conclusion of covid 19 impact on education

How is COVID-19 affecting student learning?

Subscribe to the brown center on education policy newsletter, initial findings from fall 2020, megan kuhfeld , megan kuhfeld director of growth modeling and data analytics - nwea jim soland , jim soland assistant professor, school of education and human development - university of virginia, affiliated research fellow - nwea beth tarasawa , bt beth tarasawa executive vice president of research - nwea angela johnson , aj angela johnson research scientist - nwea erik ruzek , and er erik ruzek research assistant professor, curry school of education - university of virginia karyn lewis karyn lewis vice president of research and policy partnerships - nwea.

December 3, 2020

The COVID-19 pandemic has introduced uncertainty into major aspects of national and global society, including for schools. For example, there is uncertainty about how school closures last spring impacted student achievement, as well as how the rapid conversion of most instruction to an online platform this academic year will continue to affect achievement. Without data on how the virus impacts student learning, making informed decisions about whether and when to return to in-person instruction remains difficult. Even now, education leaders must grapple with seemingly impossible choices that balance health risks associated with in-person learning against the educational needs of children, which may be better served when kids are in their physical schools.

Amidst all this uncertainty, there is growing consensus that school closures in spring 2020 likely had negative effects on student learning. For example, in an earlier post for this blog , we presented our research forecasting the possible impact of school closures on achievement. Based on historical learning trends and prior research on how out-of-school-time affects learning, we estimated that students would potentially begin fall 2020 with roughly 70% of the learning gains in reading relative to a typical school year. In mathematics, students were predicted to show even smaller learning gains from the previous year, returning with less than 50% of typical gains. While these and other similar forecasts presented a grim portrait of the challenges facing students and educators this fall, they were nonetheless projections. The question remained: What would learning trends in actual data from the 2020-21 school year really look like?

With fall 2020 data now in hand , we can move beyond forecasting and begin to describe what did happen. While the closures last spring left most schools without assessment data from that time, thousands of schools began testing this fall, making it possible to compare learning gains in a typical, pre-COVID-19 year to those same gains during the COVID-19 pandemic. Using data from nearly 4.4 million students in grades 3-8 who took MAP ® Growth™ reading and math assessments in fall 2020, we examined two primary research questions:

• How did students perform in fall 2020 relative to a typical school year (specifically, fall 2019)?
• Have students made learning gains since schools physically closed in March 2020?

To answer these questions, we compared students’ academic achievement and growth during the COVID-19 pandemic to the achievement and growth patterns observed in 2019. We report student achievement as a percentile rank, which is a normative measure of a student’s achievement in a given grade/subject relative to the MAP Growth national norms (reflecting pre-COVID-19 achievement levels).

To make sure the students who took the tests before and after COVID-19 school closures were demographically similar, all analyses were limited to a sample of 8,000 schools that tested students in both fall 2019 and fall 2020. Compared to all public schools in the nation, schools in the sample had slightly larger total enrollment, a lower percentage of low-income students, and a higher percentage of white students. Since our sample includes both in-person and remote testers in fall 2020, we conducted an initial comparability study of remote and in-person testing in fall 2020. We found consistent psychometric characteristics and trends in test scores for remote and in-person tests for students in grades 3-8, but caution that remote testing conditions may be qualitatively different for K-2 students. For more details on the sample and methodology, please see the technical report accompanying this study.

In some cases, our results tell a more optimistic story than what we feared. In others, the results are as deeply concerning as we expected based on our projections.

Question 1: How did students perform in fall 2020 relative to a typical school year?

When comparing students’ median percentile rank for fall 2020 to those for fall 2019, there is good news to share: Students in grades 3-8 performed similarly in reading to same-grade students in fall 2019. While the reason for the stability of these achievement results cannot be easily pinned down, possible explanations are that students read more on their own, and parents are better equipped to support learning in reading compared to other subjects that require more formal instruction.

The news in math, however, is more worrying. The figure below shows the median percentile rank in math by grade level in fall 2019 and fall 2020. As the figure indicates, the math achievement of students in 2020 was about 5 to 10 percentile points lower compared to same-grade students the prior year.

Figure 1: MAP Growth Percentiles in Math by Grade Level in Fall 2019 and Fall 2020

Source: Author calculations with MAP Growth data. Notes: Each bar represents the median percentile rank in a given grade/term.

Question 2: Have students made learning gains since schools physically closed, and how do these gains compare to gains in a more typical year?

To answer this question, we examined learning gains/losses between winter 2020 (January through early March) and fall 2020 relative to those same gains in a pre-COVID-19 period (between winter 2019 and fall 2019). We did not examine spring-to-fall changes because so few students tested in spring 2020 (after the pandemic began). In almost all grades, the majority of students made some learning gains in both reading and math since the COVID-19 pandemic started, though gains were smaller in math in 2020 relative to the gains students in the same grades made in the winter 2019-fall 2019 period.

Figure 2 shows the distribution of change in reading scores by grade for the winter 2020 to fall 2020 period (light blue) as compared to same-grade students in the pre-pandemic span of winter 2019 to fall 2019 (dark blue). The 2019 and 2020 distributions largely overlapped, suggesting similar amounts of within-student change from one grade to the next.

Figure 2: Distribution of Within-student Change from Winter 2019-Fall 2019 vs Winter 2020-Fall 2020 in Reading

Source: Author calculations with MAP Growth data. Notes: The dashed line represents zero growth (e.g., winter and fall test scores were equivalent). A positive value indicates that a student scored higher in the fall than their prior winter score; a negative value indicates a student scored lower in the fall than their prior winter score.

Meanwhile, Figure 3 shows the distribution of change for students in different grade levels for the winter 2020 to fall 2020 period in math. In contrast to reading, these results show a downward shift: A smaller proportion of students demonstrated positive math growth in the 2020 period than in the 2019 period for all grades. For example, 79% of students switching from 3 rd to 4 th grade made academic gains between winter 2019 and fall 2019, relative to 57% of students in the same grade range in 2020.

Figure 3: Distribution of Within-student Change from Winter 2019-Fall 2019 vs. Winter 2020-Fall 2020 in Math

It was widely speculated that the COVID-19 pandemic would lead to very unequal opportunities for learning depending on whether students had access to technology and parental support during the school closures, which would result in greater heterogeneity in terms of learning gains/losses in 2020. Notably, however, we do not see evidence that within-student change is more spread out this year relative to the pre-pandemic 2019 distribution.

The long-term effects of COVID-19 are still unknown

In some ways, our findings show an optimistic picture: In reading, on average, the achievement percentiles of students in fall 2020 were similar to those of same-grade students in fall 2019, and in almost all grades, most students made some learning gains since the COVID-19 pandemic started. In math, however, the results tell a less rosy story: Student achievement was lower than the pre-COVID-19 performance by same-grade students in fall 2019, and students showed lower growth in math across grades 3 to 8 relative to peers in the previous, more typical year. Schools will need clear local data to understand if these national trends are reflective of their students. Additional resources and supports should be deployed in math specifically to get students back on track.

In this study, we limited our analyses to a consistent set of schools between fall 2019 and fall 2020. However, approximately one in four students who tested within these schools in fall 2019 are no longer in our sample in fall 2020. This is a sizeable increase from the 15% attrition from fall 2018 to fall 2019. One possible explanation is that some students lacked reliable technology. A second is that they disengaged from school due to economic, health, or other factors. More coordinated efforts are required to establish communication with students who are not attending school or disengaging from instruction to get them back on track, especially our most vulnerable students.

Finally, we are only scratching the surface in quantifying the short-term and long-term academic and non-academic impacts of COVID-19. While more students are back in schools now and educators have more experience with remote instruction than when the pandemic forced schools to close in spring 2020, the collective shock we are experiencing is ongoing. We will continue to examine students’ academic progress throughout the 2020-21 school year to understand how recovery and growth unfold amid an ongoing pandemic.

Thankfully, we know much more about the impact the pandemic has had on student learning than we did even a few months ago. However, that knowledge makes clear that there is work to be done to help many students get back on track in math, and that the long-term ramifications of COVID-19 for student learning—especially among underserved communities—remain unknown.

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COVID-19 and its impact on education, social life and mental health of students: A survey

Kunal chaturvedi, dinesh kumar vishwakarma, nidhi singh.

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Received 2020 Jul 28; Revised 2020 Dec 17; Accepted 2020 Dec 18; Issue date 2021 Feb.

Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

The outbreak of COVID-19 affected the lives of all sections of society as people were asked to self-quarantine in their homes to prevent the spread of the virus. The lockdown had serious implications on mental health, resulting in psychological problems including frustration, stress, and depression. In order to explore the impacts of this pandemic on the lives of students, we conducted a survey of a total of 1182 individuals of different age groups from various educational institutes in Delhi - National Capital Region (NCR), India. The article identified the following as the impact of COVID-19 on the students of different age groups: time spent on online classes and self-study, medium used for learning, sleeping habits, daily fitness routine, and the subsequent effects on weight, social life, and mental health. Moreover, our research found that in order to deal with stress and anxiety, participants adopted different coping mechanisms and also sought help from their near ones. Further, the research examined the student’s engagement on social media platforms among different age categories. This study suggests that public authorities should take all the necessary measures to enhance the learning experience by mitigating the negative impacts caused due to the COVID-19 outbreak.

