write a essay on online classes during lockdown

Essay on Online Classes During Lockdown

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100 Words Essay on Online Classes During Lockdown

Introduction.

Online classes during lockdown have become a new normal. Schools shut down, but learning never stopped, thanks to technology.

Online classes provide flexibility and convenience. Students can learn from the safety of their homes, reducing the risk of virus spread.

However, it’s not all rosy. Some students face issues with internet access and distractions at home.

Despite challenges, online classes have ensured uninterrupted learning. They are a testament to human adaptability in crisis times.

250 Words Essay on Online Classes During Lockdown

The COVID-19 pandemic has necessitated a dramatic shift in the educational landscape, with online classes becoming the new norm. This abrupt transition has brought both challenges and opportunities for students and educators alike.

Benefits of Online Learning

Online classes have enabled uninterrupted learning during lockdown. With the ability to access course materials anytime and anywhere, students have the flexibility to learn at their own pace. This self-paced learning can enhance understanding and retention. Furthermore, online platforms facilitate the use of multimedia content, making learning interactive and engaging.

Challenges and Solutions

However, online learning is not without its challenges. Issues such as lack of access to technology, internet connectivity, and a suitable learning environment can hinder students’ progress. To mitigate these, institutions can provide technological support, while governments can invest in improving internet infrastructure.

Moreover, the lack of face-to-face interaction can lead to feelings of isolation. To counter this, educators can foster a sense of community through discussion forums, group projects, and regular video conferencing.

In conclusion, while online classes during lockdown have presented a unique set of challenges, they have also opened up new avenues for learning. As we navigate this new normal, it is crucial to address the challenges and leverage the opportunities to ensure quality education for all. The pandemic has underscored the importance of adaptability and resilience, qualities that will serve students well in their future endeavors.

500 Words Essay on Online Classes During Lockdown

The COVID-19 pandemic has dramatically reshaped the education sector worldwide. As lockdowns and social distancing measures were implemented, traditional classroom-based education was abruptly disrupted. In response, online classes emerged as a lifeline, ensuring the continuity of learning during lockdown.

The Transition to Online Learning

The advantages of online classes.

Despite the challenges, online classes have presented several advantages. First, they have allowed learning to continue in the face of a global crisis. Second, they have provided a flexible learning environment, where students can learn at their own pace and according to their own schedules. Third, online classes have broadened access to education, allowing students from remote or disadvantaged backgrounds to participate in learning activities that would otherwise be inaccessible.

The Challenges of Online Learning

However, online learning has also exposed several issues. The digital divide has become more apparent, with students from lower socio-economic backgrounds struggling to access the necessary technology and stable internet connections. Additionally, online learning requires a high level of self-discipline and motivation, which can be challenging for many students. There is also the issue of reduced social interaction, which can impact students’ mental health and sense of community.

The Role of Instructors in Online Learning

The future of online learning.

The experience of online classes during lockdown has highlighted the potential of digital learning. It has shown that education can be made more accessible, flexible, and adaptable through the use of technology. However, it has also underscored the need for strategies to address the challenges that online learning presents. As we move forward, the lessons learned during this period can inform the development of more effective and inclusive online learning systems.

In conclusion, online classes during lockdown have been a crucial response to an unprecedented global crisis. They have ensured the continuity of education while also revealing both the potential and the challenges of online learning. As we emerge from the pandemic, these insights can guide us in creating a more resilient and inclusive educational system for the future.

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• Education Theory for Online Learning Words: 590
• Information Technology Enabled Online Learning Words: 1099
• Pros and Cons of Online Learning Words: 1102
• Online Learning vs. In-Person Learning Words: 580
• Online Learning Technologies Words: 842
• Theories, Tools, and Principles of Online Learning Words: 832
• Why More and More Students Are Taking Online Classes? Words: 588
• Online Learning and Education Course Reflections Words: 559
• Distance Learning: Advantages and Disadvantages Words: 2754
• Benefits, Challenges, and Opportunities of Distance Learning Words: 2787

Online Learning During the Pandemic

Today’s rapid shift in the traditional patterns of social lifestyle caused by the COVID-19 pandemic outbreak has resulted in the necessity to define possible approaches to living a full-scale life while respecting the need for social distancing. Thus, one of the major challenges in the context was to define the patterns of work and education process during the global lockdown. When it comes to the notion of education, the process of online learning has become a salvation to the problem of education access and efficiency. The definition of online learning stands for an umbrella term that encompasses a series of machine-learning techniques that allow learners to acquire relevant knowledge with the help of technology in a certain sequence [1]. Although the process of online learning has become widely popular due to an ongoing emergency, the term genesis can be traced back to decades prior to COVID-19, as machine learning is also regarded as a scientific outbreak besides being an urgent problem solution [2]. Thus, once the necessity of technological intervention in education became an absolute necessity, there had already been a variety of devices and software applications to implement.

Over the times of the pandemic, the concept of educational technology (EdTech) has become widely popular with software developers and investors. In fact, EdTech, despite a relatively long existence in the market, has now introduced a variety of software applications like Classplus and Edmingle that would facilitate the process of education in both developing and developed countries [3]. Moreover, the already existing educational sources powered by Microsoft and Google are also of great efficiency for today’s learners, as their plain yet efficient design helps students accommodate quickly to the process. Hence, taking everything into consideration, it might be concluded that the process for online education that was rapidly facilitated by a pandemic outbreak is likely to develop greatly over the next few years, creating a full-scale competition for conventional patterns of learning.

S. C. H. Hoi, D. Sahoo, J. Lu, and P. Zhao. “Online learning: A comprehensive survey,” SMU Technical Report , vol. 1, pp. 1-100, 2018.

A. Muhammad, and K. Anwar. “Online learning amid the COVID-19 pandemic: Students’ perspectives.” Online Submission , vol. 2, no. 1, pp. 45-51, 2020.

D. Shivangi. “Online learning: A panacea in the time of COVID-19 crisis.” Journal of Educational Technology Systems , vol. 49, no.1, pp. 5-22, 2020.

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• Published: 25 January 2021

Online education in the post-COVID era

• Barbara B. Lockee 1  

Nature Electronics volume  4 ,  pages 5–6 ( 2021 ) Cite this article

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The coronavirus pandemic has forced students and educators across all levels of education to rapidly adapt to online learning. The impact of this — and the developments required to make it work — could permanently change how education is delivered.

The COVID-19 pandemic has forced the world to engage in the ubiquitous use of virtual learning. And while online and distance learning has been used before to maintain continuity in education, such as in the aftermath of earthquakes 1 , the scale of the current crisis is unprecedented. Speculation has now also begun about what the lasting effects of this will be and what education may look like in the post-COVID era. For some, an immediate retreat to the traditions of the physical classroom is required. But for others, the forced shift to online education is a moment of change and a time to reimagine how education could be delivered 2 .

Looking back

Online education has traditionally been viewed as an alternative pathway, one that is particularly well suited to adult learners seeking higher education opportunities. However, the emergence of the COVID-19 pandemic has required educators and students across all levels of education to adapt quickly to virtual courses. (The term ‘emergency remote teaching’ was coined in the early stages of the pandemic to describe the temporary nature of this transition 3 .) In some cases, instruction shifted online, then returned to the physical classroom, and then shifted back online due to further surges in the rate of infection. In other cases, instruction was offered using a combination of remote delivery and face-to-face: that is, students can attend online or in person (referred to as the HyFlex model 4 ). In either case, instructors just had to figure out how to make it work, considering the affordances and constraints of the specific learning environment to create learning experiences that were feasible and effective.

The use of varied delivery modes does, in fact, have a long history in education. Mechanical (and then later electronic) teaching machines have provided individualized learning programmes since the 1950s and the work of B. F. Skinner 5 , who proposed using technology to walk individual learners through carefully designed sequences of instruction with immediate feedback indicating the accuracy of their response. Skinner’s notions formed the first formalized representations of programmed learning, or ‘designed’ learning experiences. Then, in the 1960s, Fred Keller developed a personalized system of instruction 6 , in which students first read assigned course materials on their own, followed by one-on-one assessment sessions with a tutor, gaining permission to move ahead only after demonstrating mastery of the instructional material. Occasional class meetings were held to discuss concepts, answer questions and provide opportunities for social interaction. A personalized system of instruction was designed on the premise that initial engagement with content could be done independently, then discussed and applied in the social context of a classroom.

These predecessors to contemporary online education leveraged key principles of instructional design — the systematic process of applying psychological principles of human learning to the creation of effective instructional solutions — to consider which methods (and their corresponding learning environments) would effectively engage students to attain the targeted learning outcomes. In other words, they considered what choices about the planning and implementation of the learning experience can lead to student success. Such early educational innovations laid the groundwork for contemporary virtual learning, which itself incorporates a variety of instructional approaches and combinations of delivery modes.

Online learning and the pandemic

Fast forward to 2020, and various further educational innovations have occurred to make the universal adoption of remote learning a possibility. One key challenge is access. Here, extensive problems remain, including the lack of Internet connectivity in some locations, especially rural ones, and the competing needs among family members for the use of home technology. However, creative solutions have emerged to provide students and families with the facilities and resources needed to engage in and successfully complete coursework 7 . For example, school buses have been used to provide mobile hotspots, and class packets have been sent by mail and instructional presentations aired on local public broadcasting stations. The year 2020 has also seen increased availability and adoption of electronic resources and activities that can now be integrated into online learning experiences. Synchronous online conferencing systems, such as Zoom and Google Meet, have allowed experts from anywhere in the world to join online classrooms 8 and have allowed presentations to be recorded for individual learners to watch at a time most convenient for them. Furthermore, the importance of hands-on, experiential learning has led to innovations such as virtual field trips and virtual labs 9 . A capacity to serve learners of all ages has thus now been effectively established, and the next generation of online education can move from an enterprise that largely serves adult learners and higher education to one that increasingly serves younger learners, in primary and secondary education and from ages 5 to 18.

The COVID-19 pandemic is also likely to have a lasting effect on lesson design. The constraints of the pandemic provided an opportunity for educators to consider new strategies to teach targeted concepts. Though rethinking of instructional approaches was forced and hurried, the experience has served as a rare chance to reconsider strategies that best facilitate learning within the affordances and constraints of the online context. In particular, greater variance in teaching and learning activities will continue to question the importance of ‘seat time’ as the standard on which educational credits are based 10 — lengthy Zoom sessions are seldom instructionally necessary and are not aligned with the psychological principles of how humans learn. Interaction is important for learning but forced interactions among students for the sake of interaction is neither motivating nor beneficial.

While the blurring of the lines between traditional and distance education has been noted for several decades 11 , the pandemic has quickly advanced the erasure of these boundaries. Less single mode, more multi-mode (and thus more educator choices) is becoming the norm due to enhanced infrastructure and developed skill sets that allow people to move across different delivery systems 12 . The well-established best practices of hybrid or blended teaching and learning 13 have served as a guide for new combinations of instructional delivery that have developed in response to the shift to virtual learning. The use of multiple delivery modes is likely to remain, and will be a feature employed with learners of all ages 14 , 15 . Future iterations of online education will no longer be bound to the traditions of single teaching modes, as educators can support pedagogical approaches from a menu of instructional delivery options, a mix that has been supported by previous generations of online educators 16 .

Also significant are the changes to how learning outcomes are determined in online settings. Many educators have altered the ways in which student achievement is measured, eliminating assignments and changing assessment strategies altogether 17 . Such alterations include determining learning through strategies that leverage the online delivery mode, such as interactive discussions, student-led teaching and the use of games to increase motivation and attention. Specific changes that are likely to continue include flexible or extended deadlines for assignment completion 18 , more student choice regarding measures of learning, and more authentic experiences that involve the meaningful application of newly learned skills and knowledge 19 , for example, team-based projects that involve multiple creative and social media tools in support of collaborative problem solving.

In response to the COVID-19 pandemic, technological and administrative systems for implementing online learning, and the infrastructure that supports its access and delivery, had to adapt quickly. While access remains a significant issue for many, extensive resources have been allocated and processes developed to connect learners with course activities and materials, to facilitate communication between instructors and students, and to manage the administration of online learning. Paths for greater access and opportunities to online education have now been forged, and there is a clear route for the next generation of adopters of online education.

Before the pandemic, the primary purpose of distance and online education was providing access to instruction for those otherwise unable to participate in a traditional, place-based academic programme. As its purpose has shifted to supporting continuity of instruction, its audience, as well as the wider learning ecosystem, has changed. It will be interesting to see which aspects of emergency remote teaching remain in the next generation of education, when the threat of COVID-19 is no longer a factor. But online education will undoubtedly find new audiences. And the flexibility and learning possibilities that have emerged from necessity are likely to shift the expectations of students and educators, diminishing further the line between classroom-based instruction and virtual learning.

Mackey, J., Gilmore, F., Dabner, N., Breeze, D. & Buckley, P. J. Online Learn. Teach. 8 , 35–48 (2012).

Google Scholar  

Sands, T. & Shushok, F. The COVID-19 higher education shove. Educause Review https://go.nature.com/3o2vHbX (16 October 2020).

Hodges, C., Moore, S., Lockee, B., Trust, T. & Bond, M. A. The difference between emergency remote teaching and online learning. Educause Review https://go.nature.com/38084Lh (27 March 2020).

Beatty, B. J. (ed.) Hybrid-Flexible Course Design Ch. 1.4 https://go.nature.com/3o6Sjb2 (EdTech Books, 2019).

Skinner, B. F. Science 128 , 969–977 (1958).

Article   Google Scholar  

Keller, F. S. J. Appl. Behav. Anal. 1 , 79–89 (1968).

Darling-Hammond, L. et al. Restarting and Reinventing School: Learning in the Time of COVID and Beyond (Learning Policy Institute, 2020).

Fulton, C. Information Learn. Sci . 121 , 579–585 (2020).

Pennisi, E. Science 369 , 239–240 (2020).

Silva, E. & White, T. Change The Magazine Higher Learn. 47 , 68–72 (2015).

McIsaac, M. S. & Gunawardena, C. N. in Handbook of Research for Educational Communications and Technology (ed. Jonassen, D. H.) Ch. 13 (Simon & Schuster Macmillan, 1996).

Irvine, V. The landscape of merging modalities. Educause Review https://go.nature.com/2MjiBc9 (26 October 2020).

Stein, J. & Graham, C. Essentials for Blended Learning Ch. 1 (Routledge, 2020).

Maloy, R. W., Trust, T. & Edwards, S. A. Variety is the spice of remote learning. Medium https://go.nature.com/34Y1NxI (24 August 2020).

Lockee, B. J. Appl. Instructional Des . https://go.nature.com/3b0ddoC (2020).

Dunlap, J. & Lowenthal, P. Open Praxis 10 , 79–89 (2018).

Johnson, N., Veletsianos, G. & Seaman, J. Online Learn. 24 , 6–21 (2020).

Vaughan, N. D., Cleveland-Innes, M. & Garrison, D. R. Assessment in Teaching in Blended Learning Environments: Creating and Sustaining Communities of Inquiry (Athabasca Univ. Press, 2013).

Conrad, D. & Openo, J. Assessment Strategies for Online Learning: Engagement and Authenticity (Athabasca Univ. Press, 2018).

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Peer-reviewed

Research Article

Student’s experiences with online teaching following COVID-19 lockdown: A mixed methods explorative study

Roles Conceptualization, Data curation, Investigation, Methodology, Project administration, Writing – original draft, Writing – review & editing

* E-mail: [email protected]

Affiliation Faculty of Health Sciences, Department of Nursing and Health Promotion, Oslo Metropolitan University, Oslo, Norway

Roles Conceptualization, Formal analysis, Investigation, Methodology, Writing – review & editing

Roles Formal analysis, Investigation, Methodology, Writing – review & editing

Affiliation Department of Primary and Secondary Teacher Education, Faculty of Education and International Studies, Oslo Metropolitan University, Oslo, Norway

Roles Investigation, Methodology, Writing – review & editing

Roles Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing

• Kari Almendingen, 
• Marianne Sandsmark Morseth, 
• Eli Gjølstad, 
• Asgeir Brevik, 
• Christine Tørris

• Published: August 31, 2021
• https://doi.org/10.1371/journal.pone.0250378
• Reader Comments

The COVID-19 pandemic lead to a sudden shift to online teaching and restricted campus access.

To assess how university students experienced the sudden shift to online teaching after closure of campus due to the COVID-19 pandemic.

Material and methods

Students in Public Health Nutrition answered questionnaires two and 12 weeks (N = 79: response rate 20.3% and 26.6%, respectively) after the lockdown in Norway on 12 March 2020 and participated in digital focus group interviews in May 2020 (mixed methods study).

Findings and discussion

Two weeks into the lockdown, 75% of students reported that their life had become more difficult and 50% felt that learning outcomes would be harder to achieve due to the sudden shift to online education. Twelve weeks into the lockdown, the corresponding numbers were 57% and 71%, respectively. The most pressing concerns among students were a lack of social interaction, housing situations that were unfit for home office purposes, including insufficient data bandwidth, and an overall sense of reduced motivation and effort. The students collaborated well in digital groups but wanted smaller groups with students they knew rather than being randomly assigned to groups. Most students agreed that pre-recorded and streamed lectures, frequent virtual meetings and student response systems could improve learning outcomes in future digital courses. The preference for written home exams over online versions of previous on-campus exams was likely influenced by student’s familiarity with the former. The dropout rate remained unchanged compared to previous years.

The sudden shift to digital teaching was challenging for students, but it appears that they adapted quickly to the new situation. A lthough the concerns described by students in this study may only be representative for the period right after campus lockdown, the study provide the student perspective on a unique period of time in higher education.

Citation: Almendingen K, Morseth MS, Gjølstad E, Brevik A, Tørris C (2021) Student’s experiences with online teaching following COVID-19 lockdown: A mixed methods explorative study. PLoS ONE 16(8): e0250378. https://doi.org/10.1371/journal.pone.0250378

Editor: Mohammed Saqr, KTH Royal Institute of Technology, SWEDEN

Received: September 30, 2020; Accepted: April 6, 2021; Published: August 31, 2021

Copyright: © 2021 Almendingen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All relevant data are within the manuscript and its Supporting Information files.

Funding: The author(s) received no specific funding for this work.

Competing interests: The authors have declared that no competing interests exist.

Introduction

The Coronavirus 2019 (COVID-19) pandemic has caused extraordinary challenges in the global education sector [ 1 , 2 ]. Most countries temporarily closed educational institutions in an attempt to contain the spread of the virus and reduce infections [ 3 ]. In Norway, the move to online teaching and learning methods accelerated as a consequence of the physical closure of universities and university colleges on 12 March 2020 [ 4 ]. Education is better implemented through active, student-centered learning strategies, as opposed to traditional educator-centered pedagogies [ 5 , 6 ]. At the time of the COVID-19 outbreak, the decision to boost the use of active student-centered learning methods and digitalisation had already been made at both the governmental and institutional levels [ 7 , 8 ] because student-active learning (such as use of student response systems and flipping the classroom) increase motivation and improve learning outcomes [ 5 , 7 , 9 ]. However, the implementation of this insight was lagging behind. Traditional educator-centered pedagogies dominated higher education in Norway prior to the lockdown, and only 30% of academic teachers from higher institutions reported having any previous experience with online teaching [ 4 ]. Due to the COVID-19 lockdown, most educators had to change their approaches to most aspects of their work overnight: teaching, assessment, supervision, research, service and engagement [ 4 , 10 ].