Keywords: Children and Youth, Covid-19, Impact, Online education, Mental health, Students

1. Introduction

The emergence of Corona Virus disease (COVID-19) has led the world to an unprecedented public health crisis. Emergency protocols were implemented in India to control the spread of the virus which resulted in restrictions on all non-essential public movements ( Saha et al. 2020 ). With the closure of educational institutions, the need for a rapid transition from physical learning to the digital sphere of learning emerged ( Kapasia et al. 2020 ). Online learning has been observed as a possible alternative to conventional learning ( Adnan and Anwar 2020 ). However, according to a meta-analysis on e-learning ( Cook 2009 ), it is reported that online learning is better than nothing and similar to conventional learning. To improve the e-learning experience, the education institutions are required to comply with the guidelines and recommendations by government agencies, while keeping students encouraged to continue learning remotely in this tough environment ( Aucejo et al. 2020 ). Bao (2020 ) addresses five high-impact guidelines for the efficient conduct of online education.

This rapid evolution at such a large scale has influenced the students of all age groups ( Hasan and Bao 2020 ). It is expected that the continued spread of the disease, travel restrictions and the closure of educational institutions across the country would have a significant effect on the education, social life, and mental health of students ( Odriozola-gonzález et al. 2020 ). The students from the less privileged backgrounds have experienced larger negative impacts due to the Covid-19 outbreak ( Aucejo et al. 2020 ). Reduction in family income, limited access to digital resources, and the high cost of internet connectivity have disrupted the academic life of the students. Moreover, 1.5 billion students across the world are now deprived of basic education ( Lee 2020 ) leading to a serious psychological impact on their health. Moreover, changes in daily routine including lack of outdoor activity, disturbed sleeping patterns, social distancing have affected the mental well-being of the students. ( Cao et al. 2020 ) uses 7-item Generalized Anxiety Disorder Scale (GAD-7) as a diagnostic tool for the assessment of anxiety disorders, panic disorders, and social phobia. Further, ( Ye et al. 2020 ) analyses mediating roles of resilience, coping, and social support to deal with psychological symptoms.

In this paper, we investigated and analyzed the potential consequences of the COVID-19 pandemic on the life of students. Our research shows that there is a wide gap between the government's policy aspirations and the implementation of these online education policies at the grassroots level. Moreover, our study attempts to assess the mental situation of students of different age groups using different parameters including sleeping habits, daily fitness routine, and social support. Further, we analyse different coping mechanisms used by students to deal with the current situation.

2. Objective and methods

A 19-set questionnaire was developed, which included a variety of multiple-choice questions, Likert scale and for a few questions, the respondents were allowed to enter free texts. The survey was administered using the Google Forms platform, which requires subjects to be logged in to an e-mail account to participate in the survey, it restricted multiple entries from an individual account. The distribution of the questionnaire was conducted through the outreach of social media platforms, e-mail, and standard messaging services. Clear instructions with the google form were provided to ensure the respondent must be a student.

2.1. Study design

A web-based survey was conducted to students through the medium of Google online platforms from July 13 to July 17, 2020. The online survey questionnaire contained four subgroups:

Participants were asked to describe their general demographics, such as age, the region of residence.

Information about the daily online learning routine following the transition from offline learning in educational institutions in India: average time spent for online study (hours) /day; medium for online study; average time spent for self-study (hours)/day.

Assessment of the experience of online learning to evaluate the levels of satisfaction among students.

Assessment of health due to the change in lifestyle: average time spent on sleep (hours)/day; change in weight; average time spent on fitness (hours)/day; the number of meals/days; also, we considered further questions about the medium of stress busters during the pandemic, cohesion with family members, etc.

The aim of this survey study is to investigate the impact of the COVID-19 pandemic on the education, health, and lifestyle of students from different age-groups.

2.2. Statistical analysis

In this study, we conducted a cross-sectional survey with a sample size of 1182 students from different educational institutions. A summary of demographic details in the form of numbers and percentages is provided. Mean at 95% Confidence Interval limit was calculated for learning hours for online classes and self-study, duration of sleep, time spent on fitness and sleep. Kruskal Wallis test, a non-parametric test was used to assess the significant difference in the time spent on the aforementioned activities among different age distributions. Fisher’s exact test was performed to assess the differences between respondent’s health with the variables of interest. In order to analyse the association between age categories and different variables such as change in weight, health issues faced, stress busters, etc, the Pearson Chi Square test was used. JMP Version 15.2.1 from SAS was used for analysis. A statistically significant value of P < 0.05 was considered.

2.3. Ethical consideration

The following survey was done in a properly informed set up and consent from the individuals was taken for the participation. No individual was forced against their will and no identifying information was collected.

3.1. Participants characteristics

A total of 1182 subjects from different educational institutions including schools, colleges, and universities in the Delhi-National Capital Region (NCR) participated in the online questionnaire. The demographic detail of the participants is shown in Table 1 . The mean age is 20.16 years (95% confidence interval (CI), 19.8–20.4) (range, 7–59). The age of the participants was normally distributed (‘7–17’ year old, 303; ‘18–22’ year old, 694; ‘23–59’ year old, 185). 728 (61.62%) of the respondents lived in Delhi-NCR and the rest were living outside of Delhi-NCR during the period of the pandemic.

Demographic data of the respondents to the online survey questionnaire.

3.2. Assessment of online learning

According to Table 2 , the Kruskal Wallis test was used to assess the difference in the time spent by different age categories for daily routine activities. The average time spent on online classes for students was 3.20 h/day (95% confidence interval (CI), 3.08–3.32). However, the average time spent on online classes was significantly higher for students with age group ‘7–17’ years (3.69 h/day), and lower for students with age groups, ‘18–22’ years (2.98 h/day) and ‘23–59’ years (2.66 h/day) (P < 0.0001*). Further, respondents were asked about the time they allot per day for self-study, however, there was no significant difference among different age group categories (P = 0.106). Overall, 2.91 h/day (95% CI, 2.78–3.03) was the average time spent on self-study. According to the assessment of satisfaction level among students (see Fig. 1 .a), 38.3% of students had negative response towards online classes (2.6% poor and 35.7% very poor), 33.4% considered it average while 28.4% (19.9% good and 8.5% excellent) gave a positive review. Surprisingly, the in-depth analysis showed the satisfaction levels varied significantly with different age groups. There were 51.6% (48.6% very poor and 3% poor) negative online class reviews from subjects in the ‘18–22’ age group, compared to 31.5% (29.1% very poor and 2.4% poor) negative reviews from subjects in the ‘7–17’ age group who spent more time on online classes.

Table showing how different variables (time spent on online class, self-study, fitness, sleep, and social media) changes with different age distributions.

Kruskal Wallis test was used to produce a P-value that analyzes significant difference between different age distributions. *Statistically significant (P < 0.05).

Visualizations demonstrate a) Likert analysis of Online classes for the sample and for different age categories b) Medium for the online classes b) Learning medium used by different age categories.

The respondents were further asked about the medium of their online learning (see Fig. 1 .b), 57.3% in the age group ‘7–17’ used smartphones while the majority of students from age group ‘18–22’ (56.4%) and age group ‘23–59’ (57.8%) used laptop/desktop for study. However, only a small portion of the total students (3.1%, n = 37) used tablet. With regard to the time spent in online classes, there was a statistically significant difference between the various mediums used (P = 0.0002). As shown in Table 3 , 4.29 h/day (95% CI, 3.63–4.96) was the average time spent on online classes using tablets, 3.43 h/day (95% CI, 3.25–3.61) when using laptop/desktop, and 3.06 h/day (95% CI, 2.90–3.23) when using smartphones.

Time spent on online classes using different learning medium.

Statistically significant (P < 0.05).

3.3. Assessment of health in educational institutions

Among the respondents from different age groups (see Fig. 2 ), 13.6% (n = 160) faced health-related issues during the period of nationwide travel restrictions. Further respondents were asked about the change in body weight within this period, 37.1% reported an increase in weight, 17.7% reported a decrease in weight, and 45.3% reported no change in weight. When asked whether they are satisfied with their utilization of time, the majority of respondents (51.4%, n = 608) answered in ‘NO’, and the rest (n = 575) answered with ‘YES’. Also, 70.3% of the respondents stated that they were socially connected with their family members.

Visualizations demonstrate a) Pie Chart for Likert questions: whether the respondent faced health issues; whether the respondent utilized the time efficiently; whether the respondent is socially well connected. b) Stacked bar chart to analyze the change in weight during the period of lockdown.

According to Table 4 , fisher’s exact test indicated that the respondents who were not socially well connected and believed that they did not utilize their time in lockdown, had a significant impact on their state of health. Also, in Table 5 , the Pearson Chi Square test for Likert analysis on ‘time utilized’ (P < 0.0001*), ‘health issue faced’ (P < 0.0001*), and ‘socially well connected’ (P = 0.0002*) rejected the null hypothesis that there is no association between these variables with the different distribution of age groups. To maintain a state of health and well-being, it is necessary to perform a certain amount of exercise daily. The findings of Table 2 showed that the time spent on fitness was statistically different for different age groups (P = 0.039*, Kruskal Wallis test). And, the average time spent on sleep was 7.87 h/day (95% Confidence Interval, 7.77–7.96). The differences between the age groups in terms of duration of sleep were statistically significant.

Fisher’s exact test to analyse the effect of multiple factors on health.

*Statistically significant (P < 0.05).