Bachelor’s and master’s in Public Health Nutrition (PHN) represents two small-sized programmes at Oslo Metropolitan University (OsloMet). PHN is defined as ‘the application of nutrition and public health principles to design programs, systems, policies, and environments that aims to improve or maintain the optimal health of populations and targeted groups’ [ 11 , 12 ]. Traditional teaching methods dominated on both programs during winter 2020. Following the lockdown, online learning for the continuation of academic activities and the prevention of dropouts from study programmes in higher education were given the highest priority. Due to an extraordinary effort by both the administrative and academic staff, digital alternatives to the scheduled on-campus academic activities were offered to PHN students already in the first week following lockdown. The scheduled on-campus lectures were mainly offered as live-streamed plenary lectures lasting 30–45 minutes, mainly using the video conferencing tool Zoom. Throughout the spring semester educators received training in digital teaching from the institution and increasingly made use of online student response systems (such as Padlet and Mentimeter) as well as tools to facilitate digital group-work (Zoom/Microsoft Teams). Non-theoretical lectures (e.g. cooking classes), were cancelled, and face-to-face exams were re-organized into digital alternatives in order to ensure normal teaching operations. Several small tweaks were employed to minimize dropout. There was no time for coordinating the different courses with regards to the types of online teaching activities, exams and assessments. Social media, i.e Facebook, and SMS were the primary communication channels the first week after lockdown. The use of learning management systems (LMS) Canvas and digital assessment system, Inspera, remained mainly unchanged. Due to the new situation, the deadline for the submission of bachelor theses was postponed by 48 hours. In addition, bachelor students submitting their thesis where given permission to use the submission deadline for the deferred exam in August as their ordinary exam deadline. The deadline for the submission of master theses was extended by one week, but all planned master exams were completed by the end of June, including oral examinations using Zoom instead of the traditional face-to-face examinations on campus. Even though most of the new online activities where put in place with limited regard for subtle nuances of pedagogical theory, and did not allow for much student involvement, the dropout rate from PHN programs remained unchanged compared to previous years. PHN is a small-sized education with close follow up of students. However, although the students experienced a digital revolution overnight, we know little about how they experienced the situation after the university closed for on-campus activities.

Accordingly, the purpose of this study was to assess how Norwegian PHN students experienced the shift to digital teaching following campus lockdown. Students were also asked to provide feedback on what might improve the learning outcomes in future online lectures and courses.

Design and sampling

This study utilised a mixed methods cross-sectional design, where quantitative and qualitative methods complemented each other. An invitation to participate was sent out to 79 eligible students via multiple channels (Facebook, Teams, Zoom, LMS Canvas, SMS), with several reminders. The only eligibility criteria was being a student in PHN during spring 2020. All students received the quantitative survey. Due to few students eligible for each focus group interview, all who wanted to participate were interviewed/included. The invited students were in their second-year (n = 17) and third-year (n = 28) bachelor’s and first-year (n = 13) and second-year (n = 21) master’s programme at PHN in the Faculty of Health Sciences at OsloMet. The response rate was 16/79 (20.3%) and 21/79 (26.6%). Two focus group interviews were scheduled in each class (a total of 8) but only 4 interviews were conducted. The research team was heterogeneously composed of members with both pedagogical and health professional backgrounds.

Online questionnaire

To the best of our knowledge, this study was the first “corona” study at our Faculty. No suitable national or international questionnaire had been developed and /or validated by March 2020. Hence, online questionnaires for the present study were designed virtually ‘over-night’. The questions were however based on experiences from a large-scale interprofessional learning course using the blended learning approach at OsloMet [ 13 , 14 ] and specific experiences that academic staff in Norway reported during the first week of teaching during the lockdown [ 4 ]. The questionnaires were based on an anonymous self-administrated web survey ‘Nettskjema’ [ 15 ]. ‘Nettskjema’ is a Norwegian tool for designing and conducting online surveys with features that are customised for research purposes. It is easy to use, and the respondents can submit answers from a browser on a computer, mobile phone or tablet. During the first week after lockdown, the questionnaire was sent out to university colleagues and head of studies and revised accordingly. The questionnaires were deliberately kept short because the response rate is generally low in student surveys [ 16 ]. Ideally, we should have pretested and validated the questionnaires, but this was not possible within the short-time frame after lockdown. Items were measured on a five-level ordinal scale (Likert scale 0–5). The two forms contained both numerical and open questions, permitting both quantitative and qualitative analyses. The first questionnaire was sent out to the students on 25 March 2020 (two weeks after the closure of university campus; students were asked to submit their answers during the period from 12 March until the link was closed at Easter Holiday), and the second questionnaire was sent on 3 June 2020 (12 weeks after closure; students were asked to submit their answers during the period after Easter and until the end of the spring semester). The questionnaires were distributed as web links embedded in the LMS Canvas application. Because live-streamed lectures were offered primarily through Zoom during the first weeks, students were not asked about interactive digital teaching and tools in the first questionnaire. At the end of both questionnaires, the students were asked what they believed could improve the learning experience in future online education. The qualitative part consisted of text answers to open questions from the two electronic questionnaires.

Digital focus group interview

To capture meaningful insights into the participants experiences, we conducted digital focus group interviews [ 17 ], aiming to conduct one digital focus group interview in each class. PHN is a small sized education, and the teachers know all the students. The focus group interviews were therefore performed by two external independent researchers (EG and CT) who are not directly involved in the PHN education and had no prior knowledge to the students. The two interviewers (moderators) were middle-aged female teachers working in the university, and both have significant experience in digitalizing education. They were presented to the participants as researchers from the university. The report of this study was guided by the consolidated criteria for reporting qualitative research (COREQ). The interviews were conducted via the video conferencing system Zoom during May 2020, following internal guidelines [ 18 ]. In the focus group interviews, the participants reflected on their own experiences, and the moderator guided the discussion using a semi-structured interview guide. This guide was prepared based on the research questions. One pilot interview was conducted, which resulted in some minor changes to the interview guide. The results from the pilot interview are not included in the results. The focus group interviews lasted for approximately one hour, and five students were invited to each focus group interview. The interviews were not recorded, but the moderator took notes, ensuring that the participants remained anonymised.

Data analysis

Quantitative data are described descriptively with numbers and percentages. Apart from re-categorization of response categories, no statistical analysis was performed. Quantitative data were extracted directly from the survey system. Answers in categories 0 or 1 were categorised as ‘Disagree/slightly agree’, answers in categories 2 or 3 were categorised as ‘Somewhat agree’ and answers in categories 4 or 5 were categorised as ‘Agree’. Qualitative data were analysed using systematic text condensation (STC), inspired by Giorgi’s phenomenological approach and modified by Malterud [ 17 ]. First, the entire texts (from the interviews) were read to get an overall impression, and preliminary themes were derived from the interviews. Then, meaning units, such as sentences and words, were identified and connected with the preliminary theme to elucidate the study question. The meaning units were then coded and systemized into groups, so that meaning could be abstracted from the different code groups. Finally, the meanings of the various units were summarised. The qualitative data from the questionnaire were then extracted by the moderators, and the words and sentences were identified and abstracted. In order to ensure quality, the notes from the focus group interviews and the text answers from the questionnaires were reviewed by both moderators.

Ethical considerations

All participants gave their informed consent. The questionnaires did not include questions about personal health information or sensitive data. The quantitative data were collected through an anonymous web survey using ‘Nettskjema’ [ 15 ]. Internal routines at OsloMet for using Zoom in research interviews were applied [ 18 ]. In the interviews, the participants provided their written consent in the chat without their names and remained anonymous. The data protection was approved by the Norwegian Centre for Research Data (NSD, reference no. 846363), as PHN is a small-sized study programme and because Zoom was used for the digital focus group interviews.

Quantitative data

There were 16 (20.3%) and 21 (26.6%) students who answered the questionnaires two and 12 weeks after lockdown, respectively ( Table 1 ). Both samples had an even distribution of bachelor and master students.

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https://doi.org/10.1371/journal.pone.0250378.t001

Among the respondents two and 12 weeks after lockdown, 7/16 students (44%) and 9/21 students (43%) reported having previous experience with online learning, respectively ( Table 1 ). After two weeks of forced online education, 8/16 students (50%) expected that their learning outcomes would be inferior with online education compared to their pre-COVID-19 education at campus. After 12 weeks, 15/ 21 students (71%) expected that their learning outcome would be lower, and, notably, none of the students expected that it would be higher. On both occasions, most students reported that studying had become more difficult compared to the time before the pandemic.

Several of the identified challenges with online education were reported by more than 50% of the students, and there was an uneven spread across categories of answers (Tables 2 and 3 ). Only one of 16 students (6%) agreed that they needed to increase their digital competence, but approximately half reported having technical challenges at home. All of the students agreed that the lack of contact with other students was a challenge. However, after 12 weeks, the lack of contact with academic staff seemed to pose less of a challenge.

https://doi.org/10.1371/journal.pone.0250378.t002

https://doi.org/10.1371/journal.pone.0250378.t003

After 12 weeks, 20/21 students (95%) agreed that their motivation and effort had been reduced. At the same time, all students wanted to return to campus. Only 5/21 (24%) reported that their learning outcomes had not deteriorated.

Suggestions for how to increase learning outcome in future digital courses

Two weeks after lockdown, most students answered that the use of different components of online education would improve the learning outcomes in a future online course ( Table 4 ). Regarding participation in digital group work, there was a nearly even spread across the different categories of answers. Finally, participants preferred written home exams and feedback over the digital options suggested ( Table 5 ).

https://doi.org/10.1371/journal.pone.0250378.t004

https://doi.org/10.1371/journal.pone.0250378.t005

After 12 weeks of (forced) online teaching, more ambivalence toward the use of digital learning tools could be detected ( Table 6 ). However, the proportion of students who agreed that digital group work would increase the learning outcomes seemed unchanged (around 1/3 of both samples). In line with the findings obtained only two weeks after lockdown, written submissions and feedback seemed to be preferable to digital exam options ( Table 7 ).

https://doi.org/10.1371/journal.pone.0250378.t006

https://doi.org/10.1371/journal.pone.0250378.t007

After 12 weeks, 16/21 students (76%) agreed that social interaction plays a role in learning outcomes and well-being ( Table 8 ), and an equal proportion agreed that it was important that everyone had their camera on during teaching.

https://doi.org/10.1371/journal.pone.0250378.t008

There were 15/21 students (71%) who agreed that their digital competence and interest in digital teaching methods had increased while 6/21 students (29%) disagreed with this statement.

Qualitative data

In total, there were four master students who participated in digital focus group interviews (on two different occasions, with three students and one student in the groups, respectively).

Digital lectures.

The students were satisfied with the teaching and reported that the lecturers were competent in arranging online teaching. The lecturers were also good at adapting to the students’ wishes regarding teaching. Lectures that were streamed live (synchronous classes) were preferred over recordings (asynchronous). One student said it was a privilege to still be able to study even though the university campus was closed due to corona and all the lectures were digital. The students expressed that it is an advantage if the lecturer has digital competence to ensure that the lecture runs smoothly without digital/technical problems, or if there is a co-host who can assist. Technical competence is also important when invitation links are sent out. It signals that the student group is well taken care of. The informants described a course co-ordinator as a person with a good overview and sense of responsibility—someone who is good at structure and order. These qualities were highlighted as important in a fully digitalised teaching program.

The students did not support compulsory attendance, as it would reduce the feeling of freedom that most students value. If learning activities were compulsory, students felt it might also present challenges in dealing with their children and part-time work. The students expressed that most of their fellow students were present in lectures that went live on Zoom. One student stated that live digital lectures were best because it was easier to ask questions. When using a flipped classroom or recordings, the questions must be written down and asked afterwards, but both options (flipped classroom and live streaming) were perceived as fine.

Interestingly, the qualitative results from the questionnaire indicated that some students found it easy to ask questions, while others thought it had become more difficult. According to one student, ‘As long as we have the opportunity to ask questions online, I think it will go just fine. I commute three hours per school day to get to and from school, so I feel I have more time to work with school now that the lecture is online’.

One of the informants thought that interaction was challenging, and it did not feel as natural to ask questions in online classes. ‘Raising your hand’ was not perceived to be as easy as in the face-to-face setting on campus, which could mean that the students did not always get answers to their questions.

The students’ indicated that recorded lectures should not be longer than one hour, as it is easy to lose focus, and one must rewind the recordings. For live online lectures, two hours was deemed fine, and they were perceived as fun to watch. However, each session of the live online lectures should not be longer than 45 minutes.

The online teaching (mainly in the form of synchronous plenum lectures originally intended as on-campus lectures) was challenging in the beginning because some students fell out of the digital rooms due to technical reasons, but it got better over time. Some students experienced poor bandwidth, which led to them not being able to turn on their camera and reduced sound quality. One student stated that poor internet quality was something he could not do anything about, but it resulted in a non-optimal learning situation. It was suggested that using a flipped classroom/recorded lectures in the first weeks after lockdown could have solved this problem.

The respondents pointed out that the use of several conference systems/channels in addition to LMS Canvas provided a poor overview and ineffective communication, and they would prefer a single learning platform. The students were unsure how to contact their teachers in the first weeks after lockdown due to the use of several platforms. Even with a single contact channel (LMS), the students found that the threshold barrier for sending questions to the teacher through email was high.

When asked what they thought about ‘black screens’ (students turning off the camera), several answered that this reduced the quality of communication between the lecturer and student. The lecturer missed affirmative nods from students, and the students also likely missed parts of the communication when the camera was turned off. In some of the lectures, all of the students were encouraged to keep the camera on, and some of the lecturers asked the students questions to initiate two-way communication. The students expressed that it was nice to see the other attending students on video. Furthermore, the participants felt that the lecturers mainly engaged the students who had their camera on. However, several students said that they turned off their cameras during the lectures because the session was being recorded. Another stated that having the camera on was particularly useful when having discussions in digital groups. The students who participated in the survey wished for more recorded lectures, indicating that their lecturers did not do this often.

One of the informants assumed that she would have turned off the camera when recording the lecture, and she thought she had not contributed much. She would have to consider whether a question was ‘stupid’ before asking it, and probably she had not asked any questions at all. She thought this was due to habit, and she indicated that one might get used to being recorded. That is, if recording had been the norm and she had become accustomed to it, it would have been easier to relate to.

All of the informants agreed that presentations with audio were useful, as the material could be repeated by rewinding to the desired location. They also reported that it sometimes took a while for the teachers to post such files, even though the students found these learning resources very useful.

They noticed an increased attendance rate among their peers in the online lectures, which they perceived as positive. The reason for the increased attendance, they believed, was that many students have to make a long trip to attend class, and the threshold for participating had become lower now that all teaching was online. This was supported by the qualitative results from the questionnaire, where a student said, ‘I commute several hours per school day to get to and from school, so I feel I have more time to work with school now that the lecture is online’.

However, one of the informants pointed out that it is important for students to be able to talk to each other when the lecturer is not present, that group activities should be arranged and that they should be provided with opportunities for voluntary meetings on campus in their spare time. One of the informants believed it to be important that the students themselves have a responsibility to address the learning environment and initiate meetings in both academic and social arenas. One felt that it was not desirable that the university was responsible for social contact between peers. It was suggested that time could be set aside, for example, after teaching, so that only students could talk together. It was expressed that in order to preserve social aspects in digital teaching and learning, the first meeting should be on campus. A mentor scheme was suggested, where former students could give tips and advice on how to function as a ‘digital student’.

Digital group work.

The students expressed that they mainly collaborated well in digital groups (breakout rooms). Communication usually worked well with both the teacher and peers in these digital rooms. Nevertheless, some students reported that group work was not effective when it was carried out in ‘breakout rooms’. The students felt that the allocated time for group work was too short for collaboration, and some of the time was spent on technical challenges. There were also some students who withdrew from the group work, which the respondents believed was because some were shy. One student said that discussions during group work paid off and that communication worked well, but it was a pity that so few students participated. Getting to know the others in the group well was also deemed to be important for the level of collaboration and professional discussions. The students did not like to be randomly assigned into groups. However, they expressed that it would be advantageous to plan for more group work in smaller groups.

Another positive effect of online teaching the students highlighted was the increased amount of written feedback from lecturers on work submitted voluntarily. The students perceived that this was offered as a compensation for shorter teaching sessions.

One of the respondents thought that it was important to socially interact with peers and missed having lunch with fellow students. Others felt that there had not been many social gatherings in the group previously, and so they did not experience the absence of fellow students as a great loss. They also pointed out that students who had met each other physically at an earlier time had a different starting point in online meetings and for online education. One student stated, ‘Getting to know new peers digitally feels weird’. Furthermore, one of the informants pointed out that most people have a general need for physical contact, and that touching and eye-to-eye contact is important.

Motivation.

Some of the students were more motivated to participate in online learning activities, yet it was perceived to require greater effort to stay motivated and ‘in the course’. Some students work alongside their studies and thus do not attend classes, and others have children who must be tended to. Some indicated that student response systems such as Mentimeter, Quizlet, Padlet, Kahoot! and the use of polls was motivating factors, but it depended on the context in which they were used. Some of the students reported that they especially liked Kahoot, but it was important that the use of such response systems was done in a structured way. They expressed that they liked the teaching programme, which consisted of an introductory video and teaching in which the basics were presented, followed by group work and finally teaching, where the teacher went more in depth. This approach made it easier to follow the teaching and to ask questions.

The students said it was good for motivation when an overview of the course content was published, as it contributed to predictability and more people participate when they know what is planned.

Nevertheless, the qualitative results from the questionnaire indicated that it was difficult to get an overview of everything that needed to be done. It could be challenging to concentrate and have self-discipline due to many distractions, which reduced the students’ motivation. Several students expressed that they felt alone in their studies, and it was difficult to feel alone with the responsibility for learning the curriculum. One student wrote that there was considerable uncertainty, which negatively affected concentration, and that the COVID-19 crises was a difficult time for everyone.

Overall, these students were satisfied with the ad hoc online teaching after the lockdown, although they experienced self-perceived reduced learning outcomes compared to the pre-pandemic situation. It appears that they adapted quickly to the new situation, but they also reported difficulties with the transition to new teaching methods. Based on both the surveys and interviews, the most pressing concerns among students were a lack of social interaction, housing situations that were unsuitable for home office purposes, including insufficient data bandwidth, and a sense of reduced motivation and effort. PHN is a small sized education which enables close contact between educators and students. The low student volume might explain why the dropout rate from the bachelor and master programs remained unchanged compared to that in previous years.

Receiving teaching, supervision, exams and assessments solely through online solutions was a new experience for these students. Apart from a 15-credit mandatory bachelor course offered as hybrid learning (7), traditional teaching methods still dominated the bachelor and master study programmes of PHN in winter 2020. Importantly, the students evaluated the ad hoc solutions offered during the chaotic spring of 2020 rather than a well-planned, high-quality online education using student-active methods [ 5 ]. Teachers switched to online teaching without any time to learn the technology, or standard quality online teaching practices [ 4 ]. They had many years of experience teaching in -person, and they had arranged their lessons and interactive elements around this mode of learning. Alternatively, they had very little experience teaching online. The students’ experiences in these online learning environments, which were thrown together at the last minute, are not necessarily indicative of students’ experiences in a quality online course based on principles from Quality Matters online education [ 19 ].