Pearson Chi Square test for the association between different variables and age distribution.

Further, respondents were questioned about the measures adopted to cope with the rising stress levels during the pandemic. According to the Pearson Chi Square test in Table 4 , there was a significant difference in the measures used by the different age categories. Fig. 3 shows the detailed distribution of different stress reliever activities used among different age categories.

Visualization demonstrate the distribution of stress relieving activities among different age categories.

3.4. Social media

According to Fig. 3 , a significant number of individuals from different age categories used social media as a medium for stress reliever. Further in Fig. 4 . a, the findings provide the distribution of the sample for the use of different platforms. While the majority of respondents used social media, 1.44% did not have an account on any platform. Fig. 4 . b gives the detailed distribution of platforms for age-wise groups. YouTube (39%) was the preferred platform for the age group '7–17,' followed by Whatsapp (35%) and Instagram (17%). Most of the social networking sites in India restricts individuals below 13 years of age to have an account on their platforms. However, some individuals under 13 years of age used Instagram (n = 2), Whatsapp (n = 16), and Snapchat (n = 1). For the age group ‘18-22’, Instagram (39%) was the most preferred networking site, and the respondents in the age-group ‘23-59’ preferred WhatsApp (38%).

Visualization demonstrate the distribution of preferred social media platform for a) the sample and b) among different age categories.

As shown in Table 2 , the average time spent on social media for the age group ‘7-17’ was 1.68 h/day (95% Confidence Interval, 1.52–1.85), 2.64 h/day (95% Confidence Interval, 2.50–2.78) for the age group ‘18-22’, and for the age group ‘23-59’, it was 2.37 h/day (95% Confidence Interval, 2.14–2.61). The difference between the groups was statistically different (P < 0.0001*).

4. Discussion

The outbreak of Covid-19 has upended the lives of all parts of the society. One of the most immediate changes introduced was the closure of educational institutions to slow the transmission of the virus. In order to prevent further interruption of studies, new teaching methods for the online delivery of education were introduced ( Johnson et al., 2020 , Di Pietro et al., 2020 ). However, these measures can have long-term consequences on the lives of students ( Cohen et al. 2020 ). Therefore, there is a strong need to record and study the effects of the changes being made. In this study, our aim is to analyze the impact of the COVID-19 pandemic on the education, health, social life of the students, and demonstrate results about its subsequent effect on their daily routine amid travel restrictions. The findings indicate that the time spent by students on online classes did not comply with the guidelines issued by the Ministry of Human Resources Development (MHRD) ( Department of School Education & Literacy Ministry of Human Resource Development 2020 ). Limited class interaction and inefficient time table significantly affected the satisfaction levels among students. The peer-to-peer impact in the school environment motivates individuals to work hard and learn social skills, which may not be possible in an online setting. Moreover, the biggest challenge for online learning is the requirement of efficient digital infrastructure and digital skillset for both students and teachers.

Further, this study analyses the impact of different factors to measure stress levels among students. Alarmingly, 51.4% of respondents reported that they did not utilize their time during the period of lockdown. Furthermore, sleeping habits, daily fitness routines, and social interaction significantly affected their health conditions. The government agencies imposed measures such as social distancing and restrictions on travel but they did not take into account the health implications. Although, these measures are necessary to regulate safe conditions, there is no strategy to safeguard the psychological impact due to the Covid-19 pandemic. Our research also explores the different coping mechanisms used by students of different age groups. Moreover, we analyzed various digital social media tools used by students as a self-management strategy for mental health. Our statistical analysis addresses key concerns related to online education and health due to the Covid-19 pandemic.

5. Opinions and recommendations

Once the COVID-19 pandemic ends and educational institutions re-open, the concerned authorities should continue to invest in online education to enhance learning experience. They should carefully analyze the issues experienced during sudden transition to online learning and prepare for any future situations. Proper training of educators for the digital skills and improved student-teacher interaction must be conducted. For disadvantaged students, availability of digital infrastructure with proper internet availability and access to gadgets must be ensured to avoid any disruption to their study.

Due to the situation in Covid-19, many students are likely to suffer from stress, anxiety, and depression, so it is necessary to provide emotional support to students. Future work in this direction could be to analyze the association of different stress busters on the mental health of the students. Moreover, guidelines should be created to anticipate the needs of the vulnerable student population. Improved healthcare management would ensure the delivery of mental health support.

6. Limitations

There are some limitations to our study that should be noted. The first limitation is the sampling technique used. It relies on digital infrastructure and voluntary participation that increases selection bias. The imposed travel restrictions limited the outreach to students who do not have access to online learning. Second, the study is obtained from one specific area, given the lockdown orders and the online medium of classes, we expect these results to be fairly generalizable for schools and universities nationwide. Another limitation of this study is the cross-sectional design of the survey, there was no follow-up period for the participants.

7. Conclusion

In this study, our findings indicated that the Covid-19 outbreak has made a significant impact on the mental health, education, and daily routine of students. The Covid-19 related interruptions highlight key challenges and provide an opportunity to further evaluate alternate measures in the education sector. The new policies and guidelines in this direction would help mitigate some of the negative effects and prepare educators and students for the future health crisis.

Declaration of Competing Interest

There is no conflict of interest.

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The Impact of COVID-19 on Education: A Meta-Narrative Review

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• Published: 05 July 2022
• Volume 66 , pages 883–896, ( 2022 )

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• Daniela Castellanos-Reyes   ORCID: orcid.org/0000-0002-0183-1549 7  

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The rapid and unexpected onset of the COVID-19 global pandemic has generated a great degree of uncertainty about the future of education and has required teachers and students alike to adapt to a new normal to survive in the new educational ecology. Through this experience of the new educational ecology, educators have learned many lessons, including how to navigate through uncertainty by recognizing their strengths and vulnerabilities. In this context, the aim of this study is to conduct a bibliometric analysis of the publications covering COVID-19 and education to analyze the impact of the pandemic by applying the data mining and analytics techniques of social network analysis and text-mining. From the abstract, title, and keyword analysis of a total of 1150 publications, seven themes were identified: (1) the great reset, (2) shifting educational landscape and emerging educational roles (3) digital pedagogy, (4) emergency remote education, (5) pedagogy of care, (6) social equity, equality, and injustice, and (7) future of education. Moreover, from the citation analysis, two thematic clusters emerged: (1) educational response, emergency remote education affordances, and continuity of education, and (2) psychological impact of COVID-19. The overlap between themes and thematic clusters revealed researchers’ emphasis on guaranteeing continuity of education and supporting the socio-emotional needs of learners. From the results of the study, it is clear that there is a heightened need to develop effective strategies to ensure the continuity of education in the future, and that it is critical to proactively respond to such crises through resilience and flexibility.

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Introduction

The Coronavirus (COVID-19) pandemic has proven to be a massive challenge for the entire world, imposing a radical transformation in many areas of life, including education. It was rapid and unexpected; the world was unprepared and hit hard. The virus is highly contagious, having a pathogenic nature whose effects have not been limited to humans alone, but rather, includes every construct and domain of societies, including education. The education system, which has been affected at all levels, has been required to respond to the crisis, forced to transition into emergency modes, and adapt to the unprecedented impact of the global crisis. Although the beginning of 2021 will mark nearly a year of experience in living through the pandemic, the crisis remains a phenomenon with many unknowns. A deeper and more comprehensive understanding of the changes that have been made in response to the crisis is needed to survive in these hard times. Hence, this study aims to provide a better understanding by examining the scholarly publications on COVID-19 and education. In doing this, we can identify our weaknesses and vulnerabilities, be better prepared for the new normal, and be more fit to survive.

Related Literature

Though the COVID-19 pandemic is not the first major disruption to be experienced in the history of the world, it has been unique due to its scale and the requirements that have been imposed because of it (Guitton, 2020 ). The economies of many countries have greatly suffered from the lockdowns and other restrictive measurements, and people have had to adapt to a new lifestyle, where their primary concern is to survive by keeping themselves safe from contracting the deadly virus. The education system has not been exempt from this series of unfortunate events inflicted by COVID-19. Since brick-and-mortar schools had to be closed due to the pandemic, millions of students, from those in K-12 to those in higher education, were deprived of physical access to their classrooms, peers, and teachers (Bozkurt & Sharma, 2020a , b ). This extraordinary pandemic period has posed arguably the most challenging and complex problems ever for educators, students, schools, educational institutions, parents, governments, and all other educational stakeholders. The closing of brick-and-mortar schools and campuses rendered online teaching and learning the only viable solution to the problem of access-to-education during this emergency period (Hodges et al., 2020 ). Due to the urgency of this move, teachers and instructors were rushed to shift all their face-to-face instruction and instructional materials to online spaces, such as learning management systems or electronic platforms, in order to facilitate teaching virtually at a distance. As a result of this sudden migration to learning and instruction online, the key distinctions between online education and education delivered online during such crisis and emergency circumstances have been obfuscated (Hodges et al., 2020 ).

State of the Current Relevant Literature

Although the scale of the impact of the COVID-19 global pandemic on education overshadows previously experienced nationwide or global crises or disruptions, the phenomenon of schools and higher education institutions having to shift their instruction to online spaces is not totally new to the education community and academia (Johnson et al., 2020 ). Prior literature on this subject indicates that in the past, schools and institutions resorted to online or electronic delivery of instruction in times of serious crises and uncertainties, including but not limited to natural disasters such as floods or earthquakes (e.g., Ayebi-Arthur, 2017 ; Lorenzo, 2008 ; Tull et al., 2017 ), local disruptions such as civil wars and socio-economic events such as political upheavals, social turmoils or economic recessions (e.g., Czerniewicz et al., 2019 ). Nevertheless, the past attempts to move learning and teaching online do not compare to the current efforts that have been implemented during the global COVID-19 pandemic, insofar as the past crisis situations were sporadic events in specific territories, affecting a limited population for relatively short periods of time. In contrast, the COVID-19 pandemic has continued to pose a serious threat to the continuity of education around the globe (Johnson et al., 2020 ).

Considering the scale and severity of the global pandemic, the impacts it has had on education in general and higher education in particular need to be explored and studied empirically so that necessary plans and strategies aimed at reducing its devastating effects can be developed and implemented. Due to the rapid onset and spread of the global pandemic, the current literature on the impact of COVID-19 on education is still limited, including mostly non-academic editorials or non-empirical personal reflections, anecdotes, reports, and stories (e.g., Baker, 2020 ; DePietro, 2020 ). Yet, with that said, empirical research on the impact of the global pandemic on higher education is rapidly growing. For example, Johnson et al. ( 2020 ), in their empirical study, found that faculty members who were struggling with various challenges adopted new instructional methods and strategies and adjusted certain course components to foster emergency remote education (ERE). Unger and Meiran ( 2020 ) observed that the pandemic made students in the US feel anxious about completing online learning tasks. In contrast, Suleri ( 2020 ) reported that a large majority of European higher education students were satisfied with their virtual learning experiences during the pandemic, and that most were willing to continue virtual higher education even after the pandemic (Suleri, 2020 ). The limited empirical research also points to the need for systematically planning and designing online learning experiences in advance in preparation for future outbreaks of such global pandemics and other crises (e.g., Korkmaz & Toraman, 2020 ). Despite the growing literature, the studies provide only fragmentary evidence on the impact of the pandemic on online learning and teaching. For a more thorough understanding of the serious implications the pandemic has for higher education in relation to learning and teaching online, more empirical research is needed.

Unlike previously conducted bibliometric analysis studies on this subject, which have largely involved general analysis of research on health sciences and COVID-19, Aristovnik et al. ( 2020 ) performed an in-depth bibliometric analysis of various science and social science research disciplines by examining a comprehensive database of document and source information. By the final phase of their bibliometric analysis, the authors had analyzed 16,866 documents. They utilized a mix of innovative bibliometric approaches to capture the existing research and assess the state of COVID-19 research across different research landscapes (e.g., health sciences, life sciences, physical sciences, social sciences, and humanities). Their findings showed that most COVID-19 research has been performed in the field of health sciences, followed by life sciences, physical sciences, and social sciences and humanities. Results from the keyword co-occurrence analysis revealed that health sciences research on COVID-19 tended to focus on health consequences, whereas the life sciences research on the subject tended to focus on drug efficiency. Moreover, physical sciences research tended to focus on environmental consequences, and social sciences and humanities research was largely oriented towards socio-economic consequences.

Similarly, Rodrigues et al. ( 2020 ) carried out a bibliometric analysis of COVID-19 related studies from a management perspective in order to elucidate how scientific research and education arrive at solutions to the pandemic crisis and the post-COVID-19 era. In line with Aristovnik et al.’s ( 2020 ) findings, Rodrigues et al. ( 2020 ) reported that most of the published research on this subject has fallen under the field of health sciences, leaving education as an under-researched area of inquiry. The content analysis they performed in their study also found a special emphasis on qualitative research. The descriptive and content analysis yielded two major strands of studies: (1) online education and (2) COVID-19 and education, business, economics, and management. The online education strand focused on the issue of technological anxiety caused by online classes, the feeling of belonging to an academic community, and feedback.

Lastly, Bond ( 2020 ) conducted a rapid review of K-12 research undertaken in the first seven months of the COVID-19 pandemic to identify successes and challenges and to offer recommendations for the future. From a search of K-12 research on the Web of Science, Scopus, EBSCOHost, the Microsoft Academic, and the COVID-19 living systematic map, 90 studies were identified and analyzed. The findings revealed that the reviewed research has focused predominantly on the challenges to shifting to ERE, teacher digital competencies and digital infrastructure, teacher ICT skills, parent engagement in learning, and students’ health and well-being. The review highlighted the need for straightforward communication between schools and families to inform families about learning activities and to promote interactivity between students. Teachers were also encouraged to develop their professional networks to increase motivation and support amongst themselves and to include opportunities for both synchronous and asynchronous interaction for promoting student engagement when using technology. Bond ( 2020 ) reported that the reviewed studies called for providing teachers with opportunities to further develop their digital technical competencies and their distance and online learning pedagogies. In a recent study that examines the impact of COVID-19 at higher education (Bozkurt, 2022 ), three broad themes from the body of research on this subject: (1) educational crisis and higher education in the new normal: resilience, adaptability, and sustainability, (2) psychological pressures, social uncertainty, and mental well-being of learners, and (3) the rise of online distance education and blended-hybrid modes. The findings of this study are similar to Mishra et al. ( 2021 ) who examined the COVID-19 pandemic from the lens of online distance education and noted that technologies for teaching and learning and psychosocial issues were emerging issues.

The aforementioned studies indicate that a great majority of research on COVID-19 has been produced in the field of health sciences, as expected. These studies nonetheless note that there is a noticeable shortage of studies dealing with the effects of the pandemic in the fields of social sciences, humanities, and education. Given the profound impact of the pandemic on learning and teaching, as well as on the related stakeholders in education, now more than ever, a greater amount of research on COVID-19 needs to be conducted in the field of education. The bibliometric studies discussed above have analyzed COVID-19 research across various fields, yielding a comparative snapshot of the research undertaken so far in different research spheres. However, despite being comprehensive, these studies did not appear to have examined a specific discipline or area of research in depth. Therefore, this bibliometric study aims to provide a focused, in-depth analysis of the COVID-19-related research in the field of education. In this regard, the main purpose of this study is to identify research patterns and trends in the field of education by examining COVID-19-related research papers. The study sought to answer the following research questions:

What are the thematic patterns in the title, abstract, and keywords of the publications on COVID-19 and education?

What are the citation trends in the references of the sampled publications on COVID-19 and education?

Methodology

This study used data mining and analytic approaches (Fayyad et al., 2002 ) to examine bibliometric patterns and trends. More specifically, social network analysis (SNA) (Hansen et al., 2020 ) was applied to examine the keywords and references, while text-mining was applied (Aggarwal & Zhai, 2012 ) to examine the titles and abstracts of the research corpus. Keywords represent the essence of an article at a micro level and for the analysis of the keywords, SNA was used. SNA “provides powerful ways to summarize networks and identify key people, [entities], or other objects that occupy strategic locations and positions within a matrix of links” (Hansen et al., 2020 , p. 6). In this regard, the keywords were analyzed based on their co-occurrences and visualized on a network graph by identifying the significant keywords which were demonstrated as nodes and their relationships were demonstrated with ties. For text-mining of the titles and abstracts, the researchers performed a lexical analysis that employs “two stages of co-occurrence information extraction—semantic and relational—using a different algorithm for each stage” (Smith & Humphreys, 2006 , p. 262). Thus, text-mining analysis enabled researchers to identify the hidden patterns and visualize them on a thematic concept map. For the analysis of the references, the researchers further used SNA based on the arguments that “citing articles and cited articles are linked to each other through invisible ties, and they collaboratively and collectively build an intellectual community that can be referred to as a living network, structure, or an ecology” (Bozkurt, 2019 , p. 498). The analysis of the references enabled the researchers to identify pivotal scholarly contributions that guided and shaped the intellectual landscape. The use of multiple approaches enables the study to present a broader view, or a meta-narrative.

Sample and Inclusion Criteria

The publications included in this research met the following inclusion criteria: (1) indexed by the Scopus database, (2) written in English, and (3) had the search queries on their title (Table 1 ). The search query reflects the focus on the impact of COVID-19 on education by including common words in the field like learn , teach , or student . Truncation was also used in the search to capture all relevant literature. Narrowing down the search allowed us to exclude publications that were not education related. Scopus was selected because it is one of the largest scholarly databases, and only publications in English were selected to facilitate identification of meaningful lexical patterns through text-mining and provide a condensed view of the research. The search yielded a total of 1150 papers (articles = 887, editorials = 66, notes = 58, conference papers = 56, letters = 40, review studies = 30, book chapters = 9, short surveys = 3, books = 1).

Data Analysis and Research Procedures

This study has two phases of analysis. In the first phase, text mining was used to analyze titles and abstracts, and SNA was applied to analyze keywords. By using two different analytical approaches, the authors were able to triangulate the research findings (Thurmond, 2001 ). In this phase, using lexical algorithms, text mining analysis enabled visualizing the textual data on a thematic concept map according to semantic relationships and co-occurrences of the words (Fig.  1 ). Text mining generated a machine-based concept map by analyzing the co-occurrences and lexical relationships of textual data. Then, based on the co-occurrences and centrality metrics, SNA enabled visualizing keywords on a network graphic called sociogram (Fig.  2 ). SNA allowed researchers to visually identify the key terms on a connected network graph where keywords are represented as nodes and their relationships are represented as edges. In the first phase of the study, by synthesizing outputs of the data mining and analytic approaches, meaningful patterns of textual data were presented as seven main research themes.