Although the students reported reduced learning outcomes after 12 weeks dominated by synchronous live-streamed lectures lasting for 30–45 minutes on Zoom, they had positive attitudes toward use of digital learning materials and tools in future online courses. For asynchronous lectures, the rule of thumb in online education is less than 10–15 minutes [ 19 ]. Although lectures of 45 minute duration is far beyond what is recommended for digital teaching [ 19 ], the students responded based on their recent experiences where many teachers, for reasons of feasibility, conducted their planned on-campus lectures digitally shortly after lockdown. Some of the students also reported that they especially liked Kahoot, however, since we wanted to keep the research questionnaire short, we did not ask more in detail for concrete digital tools. A pre-corona study from OsloMet reported that physiotherapy students’ attitudes toward a flipped classroom intervention were mainly positive, although the academic outcomes from the final exam were similar to those in previous years [ 20 ]. Further, in a recent large-scale pre-COVID-19 blended learning interprofessional course conducted a few weeks ahead of the lockdown, first-year bachelor’s students at OsloMet reported positive perceptions of the blended learning approach, using only short video clips (less than 10 minutes) [ 21 ]. Approximately 3/4 of the students in that study disagreed that virtual group discussions resulted in better learning outcomes than face-to-face group discussions. The present data do not conflict with the findings from that larger-scale study.

The students expressed in various ways that online teaching with a lack of social interaction leads to worse learning outcomes and lower levels of motivation and well-being. Concerns about lack of face-to-face contact may have been aggravated by the stressful situation, and contentment with teaching methods would likely improve if teachers had been able to integrate the appropriate elements in a fully digitalized course. Face-to-face interactions provide the foundation for social communication, the lack of which can be viewed as a critical disadvantage of online learning [ 5 ]. Face-to-face training may be particular crucial for candidates expected to have communication skills, such as nutritionists [ 11 , 12 , 22 – 24 ]. The ad hoc solutions for teaching offered during the 2020 spring term were thus not in agreement with the suggested conceptual dimensions, which allow students to expand their knowledge beyond the intended learning outcome established by the teacher: motivation and attention [ 5 ].

The students expressed concerns that are common in traditional in‐class teaching as well, and such issues should not be overlooked in online teaching [ 25 , 26 ]: insufficient pre‐class study preparation, limited participation and inadequate depth in class discussions. Quality of education lies in the knowledge, skills and expertise that are conveyed as well as in the manner in which they are communicated and learned [ 7 , 26 ]. In different ways, the students’ responses revolved around central quality aspects, such as learning objectives, content, programme design, adaptation, teaching, work methods, supervision and forms of assessment [ 7 ]. These findings are in agreement with other studies on COVID‐19 and education [ 4 , 25 , 27 ].

The students stated that they received insufficient information about the exams. This is understandable because staff initially did not know how the different exams would be digitally transformed in spring term 2020. Asked about exam preferences students said that they preferred longer written exams at home, over old campus-style exams, with short timelines, adapted to an online format. They also preferred multi-day written home exams over potential alternatives such as video or podcasts, which none of them had tried before. It should be noted that they had limited experience with digital options. Student-produced podcast and video have been used as formative assessment forms at our university [ 14 ], but to lesser extent as formative assessment forms. The preference for written home exams over digital options was thus likely influenced by student’s familiarity with the former since no exams during this time-period were in the form of podcast or video. Feedback and guidance from academic staff have been found to be key aspects of study quality, and good feedback contributes to increased motivation and improved learning outcomes (6). Exam uncertainty causes undue stress, and thus a key recommendation during the transition to online learning is to ensure that all information about exams is communicated to the students clearly and in a timely manner [ 27 ].

‘Black screens’ do not necessarily reflect individuals lack of motivation and attention or embarrassment, but they may reflect a lack of digital training among freshmen or technical issues, such as poor bandwidth. Broadband bandwidth overload issues and a lack of suitable equipment will probably not be significant problems in Norway in the future. The students suggested that both flipped classrooms and live streaming should be used in future online courses. Flipping the classroom [ 9 ] ahead of live streaming, with the possibility for the students to write down questions during the live streaming or afterward in a seminar, increases flexibility. Asynchronous tools may be utilised to support students to work at different times. We cannot overlook the possibility that new students might have needs that differ from those of senior students in terms of getting accustomed to online education. Nevertheless, our date indicates that clarification of expectations constitutes an important success criteria for online teaching, especially when it comes to group work and formative and summative assessment [ 4 , 27 ].

The closure of campus may have unknown implications for society in both the short and long term [ 28 – 30 ], including impacts on educational quality and the mental health of students and academic staff [ 31 ]. If students are unable to study effectively for some unknown reason, it will make online learning ineffective, regardless of educational quality. The situation after the lockdown in Norway was confusing, and many students lost their jobs and moved back in with their parents [ 4 ]. We did not collect person-sensitive data, and thus we know little about these students’ circumstances. The dropout rate remained nearly unchanged among these students as compared to previous years. Being a small-sized education, the staff were able to follow-up each student individually using digital videoconference tools, such as Zoom and Teams. In the future, more sustainable approaches should be developed, for example, by increasing peer-to-peer interactions and through mentoring programs [ 1 ]. Reducing dropout and increasing completion rates was a strategic goal for higher education before the lockdown [ 29 ], and we do not know the impact of the lockdown on future dropout and completion rates. The high dropout rate from Massive Open Online Courses (MOOCs) has been a major concern of researchers and educators over the years [ 32 ]. Although some universities worldwide had already started offering MOOC-based undergraduate degrees before the COVID-19 pandemic [ 32 ], most MOOCs do not lead to degrees. The online courses offered in spring 2020 after the lockdown were mandatory courses leading to degrees, and thus they were not directly comparable to the voluntary MOOCs. However, such issues are premature for consideration in the present study. OsloMet is currently participating both in the future ‘The COVID-19 Multi-Country Student Well-being Study’[ 33 ] and the ‘Corona and Campus’ study [ 34 ]. The ‘Corona and Campus’ study has secondary outcomes related to teaching satisfaction and learning outcomes, and such data will have the power to inform future decision-making [ 30 ]. However, the present data were collected shortly after the national lockdown due to the COVID-19 pandemic on aspects of digitalisation relevant to the (post)-pandemic situation.

Strengths and weaknesses of the study

This study has several strengths. The most important strength is data collection shortly after a national lockdown due to the COVID-19 pandemic. The combined use of both quantitative and qualitative approaches enabled different perspectives to be captured and adds strength to the study. The triangulation allowed us to identify aspects more accurately and helped to offset the weaknesses of each approach alone. Group dynamics in focus group interviews can help bring out nuances in the data material beyond the answers to the predefined quantitative questions in the electronic questionnaires [ 17 ]. Another strength was the research team consisting of both external moderators providing objectivity, lack of vested interest and a fresh perspective, and internal evaluators who were familiar with the education and the students. One limitation is using a questionnaire which was not pre-tested or validated. However, due to time constraints shortly after campus lockdown following the COVID-19 outbreak, it was not possible to perform pre-testing or validation of the instruments used in the present study. Many of the necessary ad hoc changes to the course plans and exams (spring semester 2020) had yet to be made and decided upon when the present study was initiated, even when the first questionnaire was sent out before Easter 2020. The candidates actual achieved learning outcomes and working skills are unknown due to limited opportunities to monitor the quality of their work [ 4 ]. We do not consider it to be relevant to repeat the study, or reuse its instruments, since the acute phase after lockdown is over. PHN is a small-sized education, and the total number of students were only 79 individuals. The stress associated with the unprecedented situation may have contributed to a low response rate. Private circumstances such as poor internet connection, children at home, and lack of an adequate home office may also have contributed to a low response rate. A low response rate is also a limitation in studies performed in a normal situation [ 16 ]. We cannot rule out selection bias in the sample. The students who volunteered for the digital focus group interviews were positive and thorough. In particular, they seemed to reflect on a more general level, not restricted to their own personal situations. However, the range in age among the study participants was representative for the age range of all PHN students, and both bachelor and master students participated in the study. Data are collected from one single university, and the results might not be representative for large sized educations. Since the study is exploratory, we had not planned the data collection in order to test hypotheses. The study seeks to provide a snapshot in time of an evolving situation. Even with some limiting factors we believe the explorative study offers value since it provides a student perspective on an unprecedented black-swan event in higher education.

Conclusions

Although they had little previous experience with online education, these students seemed to adapt quickly to the sudden shift to ad hoc online education due to the COVID-19 pandemic. The most pressing concerns among students were a lack of social interaction, a feeling of being alone in their studies, unfit housing situations for home office purposes, including insufficient data bandwidth, and a sense of reduced motivation and effort. Although our data indicate that face-to-face contact was greatly missed during this time-period, a thoroughly planned online course with numerous contact points between teachers and students would likely have been received more favorably. Finally, the students expressed that they wanted more structure in future digital courses. Due to the very unusual circumstances experienced both by students and teachers in the early stages of national lockdown in Norway, we are hesitant to conclude with regards to students preferences for future online courses.

Supporting information

S1 file. spss file questionnaire 1—please see line 154..

https://doi.org/10.1371/journal.pone.0250378.s001

S2 File. SPSS file Norwegian questionnaire 1—please see line 154.

https://doi.org/10.1371/journal.pone.0250378.s002

S3 File. SPSS file questionnaire 2—please see line 154.

https://doi.org/10.1371/journal.pone.0250378.s003

S4 File. SPSS file Norwegian questionnaire 2—please see line 154.

https://doi.org/10.1371/journal.pone.0250378.s004

S5 File. Structured interview guide–please see line 145.

https://doi.org/10.1371/journal.pone.0250378.s005

Acknowledgments

The authors would like to thank the participating students and the academic and administrative staff at Oslo Metropolitan University for their contributions.

• View Article
• Google Scholar
• 2. UNESCO. Education: From disruption to recovery 2020 [09/09/2020]. Available from: https://en.unesco.org/covid19/educationresponse .
• 3. Tria JZ. The COVID-19 Pandemic through the Lens of Education in the Philippines: The New Normal. International Journal of Pedagogical Development and Lifelong Learning. 2020;1. https://doi.org/10.30935/ijpdll/8311 .
• 4. Langford M, Damşa C. Online Teaching in the Time of COVID-19: Academic Teachers’ Experience in Norway Centre for Experiential Legal Learning (CELL), University of Oslo2020 [cited 2020].
• 5. Lillejord S, Børte K. Learning and Teaching With Technology in Higher Education—a systematic review. 2018.
• 6. Vygotsky LS. Mind in society: the development of higher psychological processes. London: Harvard University Press UK: Gyldendal Akademisk; 1978.
• 7. Ministry of Education and Research. Quality Culture in Higher Education 2017.
• 8. Oslo Metropolitian University. The digital university of the future: Strategy for digital transformation 2018–2024 2018 [17/11/2019]. Available from: https://ansatt.oslomet.no/documents/585743/77463421/Strategy+for+digital+transformation.pdf .
• PubMed/NCBI
• 11. Sisk K CA, Cullinen K Guide for Developing and Enhancing Skills in Public Health and Community Nutrition. Definitions Related to Public Health Nutrition and Community Nutrition 2018 [09/09/2020]. 3rd Ed:[Available from: https://asphn.org/wp-content/uploads/2018/12/Guide-for-Developing-and-Enhancing-Skills-in-Public-Health-and-Community-Nutrition.pdf .
• 12. Academy of Nutrition and Dietetics Academy of Nutrition and Dietetics Definition of Terms List. Approved by Definition of Terms Task Force Quality Management Committee 2020 May 8, 2020 Report No.
• 13. Almendingen K, Saltyte-Benth J., Molin M. Large Scale Blended Learning Design in an Interprofessional Undergraduate Course in Norway: Context Description and Supervisors’ Perspective. The Journal of Research in Interprofessional Practice and Education (JRIPE) 2021;In press.
• 14. Almendingen K, Molin M, Šaltytė Benth J. Large-scale Blended Learning Design in an Undergraduate Interprofessional Course in Norway: Students’ Perspectives from an exploratory study The Journal of Research in Interprofessional Practice and Education (JRIPE) 2021;In press.
• 15. Nettskjema: University of Oslo; 2020. Available from: https://www.uio.no/english/services/it/adm-services/nettskjema/ .
• 16. The Norwegian Agency for Quality Assurance in Education. The students’ judgement 2018 [09/09/2019]. Available from: https://www.nokut.no/en/news/the-students-judgement/ .
• 18. Rutine for bruk av Zoom i forskningsintervjuer (in Norwegian) Oslo Metropolitian University2020 [10/09/2020].
• 19. Quality Matters online education 2021 [09/02/2021]. Available from: https://www.qualitymatters.org/index.php/ .
• 24. Ministry of Health and Care Services. The primary health and care services of tomorrow–localised and integrated. Oslo: Ministry of Health and Care Services; 2015.
• 27. Hjelsvold R, Lorås M, Bahmani A, Nykvist SS, Krokan A. First impressions from educators as NTNU transitions to an online only mode of learning 2020 [20/02/2021]. Available from: https://www.researchgate.net/project/Research-on-Learning-Activities-During-the-Covid-19-Pandemic .
• 30. McCartney M. BMJ Opinion2020. [cited 2020]. Available from: https://blogs.bmj.com/bmj/2020/08/28/margaret-mccartney-we-need-better-evidence-on-non-drug-interventions-for-covid-19/?fbclid=IwAR1jFbFk7lKcrOxIkxo7gaNJM3II6nDia_W6hXs4VWF_DI2vllS9jEqJ-vI .
• 33. University of Antwerpen. The COVID-19 Multi-Country Student Well-being Study Netherlands2020 [29/08/2020]. Available from: https://www.uantwerpen.be/en/research-groups/centre-population-family-health/research2/covid-19-internation/ .
• 34. ClinicalTrials.gov. Assocation Between In-person Instruction and COVID-19 Risk (Campus&Corona) ClinicalTrials.gov2020 [30/8/2020].

Remote Learning During COVID-19: Lessons from Today, Principles for Tomorrow

"Remote Learning During the Global School Lockdown: Multi-Country Lessons” and “Remote Learning During COVID-19: Lessons from Today, Principles for Tomorrow"

WHY A TWIN REPORT ON THE IMPACT OF COVID IN EDUCATION?

The COVID-19 pandemic has disrupted education in over 150 countries and affected 1.6 billion students. In response, many countries implemented some form of remote learning. The education response during the early phase of COVID-19 focused on implementing remote learning modalities as an emergency response. These were intended to reach all students but were not always successful. As the pandemic has evolved, so too have education responses. Schools are now partially or fully open in many jurisdictions.

A complete understanding of the short-, medium- and long-term implications of this crisis is still forming. The twin reports analyze how this crisis has amplified inequalities and also document a unique opportunity to reimagine the traditional model of school-based learning.

The reports were developed at different times during the pandemic and are complementary:

The first one follows a qualitative research approach to document the opinions of education experts regarding the effectiveness of remote and remedial learning programs implemented across 17 countries. DOWNLOAD THE FULL REPORT

WHAT ARE THE LESSONS LEARNED OF THE TWIN REPORTS?

• Availability of technology is a necessary but not sufficient condition for effective remote learning: EdTech has been key to keep learning despite the school lockdown, opening new opportunities for delivering education at a scale. However, the impact of technology on education remains a challenge.
• Teachers are more critical than ever: Regardless of the learning modality and available technology, teachers play a critical role. Regular and effective pre-service and on-going teacher professional development is key. Support to develop digital and pedagogical tools to teach effectively both in remote and in-person settings.
• Education is an intense human interaction endeavor: For remote learning to be successful it needs to allow for meaningful two-way interaction between students and their teachers; such interactions can be enabled by using the most appropriate technology for the local context.
• Parents as key partners of teachers: Parent’s involvement has played an equalizing role mitigating some of the limitations of remote learning. As countries transition to a more consistently blended learning model, it is necessary to prioritize strategies that provide guidance to parents and equip them with the tools required to help them support students.
• Leverage on a dynamic ecosystem of collaboration: Ministries of Education need to work in close coordination with other entities working in education (multi-lateral, public, private, academic) to effectively orchestrate different players and to secure the quality of the overall learning experience.
• FULL REPORT
• Interactive document
• Understanding the Effectiveness of Remote and Remedial Learning Programs: Two New Reports
• Understanding the Perceived Effectiveness of Remote Learning Solutions: Lessons from 18 Countries
• Five lessons from remote learning during COVID-19
• Launch of the Twin Reports on Remote Learning during COVID-19: Lessons for today, principles for tomorrow

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Classroom Q&A

With larry ferlazzo.

In this EdWeek blog, an experiment in knowledge-gathering, Ferlazzo will address readers’ questions on classroom management, ELL instruction, lesson planning, and other issues facing teachers. Send your questions to [email protected]. Read more from this blog.

‘My Online Learning Experience as a Student This Fall Has Been Great’

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This series highlights contributions from students in my classes.

In Part One , Cathy Liu, Julia Yang, Eliseo Angulo Lopez, and Masihullah Shafiq shared their thoughts.

In Part Two , Luis Diaz, Samantha Nicole Vicedo, Cheyenne Lo, and Manpreet Rana contribute their commentaries.

Today, Lyna Nguyen, Nono Loek, and Rachel Anjel “wrap up” this series...

Teachers ‘have been really understanding’

Lyna Nguyen is a junior at Luther Burbank High School in Sacramento, Calif.

My online learning experience as a student this fall has been great. What’s working for me is I like the 40 minutes in class and 40 minutes asynchronous time to work on our assignments. I feel like teachers have been really understanding and helpful of what we’re going through and how difficult it can be. I find it more relaxing for me because everything is organized through Google Classroom, and it puts a little stress off of me because I disliked feeling disorganized and anxious.

What is not working for me is sometimes my time management is off, and it can be a little stressful how teachers assign work really close to the due date of other class assignments. I’d rather have the assignments’ due dates spread out throughout the week. Sometimes, there are technology difficulties, which can interrupt my learning experience. Everything is also online, so it can take a while communicating with teachers. Overall, communication is delayed, and it can be difficult reaching out to teachers and asking for assistance. Even when I need help with a certain assignment, it can be difficult learning and processing information through a screen. Other than that, I appreciate teachers trying their best to make everything work during this pandemic.

‘Internet classes save time’

Nono Loek is a senior at Luther Burbank High School:

In my experience with internet classes, the good far outweighs the bad. Internet classes save time, and saving time is important to me. The studies are structured much better than I expected. I don’t really see a difference between the online and offline structures. Group work is done in separate rooms, and I think it’s not that bad, because we also learn a lot in online classes.

I sometimes miss the interaction with people, making long-lasting friendships, which is extremely important for all of us. At home, it’s hard to force yourself to take a break. I think this pandemic has t probably transformed education. Most of the things we found to be impossible have now proven to be possible.

I actually really enjoy distance learning, but sometimes I want everything to go back to normal. I also like how I don’t have to wake up at 6 every morning. I like that with learning online, I can relax more, as well as think more. What I don’t like about online learning is that it can take me up to a whole school day (6-7 hours) to finish assignments.

‘I understand teachers are trying to keep us safe’

Rachel Anjel is a senior at Luther Burbank High School:

My online experience this year is kind of boring because I don’t really get to see friends in school anymore. And I thought it was going to be fun using Chromebooks. Sometimes it can be difficult because sometimes the Wi-Fi doesn’t work or it can be slow. I sometimes feel bored because I can’t spend or hang out with my friends.

A good thing is that we have this app called FaceTime, so whenever I’m bored, I can just call my friends. We talk and play while we do our homework and have fun. But at the same time, I think having an online school is bad because I hate sitting in my room the whole six hrs. I remember saying I like online school, but now it’s getting boring. I think it would be better if we went to school. But I understand teachers are trying to keep us safe.

Thanks to Lyna, Nono, and Rachel for their contributions!

(This is the final post in a multipart series. You can see Part One here and Part Two here .)

The question-of-the-week:

What has your online learning experience been as a student this fall? What is working for you and why? What is not working for you and why?