Thematic concept mapping of COVID-19 and education-related papers

Social networks analysis of the keywords in COVID-19 and education-related papers

In the second phase of the study, through the examination of the references and citation patterns (e.g., citing and being cited) of the articles in the research corpus, the citation patterns were visualized on a network graphic by clusters (See Fig.  3 ) showing also chronical relationships which enabled to identify pivotal COVID-19 studies. In the second phase of the study, two new themes were identified which were in line with the themes that emerged in the first phase of the study.

Social networks analysis of the references in COVID-19 and education-related papers 2019–2020 (Only the first authors were labeled – See Appendix Fig. 4 for SNA of references covering pre-COVID-19 period)

Strengths and Limitations

This study is one of the first attempts to use bibliometric approaches benefiting from data mining and analysis techniques to better understand COVID-19 and its consequences on published educational research. By applying such an approach, a large volume of data is able to be visualized and reported. However, besides these strengths, the study also has certain limitations. First, the study uses the Scopus database, which, though being one of the largest databases, does not include all types of publications. Therefore, the publications selected for this study offer only a partial view, as there are many significant publications in gray literature (e.g., reports, briefs, blogs). Second, the study includes only publications written in English, however, with COVID-19 being a global crisis, publications in different languages would provide a complementary view and be helpful in understanding local reflections in the field of education.

Findings and Discussion

Sna and text-mining: thematic patterns in the title, abstract, and keywords of the publications.

This section reports the findings based on a thematic concept map and network graphic that were developed through text mining (Fig.  1 —Textual data composed of 186.234 words visualized according to lexical relationships and co-occurrences) and sociograms created using SNA (Fig.  2 —The top 200 keywords with highest betweenness centrality and 1577 connections among them mapped on a network graph) to visualize the data. Accordingly, seven major themes were identified by analyzing the data through text-mining and SNA: (1) the great reset, (2) digital pedagogy, (3) shifting educational landscape and emerging educational roles, (4) emergency remote education, (5) pedagogy of care, (6) social equity, equality, and injustice, and (7) future of education.

Theme 1: The Great Reset (See path Fig.  1 : lockdown  +  emergency  +  community  +  challenges  +  during  >  pandemic and impact  >  outbreak  >  coronavirus  >  pandemic and global  >  crisis  >  pandemic  >  world; See nodes on Fig.  2 : Covid19, pandemic, Coronavirus, lockdown, crisis ). The first theme in the thematic concept map and network graphic is the Great Reset. It has been relatively a short time since the World Health Organization (WHO) declared the COVID-19 a pandemic. Although vaccination had already started, the pandemic continued to have an adverse impact on the world. Ever since the start of the pandemic, people were discussing when there would be a return to normal (Bozkurt & Sharma, 2020a , b ; Xiao, 2021 ); however, as time goes by, this hope has faded, and returning to normal appears to be far into the future (Schwab & Malleret, 2020 ). The pandemic is seen as a major milestone, in the sense that a macro reset in economic, social, geopolitical, environmental, and technological fields will produce multi-faceted changes affecting almost all aspects of life (Schwab & Malleret, 2020 ). The cover of an issue of the international edition of Time Magazine reflected this idea of a great reset and presented the COVID-19 pandemic as an opportunity to transform the way we live and work (Time, 2020 ). It has been argued that the pandemic will generate the emergence of a new era, and that we will have to adapt to the changes it produces (Bozkurt & Sharma, 2020 ). For example, the industrial sector quickly embraced remote work despite its challenges, and it is possible that most industrial companies will not return to the on-site working model even after the pandemic ends (Hern, 2020 ). We can expect a high rate of similar responses in other fields, including education, where COVID-19 has already reshaped our educational systems, the way we deliver education, and pedagogical approaches.

Theme 2: Digital pedagogy (See path on Fig.  1 : distance learning  >  research  >  teacher  >  development  >  need  >  training  +  technology  +  virtual  >  digital  >  communication  >  support  >  process  >  teaching  >  online  >  learning  >  online learning  +  course  >  faculty  >  students  >  experience ; See nodes on Fig.  2 : online learning, distance learning, computer-based learning, elearning, online education, distance education, online teaching, multimedia-based learning, technology, blended learning, online, digital transformation, ICT, online classes, flexible learning, technology-enhanced learning, digitalization ). Owing to the rapid transition to online education as a result of COVID-19, digital pedagogy and teachers’ competencies in information and communication technology (ICT) integration have gained greater prominence with the unprecedented challenges teachers have faced to adapt to remote teaching and learning. The COVID-19 pandemic has unquestionably manifested the need to prepare teachers to teach online, as most of them have been forced to assume ERE roles with inadequate preparation. Studies involving the use of SNA indicate a correspondence between adapting to a digital pedagogy and the need to equip teachers with greater competency in technology and online teaching (e.g., Blume, 2020 ; König et al., 2020 ). König et al. ( 2020 ) conducted a survey-based study investigating how early career teachers have adapted to online teaching during COVID-19 school closures. Their study found that while all the teachers maintained communication with students and their parents, introduced new learning content, and provided feedback, they lacked the ability to respond to challenges requiring ICT integration, such as those related to providing quality online teaching and to conducting assessments. Likewise, Blume ( 2020 ) noted that most teachers need to acquire digital skills to implement digitally-mediated pedagogy and communication more effectively. Both study findings point to the need for building ICT-related teaching and learning competencies in initial teacher education and teacher professional development. The findings from the SNA conducted in the present study are in line with the aforementioned findings in terms of keyword analysis and overlapping themes and nodes.

Theme 3: Shifting educational landscape and emerging educational roles (See path on Fig.  1 : future > education > role > Covid19; See nodes on Fig.  2 : higher education, education, student, curriculum, university, teachers, learning, professional development, teacher education, knowledge, readiness ). The role of technology in education and human learning has been essential during the COVID-19 pandemic. Technology has become a prerequisite for learning and teaching during the pandemic and will likely continue to be so after it. In the rapid shift to an unprecedented mode of learning and teaching, stakeholders have had to assume different roles in the educational landscape of the new normal. For example, in a comprehensive study involving the participation of over 30 K higher education students from 62 countries conducted by Aristovnik et al. ( 2020 ), it was found that students with certain socio-demographic characteristics (male, lower living standard, from Africa or Asia) were significantly less satisfied with the changes to work/life balance created by the COVID-19 pandemic, and that female students who were facing financial problems were generally more affected by COVID-19 in their emotional life and personal circumstances. Despite the challenges posed by the pandemic, there is likely to be carry over in the post-pandemic era of some of the educational changes made during the COVID-19 times. For example, traditional lecture-based teacher-centered classes may be replaced by more student-centered online collaborative classes (Zhu & Liu, 2020 ). This may require the development and proliferation of open educational platforms that allow access to high-quality educational materials (Bozkurt et al., 2020 ) and the adoption of new roles to survive in the learning ecologies informed by digital learning pedagogies. In common with the present study, the aforementioned studies (e.g., Aristovnik et al., 2020 ; König et al., 2020 ) call for more deliberate actions to improve teacher education programs by offering training on various teaching approaches, such as blended, hybrid, flexible, and online learning, to better prepare educators for emerging roles in the post-pandemic era.

Theme 4: Emergency remote education (see path Fig.  1 : higher education  >  university  >  student  >  experience  >  remote; See nodes on Fig.  2 : Covid19, pandemic, Coronavirus, higher education, education, school closure, emergency remote teaching, emergency remote learning ). Educational institutions have undergone a rapid shift to ERE in the wake of COVID-19 (Bozkurt & Sharma, 2020a ; Bozkurt et al., 2020 ; Hodges et al., 2020 ). Although ERE is viewed as similar to distance education, they are essentially different. That is, ERE is a prompt response measure to an emergency situation or unusual circumstances, such as a global pandemic or a civil war, for a temporary period of time, whereas distance education is a planned and systematic approach to instructional design and development grounded in educational theory and practice (Bozkurt & Sharma, 2020b ). Due to the urgent nature of situations requiring ERE, it may fall short in embracing the solid pedagogical learning and teaching principles represented by distance education (Hodges et al., 2020 ). The early implementations of ERE primarily involved synchronous video-conferencing sessions that sought to imitate in-person classroom instruction. It is worth noting that educators may have heavily relied on synchronous communication to overcome certain challenges, such as the lack of available materials and planned activities for asynchronous communication. Lockdowns and school closures, which turned homes into compulsory learning environments, have posed major challenges for families and students, including scheduling, device sharing, and learner engagement in a socially distanced home learning environment (Bond, 2020 ). For example, Shim and Lee ( 2020 ) conducted a qualitative study exploring university students’ ERE experiences and reported that students complained about network instability, unilateral interactions, and reduced levels of concentration. The SNA findings clearly highlight that there has been a focus on ERE due to the school closures during the COVID-19 pandemic. It is key to adopt the best practices of ERE and to utilize them regularly in distance education (Bozkurt, 2022 ). Moreover, it is important to note that unless clear distinctions are drawn between these two different forms of distance education or virtual instruction, a series of unfortunate events in education during these COVID-19 times is very likely to take place and lead to fatal errors in instructional practices and to poor student learning outcomes.