Consider contributing a question to be answered in a future post. You can send one to me at [email protected] . When you send it in, let me know if I can use your real name if it’s selected or if you’d prefer remaining anonymous and have a pseudonym in mind.

You can also contact me on Twitter at @Larryferlazzo .

Education Week has published a collection of posts from this blog, along with new material, in an e-book form. It’s titled Classroom Management Q&As: Expert Strategies for Teaching .

If you missed any of the highlights from the first eight years of this blog, you can see a categorized list below. The list doesn’t include ones from this current year.

• This Year’s Most Popular Q&A Posts
• Race & Racism in Schools
• School Closures & the Coronavirus Crisis
• Classroom-Management Advice
• Best Ways to Begin the School Year
• Best Ways to End the School Year
• Student Motivation & Social-Emotional Learning
• Implementing the Common Core
• Facing Gender Challenges in Education
• Teaching Social Studies.
• Cooperative & Collaborative Learning
• Using Tech in the Classroom
• Student Voices
• Parent Engagment In Schools
• Teaching English-Language Learners
• Reading Instruction
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• Education Policy Issues
• Differentiating Instruction
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• Author Interviews
• Entering the Teaching Profession
• The Inclusive Classroom
• Learning & the Brain
• Administrator Leadership
• Teacher Leadership
• Relationships in Schools
• Professional Development
• Instructional Strategies
• Best of Classroom Q&A
• Professional Collaboration
• Classroom Organization
• Mistakes in Education
• Project-Based Learning

I am also creating a Twitter list including all contributors to this column

The opinions expressed in Classroom Q&A With Larry Ferlazzo are strictly those of the author(s) and do not reflect the opinions or endorsement of Editorial Projects in Education, or any of its publications.

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Capturing the benefits of remote learning

How education experts are applying lessons learned in the pandemic to promote positive outcomes for all students

Vol. 52 No. 6 Print version: page 46

• Schools and Classrooms
• Technology and Design

With schools open again after more than a year of teaching students outside the classroom, the pandemic sometimes feels like a distant memory. The return to classrooms this fall brings major relief for many families and educators. Factors such as a lack of reliable technology and family support, along with an absence of school resources, resulted in significant academic setbacks, not to mention stress for everyone involved.

But for all the downsides of distance learning, educators, psychologists, and parents have seen some benefits as well. For example, certain populations of students found new ways to be more engaged in learning, without the distractions and difficulties they faced in the classroom, and the general challenges of remote learning and the pandemic brought mental health to the forefront of the classroom experience.

Peter Faustino, PsyD, a school psychologist in Scarsdale, New York, said the pandemic also prompted educators and school psychologists to find creative new ways of ensuring students’ emotional and academic well-being. “So many students were impacted by the pandemic, so we couldn’t just assume they would find resources on their own,” said Faustino. “We had to work hard at figuring out new ways to connect with them.”

Here are some of the benefits of distance learning that school psychologists and educators have observed and the ways in which they’re implementing those lessons post-pandemic, with the goal of creating a more equitable, productive environment for all students.

Prioritizing mental health

Faustino said that during the pandemic, he had more mental health conversations with students, families, and teachers than ever. “Because COVID-19 affected everyone, we’re now having mental health discussions as school leaders on a daily and weekly basis,” he said.

This renewed focus on mental health has the potential to improve students’ well-being in profound ways—starting with helping them recover from the pandemic’s effects. In New York City, for example, schools are hiring more than 600 new clinicians, including psychologists , to screen students’ mental health and help them process pandemic-related trauma and adjust to the “new normal” of attending school in person.

Educators and families are also realizing the importance of protecting students’ mental health more generally—not only for their health and safety but for their learning. “We’ve been seeing a broader appreciation for the fact that mental health is a prerequisite for learning rather than an extracurricular pursuit,” said Eric Rossen, PhD, director of professional development and standards at the National Association of School Psychologists.

As a result, Rossen hopes educators will embed social and emotional learning components into daily instruction. For example, teachers could teach mindfulness techniques in the classroom and take in-the-moment opportunities to help kids resolve conflicts or manage stress.

Improved access to mental health resources in schools is another positive effect. Because of physical distancing guidelines, school leaders had to find ways to deliver mental health services remotely, including via online referrals and teletherapy with school psychologists and counselors.

Early in the pandemic, Faustino said he was hesitant about teletherapy’s effectiveness; now, he hopes to continue offering a virtual option. Online scheduling and remote appointments make it easier for students to access mental health resources, and some students even enjoy virtual appointments more, as they can attend therapy in their own spaces rather than showing up in the counselor’s office. For older students, Faustino said that level of comfort often leads to more productive, open conversations.

Autonomy as a key to motivation

Research suggests that when students have more choices about their materials and activities, they’re more motivated—which may translate to increased learning and academic success. In a 2016 paper, psychology researcher Allan Wigfield, PhD, and colleagues make the case that control and autonomy in reading activities can improve both motivation and comprehension ( Child Development Perspectives , Vol. 10, No. 3 ).

During the period of online teaching, some students had opportunities to learn at their own pace, which educators say improved their learning outcomes—especially in older students. In a 2020 survey of more than 600 parents, researchers found the second-most-valued benefit of distance learning was flexibility—not only in schedule but in method of learning.

In a recent study, researchers found that 18% of parents pointed to greater flexibility in a child’s schedule or way of learning as the biggest benefit or positive outcome related to remote learning ( School Psychology , Roy, A., et al., in press).

This individualized learning helps students find more free time for interests and also allows them to conduct their learning at a time they’re most likely to succeed. During the pandemic, Mark Gardner, an English teacher at Hayes Freedom High School in Camas, Washington, said he realized how important student-centered learning is and that whether learning happens should take precedence over how and when it occurs.

For example, one of his students thrived when he had the choice to do work later at night because he took care of his siblings during the day. Now, Gardner posts homework online on Sundays so students can work at their own pace during the week. “Going forward, we want to create as many access points as we can for kids to engage with learning,” he said.

Rosanna Breaux , PhD, an assistant professor of psychology and assistant director of the Child Study Center at Virginia Tech, agrees. “I’d like to see this flexibility continue in some way, where—similar to college—students can guide their own learning based on their interests or when they’re most productive,” she said.

During the pandemic, many educators were forced to rethink how to keep students engaged. Rossen said because many school districts shared virtual curricula during the period of remote learning, older students could take more challenging or interesting courses than they could in person. The same is true for younger students: Megan Hibbard, a teacher in White Bear Lake, Minnesota, said many of her fifth graders enjoyed distance learning more than in-person because they could work on projects that aligned with their interests.

“So much of motivation is discovering the unique things the student finds interesting,” said Hunter Gehlbach, PhD, a professor and vice dean at the Johns Hopkins School of Education. “The more you can facilitate students spending more time on the things they’re really interested in, the better.”

Going forward, Rossen hopes virtual curricula will allow students greater opportunities to pursue their interests, such as by taking AP classes, foreign languages, or vocational electives not available at their own schools.

Conversely, Hibbard’s goal is to increase opportunities for students to pursue their interests in the in-person setting. For example, she plans to increase what she calls “Genius Hours,” a time at the end of the school day when students can focus on high-interest projects they’ll eventually share with the class.

Better understanding of children's needs

One of the most important predictors of a child’s success in school is parental involvement in their education. For example, in a meta-analysis of studies, researchers linked parental engagement in their middle schoolers’ education with greater measures of success (Hill, N. E., & Tyson, D. F., Developmental Psychology , Vol. 45, No. 3, 2009).

During the pandemic, parents had new opportunities to learn about their kids and, as a result, help them learn. According to a study by Breaux and colleagues, many parents reported that the pandemic allowed them a better understanding of their child’s learning style, needs, or curriculum.

James C. Kaufman , PhD, a professor of educational psychology at the University of Connecticut and the father of an elementary schooler and a high schooler, said he’s had a front-row seat for his sons’ learning for the first time. “Watching my kids learn and engage with classmates has given me some insight in how to parent them,” he said.

Stephen Becker , PhD, a pediatric psychologist at Cincinnati Children’s Hospital Medical Center, said some parents have observed their children’s behavior or learning needs for the first time, which could prompt them to consider assessment and Individualized Education Program (IEP) services. Across the board, Gehlbach said parents are realizing how they can better partner with schools to ensure their kids’ well-being and academic success.

For example, Samantha Marks , PsyD, a Florida-based clinical psychologist, said she realized how much help her middle school daughter, a gifted and talented student with a 504 plan (a plan for how the school will offer support for a student’s disability) for anxiety, needed with independence. “Bringing the learning home made it crystal clear what we needed to teach our daughter to be independent and improve executive functioning” she said. “My takeaway from this is that more parents need to be involved in their children’s education in a healthy, helpful way.”

Marks also gained a deeper understanding of her daughter’s mental health needs. Through her 504 plan, she received help managing her anxiety at school—at home, though, Marks wasn’t always available to help, which taught her the importance of helping her daughter manage her anxiety independently.

Along with parents gaining a deeper understanding of their kids’ needs, the pandemic also prompted greater parent participation in school. For example, Rossen said his kids’ school had virtual school board meetings; he hopes virtual options continue for events like back-to-school information sessions and parenting workshops. “These meetings are often in the evening, and if you’re a single parent or sole caregiver, you may not want to pay a babysitter in order to attend,” he said.

Brittany Greiert, PhD, a school psychologist in Aurora, Colorado, says culturally and linguistically diverse families at her schools benefited from streamlined opportunities to communicate with administrators and teachers. Her district used an app that translates parent communication into 150 languages. Parents can also remotely participate in meetings with school psychologists or teachers, which Greiert says she plans to continue post-pandemic.

Decreased bullying

During stay-at-home orders, kids with neurodevelopmental disorders experienced less bullying than pre-pandemic (McFayden, T. C., et al., Journal of Rural Mental Health , No. 45, Vol. 2, 2021). According to 2019 research, children with emotional, behavioral, and physical health needs experience increased rates of bullying victimization ( Lebrun-Harris, L. A., et al., ), and from the U.S. Department of Education suggests the majority of bullying takes place in person and in unsupervised areas (PDF) .

Scott Graves , PhD, an associate professor of educational studies at The Ohio State University and a member of APA’s Coalition for Psychology in Schools and Education (CPSE), said the supervision by parents and teachers in remote learning likely played a part in reducing bullying. As a result, he’s less worried his Black sons will be victims of microaggressions and racist behavior during online learning.

Some Asian American families also report that remote learning offered protection against racism students may have experienced in person. Shereen Naser, PhD, an associate professor of psychology at Cleveland State University and a member of CPSE, and colleagues found that students are more comfortable saying discriminatory things in school when their teachers are also doing so; Naser suspects this trickle-down effect is less likely to happen when students learn from home ( School Psychology International , 2019).

Reductions in bullying and microaggressions aren’t just beneficial for students’ long-term mental health. Breaux said less bullying at school results in less stress, which can improve students’ self-esteem and mood—both of which impact their ability to learn.

Patricia Perez, PhD, an associate professor of international psychology at The Chicago School of Professional Psychology and a member of CPSE, said it’s important for schools to be proactive in providing spaces for support and cultural expression for students from vulnerable backgrounds, whether in culture-specific clubs, all-school assemblies that address racism and other diversity-related topics, or safe spaces to process feelings with teachers.

According to Rossen, many schools are already considering how to continue supporting students at risk for bullying, including by restructuring the school environment.

One principal, Rossen said, recently switched to single-use bathrooms to avoid congregating in those spaces once in-person learning commences to maintain social distancing requirements. “The principal received feedback from students about how going to the bathroom is much less stressful for these students in part due to less bullying,” he said.

More opportunities for special needs students

In Becker and Breaux’s research, parents of students with attention-deficit/hyperactivity disorder (ADHD), particularly those with a 504 plan and IEP, reported greater difficulties with remote learning. But some students with special learning needs—including those with IEPs and 504 plans—thrived in an at-home learning environment. Recent reporting in The New York Times suggests this is one reason many students want to continue online learning.

According to Cara Laitusis, PhD, a principal research scientist at Educational Testing Service ( ETS ) and a member of CPSE, reduced distractions may improve learning outcomes for some students with disabilities that impact attention in a group setting. “In assessments, small group or individual settings are frequently requested accommodations for some students with ADHD, anxiety, or autism. Being in a quiet place alone without peers for part of the instructional day may also allow for more focus,” she said. However, she also pointed out the benefits of inclusion in the classroom for developing social skills with peers.

Remote learning has improved academic outcomes for students with different learning needs, too. Marks said her seventh-grade daughter, a visual learner, appreciated the increase in video presentations and graphics. Similarly, Hibbard said many of her students who struggle to grasp lessons on the first try have benefited from the ability to watch videos over again until they understand. Post-pandemic, she plans to record bite-size lessons—for example, a 1-minute video of a long division problem—so her students can rewatch and process at their own rate.

Learners with anxiety also appreciate the option not to be in the classroom, because the social pressures of being surrounded by peers can make it hard to focus on academics. “Several of my students have learned more in the last year simply due to the absence of anxiety,” said Rosie Reid, an English teacher at Ygnacio Valley High School in Concord, California, and a 2019 California Teacher of the Year. “It’s just one less thing to negotiate in a learning environment.”

On online learning platforms, it’s easier for kids with social anxiety or shyness to participate. One of Gardner’s students with social anxiety participated far more in virtual settings and chats. Now, Gardner is brainstorming ways to encourage students to chat in person, such as by projecting a chat screen on the blackboard.

Technology has helped school psychologists better engage students, too. For example, Greiert said the virtual setting gave her a new understanding of her students’ personalities and needs. “Typing out their thoughts, they were able to demonstrate humor or complex thoughts they never demonstrated in person,” she said. “I really want to keep incorporating technology into sessions so kids can keep building on their strengths.”

Reid says that along with the high school students she teaches, she’s seen her 6-year-old daughter benefit from learning at her own pace in the familiarity of her home. Before the pandemic, she was behind academically, but by guiding her own learning—writing poems, reading books, playing outside with her siblings—she’s blossomed. “For me, as both a mother and as a teacher, this whole phenomenon has opened the door to what education can be,” Reid said.

Eleanor Di Marino-Linnen, PhD, a psychologist and superintendent of the Rose Tree Media School District in Media, Pennsylvania, says the pandemic afforded her district a chance to rethink old routines and implement new ones. “As challenging as it is, it’s definitely an exciting time to be in education when we have a chance to reenvision what schools have looked like for many years,” she said. “We want to capitalize on what we’ve learned.”

Further reading

Why are some kids thriving during remote learning? Fleming, N., Edutopia, 2020

Remote learning has been a disaster for many students. But some kids have thrived. Gilman, A., The Washington Post , Oct. 3, 2020

A preliminary examination of key strategies, challenges, and benefits of remote learning expressed by parents during the COVID-19 pandemic Roy, A., et al., School Psychology , in press

Remote learning during COVID-19: Examining school practices, service continuation, and difficulties for adolescents with and without attention-deficit/hyperactivity disorder Becker S. P., et al., Journal of Adolescent Health , 2020

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Students’ online learning challenges during the pandemic and how they cope with them: The case of the Philippines

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Recently, the education system has faced an unprecedented health crisis that has shaken up its foundation. Given today’s uncertainties, it is vital to gain a nuanced understanding of students’ online learning experience in times of the COVID-19 pandemic. Although many studies have investigated this area, limited information is available regarding the challenges and the specific strategies that students employ to overcome them. Thus, this study attempts to fill in the void. Using a mixed-methods approach, the findings revealed that the online learning challenges of college students varied in terms of type and extent. Their greatest challenge was linked to their learning environment at home, while their least challenge was technological literacy and competency. The findings further revealed that the COVID-19 pandemic had the greatest impact on the quality of the learning experience and students’ mental health. In terms of strategies employed by students, the most frequently used were resource management and utilization, help-seeking, technical aptitude enhancement, time management, and learning environment control. Implications for classroom practice, policy-making, and future research are discussed.

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1 Introduction

Since the 1990s, the world has seen significant changes in the landscape of education as a result of the ever-expanding influence of technology. One such development is the adoption of online learning across different learning contexts, whether formal or informal, academic and non-academic, and residential or remotely. We began to witness schools, teachers, and students increasingly adopt e-learning technologies that allow teachers to deliver instruction interactively, share resources seamlessly, and facilitate student collaboration and interaction (Elaish et al., 2019 ; Garcia et al., 2018 ). Although the efficacy of online learning has long been acknowledged by the education community (Barrot, 2020 , 2021 ; Cavanaugh et al., 2009 ; Kebritchi et al., 2017 ; Tallent-Runnels et al., 2006 ; Wallace, 2003 ), evidence on the challenges in its implementation continues to build up (e.g., Boelens et al., 2017 ; Rasheed et al., 2020 ).

Recently, the education system has faced an unprecedented health crisis (i.e., COVID-19 pandemic) that has shaken up its foundation. Thus, various governments across the globe have launched a crisis response to mitigate the adverse impact of the pandemic on education. This response includes, but is not limited to, curriculum revisions, provision for technological resources and infrastructure, shifts in the academic calendar, and policies on instructional delivery and assessment. Inevitably, these developments compelled educational institutions to migrate to full online learning until face-to-face instruction is allowed. The current circumstance is unique as it could aggravate the challenges experienced during online learning due to restrictions in movement and health protocols (Gonzales et al., 2020 ; Kapasia et al., 2020 ). Given today’s uncertainties, it is vital to gain a nuanced understanding of students’ online learning experience in times of the COVID-19 pandemic. To date, many studies have investigated this area with a focus on students’ mental health (Copeland et al., 2021 ; Fawaz et al., 2021 ), home learning (Suryaman et al., 2020 ), self-regulation (Carter et al., 2020 ), virtual learning environment (Almaiah et al., 2020 ; Hew et al., 2020 ; Tang et al., 2020 ), and students’ overall learning experience (e.g., Adarkwah, 2021 ; Day et al., 2021 ; Khalil et al., 2020 ; Singh et al., 2020 ). There are two key differences that set the current study apart from the previous studies. First, it sheds light on the direct impact of the pandemic on the challenges that students experience in an online learning space. Second, the current study explores students’ coping strategies in this new learning setup. Addressing these areas would shed light on the extent of challenges that students experience in a full online learning space, particularly within the context of the pandemic. Meanwhile, our nuanced understanding of the strategies that students use to overcome their challenges would provide relevant information to school administrators and teachers to better support the online learning needs of students. This information would also be critical in revisiting the typology of strategies in an online learning environment.

2 Literature review

2.1 education and the covid-19 pandemic.

In December 2019, an outbreak of a novel coronavirus, known as COVID-19, occurred in China and has spread rapidly across the globe within a few months. COVID-19 is an infectious disease caused by a new strain of coronavirus that attacks the respiratory system (World Health Organization, 2020 ). As of January 2021, COVID-19 has infected 94 million people and has caused 2 million deaths in 191 countries and territories (John Hopkins University, 2021 ). This pandemic has created a massive disruption of the educational systems, affecting over 1.5 billion students. It has forced the government to cancel national examinations and the schools to temporarily close, cease face-to-face instruction, and strictly observe physical distancing. These events have sparked the digital transformation of higher education and challenged its ability to respond promptly and effectively. Schools adopted relevant technologies, prepared learning and staff resources, set systems and infrastructure, established new teaching protocols, and adjusted their curricula. However, the transition was smooth for some schools but rough for others, particularly those from developing countries with limited infrastructure (Pham & Nguyen, 2020 ; Simbulan, 2020 ).