Theme 5: Pedagogy of care (See path Fig.  1 : r ole  >  education  >  Covid19  >  care ; See nodes on Fig.  2 : Stress, anxiety, student wellbeing, coping, care, crisis management, depression ). The thematic concept map and network graphic show the psychological and emotional impact of the COVID-19 pandemic on various stakeholders, revealing that they have experienced anxiety, expressed the need for care, and sought coping strategies. A study by Baloran ( 2020 ), conducted in the southern part of the Philippines to examine college students’ knowledge, attitudes, anxiety, and personal coping strategies during the COVID-19 pandemic, found that the majority of the students experienced anxiety during the lockdown and worried about food security, financial resources, social contact, and large gatherings. It was reported that the students coped with this anxiety by following protective measures, chatting with family members and friends, and motivating themselves to have a positive attitude. In a similar study, Islam et al. ( 2020 ) conducted an investigation to determine whether Bangladeshi college students experienced anxiety and depression and the factors responsible for these emotional responses. Their cross-sectional survey-based study found that a large percentage of the participants had suffered from anxiety and depression during the pandemic. Academic and professional uncertainty, as well as financial insecurity, have been documented as factors contributing to the anxiety and depression among college students. Both studies point to the need for support mechanisms to be established by higher education institutions in order to ensure student wellbeing, provide them with care, and help them to cope with stress, anxiety, and depression. Talidong and Toquero ( 2020 ) reported that, in addition to students’ well-being and care, teachers’ perceptions and experiences of stress and anxiety during the quarantine period need to be taken into account. The authors found that teachers were worried about the safety of their loved ones and were susceptible to anxiety but tended to follow the preventive policies. A pedagogy of care has been presented as an approach that would effectively allow educators to plan more supportive teaching practices during the pandemic by fostering clear and prompt communication with students and their families and taking into consideration learner needs in lesson planning (e.g., Karakaya, 2021 ; Robinson et al., 2020 ). Here it is important to stress that a pedagogy of care is a multifaceted concept, one that involves the concepts of social equity, equality, and injustice.

Theme 6: Social equity, equality, and injustice (See path on Fig.  1 : Impact  >  outbreak  >  coronavirus  >  pandemic  >  social ; See nodes on Fig.  2 : Support, equity, social justice, digital divide, inequality, social support ). One of the more significant impacts of COVID-19 has been the deepening of the existing social injustices around the world (Oldekop et al., 2020 ; Williamson et al., 2020 ). Long-term school closures have deteriorated social bonds and adversely affected health issues, poverty, economy, food insecurity, and digital divide (Van Lancker & Parolin, 2020 ). Regarding the digital divide, there has been a major disparity in access to devices and data connectivity between high-income and low-income populations increasing the digital divide, social injustice, and inequality in the world (Bozkurt et al., 2020 ). In line with the SNA findings, the digital divide, manifesting itself most visibly in the inadequacy and insufficiency of digital devices and lack of high-speed Internet, can easily result in widespread inequalities. As such, the disparities between low and high socio-economic status families and school districts in terms of digital pedagogy inequality may deepen as teachers in affluent schools are more likely to offer a wide range of online learning activities and thereby secure better student engagement, participation, and interaction (Greenhow et al., 2020 ). These findings demonstrate that social inequities have been sharpened by the unfortunate disparities imposed by the COVID-19, thus requiring us to reimagine a future that mitigates such concerns.

Theme 7: Future of education (See word path on Fig.  1 : Future  >  education  >  Covid19  >  pandemic  >  changes and pandemic  >  coronavirus, outbreak, impact  >  world ; See nodes on Fig.  2 : Sustainability, resilience, uncertainty, sdg4). Most significantly, COVID-19 the pandemic has shown the entire world that teachers and schools are invaluable resources and execute critical roles in society. Beyond that, with the compulsory changes resulting from the pandemic, it is evident that teaching and learning environments are not exclusive to brick-and-mortar classrooms. Digital technologies, being at the center of teaching and learning during the pandemic period, have been viewed as a pivotal agent in leveraging how learning takes place beyond the classroom walls (Quilter-Pinner & Ambrose, 2020 ). COVID-19 has made some concerns more visible. For example, the well-being of students, teachers, and society at large has gained more importance in these times of crisis. Furthermore, the need for educational technology and digital devices has compounded and amplified social inequities (Pelletier et al., 2021 ; West & Allen, 2020 ). Despite its global challenges, the need for technology and digital devices has highlighted some advantages that are likely to shape the future of education, particularly those related to the benefits of educational technology. For example, online learning could provide a more flexible, informal, self-paced learning environment for students (Adedoyin & Soykan, 2020 ). However, it also bears the risk of minimizing social interaction, as working in shared office environments has shifted to working alone in home-office settings. In this respect, the transformation of online education must involve a particular emphasis on sustaining interactivity through technology (Dwivedi et al., 2020 ). In view of the findings of the aforementioned studies, our text-mining and SNA findings suggest that the COVID-19 impositions may strongly shape the future of education and how learning takes place.

In summary, these themes extracted from the text-mining and SNA point to a significant milestone in the history of humanity, a multi-faceted reset that will affect many fields of life, from education and economics to sociology and lifestyle. The resulting themes have revealed that our natural response to an emerging worldwide situation shifted the educational landscape. The early response of the educational system was emergency-based and emphasized the continuance of in-person instruction via synchronous learning technologies. The subsequent response foregrounded the significance of digitally mediated learning pedagogy, related teacher competencies, and professional development. As various stakeholders (e.g., students, teachers, parents) have experienced a heightened level of anxiety and stress, an emerging strand of research has highlighted the need for care-based and trauma-informed pedagogies as a response to the side effects of the pandemic. In addition, as the global pandemic has made systemic impairments, such as social injustice and inequity, more visible, an important line of research has emerged on how social justice can be ensured given the challenges caused by the pandemic. Lastly, a sizable amount of research indicates that although the COVID-19 pandemic has imposed unprecedented challenges to our personal, educational, and social lives, it has also taught us how to respond to future crises in a timely, technologically-ready, pedagogically appropriate, and inclusive manner.

SNA: Citation Trends in the References of the Sampled Publications

The trends identified through SNA in citation patterns indicate two lines of thematic clusters (see Fig.  3 -A network graph depicting the citing and being cited patterns in the research corpus. Node sizes were defined by their citation count and betweenness centrality.). These clusters align with the results of the analysis of the titles, abstracts, and keywords of the sampled publications and forge the earlier themes (Theme 4: Emergency remote education and Theme 5: Pedagogy of care).

Thematic Cluster 1: The first cluster centers on the abilities of educational response, emergency remote education affordances, and continuity of education (Bozkurt & Sharma, 2020a ; Crawford et al., 2020 ; Hodges et al., 2020 ) to mitigate the impact of COVID-19 on education, especially for more vulnerable and disadvantaged groups (UNESCO, 2020 ; Viner et al., 2020 ). The thematic cluster one agrees with the theme four emergency remote education . The first trend line (See red line in Fig.  3 ) shows that the education system is vulnerable to external threats. Considering that interruption of education is not exclusive to pandemics – for example, political crises have also caused disruptions (Rapp et al., 2016 ) – it is clear that coping mechanisms are needed to ensure the continuity of education under all conditions. In this case, we need to reimagine and recalibrate education to make it resilient, flexible, and adaptive, not only to ensure the continuity of education, but also to ensure social justice, equity, and equality. Given that online education has its own limitations (e.g., it is restricted to online tools and infrastructures), we need to identify alternative entry points for those who do not have digital devices or lack access to the internet.

Thematic Cluster 2: The second cluster centers on the psychological impact of COVID-19 on learners, who during these times suffered a sense of uncertainty (Bozkurt, & Sharma, 2021 ; Cao et al., 2020 ; Rose, 2020 ; Sahu, 2020 ) which suggest that learners are experiencing difficult times that can result in psychological and mental problems. The thematic cluster two agrees with theme five which is pedagogy of care . Therefore, it can be argued that learners' psychological and emotional states should be a top priority. Brooks et al. ( 2020 ) reported the potential of post-traumatic issues with long-lasting effects, on top of the trauma that has already been suffered during the COVID-19 pandemic. In other words, the effects of the COVID-19 crisis may prove to extend beyond their current state and add long-term challenges. Additionally, it has further been reported that the socio-economic effects of the pandemic (Nicola et al., 2020 ) may cause inequality and inequity in educational communities (Beaunoyer et al., 2020 ). The research also shows that learners’ achievement gaps are positively associated with psychological issues, while support and care are negatively associated with their traumatic states (Cao et al., 2020 ). In this context, the second thematic cluster reveals that researchers have seriously considered the psychological and emotional needs of learners in their publications. Care (Noddings, 1984 ) and that trauma-informed pedagogy (Imad, 2020 ) can be a guideline during and after the COVID-19 pandemic. It is quite clear that learners have experienced educational loss (e.g., drop-outs, achievement gaps, academic procrastination, etc.), as well as social and emotional impairments (e.g., fear, frustration, confusion, anxiety, sense of isolation, death of loved ones, etc.). Therefore, we need to critically approach the situation, focusing first on healing our social and emotional losses, and then, on the educational losses. As Bozkurt and Sharma ( 2020a ) put it:

“What we teach in these times can have secondary importance. We have to keep in mind that students will remember not the educational content delivered, but how they felt during these hard times. With an empathetic approach, the story will not center on how to successfully deliver educational content, but it will be on how learners narrate these times” (p. iv).

Conclusion and Suggestions

The results from this study indicate that quick adaptability and flexibility have been key to surviving the substantial challenges generated by COVID-19. However, extreme demands on flexibility have taken a toll on human well-being and have exacerbated systemic issues like inequity and inequality. Using data mining that involved network analysis and text mining as analytical tools, this research provides a panoramic picture of the COVID-19-related themes educational researchers have addressed in their work. A sample of 1150 references yielded seven themes, which served to provide a comprehensive meta-narrative about COVID-19 and its impact on education.

A portion of the sampled publications focused on what we refer to as the great reset , highlighting the challenges that the emergency lockdown brought to the world. A publication pattern centered around digital pedagogy posited distance and online learning as key components and identified the need for teacher training. Given the need for adaptability, a third theme revealed the demand for professional development in higher education and a future shift in educational roles. It can be recommended that future research investigate institutional policy changes and the adaptation to these changes in renewed educational roles. The ERE theme centered on the lack of preparation in instituting the forced changes brought about by the COVID-19 pandemic. The publications related to this theme revealed that the COVID-19 pandemic uncovered silent threads in educational environments, like depression, inequality, and injustice. A pedagogy of care has been developed with the aim of reducing anxiety and providing support through coping strategies. These research patterns indicate that the future of education demands sustainability and resilience in the face of uncertainty.

Results of the thematic analysis of citation patterns (Fig.  3 ) overlapped with two of the themes found in our thematic concept map (Fig.  1 ) and network graphic (Fig.  2 ). It was shown that researchers have emphasized the continuity of education and the psychological effects of the COVID-19 crisis on learners. Creating coping strategies to deal with global crises (e.g., pandemics, political upheavals, natural disasters) has been shown to be a priority for educational researchers. The pedagogy of resilience (Purdue University Innovative learning, n.d. ) provides governments, institutions, and instructors with an alternative tool to applying to their contexts in the face of hardship. Furthermore, prioritizing the psychological long-term effects of the crisis in learners could alleviate achievement gaps. We recommend that researchers support grieving learners through care (Noddings, 1984 ) and trauma-informed pedagogy (Imad, 2020 ). Our resilience and empathy will reflect our preparedness for impending crises. The thematic analysis of citation patterns (1: educational response, emergency remote education affordances, and continuity of education; 2: psychological impact of COVID-19) further indicates suggestions for future instructional/learning designers. Freire ( 1985 ) argues that to transform the world we need to humanize it. Supporting that argument, the need for human-centered pedagogical approaches (Robinson et al., 2020 ) by considering learning a multifaceted process (Hodges et al., 2021 ) for well-designed learning experiences (Moore et al., 2021 ) is a requirement and instructional/learning designers have an important responsibility not only to design courses but an entire learning ecosystem where diversity, sensitivity, and inclusivity are prioritized.

ERE is not a representative feature in the field of online education or distance education but rather, a forced reaction to extraordinary circumstances in education. The increasing confusion between the practice of ERE and online learning could have catastrophic consequences in learners' outcomes, teachers' instructional practices, and institutional policies. Researchers, educators, and policymakers must work cooperatively and be guided by sound work in the field of distance learning to design nourishing educational environments that serve students’ best interests.

In this study, text mining and social network analysis were demonstrated to be powerful tools for exploring and visualizing patterns in COVID-19-related educational research. However, a more in-depth examination is still needed to synthesize effective strategies that can be used to support us in future crises. Systematic reviews that use classical manual coding techniques may take more time but increase our understanding of a phenomenon and help us to develop specific action plans. Future systematic reviews can use the seven themes identified in this study to analyze primary studies and find strategies that counteract the survival of the fittest mindset to ensure that no student is left behind.

Data Availability

The dataset is available from the authors upon request.

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Acknowledgements

This paper is dedicated to all educators and instructional/learning designers who ensured the continuity of education during the tough times of the COVID-19 pandemic.

This article is produced as a part of the 2020 AECT Mentoring Program.

This paper is supported by Anadolu University, Scientific Research Commission with grant no: 2106E084.

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Bozkurt, A., Karakaya, K., Turk, M. et al. The Impact of COVID-19 on Education: A Meta-Narrative Review. TechTrends 66 , 883–896 (2022). https://doi.org/10.1007/s11528-022-00759-0

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How COVID-19 caused a global learning crisis

Executive summary.

In our latest report on unfinished learning, we examine the impact of the COVID-19 pandemic on student learning and well-being, and identify potential considerations for school systems as they support students in recovery and beyond. Our key findings include the following:

• The length of school closures varied widely across the world. School buildings in middle-income Latin America and South Asia were fully or partially closed the longest—for 75 weeks or more. Those in high-income Europe and Central Asia were fully or partially closed for less time (30 weeks on average), as were those in low-income sub-Saharan Africa (34 weeks on average).

About the authors

This article is a collaborative effort by Jake Bryant , Felipe Child , Emma Dorn , Jose Espinosa, Stephen Hall , Topsy Kola-Oyeneyin , Cheryl Lim, Frédéric Panier, Jimmy Sarakatsannis , Dirk Schmautzer , Seckin Ungur , and Bart Woord, representing views from McKinsey’s Education Practice.

• Access to quality remote and hybrid learning also varied both across and within countries. In Tanzania, while school buildings were closed, children in just 6 percent of households listened to radio lessons, 5 percent accessed TV lessons, and fewer than 1 percent participated in online learning. 1 Jacobus Cilliers and Shardul Oza, “What did children do during school closures? Insights from a parent survey in Tanzania,” Research on Improving Systems of Education (RISE), May 19, 2021.
• Furthermore, pandemic-related learning delays stack up on top of historical learning inequities. The World Bank estimates that while students in high-income countries gained an average of 50 harmonized learning outcomes (HLO) points a year prepandemic, students in low-income countries were gaining just 20, leaving those students several years behind. 2 Noam Angrist et al., “Measuring human capital using global learning data,” Nature , March 2021, Volume 592.
• High-performing systems, with relatively high levels of pre-COVID-19 performance, where students may be about one to five months behind due to the pandemic (for example, North America and Europe, where students are, on average, four months behind).
• Low-income prepandemic-challenged systems, with very low levels of pre-COVID-19 learning, where students may be about three to eight months behind due to the pandemic (for example, sub-Saharan Africa, where students are on average six months behind).
• Pandemic-affected middle-income systems, with moderate levels of pre-COVID-19 learning, where students may be nine to 15 months behind (for example, Latin America and South Asia, where students are, on average, 12 months behind).
• The pandemic also increased inequalities within systems. For example, it widened gaps between majority Black and majority White schools in the United States and increased preexisting urban-rural divides in Ethiopia.
• Beyond learning, the pandemic has had broader social and emotional impacts on students globally—with rising mental-health concerns, reports of violence against children, rising obesity, increases in teenage pregnancy, and rising levels of chronic absenteeism and dropouts.
• Lower levels of learning translate into lower future earnings potential for students and lower economic productivity for nations. By 2040, the economic impact of pandemic-related learning delays could lead to annual losses of $1.6 trillion worldwide, or 0.9 percent of total global GDP.
• Resilience: Safely reopen schools for in-person learning while ensuring resilience for future disruptions.
• Reenrollment: Encourage students, families, and teachers to reengage with learning in effective learning environments.
• Recovery: Support students as they recover from the academic and social-emotional impacts of the pandemic, starting with an understanding of each student’s needs.
• Reimagining: Recommit to quality education for every child, doubling down on the fundamentals of educational excellence and innovating to adapt.

In some parts of the world, students, parents, and teachers may be experiencing a novel feeling: cautious optimism. After two years of disruptions from COVID-19, the overnight shift to online and hybrid learning, and efforts to safeguard teachers, administrators, and students, cities and countries are seeing the first signs of the next normal. Masks are coming off. Events are being held in person. Extracurricular activities are back in full swing.

These signs of hope are counterbalanced by the lingering, widespread impact of the pandemic. While it’s too early to catalog all of the ways students have been affected, we are starting to see initial indications of the toll COVID-19 has taken on learning around the world. Our analysis of available data found no country was untouched, but the impact varied across regions and within countries. Even in places with effective school systems and near-universal connectivity and device access, learning delays were significant, especially for historically vulnerable populations. 3 Emma Dorn, Bryan Hancock, Jimmy Sarakatsannis, and Ellen Viruleg, “ COVID-19 and education: An emerging K-shaped recovery ,” McKinsey, December 14, 2021. In many countries that had poor education outcomes before the pandemic, the setbacks were even greater. In those countries, an even more ambitious, coordinated effort will likely be required to address the disruption students have experienced.

Our analysis highlights the extent of the challenge and demonstrates how the impact of the pandemic on learning extends across students, families, and entire communities. Beyond the direct effect on students, learning delays have the potential to affect economic growth: by 2040, according to McKinsey analysis, COVID-19-related unfinished learning could translate into $1.6 trillion in annual losses to the global economy.

Acting decisively in the near term could help to address learning delays as well as the broader social, emotional, and mental-health impact on students. In mobilizing to respond to the pandemic’s effect on student learning and thriving, countries also may need to reassess their education systems—what has been working well and what may need to be reimagined in light of the past two years. Our hope is that this article’s analysis provides a potential starting point for dialogue as nations seek to reinvigorate their education systems.