Inevitably, schools and other learning spaces were forced to migrate to full online learning as the world continues the battle to control the vicious spread of the virus. Online learning refers to a learning environment that uses the Internet and other technological devices and tools for synchronous and asynchronous instructional delivery and management of academic programs (Usher & Barak, 2020 ; Huang, 2019 ). Synchronous online learning involves real-time interactions between the teacher and the students, while asynchronous online learning occurs without a strict schedule for different students (Singh & Thurman, 2019 ). Within the context of the COVID-19 pandemic, online learning has taken the status of interim remote teaching that serves as a response to an exigency. However, the migration to a new learning space has faced several major concerns relating to policy, pedagogy, logistics, socioeconomic factors, technology, and psychosocial factors (Donitsa-Schmidt & Ramot, 2020 ; Khalil et al., 2020 ; Varea & González-Calvo, 2020 ). With reference to policies, government education agencies and schools scrambled to create fool-proof policies on governance structure, teacher management, and student management. Teachers, who were used to conventional teaching delivery, were also obliged to embrace technology despite their lack of technological literacy. To address this problem, online learning webinars and peer support systems were launched. On the part of the students, dropout rates increased due to economic, psychological, and academic reasons. Academically, although it is virtually possible for students to learn anything online, learning may perhaps be less than optimal, especially in courses that require face-to-face contact and direct interactions (Franchi, 2020 ).

2.2 Related studies

Recently, there has been an explosion of studies relating to the new normal in education. While many focused on national policies, professional development, and curriculum, others zeroed in on the specific learning experience of students during the pandemic. Among these are Copeland et al. ( 2021 ) and Fawaz et al. ( 2021 ) who examined the impact of COVID-19 on college students’ mental health and their coping mechanisms. Copeland et al. ( 2021 ) reported that the pandemic adversely affected students’ behavioral and emotional functioning, particularly attention and externalizing problems (i.e., mood and wellness behavior), which were caused by isolation, economic/health effects, and uncertainties. In Fawaz et al.’s ( 2021 ) study, students raised their concerns on learning and evaluation methods, overwhelming task load, technical difficulties, and confinement. To cope with these problems, students actively dealt with the situation by seeking help from their teachers and relatives and engaging in recreational activities. These active-oriented coping mechanisms of students were aligned with Carter et al.’s ( 2020 ), who explored students’ self-regulation strategies.

In another study, Tang et al. ( 2020 ) examined the efficacy of different online teaching modes among engineering students. Using a questionnaire, the results revealed that students were dissatisfied with online learning in general, particularly in the aspect of communication and question-and-answer modes. Nonetheless, the combined model of online teaching with flipped classrooms improved students’ attention, academic performance, and course evaluation. A parallel study was undertaken by Hew et al. ( 2020 ), who transformed conventional flipped classrooms into fully online flipped classes through a cloud-based video conferencing app. Their findings suggested that these two types of learning environments were equally effective. They also offered ways on how to effectively adopt videoconferencing-assisted online flipped classrooms. Unlike the two studies, Suryaman et al. ( 2020 ) looked into how learning occurred at home during the pandemic. Their findings showed that students faced many obstacles in a home learning environment, such as lack of mastery of technology, high Internet cost, and limited interaction/socialization between and among students. In a related study, Kapasia et al. ( 2020 ) investigated how lockdown impacts students’ learning performance. Their findings revealed that the lockdown made significant disruptions in students’ learning experience. The students also reported some challenges that they faced during their online classes. These include anxiety, depression, poor Internet service, and unfavorable home learning environment, which were aggravated when students are marginalized and from remote areas. Contrary to Kapasia et al.’s ( 2020 ) findings, Gonzales et al. ( 2020 ) found that confinement of students during the pandemic had significant positive effects on their performance. They attributed these results to students’ continuous use of learning strategies which, in turn, improved their learning efficiency.

Finally, there are those that focused on students’ overall online learning experience during the COVID-19 pandemic. One such study was that of Singh et al. ( 2020 ), who examined students’ experience during the COVID-19 pandemic using a quantitative descriptive approach. Their findings indicated that students appreciated the use of online learning during the pandemic. However, half of them believed that the traditional classroom setting was more effective than the online learning platform. Methodologically, the researchers acknowledge that the quantitative nature of their study restricts a deeper interpretation of the findings. Unlike the above study, Khalil et al. ( 2020 ) qualitatively explored the efficacy of synchronized online learning in a medical school in Saudi Arabia. The results indicated that students generally perceive synchronous online learning positively, particularly in terms of time management and efficacy. However, they also reported technical (internet connectivity and poor utility of tools), methodological (content delivery), and behavioral (individual personality) challenges. Their findings also highlighted the failure of the online learning environment to address the needs of courses that require hands-on practice despite efforts to adopt virtual laboratories. In a parallel study, Adarkwah ( 2021 ) examined students’ online learning experience during the pandemic using a narrative inquiry approach. The findings indicated that Ghanaian students considered online learning as ineffective due to several challenges that they encountered. Among these were lack of social interaction among students, poor communication, lack of ICT resources, and poor learning outcomes. More recently, Day et al. ( 2021 ) examined the immediate impact of COVID-19 on students’ learning experience. Evidence from six institutions across three countries revealed some positive experiences and pre-existing inequities. Among the reported challenges are lack of appropriate devices, poor learning space at home, stress among students, and lack of fieldwork and access to laboratories.

Although there are few studies that report the online learning challenges that higher education students experience during the pandemic, limited information is available regarding the specific strategies that they use to overcome them. It is in this context that the current study was undertaken. This mixed-methods study investigates students’ online learning experience in higher education. Specifically, the following research questions are addressed: (1) What is the extent of challenges that students experience in an online learning environment? (2) How did the COVID-19 pandemic impact the online learning challenges that students experience? (3) What strategies did students use to overcome the challenges?

2.3 Conceptual framework

The typology of challenges examined in this study is largely based on Rasheed et al.’s ( 2020 ) review of students’ experience in an online learning environment. These challenges are grouped into five general clusters, namely self-regulation (SRC), technological literacy and competency (TLCC), student isolation (SIC), technological sufficiency (TSC), and technological complexity (TCC) challenges (Rasheed et al., 2020 , p. 5). SRC refers to a set of behavior by which students exercise control over their emotions, actions, and thoughts to achieve learning objectives. TLCC relates to a set of challenges about students’ ability to effectively use technology for learning purposes. SIC relates to the emotional discomfort that students experience as a result of being lonely and secluded from their peers. TSC refers to a set of challenges that students experience when accessing available online technologies for learning. Finally, there is TCC which involves challenges that students experience when exposed to complex and over-sufficient technologies for online learning.

To extend Rasheed et al. ( 2020 ) categories and to cover other potential challenges during online classes, two more clusters were added, namely learning resource challenges (LRC) and learning environment challenges (LEC) (Buehler, 2004 ; Recker et al., 2004 ; Seplaki et al., 2014 ; Xue et al., 2020 ). LRC refers to a set of challenges that students face relating to their use of library resources and instructional materials, whereas LEC is a set of challenges that students experience related to the condition of their learning space that shapes their learning experiences, beliefs, and attitudes. Since learning environment at home and learning resources available to students has been reported to significantly impact the quality of learning and their achievement of learning outcomes (Drane et al., 2020 ; Suryaman et al., 2020 ), the inclusion of LRC and LEC would allow us to capture other important challenges that students experience during the pandemic, particularly those from developing regions. This comprehensive list would provide us a clearer and detailed picture of students’ experiences when engaged in online learning in an emergency. Given the restrictions in mobility at macro and micro levels during the pandemic, it is also expected that such conditions would aggravate these challenges. Therefore, this paper intends to understand these challenges from students’ perspectives since they are the ones that are ultimately impacted when the issue is about the learning experience. We also seek to explore areas that provide inconclusive findings, thereby setting the path for future research.

3 Material and methods

The present study adopted a descriptive, mixed-methods approach to address the research questions. This approach allowed the researchers to collect complex data about students’ experience in an online learning environment and to clearly understand the phenomena from their perspective.

3.1 Participants

This study involved 200 (66 male and 134 female) students from a private higher education institution in the Philippines. These participants were Psychology, Physical Education, and Sports Management majors whose ages ranged from 17 to 25 ( x̅  = 19.81; SD  = 1.80). The students have been engaged in online learning for at least two terms in both synchronous and asynchronous modes. The students belonged to low- and middle-income groups but were equipped with the basic online learning equipment (e.g., computer, headset, speakers) and computer skills necessary for their participation in online classes. Table 1 shows the primary and secondary platforms that students used during their online classes. The primary platforms are those that are formally adopted by teachers and students in a structured academic context, whereas the secondary platforms are those that are informally and spontaneously used by students and teachers for informal learning and to supplement instructional delivery. Note that almost all students identified MS Teams as their primary platform because it is the official learning management system of the university.

Informed consent was sought from the participants prior to their involvement. Before students signed the informed consent form, they were oriented about the objectives of the study and the extent of their involvement. They were also briefed about the confidentiality of information, their anonymity, and their right to refuse to participate in the investigation. Finally, the participants were informed that they would incur no additional cost from their participation.

3.2 Instrument and data collection

The data were collected using a retrospective self-report questionnaire and a focused group discussion (FGD). A self-report questionnaire was considered appropriate because the indicators relate to affective responses and attitude (Araujo et al., 2017 ; Barrot, 2016 ; Spector, 1994 ). Although the participants may tell more than what they know or do in a self-report survey (Matsumoto, 1994 ), this challenge was addressed by explaining to them in detail each of the indicators and using methodological triangulation through FGD. The questionnaire was divided into four sections: (1) participant’s personal information section, (2) the background information on the online learning environment, (3) the rating scale section for the online learning challenges, (4) the open-ended section. The personal information section asked about the students’ personal information (name, school, course, age, and sex), while the background information section explored the online learning mode and platforms (primary and secondary) used in class, and students’ length of engagement in online classes. The rating scale section contained 37 items that relate to SRC (6 items), TLCC (10 items), SIC (4 items), TSC (6 items), TCC (3 items), LRC (4 items), and LEC (4 items). The Likert scale uses six scores (i.e., 5– to a very great extent , 4– to a great extent , 3– to a moderate extent , 2– to some extent , 1– to a small extent , and 0 –not at all/negligible ) assigned to each of the 37 items. Finally, the open-ended questions asked about other challenges that students experienced, the impact of the pandemic on the intensity or extent of the challenges they experienced, and the strategies that the participants employed to overcome the eight different types of challenges during online learning. Two experienced educators and researchers reviewed the questionnaire for clarity, accuracy, and content and face validity. The piloting of the instrument revealed that the tool had good internal consistency (Cronbach’s α = 0.96).

The FGD protocol contains two major sections: the participants’ background information and the main questions. The background information section asked about the students’ names, age, courses being taken, online learning mode used in class. The items in the main questions section covered questions relating to the students’ overall attitude toward online learning during the pandemic, the reasons for the scores they assigned to each of the challenges they experienced, the impact of the pandemic on students’ challenges, and the strategies they employed to address the challenges. The same experts identified above validated the FGD protocol.

Both the questionnaire and the FGD were conducted online via Google survey and MS Teams, respectively. It took approximately 20 min to complete the questionnaire, while the FGD lasted for about 90 min. Students were allowed to ask for clarification and additional explanations relating to the questionnaire content, FGD, and procedure. Online surveys and interview were used because of the ongoing lockdown in the city. For the purpose of triangulation, 20 (10 from Psychology and 10 from Physical Education and Sports Management) randomly selected students were invited to participate in the FGD. Two separate FGDs were scheduled for each group and were facilitated by researcher 2 and researcher 3, respectively. The interviewers ensured that the participants were comfortable and open to talk freely during the FGD to avoid social desirability biases (Bergen & Labonté, 2020 ). These were done by informing the participants that there are no wrong responses and that their identity and responses would be handled with the utmost confidentiality. With the permission of the participants, the FGD was recorded to ensure that all relevant information was accurately captured for transcription and analysis.

3.3 Data analysis

To address the research questions, we used both quantitative and qualitative analyses. For the quantitative analysis, we entered all the data into an excel spreadsheet. Then, we computed the mean scores ( M ) and standard deviations ( SD ) to determine the level of challenges experienced by students during online learning. The mean score for each descriptor was interpreted using the following scheme: 4.18 to 5.00 ( to a very great extent ), 3.34 to 4.17 ( to a great extent ), 2.51 to 3.33 ( to a moderate extent ), 1.68 to 2.50 ( to some extent ), 0.84 to 1.67 ( to a small extent ), and 0 to 0.83 ( not at all/negligible ). The equal interval was adopted because it produces more reliable and valid information than other types of scales (Cicchetti et al., 2006 ).

For the qualitative data, we analyzed the students’ responses in the open-ended questions and the transcribed FGD using the predetermined categories in the conceptual framework. Specifically, we used multilevel coding in classifying the codes from the transcripts (Birks & Mills, 2011 ). To do this, we identified the relevant codes from the responses of the participants and categorized these codes based on the similarities or relatedness of their properties and dimensions. Then, we performed a constant comparative and progressive analysis of cases to allow the initially identified subcategories to emerge and take shape. To ensure the reliability of the analysis, two coders independently analyzed the qualitative data. Both coders familiarize themselves with the purpose, research questions, research method, and codes and coding scheme of the study. They also had a calibration session and discussed ways on how they could consistently analyze the qualitative data. Percent of agreement between the two coders was 86 percent. Any disagreements in the analysis were discussed by the coders until an agreement was achieved.

This study investigated students’ online learning experience in higher education within the context of the pandemic. Specifically, we identified the extent of challenges that students experienced, how the COVID-19 pandemic impacted their online learning experience, and the strategies that they used to confront these challenges.

4.1 The extent of students’ online learning challenges

Table 2 presents the mean scores and SD for the extent of challenges that students’ experienced during online learning. Overall, the students experienced the identified challenges to a moderate extent ( x̅  = 2.62, SD  = 1.03) with scores ranging from x̅  = 1.72 ( to some extent ) to x̅  = 3.58 ( to a great extent ). More specifically, the greatest challenge that students experienced was related to the learning environment ( x̅  = 3.49, SD  = 1.27), particularly on distractions at home, limitations in completing the requirements for certain subjects, and difficulties in selecting the learning areas and study schedule. It is, however, found that the least challenge was on technological literacy and competency ( x̅  = 2.10, SD  = 1.13), particularly on knowledge and training in the use of technology, technological intimidation, and resistance to learning technologies. Other areas that students experienced the least challenge are Internet access under TSC and procrastination under SRC. Nonetheless, nearly half of the students’ responses per indicator rated the challenges they experienced as moderate (14 of the 37 indicators), particularly in TCC ( x̅  = 2.51, SD  = 1.31), SIC ( x̅  = 2.77, SD  = 1.34), and LRC ( x̅  = 2.93, SD  = 1.31).

Out of 200 students, 181 responded to the question about other challenges that they experienced. Most of their responses were already covered by the seven predetermined categories, except for 18 responses related to physical discomfort ( N  = 5) and financial challenges ( N  = 13). For instance, S108 commented that “when it comes to eyes and head, my eyes and head get ache if the session of class was 3 h straight in front of my gadget.” In the same vein, S194 reported that “the long exposure to gadgets especially laptop, resulting in body pain & headaches.” With reference to physical financial challenges, S66 noted that “not all the time I have money to load”, while S121 claimed that “I don't know until when are we going to afford budgeting our money instead of buying essentials.”

4.2 Impact of the pandemic on students’ online learning challenges

Another objective of this study was to identify how COVID-19 influenced the online learning challenges that students experienced. As shown in Table 3 , most of the students’ responses were related to teaching and learning quality ( N  = 86) and anxiety and other mental health issues ( N  = 52). Regarding the adverse impact on teaching and learning quality, most of the comments relate to the lack of preparation for the transition to online platforms (e.g., S23, S64), limited infrastructure (e.g., S13, S65, S99, S117), and poor Internet service (e.g., S3, S9, S17, S41, S65, S99). For the anxiety and mental health issues, most students reported that the anxiety, boredom, sadness, and isolation they experienced had adversely impacted the way they learn (e.g., S11, S130), completing their tasks/activities (e.g., S56, S156), and their motivation to continue studying (e.g., S122, S192). The data also reveal that COVID-19 aggravated the financial difficulties experienced by some students ( N  = 16), consequently affecting their online learning experience. This financial impact mainly revolved around the lack of funding for their online classes as a result of their parents’ unemployment and the high cost of Internet data (e.g., S18, S113, S167). Meanwhile, few concerns were raised in relation to COVID-19’s impact on mobility ( N  = 7) and face-to-face interactions ( N  = 7). For instance, some commented that the lack of face-to-face interaction with her classmates had a detrimental effect on her learning (S46) and socialization skills (S36), while others reported that restrictions in mobility limited their learning experience (S78, S110). Very few comments were related to no effect ( N  = 4) and positive effect ( N  = 2). The above findings suggest the pandemic had additive adverse effects on students’ online learning experience.

4.3 Students’ strategies to overcome challenges in an online learning environment

The third objective of this study is to identify the strategies that students employed to overcome the different online learning challenges they experienced. Table 4 presents that the most commonly used strategies used by students were resource management and utilization ( N  = 181), help-seeking ( N  = 155), technical aptitude enhancement ( N  = 122), time management ( N  = 98), and learning environment control ( N  = 73). Not surprisingly, the top two strategies were also the most consistently used across different challenges. However, looking closely at each of the seven challenges, the frequency of using a particular strategy varies. For TSC and LRC, the most frequently used strategy was resource management and utilization ( N  = 52, N  = 89, respectively), whereas technical aptitude enhancement was the students’ most preferred strategy to address TLCC ( N  = 77) and TCC ( N  = 38). In the case of SRC, SIC, and LEC, the most frequently employed strategies were time management ( N  = 71), psychological support ( N  = 53), and learning environment control ( N  = 60). In terms of consistency, help-seeking appears to be the most consistent across the different challenges in an online learning environment. Table 4 further reveals that strategies used by students within a specific type of challenge vary.

5 Discussion and conclusions

The current study explores the challenges that students experienced in an online learning environment and how the pandemic impacted their online learning experience. The findings revealed that the online learning challenges of students varied in terms of type and extent. Their greatest challenge was linked to their learning environment at home, while their least challenge was technological literacy and competency. Based on the students’ responses, their challenges were also found to be aggravated by the pandemic, especially in terms of quality of learning experience, mental health, finances, interaction, and mobility. With reference to previous studies (i.e., Adarkwah, 2021 ; Copeland et al., 2021 ; Day et al., 2021 ; Fawaz et al., 2021 ; Kapasia et al., 2020 ; Khalil et al., 2020 ; Singh et al., 2020 ), the current study has complemented their findings on the pedagogical, logistical, socioeconomic, technological, and psychosocial online learning challenges that students experience within the context of the COVID-19 pandemic. Further, this study extended previous studies and our understanding of students’ online learning experience by identifying both the presence and extent of online learning challenges and by shedding light on the specific strategies they employed to overcome them.

Overall findings indicate that the extent of challenges and strategies varied from one student to another. Hence, they should be viewed as a consequence of interaction several many factors. Students’ responses suggest that their online learning challenges and strategies were mediated by the resources available to them, their interaction with their teachers and peers, and the school’s existing policies and guidelines for online learning. In the context of the pandemic, the imposed lockdowns and students’ socioeconomic condition aggravated the challenges that students experience.

While most studies revealed that technology use and competency were the most common challenges that students face during the online classes (see Rasheed et al., 2020 ), the case is a bit different in developing countries in times of pandemic. As the findings have shown, the learning environment is the greatest challenge that students needed to hurdle, particularly distractions at home (e.g., noise) and limitations in learning space and facilities. This data suggests that online learning challenges during the pandemic somehow vary from the typical challenges that students experience in a pre-pandemic online learning environment. One possible explanation for this result is that restriction in mobility may have aggravated this challenge since they could not go to the school or other learning spaces beyond the vicinity of their respective houses. As shown in the data, the imposition of lockdown restricted students’ learning experience (e.g., internship and laboratory experiments), limited their interaction with peers and teachers, caused depression, stress, and anxiety among students, and depleted the financial resources of those who belong to lower-income group. All of these adversely impacted students’ learning experience. This finding complemented earlier reports on the adverse impact of lockdown on students’ learning experience and the challenges posed by the home learning environment (e.g., Day et al., 2021 ; Kapasia et al., 2020 ). Nonetheless, further studies are required to validate the impact of restrictions on mobility on students’ online learning experience. The second reason that may explain the findings relates to students’ socioeconomic profile. Consistent with the findings of Adarkwah ( 2021 ) and Day et al. ( 2021 ), the current study reveals that the pandemic somehow exposed the many inequities in the educational systems within and across countries. In the case of a developing country, families from lower socioeconomic strata (as in the case of the students in this study) have limited learning space at home, access to quality Internet service, and online learning resources. This is the reason the learning environment and learning resources recorded the highest level of challenges. The socioeconomic profile of the students (i.e., low and middle-income group) is the same reason financial problems frequently surfaced from their responses. These students frequently linked the lack of financial resources to their access to the Internet, educational materials, and equipment necessary for online learning. Therefore, caution should be made when interpreting and extending the findings of this study to other contexts, particularly those from higher socioeconomic strata.

Among all the different online learning challenges, the students experienced the least challenge on technological literacy and competency. This is not surprising considering a plethora of research confirming Gen Z students’ (born since 1996) high technological and digital literacy (Barrot, 2018 ; Ng, 2012 ; Roblek et al., 2019 ). Regarding the impact of COVID-19 on students’ online learning experience, the findings reveal that teaching and learning quality and students’ mental health were the most affected. The anxiety that students experienced does not only come from the threats of COVID-19 itself but also from social and physical restrictions, unfamiliarity with new learning platforms, technical issues, and concerns about financial resources. These findings are consistent with that of Copeland et al. ( 2021 ) and Fawaz et al. ( 2021 ), who reported the adverse effects of the pandemic on students’ mental and emotional well-being. This data highlights the need to provide serious attention to the mediating effects of mental health, restrictions in mobility, and preparedness in delivering online learning.

Nonetheless, students employed a variety of strategies to overcome the challenges they faced during online learning. For instance, to address the home learning environment problems, students talked to their family (e.g., S12, S24), transferred to a quieter place (e.g., S7, S 26), studied at late night where all family members are sleeping already (e.g., S51), and consulted with their classmates and teachers (e.g., S3, S9, S156, S193). To overcome the challenges in learning resources, students used the Internet (e.g., S20, S27, S54, S91), joined Facebook groups that share free resources (e.g., S5), asked help from family members (e.g., S16), used resources available at home (e.g., S32), and consulted with the teachers (e.g., S124). The varying strategies of students confirmed earlier reports on the active orientation that students take when faced with academic- and non-academic-related issues in an online learning space (see Fawaz et al., 2021 ). The specific strategies that each student adopted may have been shaped by different factors surrounding him/her, such as available resources, student personality, family structure, relationship with peers and teacher, and aptitude. To expand this study, researchers may further investigate this area and explore how and why different factors shape their use of certain strategies.

Several implications can be drawn from the findings of this study. First, this study highlighted the importance of emergency response capability and readiness of higher education institutions in case another crisis strikes again. Critical areas that need utmost attention include (but not limited to) national and institutional policies, protocol and guidelines, technological infrastructure and resources, instructional delivery, staff development, potential inequalities, and collaboration among key stakeholders (i.e., parents, students, teachers, school leaders, industry, government education agencies, and community). Second, the findings have expanded our understanding of the different challenges that students might confront when we abruptly shift to full online learning, particularly those from countries with limited resources, poor Internet infrastructure, and poor home learning environment. Schools with a similar learning context could use the findings of this study in developing and enhancing their respective learning continuity plans to mitigate the adverse impact of the pandemic. This study would also provide students relevant information needed to reflect on the possible strategies that they may employ to overcome the challenges. These are critical information necessary for effective policymaking, decision-making, and future implementation of online learning. Third, teachers may find the results useful in providing proper interventions to address the reported challenges, particularly in the most critical areas. Finally, the findings provided us a nuanced understanding of the interdependence of learning tools, learners, and learning outcomes within an online learning environment; thus, giving us a multiperspective of hows and whys of a successful migration to full online learning.

Some limitations in this study need to be acknowledged and addressed in future studies. One limitation of this study is that it exclusively focused on students’ perspectives. Future studies may widen the sample by including all other actors taking part in the teaching–learning process. Researchers may go deeper by investigating teachers’ views and experience to have a complete view of the situation and how different elements interact between them or affect the others. Future studies may also identify some teacher-related factors that could influence students’ online learning experience. In the case of students, their age, sex, and degree programs may be examined in relation to the specific challenges and strategies they experience. Although the study involved a relatively large sample size, the participants were limited to college students from a Philippine university. To increase the robustness of the findings, future studies may expand the learning context to K-12 and several higher education institutions from different geographical regions. As a final note, this pandemic has undoubtedly reshaped and pushed the education system to its limits. However, this unprecedented event is the same thing that will make the education system stronger and survive future threats.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Adarkwah, M. A. (2021). “I’m not against online teaching, but what about us?”: ICT in Ghana post Covid-19. Education and Information Technologies, 26 (2), 1665–1685.

Article   Google Scholar  

Almaiah, M. A., Al-Khasawneh, A., & Althunibat, A. (2020). Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic. Education and Information Technologies, 25 , 5261–5280.

Araujo, T., Wonneberger, A., Neijens, P., & de Vreese, C. (2017). How much time do you spend online? Understanding and improving the accuracy of self-reported measures of Internet use. Communication Methods and Measures, 11 (3), 173–190.

Barrot, J. S. (2016). Using Facebook-based e-portfolio in ESL writing classrooms: Impact and challenges. Language, Culture and Curriculum, 29 (3), 286–301.

Barrot, J. S. (2018). Facebook as a learning environment for language teaching and learning: A critical analysis of the literature from 2010 to 2017. Journal of Computer Assisted Learning, 34 (6), 863–875.

Barrot, J. S. (2020). Scientific mapping of social media in education: A decade of exponential growth. Journal of Educational Computing Research .  https://doi.org/10.1177/0735633120972010 .

Barrot, J. S. (2021). Social media as a language learning environment: A systematic review of the literature (2008–2019). Computer Assisted Language Learning . https://doi.org/10.1080/09588221.2021.1883673 .

Bergen, N., & Labonté, R. (2020). “Everything is perfect, and we have no problems”: Detecting and limiting social desirability bias in qualitative research. Qualitative Health Research, 30 (5), 783–792.

Birks, M., & Mills, J. (2011). Grounded theory: A practical guide . Sage.

Boelens, R., De Wever, B., & Voet, M. (2017). Four key challenges to the design of blended learning: A systematic literature review. Educational Research Review, 22 , 1–18.

Buehler, M. A. (2004). Where is the library in course management software? Journal of Library Administration, 41 (1–2), 75–84.

Carter, R. A., Jr., Rice, M., Yang, S., & Jackson, H. A. (2020). Self-regulated learning in online learning environments: Strategies for remote learning. Information and Learning Sciences, 121 (5/6), 321–329.

Cavanaugh, C. S., Barbour, M. K., & Clark, T. (2009). Research and practice in K-12 online learning: A review of open access literature. The International Review of Research in Open and Distributed Learning, 10 (1), 1–22.

Cicchetti, D., Bronen, R., Spencer, S., Haut, S., Berg, A., Oliver, P., & Tyrer, P. (2006). Rating scales, scales of measurement, issues of reliability: Resolving some critical issues for clinicians and researchers. The Journal of Nervous and Mental Disease, 194 (8), 557–564.

Copeland, W. E., McGinnis, E., Bai, Y., Adams, Z., Nardone, H., Devadanam, V., & Hudziak, J. J. (2021). Impact of COVID-19 pandemic on college student mental health and wellness. Journal of the American Academy of Child & Adolescent Psychiatry, 60 (1), 134–141.

Day, T., Chang, I. C. C., Chung, C. K. L., Doolittle, W. E., Housel, J., & McDaniel, P. N. (2021). The immediate impact of COVID-19 on postsecondary teaching and learning. The Professional Geographer, 73 (1), 1–13.

Donitsa-Schmidt, S., & Ramot, R. (2020). Opportunities and challenges: Teacher education in Israel in the Covid-19 pandemic. Journal of Education for Teaching, 46 (4), 586–595.

Drane, C., Vernon, L., & O’Shea, S. (2020). The impact of ‘learning at home’on the educational outcomes of vulnerable children in Australia during the COVID-19 pandemic. Literature Review Prepared by the National Centre for Student Equity in Higher Education. Curtin University, Australia.

Elaish, M., Shuib, L., Ghani, N., & Yadegaridehkordi, E. (2019). Mobile English language learning (MELL): A literature review. Educational Review, 71 (2), 257–276.

Fawaz, M., Al Nakhal, M., & Itani, M. (2021). COVID-19 quarantine stressors and management among Lebanese students: A qualitative study.  Current Psychology , 1–8.

Franchi, T. (2020). The impact of the Covid-19 pandemic on current anatomy education and future careers: A student’s perspective. Anatomical Sciences Education, 13 (3), 312–315.

Garcia, R., Falkner, K., & Vivian, R. (2018). Systematic literature review: Self-regulated learning strategies using e-learning tools for computer science. Computers & Education, 123 , 150–163.

Gonzalez, T., De La Rubia, M. A., Hincz, K. P., Comas-Lopez, M., Subirats, L., Fort, S., & Sacha, G. M. (2020). Influence of COVID-19 confinement on students’ performance in higher education. PLoS One, 15 (10), e0239490.

Hew, K. F., Jia, C., Gonda, D. E., & Bai, S. (2020). Transitioning to the “new normal” of learning in unpredictable times: Pedagogical practices and learning performance in fully online flipped classrooms. International Journal of Educational Technology in Higher Education, 17 (1), 1–22.

Huang, Q. (2019). Comparing teacher’s roles of F2F learning and online learning in a blended English course. Computer Assisted Language Learning, 32 (3), 190–209.

John Hopkins University. (2021). Global map . https://coronavirus.jhu.edu/

Kapasia, N., Paul, P., Roy, A., Saha, J., Zaveri, A., Mallick, R., & Chouhan, P. (2020). Impact of lockdown on learning status of undergraduate and postgraduate students during COVID-19 pandemic in West Bengal. India . Children and Youth Services Review, 116 , 105194.

Kebritchi, M., Lipschuetz, A., & Santiague, L. (2017). Issues and challenges for teaching successful online courses in higher education: A literature review. Journal of Educational Technology Systems, 46 (1), 4–29.

Khalil, R., Mansour, A. E., Fadda, W. A., Almisnid, K., Aldamegh, M., Al-Nafeesah, A., & Al-Wutayd, O. (2020). The sudden transition to synchronized online learning during the COVID-19 pandemic in Saudi Arabia: A qualitative study exploring medical students’ perspectives. BMC Medical Education, 20 (1), 1–10.

Matsumoto, K. (1994). Introspection, verbal reports and second language learning strategy research. Canadian Modern Language Review, 50 (2), 363–386.

Ng, W. (2012). Can we teach digital natives digital literacy? Computers & Education, 59 (3), 1065–1078.

Pham, T., & Nguyen, H. (2020). COVID-19: Challenges and opportunities for Vietnamese higher education. Higher Education in Southeast Asia and beyond, 8 , 22–24.

Google Scholar  

Rasheed, R. A., Kamsin, A., & Abdullah, N. A. (2020). Challenges in the online component of blended learning: A systematic review. Computers & Education, 144 , 103701.

Recker, M. M., Dorward, J., & Nelson, L. M. (2004). Discovery and use of online learning resources: Case study findings. Educational Technology & Society, 7 (2), 93–104.

Roblek, V., Mesko, M., Dimovski, V., & Peterlin, J. (2019). Smart technologies as social innovation and complex social issues of the Z generation. Kybernetes, 48 (1), 91–107.

Seplaki, C. L., Agree, E. M., Weiss, C. O., Szanton, S. L., Bandeen-Roche, K., & Fried, L. P. (2014). Assistive devices in context: Cross-sectional association between challenges in the home environment and use of assistive devices for mobility. The Gerontologist, 54 (4), 651–660.

Simbulan, N. (2020). COVID-19 and its impact on higher education in the Philippines. Higher Education in Southeast Asia and beyond, 8 , 15–18.

Singh, K., Srivastav, S., Bhardwaj, A., Dixit, A., & Misra, S. (2020). Medical education during the COVID-19 pandemic: a single institution experience. Indian Pediatrics, 57 (7), 678–679.

Singh, V., & Thurman, A. (2019). How many ways can we define online learning? A systematic literature review of definitions of online learning (1988–2018). American Journal of Distance Education, 33 (4), 289–306.

Spector, P. (1994). Using self-report questionnaires in OB research: A comment on the use of a controversial method. Journal of Organizational Behavior, 15 (5), 385–392.

Suryaman, M., Cahyono, Y., Muliansyah, D., Bustani, O., Suryani, P., Fahlevi, M., & Munthe, A. P. (2020). COVID-19 pandemic and home online learning system: Does it affect the quality of pharmacy school learning? Systematic Reviews in Pharmacy, 11 , 524–530.

Tallent-Runnels, M. K., Thomas, J. A., Lan, W. Y., Cooper, S., Ahern, T. C., Shaw, S. M., & Liu, X. (2006). Teaching courses online: A review of the research. Review of Educational Research, 76 (1), 93–135.

Tang, T., Abuhmaid, A. M., Olaimat, M., Oudat, D. M., Aldhaeebi, M., & Bamanger, E. (2020). Efficiency of flipped classroom with online-based teaching under COVID-19.  Interactive Learning Environments , 1–12.

Usher, M., & Barak, M. (2020). Team diversity as a predictor of innovation in team projects of face-to-face and online learners. Computers & Education, 144 , 103702.

Varea, V., & González-Calvo, G. (2020). Touchless classes and absent bodies: Teaching physical education in times of Covid-19.  Sport, Education and Society , 1–15.

Wallace, R. M. (2003). Online learning in higher education: A review of research on interactions among teachers and students. Education, Communication & Information, 3 (2), 241–280.

World Health Organization (2020). Coronavirus . https://www.who.int/health-topics/coronavirus#tab=tab_1

Xue, E., Li, J., Li, T., & Shang, W. (2020). China’s education response to COVID-19: A perspective of policy analysis.  Educational Philosophy and Theory , 1–13.

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Jessie S. Barrot, Ian I. Llenares & Leo S. del Rosario

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Jessie Barrot led the planning, prepared the instrument, wrote the report, and processed and analyzed data. Ian Llenares participated in the planning, fielded the instrument, processed and analyzed data, reviewed the instrument, and contributed to report writing. Leo del Rosario participated in the planning, fielded the instrument, processed and analyzed data, reviewed the instrument, and contributed to report writing.

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Barrot, J.S., Llenares, I.I. & del Rosario, L.S. Students’ online learning challenges during the pandemic and how they cope with them: The case of the Philippines. Educ Inf Technol 26 , 7321–7338 (2021). https://doi.org/10.1007/s10639-021-10589-x

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DOI : https://doi.org/10.1007/s10639-021-10589-x

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Online learning and my experience during lockdown

I’m sure no one could have imagined that the academic year would have ended this way. The disruptions from the global pandemic have brought about a new normal in more ways than one. Online learning at university is most definitely one of them and although it comes with its own concerns and challenges, it could be something we see more often in the near future.

When campus was closed, many classes and lectures made the shift online fairly quickly and this included revision sessions with lecturers on Zoom. The experience was straight forward, with students being able to access sessions via a link sent to our emails. The majority of the Zoom classes were recorded and put on Moodle so they could be re-watched if anything was missed in the live class. Alternatively, some seminars were recorded as a voice note and uploaded alongside the corresponding PowerPoint topic. This way, students could listen in their own time making the experience a lot easier.

When it came to exams, the instructions were made very simple for us all to understand. The assessments took place in the form of ‘take-home exams’. In the Economics department, we were given 3 hours to download the paper at the time of the exam, complete the exam and re-upload our answers onto FASER. Fortunately, I was able to work in a calm environment away from distractions to make the examinations as stress-free as possible. If I had to mention one thing that was a little bit of a pain, it would be the process of uploading the exam paper. I had made the decision to hand write all my exams because that is what I was most comfortable doing. However, it meant I would need to scan my answers and put them into one word document before submitting them. I completely underestimated the time this would take and so felt the time pressure during my first exam. This error was avoided in the exams that followed as I was better able to estimate the time needed to complete the paper and upload it in time.

Naturally, new experiences come with their own challenges and adjustments. The main challenge for me was maintaining the same levels of discipline to my studies despite being at home. It is fairly easy to get distracted whilst being stuck at home with the entire family. Secondly, the uncertainty surrounding the COVID-19 pandemic has been another challenge in and of itself. There have been moments during this period where motivation and morale has been low. This is particularly due to the devastating implications and effects the virus has had on many thousands of people.

Fortunately, I was able to secure a 12-week internship with an AR/VR company via the Essex Interns Programme a week before lockdown was announced by the government. This role helped me build a daily routine and remain focused whilst working from home. Despite only being in the office for the first 2 days, I am grateful to have still been able to complete the internship remotely. Meeting and working alongside new people allowed me to gain key skills that will most definitely be useful in future employment opportunities. Aside from this, I was also determined to ensure that regular exercise or physical activity became part of my routine. Most of the time, this would simply be a walk around the local area. Other times, I would have work out sessions with a few friends via Zoom in my back garden. This played an important role in helping to de-stress from the pressures that came with completing a degree during a global pandemic.

Overall, my experience during lockdown and with online learning has been as positive as it could be. The support from the university has allowed it to be as smooth as possible with students being kept up to date at every stage. In the near future, online learning could be a key part of university learning and the past few months have proved that it has the capacity to be successful for many students and institutions.

About the Author:

Deborah sampah.

Economics student, University of Essex

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Effects of remote learning during COVID-19 lockdown on children’s learning abilities and school performance: A systematic review

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This systematic review describes the effects of COVID-19 lockdowns on children’s learning and school performance. A systematic search was conducted using three databases. A total of 1787 articles were found, and 24 articles were included. Overall, academic performance was negatively affected by COVID-19 lockdowns, with lower scores in standardized tests in the main domains compared to previous years. Academic, motivational, and socio-emotional factors contributed to lower performance. Educators, parents, and students reported disorganization, increased academic demands, and motivational and behavioral changes. Teachers and policymakers should consider these results in developing future education strategies.

1. Introduction

The Coronavirus Disease 2019 (COVID-19) pandemic has had severe global impacts, from the deaths of millions of people to worldwide economic crises. The spread of this unprecedented disease has forced communities into social isolation, changing the ways we relate and socialize with others. Since March 11, 2020, when the World Health Organization declared a global pandemic, the world has increasingly transitioned toward remote communication, placing a virtual interface between human interactions ( Cucinotta and Vanelli, 2020 ). Children have been profoundly affected by this sudden lifestyle change. With the closure of schools and colleges, learning and education have increasingly become screen-dependent, impacting children’s cognitive, social, and emotional development ( Alban Conto et al., 2021 , Haleemunnissa et al., 2021 ).

Although remote learning benefits disease control, it has augmented socioeconomic inequalities regarding access to technological resources ( Hossain, 2021 ). During the pandemic, low-income families tended to have less access to reliable internet and devices compared with high-income families in the same city ( Francis and Weller, 2022 ). Consequently, children from less privileged households spent fewer hours learning and were more likely to drop out of school ( The Lancet, 2021 , Zagalaz-Sánchez et al., 2021 ). Indeed, UNICEF reports that the impacts of the COVID-19 pandemic on children’s education in Ghana were marked by a lack of access to essential tools and learning materials (such as computers and textbooks) and inadequate conditions for effective learning (overcrowded households, poor or no access to electricity, and improper space for learning). These circumstances were more common in children living in rural and remote areas. Children with disabilities and physical or learning impairments were also affected ( Karpati et al., 2021 ). Furthermore, a lack of high-quality education impacts individuals’ health and income, as well as professional opportunities in the future, because of the bidirectional links between health and education ( The Lancet, 2021 ).

Moreover, several adverse effects of remote learning on children’s mental health have been identified, mostly related to the excessive use of electronic devices and lack of in-person contact with school classmates and teachers. These reported effects include disturbed sleep patterns, attention deficits, frustration, stress, depression, and boredom ( Xie et al., 2020 ). However, positive effects of distance learning have also been reported, such as improved competitive and motor skills ( Sundus, 2017 ). Therefore, the overall impact of school closures and remote learning remains controversial.

Remote learning has also negatively affected children’s cognitive and academic performance throughout all age groups ( Colvin et al., 2022 ). Standardized assessments during and after obligatory confinement have revealed students’ difficulties meeting grade expectations, particularly in schools with less in-person class time ( Colvin et al., 2022 ). Specific academic difficulties have been reported in mathematics, language, and reading skills. More than 1.5 million students from across the United States exhibited worse performance in mathematics and reading scores compared with the previous academic year ( Colvin et al., 2022 ).

As the death rate from COVID-19 slows, people have gradually returned to in-person businesses, and schools have begun to reopen. Current evidence still needs to be more consistent regarding the effect of remote learning on academic performance. Although remote tools may facilitate access to education and allow the development of additional learning skills, the consequences of screen-dependent learning during confinement are likely to affect children in the post-COVID-19 era, and the long-term impact remains to be seen. Therefore, the current systematic review sought to describe the effects of COVID-19 lockdowns on children’s learning abilities and school performance.

2. Materials and methods

A systematic literature search was conducted on September 24, 2021, and February 3, 2023, to identify experimental, observational, or analytical studies. The search was performed in three online databases. The following terms were used in a search of PubMed (https://pubmed.ncbi.nlm.nih.gov/advanced/): (((((((((virtual) OR (virtually)) AND (learning)) AND (learning disorders)) AND (distance learning[MeSH Terms])) OR (distance education[MeSH Terms])) AND (pandemic[MeSH Terms])) OR (confinement)) AND (School children) AND (COVID-19)). For searching the Scopus database (https://www.scopus.com), we used the following terms: ALL ( virtual OR virtually AND learning AND learning AND disorders AND (“distance” AND “learning”) AND (“distance” AND “education”) AND (pandemic OR confinement) AND (“school” AND “children”) AND covid-19) AND (LIMIT-TO (SUBJAREA, “MEDI”) OR LIMIT-TO (SUBJAREA, “PSYC”) OR LIMIT-TO (SUBJAREA, “HEAL”) OR LIMIT-TO (SUBJAREA, “NEUR”)). Finally, for searching the Science Direct database (https://www.sciencedirect.com/search), we used the following terms: ((((((((virtual) AND (learning)) AND (learning disorders)) AND (distance learning[MeSH Terms])) OR (distance education[MeSH Terms])) AND (pandemic[MeSH Terms])) OR (confinement)) AND (school children) AND COVID-19. The ID 290696 was generated in the International Prospective Register of Systematic Reviews.

We found 1787 articles, removed duplicates, and filtered the remaining articles by title and abstract following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines ( Fig. 1 ). Articles were excluded if they: (I) assessed the impact of COVID-19 lockdown on physical education, metabolic diseases, or visual impairment; (II) focused on paternal stress or adult academic performance; (III) focused on mental health or lifestyle implications caused by confinement without analyzing the association with learning abilities; (IV) were book chapters or narrative reviews; or (V) were published in languages other than Spanish, English, and French. Consequently, we selected 24 articles. All included articles were evaluated using the Joanna Briggs checklist to guarantee quality (https://jbi.global/critical-appraisal-tools). Finally, we extracted the following information: title, year of publication, authors, digital object identifier number, objectives, period of the study, period of confinement in the country of the study, evaluated learning area, population and sample, tests implemented for learning assessment, and overall results. In addition, a final question was answered for each study: “Did learning improve, stay the same, or worsen after lockdown?” All investigators participated in the data collection process and the preparation for data presentation and synthesis.

Preferred reporting items for systematic reviews and meta-analyses flow diagram.

Articles included in the review were grouped based on the primary domain of children’s learning performance examined during COVID-19 lockdowns. First, children’s academic performance was clustered in mathematics, reading, language, and biology. Second, we grouped articles that examined emotional and behavioral impacts on academic performance, and those that focused on children’s, parents’, and teachers’ recollections regarding perceptions of learning ( Table 1 ). Twelve studies were conducted in Europe ( Álvarez-Guerrero et al., 2021 , Chambonnière et al., 2021 , Engzell et al., 2020 , Giménez-Dasí et al., 2020 , Haelermans et al., 2022 , Korzycka et al., 2021 , Maldonado and Witte, 2021 , Rose et al., 2021 , Scarpellini et al., 2021 , Spitzer and Musslick, 2021 , Tomasik et al., 2021 , Zagalaz-Sánchez et al., 2021 ), followed by four in Asia ( Cui et al., 2021 , Sakarneh, 2021 , Zhang et al., 2020 , Zhao et al., 2020 ), seven in North America ( Domingue et al., 2022 , Gaudreau et al., 2020 , Goldhaber et al., 2022 , Kuhfeld et al., 2022 , Kuhfeld et al., 2020 , Maulucci and Guffey, 2020 , Relyea et al., 2023 ), and one in South America ( González et al., 2022 ) ( Supplementary table ). Regarding evaluation methods, fifteen papers used standardized tests or formative assessment, eight studies used online questionnaires or surveys, and one study used an evaluation scale. Overall, we found that worsening learning outcomes were reported in 16 studies, whereas four studies reported improvements in children’s performance in mathematics, biology, and cognitive abilities, using adaptable teaching strategies for online classes. Finally, four studies reported stable learning performance. Further discussion of each study and the results is presented below.

Articles examining the impact of remote learning during the COVID-19 pandemic.

4. Discussion

4.1. effects of covid-19 lockdowns on children’s mathematics performance.

Six of the 24 studies evaluated differences in mathematical performance before and after lockdowns ( Cui et al., 2021 , Engzell et al., 2020 , Goldhaber et al., 2022 , Kuhfeld et al., 2020 , Rose et al., 2021 , Tomasik et al., 2021 ). Of these, only one study reported improved children’s academic outcomes, comparing the relative error and absolute error rates in mathematical problem sets in 2500 German students from grades 4–10 before and during school closures ( Spitzer and Musslick, 2021 ). The results revealed a positive effect of remote learning during COVID-19 lockdowns compared with the results from the previous year, particularly in students with previous lower academic achievement ( Spitzer and Musslick, 2021 ).

The other studies that evaluated students using standardized math tests in American, Swiss, Dutch, Flemish, and British schools reported mainly lower primary school scores during and after lockdowns ( Engzell et al., 2020 , Goldhaber et al., 2022 , Kuhfeld et al., 2020 , Maldonado and Witte, 2021 , Rose et al., 2021 , Tomasik et al., 2021 ). Differences in school performance varied among primary and secondary Swiss students, with the former being the most affected group ( Tomasik et al., 2021 ). Overall academic achievement was reduced in both groups, whereas only primary school students exhibited delayed learning with a distance learning system ( Tomasik et al., 2021 ). The authors proposed that cognitive, motivational, and socio-emotional effects were contributing factors ( Spitzer and Musslick, 2021 ). These findings align with projections of slower academic development after school closures in the United States ( Goldhaber et al., 2022 , Kuhfeld et al., 2020 ). A Policy Analysis for California Education report found that by the time students completed interim winter assessments in the 2020–21 school year, they had experienced a learning lag of approximately 2.6 months in English language arts (ELA) and 2.5 months in math ( Pier et al., 2021 ). Moreover, economically disadvantaged students, English learners, and students of color experienced a more significant learning lag than students not in these groups ( Goldhaber et al., 2022 , Pier et al., 2021 ).

4.2. Effects of COVID-19 Lockdowns on Children’s reading performance

Several studies in the United States, Netherlands, and England evaluated the effects of COVID-19 lockdowns on reading abilities in children ( Domingue et al., 2022 , Engzell et al., 2020 , Gaudreau et al., 2020 , Goldhaber et al., 2022 , Kuhfeld et al., 2020 , Rose et al., 2021 , Tambyraja et al., 2021 ). Engzell et al. analyzed performance in reading and comprehension of factual and literary subjects among 350,000 primary school students in national exams before and after an 8-week lockdown during the COVID-19 pandemic ( Engzell et al., 2020 ). The results revealed a post-pandemic decrease in reading performance of more than 3 % compared with pre-pandemic test results ( Engzell et al., 2020 ). Similar unfavorable results were reported by Rose et al.’s study in England during the spring and summer of 2020 ( Rose et al., 2021 ), which followed 6000 pupils for two years and evaluated learning performance using National Foundation for Educational Research standardized tests. The results revealed significantly lower reading performance in 2020 compared with a 2017 sample, with 5.2 % of students scoring two marks fewer. Moreover, reading assessments revealed a 7-month progress delay in 2020, compared with a 2019 sample ( Rose et al., 2021 ).

In the United States, Kuhfeld et al. proposed several projections regarding the impact of COVID-19 on learning patterns in 5 million students ( Kuhfeld et al., 2020 ). Data were extracted from Measures of Academic Progress Growth assessments in the previous two years. The authors made various predictions regarding best-case scenarios through to worst-case scenarios. Projections in a partial absenteeism scenario were predicted to result in 63–68 % of the expected annual learning gains in reading, whereas full absenteeism was predicted to result in less than 30 % of learning gains in reading. In addition, variability between students’ reading performance was estimated to be 1.2 times the standard deviation normally expected ( Kuhfeld et al., 2022 ).

Several studies reported that students’ socioeconomic status was a determinant factor for negative impacts on reading performance caused by COVID-19 lockdowns ( Domingue et al., 2022 , Engzell et al., 2020 , Kuhfeld et al., 2020 , Rose et al., 2021 , Tambyraja et al., 2021 ). In the United States, studies reported that students who attended high socioeconomic-status schools achieved better academic performance and had a more robust growth level than those who attended low socioeconomic-status schools or had reduced-price lunches ( Domingue et al., 2022 ). In the Netherlands, the decrease in reading learning performance was reported to be 60 % greater in children from disadvantaged homes ( Engzell et al., 2020 , Haelermans et al., 2022 ). Moreover, in England, Rose et al. reported that the gap between disadvantaged and non-disadvantaged students was 8.28 standardized points in the test, corresponding to an 8-month learning gap between the two groups ( Rose et al., 2021 ).

However, Gaudreau et al. proposed that during the COVID-19 pandemic, children’s remote vocabulary learning, and comprehension could be supported with virtual strategies designed to contribute to the educational progress of young students ( Gaudreau et al., 2020 ). The researchers evaluated reading comprehension and vocabulary learning in 58 4-year-old children under three different storytelling format conditions: live, video chat, and prerecorded storytelling. The results revealed that reading in all three formats positively stimulated verbal learning compared with children not exposed to reading, with more significant responses reported in the live and video chat conditions ( Gaudreau et al., 2020 ).

In addition, absenteeism significantly impacts students’ reading performance, indicating greater variability between children’s academic skills ( Kuhfeld et al., 2020 ). Some reading strategies used in remote learning environments may be beneficial for reading and could be implemented by teachers ( Gaudreau et al., 2020 ). Furthermore, social, and economic inequalities may contribute to gaps in reading performance between students that could last for years, requiring substantial mitigation efforts from schools and governments.

We found only a few studies conducted in other countries. Angrist et al. estimated learning losses in terms of oral reading fluency in sub-Saharan Africa from half a year to over one year in the short term, which can accumulate over time, and children might be unable to catch up. Their estimates suggest that short-term learning deficits for a child in grade 3 could accumulate to the equivalent of 2.8 years of lost learning by grade 10 ( Angrist et al., 2021 ).

4.3. Effects of COVID-19 Lockdowns on Children’s language performance

School closures caused by COVID-19 lockdowns have been reported to affect language learning negatively. Three of the 17 included studies reported reduced performance in language standardized tests compared with previous test results ( Engzell et al., 2020 , Maldonado and Witte, 2021 , Tomasik et al., 2021 ). Maldonado et al. evaluated mathematical and language scores in a Flemish school and reported lower Dutch and French learning results than in mathematics ( Maldonado and Witte, 2021 ). The authors proposed that the lack of Dutch speaking at home contributed to lower language performance. However, this difference was not found by Engzell et al., who evaluated reading, spelling, and mathematics scores in a Dutch school and reported lower scores in all three subjects than the previous year ( Engzell et al., 2020 , Maldonado and Witte, 2021 ). Children who relied on speech and language therapy faced a more significant challenge after school closures. The lack of access to in-person therapy and the shift to newly established teletherapy modalities contributed to therapy dropout and were likely to have decreased academic achievement in this population ( Tambyraja et al., 2021 ).

4.4. Effects of COVID-19 Lockdowns on Children’s biology performance

Biology and science performance was also assessed during COVID-19 lockdowns, and different virtual strategies have been proposed by researchers ( Maulucci and Guffey, 2020 ). Maulucci et al. examined the effects of Bybee’s 5E virtual academic model in biology lessons among 71 high school students. Bybee’s 5E model was integrated into a remote biology school curriculum, following two standard courses: The Alabama Course of Study and the Next Generation Science Standards. The authors examined responses to two biology pretest questions to assess misconceptions and evaluate students’ progress. The course involved several engaging, exploring, explaining, extending, and evaluating virtual activities. Analysis of the course dynamics revealed that students who attended live lessons benefited from discussion and feedback opportunities. This finding indicates that increasing live lessons and real-time participation may increase engagement, using tools like Nearpod, Zoom, and bio-interactive platforms. Overall, the results suggest that teachers’ and students’ technology skills must be developed quickly to enable new virtual strategies that guarantee the best learning environments for students ( Maulucci and Guffey, 2020 ).

4.5. Children’s, parents, and teachers’ perceptions of learning during COVID-19

Multiple investigators have studied the perceptions of students, parents, and teachers regarding the changes in education caused by COVID-19 ( Álvarez-Guerrero et al., 2021 , Cui et al., 2021 , Korzycka et al., 2021 , Sakarneh, 2021 , Scarpellini et al., 2021 , Zagalaz-Sánchez et al., 2021 , Zhang et al., 2020 ). Here we discuss the perceptions reported in these studies, emphasizing those that involve academic performance and learning skills. We will also review how students perceive their learning process and how parents and teachers perceive it from their perspectives.

4.5.1. Perceptions of parents’ and teachers of children with special needs

Regarding students with intellectual disabilities, five studies have been conducted so far ( Álvarez-Guerrero et al., 2021 , Averett, 2021 , Sakarneh, 2021 , Scarpellini et al., 2021 , Tellier, 2022 ). Some studies revealed negative perceptions and challenges of remote learning ( Álvarez-Guerrero et al., 2021 , Averett, 2021 , Sakarneh, 2021 ). In Jordan, Sakarneh interviewed ten parents of children with special needs about their perceptions regarding the use of online platforms, behavioral changes caused by lockdowns, and the level of inclusion of education ( Sakarneh, 2021 ). Parents reported two main issues regarding remote learning adaptation: first, the lack of motivation to complete tasks individually, and second, the use of conventional teaching techniques that were not adaptable to children’s particular needs because of strict schedules and inadequate learning material ( Sakarneh, 2021 ). Studies conducted in Spain, Italy, and the US highlighted the lack of virtual accommodations for the special needs population and the lack of social skills development due to virtual interactions ( Álvarez-Guerrero et al., 2021 , Averett, 2021 , Scarpellini et al., 2021 ).

On the contrary, some parents and teachers in the US and Canada shared positive experiences with remote learning in children with disabilities. They expressed stress relief, control of mood swings, time flexibility, increased accessibility, and support due to the hard work of school staff ( Averett, 2021 , Pellicano and Stears, 2020 , Tellier, 2022 ).

Several strategies have been proposed. Utilization of concept maps, prolonged work times, and decreases in the number of tasks as well as encouraging children to ask for help, promoting the preparation of the class materials, stimulating peer discussion, familiarization with the learning platform, and using an individualized student center method ( Cui et al., 2021 , Tellier, 2022 , Zhao et al., 2020 ). In Spain, Álvarez-Guerrero et al. analyzed the Dialogic Literary Gatherings responses of five children with moderate to severe intellectual disabilities ( Álvarez-Guerrero et al., 2021 ). Teachers' and parents' perceptions were also examined. Two teachers directed the meetings once a week for six months. Visual aids, such as photographs and drawings related to the literary content, facilitated children's comprehension. In addition, the role of families in learning interaction during gatherings was essential for the transition from face-to-face to virtual dynamics. Teachers perceived the benefits of debate and discussion in cognitive and behavioral processes. Moreover, Dialogic Literary Gatherings were reported to promote children's vocabulary, comprehension, and reading abilities and enhance their interactions with society ( Álvarez-Guerrero et al., 2021 ).

4.5.2. Perceptions of parents and teachers of neurotypical children

In neurotypical children, further studies were carried out that reflected essential concerns, which can be grouped into the following clusters: perception of virtual learning disorganization, increased academic demands, motivational and behavioral changes, and particular academic impact in rural areas ( Sakarneh, 2021 , Scarpellini et al., 2021 , Zagalaz-Sánchez et al., 2021 ).

First, the overall results reported a perception of the disorganization of distance learning. In Italy, 1601 mothers were interviewed to explore their perceptions of primary and middle school children's experiences with remote learning during COVID-19 lockdowns. The results revealed that 1.5 % of children lacked access to technology, particularly primary school students who were often exposed to less structured routines. Furthermore, the results revealed diminished teacher feedback and contact compared with face-to-face teaching formats. Regarding learning assessments, primary school students performed less than in the previous academic year. In contrast, middle school grades remained consistent because of better planning of tests and oral exams ( Scarpellini et al., 2021 ). In a survey conducted in Poland, school children's concerns were regarding the lack of feedback from teachers, unclear evaluation parameters for older students, and an absence of academic progress comparison with peers among younger students ( Korzycka et al., 2021 ).

Second, the curriculum structure was a perceived concern, particularly increased academic demands. A national survey in Poland assessed adolescents' perceptions of remote learning and performance during COVID-19 lockdowns ( Korzycka et al., 2021 ). For older students, curriculum structure was identified as a difficulty, particularly increased academic demands ( Korzycka et al., 2021 ). In China, Cui et al. conducted a questionnaire with 1008 elementary school children and parents, distributed in two data collection periods, one at the beginning and the other at the end of 40 days during China's COVID-19 lockdown ( Cui et al., 2021 ). According to the results, parents agreed that the lecture format was inadequate, surpassing students' capacities and potentially promoting emotional and behavioral disturbances ( Cui et al., 2021 ).

Third, a lack of motivation and behavioral problems were commonly raised in surveys. A survey by Cui et al. revealed that a trend for decreased motivation was reflected in uncompleted homework assignments and dissatisfaction with online lessons ( Cui et al., 2021 ). Moreover, Korzycka et al. reported that lack of motivation was thought by children to be secondary to the lack of a school environment and extracurricular activities ( Korzycka et al., 2021 ). Furthermore, Italian mothers also reported behavioral changes, such as reduced attention span (< 20 min), an increased need for breaks (every 10 min), restlessness in younger children (69.1 %), and anxiety in older children (34.2 %) ( Scarpellini et al., 2021 ). In addition, living conditions during COVID-19 lockdowns significantly affected children's motivation, and the degree of happiness and fatigue were related to the size of housing ( Zagalaz-Sánchez et al., 2021 ). Specifically, larger house environments were associated with greater happiness and less fatigue, while participants that lived in rural areas had increased levels of physical activity and reading ( Zagalaz-Sánchez et al., 2021 ). A survey performed in India regarding the perception of teachers and students towards online classes reported generalized negative feedback and overall preference for regular classes and highlighted the influence of learning environments on the quality of online learning and teaching ( Selvaraj et al., 2021 ).

Finally, specific academic impacts in rural areas were also reported in three studies ( Korzycka et al., 2021 , van Cappelle et al., 2021 , Zagalaz-Sánchez et al., 2021 ). In Spain, a 45-day cross-sectional study was performed to analyze the effects of living conditions during COVID-19 on educational activities and learning processes. A sample of 837 0–12-year-old children and their families responded to a validated questionnaire, and daily life activities were compared between children from urban and rural areas. Regarding technological devices, children with higher usage tended to live in apartments, followed by children without gardens in their houses, who mostly lived in urban areas ( Zagalaz-Sánchez et al., 2021 ). In addition, students in rural areas faced significant tech-support challenges in remote learning compared with students from large cities ( Korzycka et al., 2021 ).

Similarly, a study reflecting on the findings from a UNICEF survey in India found several factors related to adolescents' perception of their learning. The frequency of teacher contact and live video classes had a positive impact. However, time spent on domestic chores significantly decreased reported levels of perceived learning ( van Cappelle et al., 2021 ).

Overall, the authors proposed that the multiple stimuli involved in remote learning can overload children’s integrating learning abilities ( Korzycka et al., 2021 ). The lack of appropriate cognitive stimulation and social interaction caused by COVID-19 lockdowns might affect learning performance, particularly in young children ( Scarpellini et al., 2021 ). Further institutional efforts should focus on comprehending social determinants to improve interventions and academic conditions for children.

4.6. Emotional and behavioral impacts on academic performance

Some previous studies have focused on understanding the emotional and behavioral factors regarding learning and academic environments during the COVID-19 pandemic. However, only three studies have sought to relate these factors to children's school performance and learning abilities ( Giménez-Dasí et al., 2020 , Zhang et al., 2020 , Zhao et al., 2020 ). For example, resilience, emotional regulation, psychiatric disorders, and behavioral changes have been examined in various studies. In Spain, Giménez-Dasí et al. evaluated psychological and behavioral effects in 167 3-to-11-year-old children and their families ( Giménez-Dasí et al., 2020 ). The System of Evaluation of Children and Adolescents questionnaire was assessed twice: before and after 4–6 weeks of lockdown. The results were divided between older (6–11-year-olds) and younger (3-year-olds) children. Older children exhibited the worst emotional regulation, attention, self-control, and willingness to study. In addition, younger children's parents reported worsening psychological states (55 % in early Childhood and 64 % in Primary education), whereas 36 % reported no change, and 17 % felt that their child's psychological state had improved ( Giménez-Dasí et al., 2020 ). Similar results were reported by Zhao et al. in 2010 school-aged children, parents, and teachers, using online questionnaires for seven days in China ( Zhao et al., 2020 ). Overall, participants reported that homeschooling methods were acceptable, whereas teachers mentioned a possible decline in children's academic performance, motivation, and focus. In addition, the results revealed that 17.6 % of respondents suspected emotional and behavioral problems in children, and 68.8 % of parents reported that their children had more than 3 h of screen time per day, which exceeds the recommendations of the American Academy of Pediatrics ( Committee on Public Education, 2001 , Zhao et al., 2020 ). Another study conducted in Spain found that online digital storytelling activity during the pandemic crisis provided primary school cognitive, emotional, and social support ( Alonso-Campuzano et al., 2021 ).

In China, Zhang et al. evaluated emotional resilience and its effects on learning skills in 896 12–14-year-old middle school children ( Zhang et al., 2020 ). In addition, different questionnaires were implemented in seventh and eighth graders during the first lockdown period. The results revealed that greater resilience contributed to a better time, environment, and resource management abilities. However, the authors reported that the follow-up duration was short and suggested further studies examining other factors, such as academic performance, family support, and technology habits ( Zhang et al., 2020 ).

5. Limitations

The number of studies selected for qualitative analysis is low, which impedes significant overall conclusions of the effects of lockdowns on academic outcomes. Although studies analyzed in this review provide general conclusions about the impact of remote learning on children's school performance, additional studies are required to further evaluate the potential moderators of learning. Furthermore, articles included in this study are heterogeneous in terms of the number of subjects, study design, and evaluation methods, which makes results difficult to compare one to another, thereby reaching subjective conclusions rather than quantitatively significant results. We also acknowledge an important geographic bias since most of the studies with significant results in academic performance were conducted in selected regions, and we found less evidence from Latin America, Africa, and other developing countries.

6. Conclusions

A relatively small number of studies examining the impact of COVID-19 lockdowns on academic performance and learning abilities have been published to date. Our analysis suggested several negative consequences of lockdowns and the shift to virtual learning schemes for children's academic performance in different knowledge areas. However, in about 35 % of the studies included, no learning loss was reported; therefore, the negative impact of academic performance during lockdown should be tempered. Some contributing factors were identified: socioeconomic status (type of household and family income), access to technology, learning environment, quality of innovative remote resources, and teachers' feedback.

Furthermore, remote learning has increased the learning gap between students, including those with intellectual disabilities who face a more significant challenge. New learning strategies have been developed to improve assessment and interactive pedagogical tools for improving children's attention, motivation, and willingness to study. In addition, psychological support for the behavioral and emotional consequences of COVID-19 is needed to facilitate children's transition back into in-person learning routines. Further research should focus on the long-term learning impact on school performance after lockdown to establish truthful conclusions.

Preparation for a possible new emergency is deemed necessary. Consideration of flexible learning modalities and standardized tests for performance monitoring could help overcome language, geography, and disability barriers. In addition, psychological support for the behavioral and emotional consequences of COVID-19 is needed to facilitate children's transition back into in-person learning routines. Further research should focus on the long-term learning impact on school performance after lockdown to establish truthful conclusions.

Ethics approval and consent to participate

Consent for publication.

This research received no external funding.

CRediT authorship contribution statement

María C. Cortés-Albornoz: Conceptualization, Methodology, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing. Sofía Ramírez-Guerrero: Conceptualization, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing. Danna P. García-Guáqueta: Conceptualization, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing. Alberto Vélez-Van-Meerbeke: Conceptualization, Investigation, Resources, Writing – review & editing. Claudia Talero-Gutiérrez: Conceptualization, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Supervision.

Conflicts of interest statement

The authors declare that they have no competing interests.

Appendix A Supplementary data associated with this article can be found in the online version at doi:10.1016/j.ijedudev.2023.102835 .

Appendix A. Supplementary material

Supplementary material

Data Availability

• Alban Conto C., Akseer S., Dreesen T., Kamei A., Mizunoya S., Rigole A. Potential effects of COVID-19 school closures on foundational skills and Country responses for mitigating learning loss. Int. J. Educ. Dev. 2021; 87 doi: 10.1016/j.ijedudev.2021.102434. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Alonso-Campuzano C., Iandolo G., Mazzeo M.C., Sosa González N., Neoh M.J.Y., Carollo A., Gabrieli G., Esposito G. Children’s online collaborative storytelling during 2020 COVID-19 home confinement. Eur. J. Investig. Health Psychol. Educ. 2021; 11 :1619–1634. doi: 10.3390/ejihpe11040115. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Álvarez-Guerrero G., López de Aguileta A., Racionero-Plaza S., Flores-Moncada L.G. Beyond the School Walls: keeping interactive learning environments alive in confinement for students in special education. Front. Psychol. 2021; 12 doi: 10.3389/fpsyg.2021.662646. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Angrist N., de Barros A., Bhula R., Chakera S., Cummiskey C., DeStefano J., Floretta J., Kaffenberger M., Piper B., Stern J. Building back better to avert a learning catastrophe: Estimating learning loss from COVID-19 school shutdowns in Africa and facilitating short-term and long-term learning recovery. Int. J. Educ. Dev. 2021; 84 doi: 10.1016/j.ijedudev.2021.102397. [ CrossRef ] [ Google Scholar ]
• Averett K. Remote learning, COVID-19, and children with disabilities. AERA Open. 2021:7. doi: 10.1177/23328584211058471. [ CrossRef ] [ Google Scholar ]
• van Cappelle F., Chopra V., Ackers J., Gochyyev P. An analysis of the reach and effectiveness of distance learning in India during school closures due to COVID-19. Int. J. Educ. Dev. 2021; 85 doi: 10.1016/j.ijedudev.2021.102439. [ CrossRef ] [ Google Scholar ]
• Chambonnière C., Fearnbach N., Pelissier L., Genin P., Fillon A., Boscaro A., Bonjean L., Bailly M., Siroux J., Guirado T., Pereira B., Thivel D., Duclos M. Adverse collateral effects of COVID-19 public health restrictions on physical fitness and cognitive performance in primary school children. Int. J. Environ. Res. Public. Health. 2021; 18 :11099. doi: 10.3390/ijerph182111099. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Colvin M.K. (Molly), Reesman J., Glen T. The impact of COVID-19 related educational disruption on children and adolescents: an interim data summary and commentary on ten considerations for neuropsychological practice. Clin. Neuropsychol. 2022; 36 :45–71. doi: 10.1080/13854046.2021.1970230. [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Committee on Public Education Children, adolescents, and television. Pediatrics. 2001; 107 :423–426. doi: 10.1542/peds.107.2.423. [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Cucinotta D., Vanelli M. WHO declares COVID-19 a pandemic. Acta Biomed. Atenei Parm. 2020; 91 :157–160. doi: 10.23750/abm.v91i1.9397. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Cui S., Zhang C., Wang S., Zhang X., Wang L., Zhang L., Yuan Q., Huang C., Cheng F., Zhang K., Zhou X. Experiences and attitudes of elementary school students and their parents toward online learning in china during the COVID-19 pandemic: questionnaire study. J. Med. Internet Res. 2021; 23 doi: 10.2196/24496. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Domingue B.W., Dell M., Lang D., Silverman R., Yeatman J., Hough H. The effect of COVID on oral reading fluency during the 2020–2021 academic year. AERA Open. 2022; 8 doi: 10.1177/23328584221120254. [ CrossRef ] [ Google Scholar ]
• Engzell P., Frey A., Verhagen M.D. Learning inequality during the Covid-19 pandemic. SocArXiv. 2020 [ Google Scholar ]
• Francis D., Weller C. Economic inequality, the digital divide, and remote learning during COVID-19. Rev. Black Polit. Econ. 2022:49. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Gaudreau C., King Y.A., Dore R.A., Puttre H., Nichols D., Hirsh-Pasek K., Golinkoff R.M. Preschoolers benefit equally from video chat, pseudo-contingent video, and live book reading: implications for storytime during the coronavirus pandemic and beyond. Front. Psychol. 2020:11. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Giménez-Dasí M., Quintanilla L., Lucas-Molina B., Sarmento-Henrique R. Six weeks of confinement: psychological effects on a sample of children in early childhood and primary education. Front. Psychol. 2020:11. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Goldhaber, D., Kane, T., McEachin, A., Morton, E., 2022. A Comprehensive Picture of Achievement Across the COVID-19 Pandemic Years: Examining Variation in Test Levels and Growth Across Districts, Schools, Grades, and Students | CALDER. CALDER Work. Pap. No 266–0522.
• González M., Loose T., Liz M., Pérez M., Rodríguez-Vinçon J.I., Tomás-Llerena C., Vásquez-Echeverría A. School readiness losses during the COVID-19 outbreak. A comparison of two cohorts of young children. Child Dev. 2022; 93 :910–924. doi: 10.1111/cdev.13738. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Haelermans C., Korthals R., Jacobs M., de Leeuw S., Vermeulen S., van Vugt L., Aarts B., Prokic-Breuer T., van der Velden R., van Wetten S., de Wolf I. Sharp increase in inequality in education in times of the COVID-19-pandemic. PLoS One. 2022; 17 doi: 10.1371/journal.pone.0261114. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Haleemunnissa S., Didel S., Swami M.K., Singh K., Vyas V. Children and COVID19: Understanding impact on the growth trajectory of an evolving generation. Child. Youth Serv. Rev. 2021; 120 doi: 10.1016/j.childyouth.2020.105754. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Hossain M. Unequal experience of COVID-induced remote schooling in four developing countries. Int. J. Educ. Dev. 2021; 85 doi: 10.1016/j.ijedudev.2021.102446. [ CrossRef ] [ Google Scholar ]
• Karpati, J., Elezaj, E., De Neubourg, C., Cebotari, V., 2021. Primary and secondary impacts of the COVID-19 pandemic on children in Ghana. UNICEF.
• Korzycka M., Bójko M., Radiukiewicz K., Dzielska A., Nałęcz H., Kleszczewska D., Małkowska-Szkutnik A., Fijałkowska A. Demographic analysis of difficulties related to remote education in Poland from the perspective of adolescents during the COVID-19 pandemic. Ann. Agric. Environ. Med. AAEM. 2021; 28 :149–157. doi: 10.26444/aaem/133100. [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Kuhfeld M., Soland J., Tarasawa B., Johnson A., Ruzek E., Liu J. Projecting the potential impact of COVID-19 school closures on academic achievement. Educ. Res. 2020; 49 :549–565. doi: 10.3102/0013189×20965918. [ CrossRef ] [ Google Scholar ]
• Kuhfeld M., Soland J., Lewis K., Ruzek E., Johnson A. The COVID-19 school year: learning and recovery across 2020-2021. AERA Open. 2022; 8 doi: 10.1177/23328584221099306. [ CrossRef ] [ Google Scholar ]
• Maldonado J.E., Witte K.D. The effect of school closures on standardised student test outcomes. Br. Educ. Res. J. 2021 [ Google Scholar ]
• Maulucci M.E., Guffey S.K. Evolution in the digital age: implementation of 5E and NGSS in the virtual biology classroom. Electron. J. Res. Sci. Math. Educ. 2020; 24 :45–52. [ Google Scholar ]
• Pellicano E., Stears M. The hidden inequalities of COVID-19. Autism Int. J. Res. Pr. 2020; 24 :1309–1310. doi: 10.1177/1362361320927590. [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Pier L., Christian M., Tymeson H., Meyer R. COVID-19 impacts on student Learning [WWW Document] Policy Anal. Calif. Educ. 2021 〈https://edpolicyinca.org/publications/covid-19-impacts-student-learning〉 (URL) [ Google Scholar ]
• Relyea J.E., Rich P., Kim J.S., Gilbert J.B. The COVID-19 impact on reading achievement growth of Grade 3-5 students in a U.S. urban school district: variation across student characteristics and instructional modalities. Read. Writ. 2023; 36 :317–346. doi: 10.1007/s11145-022-10387-y. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Rose, S., Badr, K., Fletcher, L., Paxman, T., Lord, P., Rutt, S., Styles, B., Twist, L., 2021. Impact of School Closures and Subsequent Support Strategies on Attainment and Socio-Emotional Wellbeing in Key Stage 1. Research Report, Education Endowment Foundation. Education Endowment Foundation.
• Sakarneh M.A. The impact of COVID-19 and lockdown on families of students with special education needs. Cypriot J. Educ. Sci. 2021; 16 :1010–1020. doi: 10.18844/cjes.v16i3.5787. [ CrossRef ] [ Google Scholar ]
• Scarpellini F., Segre G., Cartabia M., Zanetti M., Campi R., Clavenna A., Bonati M. Distance learning in Italian primary and middle school children during the COVID-19 pandemic: a national survey. BMC Public Health. 2021; 21 :1035. doi: 10.1186/s12889-021-11026-x. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Selvaraj A., Radhin V., Ka N., Benson N., Mathew A.J. Effect of pandemic based online education on teaching and learning system. Int. J. Educ. Dev. 2021; 85 doi: 10.1016/j.ijedudev.2021.102444. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Spitzer M.W.H., Musslick S. Academic performance of K-12 students in an online-learning environment for mathematics increased during the shutdown of schools in wake of the COVID-19 pandemic. PLoS One. 2021; 16 doi: 10.1371/journal.pone.0255629. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Sundus M. The impact of using gadgets on children. J. Depress Anxiety. 2017:07. doi: 10.4172/2167-1044.1000296. [ CrossRef ] [ Google Scholar ]
• Tambyraja S.R., Farquharson K., Coleman J. Speech-Language Teletherapy Services for School-Aged Children in the United States During the COVID-19 Pandemic. J. Educ. Stud. Place. Risk JESPAR. 2021; 26 :91–111. doi: 10.1080/10824669.2021.1906249. [ CrossRef ] [ Google Scholar ]
• Tellier, M., 2022. The impact of online learning on the responsibility skills of students with autism spectrum disorder (Thesis).
• The Lancet COVID-19: the intersection of education and health. Lancet. 2021; 397 :253. doi: 10.1016/S0140-6736(21)00142-2. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Tomasik M.J., Helbling L.A., Moser U. Educational gains of in-person vs. distance learning in primary and secondary schools: a natural experiment during the COVID-19 pandemic school closures in Switzerland. Int. J. Psychol. J. Int. Psychol. 2021; 56 :566–576. doi: 10.1002/ijop.12728. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Xie X., Xue Q., Zhou Y., Zhu K., Liu Q., Zhang J., Song R. Mental Health Status Among Children in Home Confinement During the Coronavirus Disease 2019 Outbreak in Hubei Province, China. JAMA Pediatr. 2020; 174 :898–900. doi: 10.1001/jamapediatrics.2020.1619. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Zagalaz-Sánchez M.L., Cachón-Zagalaz J., Arufe-Giráldez V., Sanmiguel-Rodríguez A., González-Valero G. Influence of the characteristics of the house and place of residence in the daily educational activities of children during the period of COVID-19′ confinement. Heliyon. 2021:7. doi: 10.1016/j.heliyon.2021.e06392. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Zhang Q., Zhou L., Xia J. Impact of COVID-19 on emotional resilience and learning management of middle school students. Med. Sci. Monit. Int. Med. J. Exp. Clin. Res. 2020; 26 doi: 10.12659/MSM.924994. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Zhao Y., Guo Y., Xiao Y., Zhu R., Sun W., Huang W., Liang D., Tang L., Zhang F., Zhu D., Wu J.-L. The effects of online homeschooling on children, parents, and teachers of grades 1–9 during the COVID-19 pandemic. Med. Sci. Monit. Int. Med. J. Exp. Clin. Res. 2020; 26 :e925591-1–e925591-10. doi: 10.12659/MSM.925591. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]