Gauging the pandemic’s widespread impact on education

One of the challenges in assessing the global effect of the pandemic on learning is the lack of data. Comparative international assessments mostly cover middle- to high-income countries and have not been carried out since the beginning of the pandemic. The next Program for International Student Assessment (PISA), for example, was delayed until 2022. 4 “PISA,” OECD, accessed March 30, 2022. Similarly, many countries had to cancel or defer national assessments. As a result, few nations have a complete data set, and many have no assessment data to indicate relative learning before and since school closures. Accordingly, our methodology used available data augmented by informed assumptions to get a directional picture of the pandemic’s effects on the scholastic achievement and well-being of students.

The pandemic’s impact on student learning

We evaluated the potential effect of the pandemic on student learning by multiplying the amount of time school was disrupted in each country by the estimated effectiveness of the schooling students received during disruptions.

The duration of school closures ran the gamut. During the 102-week period we studied (from the onset of COVID-19 to January 2022), school buildings in Latin America, including the Caribbean, and South Asia were fully or partially closed for 75 weeks or more, while those in Europe and Central Asia were fully or partially closed for an average of 30 weeks (Exhibit 1). Schools in some regions began reopening a few months into the pandemic, but as of January 2022, more than a quarter of the world’s student population resided in school systems where schools were not yet fully open.

Remote and hybrid learning similarly varied widely across and within countries. Some students were supported by internet access, devices, learning management systems, adaptive learning software, live videoconferencing with teachers and peers, and home environments with parents or hired professionals to support remote learning. Others had access to radio or television programs, paper packages, and text messaging. Some students may not have had access to any learning options. 5 What’s next? Lessons on education recovery: Findings from a survey of ministries of education amid the COVID-19 pandemic , UNESCO, UNICEF, the World Bank, and OECD, June 2021. We used the World Bank’s estimates on “mitigation effectiveness” by country income level to account for different levels of access to learning tools and quality through the pandemic (see the forthcoming methodological appendix for more details).

Our model suggests that in the first 23 months since the start of the pandemic, students around the world may have lost about eight months of learning, on average, with meaningful disparities across and within regions and countries. For example, students in South Asia, Latin America, and the Caribbean may be more than a year behind where they would have been absent the pandemic. In North America and Europe, students might be an average of four months behind (Exhibit 2).

The regional numbers only begin to tell the full story. The greater the range of school system performance and resources across regions, the greater the variation in student experiences. Students in Japan and Australia may be less than two months behind, while students in the Philippines and Indonesia may be more than a year behind where they would have been (Exhibit 3).

Within countries, the impact of COVID-19 has also affected individual students differently. Wherever assessments have taken place since the onset of the pandemic, they suggest widening gaps in both opportunity and achievement. Historically vulnerable and marginalized students are at an increased risk of falling further behind.

In the United States, students in majority Black schools were half a year behind in mathematics and reading by fall 2021, while students in majority White schools were just two months behind. 6 “ COVID-19 and education: An emerging K-shaped recovery ,” December 14, 2021. In Ethiopia, students in rural areas achieved under one-third of the expected learning from March to October 2020, while those in urban areas learned less than half of the expected amount. 7 Research on Improving Systems of Education (RISE) , “Learning inequalities widen following COVID-19 school closures in Ethiopia,” blog entry by Janice Kim, Pauline Rose, Ricardo Sabates, Dawit Tibebu Tiruneh, and Tassew Woldehanna, May 4, 2021. Assessments in New South Wales, Australia, detected minimal impact on learning overall, but third-grade students in the most disadvantaged schools experienced two months less growth in mathematics. 8 Leanne Fray et al., “The impact of COVID-19 on student learning in New South Wales primary schools: An empirical study,” The Australian Educational Researcher , 2021, Volume 48.

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Covid-19-related losses on top of historical inequalities.

The learning crisis is not new. In the years before COVID-19, many school systems faced challenges in providing learning opportunities for many of their students. The World Bank estimates that before the pandemic, more than half of students in low- and middle-income countries were living in “learning poverty”—unable to read and understand a simple text by age ten. That number may rise as high as 70 percent due to pandemic-related school disruptions. 9 Joao Azevedo et al., “The state of the global education crisis: A path to recovery,” World Bank Group, December 3, 2021.

The World Bank’s harmonized learning outcomes (HLOs) compare learning achievement and growth across countries. This measure combines multiple global student assessments into one metric, with a range of 625 for advanced attainment and 300 for minimum attainment. According to the World Bank’s 2018 HLO database, students from some countries in the Middle East, North Africa, and South Asia were several years behind their counterparts in North America and Europe before the pandemic (Exhibit 4). 10 Data Blog , “Harmonized learning outcomes: transforming learning assessment data into national education policy reforms,” blog entry by Harry A. Patrinos and Noam Angrist, August 12, 2019.

Students in these countries were also progressing more slowly each year in school. While students in high-income countries may have been gaining 50 HLO points in a year, students in low-income countries were gaining just 20. In other words, not much learning was happening in some countries even before the pandemic.

Prepandemic learning levels and pandemic-related learning delays interacted in different ways in different countries and regions. Although each country is unique, three archetypes emerge based on the performance of education systems (Exhibit 5).

High-performing systems. Countries in this archetype generally had higher pre-COVID-19 learning levels. Systems had more capacity for remote learning, and school buildings remained closed for shorter time periods. 11 “Education: From disruption to recovery,” UNESCO, accessed March 11, 2022. Data suggest that after the initial shock of the pandemic in 2020, learning delays increased only moderately with subsequent school closures in the 2021–22 school year. Some high-income countries seem to show little evidence of decreased learning overall. According to the Australian National Assessment Program–Literacy and Numeracy (NAPLAN), the COVID-19 pandemic did not have a statistically significant impact on average student literacy and numeracy levels, even in Victoria, where learning was remote for more than 120 days. 12 “Highlights from Victorian preliminary results in NAPLAN 2021,” Victoria state government, August 26, 2021; Adam Carey, Melissa Cunningham, and Anna Prytz, “‘Children have suffered enormously’: School closures leave experts divided,” The Age , Melbourne, July 25, 2021. However, in many high-income countries, the impact of the pandemic on learning remained significant. Assessments of student learning in the United States in fall 2021 suggested students had fallen four months behind in mathematics and three months behind in reading. 13 “ COVID-19 and education: An emerging K-shaped recovery ,” December 14, 2021. Inequalities in learning also increased within many of these countries, with historically marginalized students most affected.

Lower-income, prepandemic-challenged systems. This archetype consists of mostly low-income and lower-middle-income countries with very low levels of pre-COVID-19 learning. When the pandemic struck, school buildings closed for varying periods of time, 14 “Education: From disruption to recovery,” UNESCO, accessed March 11, 2022. with limited options for remote learning. In Tanzania, for example, schools were closed for 15 weeks, and during this period, just 6 percent of households reported that their children listened to radio lessons, 5 percent watched TV lessons, and fewer than 1 percent accessed educational programs on the internet. 15 Jacobus Cilliers and Shardul Oza, “What did children do during school closures? Insights from a parent survey in Tanzania,” Research on Improving Systems of Education (RISE), May 19, 2021. Across the analyzed time period, schools in sub-Saharan Africa were fully open for more weeks, on average, than schools in any other region. As a result, the pandemic’s impact on learning was relatively muted, even though many of these systems faced challenges with effective remote learning. 16 A report of six countries in Africa, for example, found limited impact of the pandemic on already-low student outcomes. For more information, see “MILO: Monitoring impacts on learning outcomes,” UNESCO, accessed March 11, 2022.

These relatively smaller pandemic learning delays are likely due in part to the limited progress students were making in schools before COVID-19. 17 World Bank blogs , “Harmonized learning outcomes: Transforming learning assessment data into national education policy reforms,” blog entry by Harry A. Patrinos and Noam Angrist, August 12, 2019. If students weren’t progressing scholastically when schools were open, closures were likely to have less impact. In Tanzania before the pandemic, three-quarters of students in grade three could not read a basic sentence. 18 “What did children do during school closures?,” May 19, 2021.

Pandemic-affected middle-income systems. School systems in Latin American and South Asian countries had low to moderate performance before COVID-19. Many middle-income countries in this group did have some capacity to plan and roll out remote-learning options, especially in urban areas. 19 “Responses to Educational Disruption Survey (REDS),” UNESCO, accessed March 11, 2022. However, pandemic-related disruptions caused widespread school closures for extended periods of time—more than 50 weeks in some countries. 20 “Education: From disruption to recovery,” UNESCO, accessed March 11, 2022. The resulting learning delays may represent a true crisis for major economies such as India, Indonesia, and Mexico, where students are more than a year behind, on average.

While some students may have just learned more slowly than they would have absent the pandemic, others in this archetype may have actually slipped backward. A study by the Azim Premji Foundation suggests that as early as January 2021, more than 90 percent of students assessed in India have lost at least one language ability (such as reading words or writing simple sentences), while more than 80 percent lost a math ability (for example, identifying single- and double-digit numbers or naming shapes). 21 Loss of learning during the pandemic , Azim Premji Foundation, February 2021. This pattern could be particularly challenging, since higher-order skills are increasingly important in middle-income countries with rising levels of workplace automation. McKinsey’s “ Jobs lost, jobs gained ” report 22 For more information, see “ Jobs lost, jobs gained: What the future of work will mean for jobs, skills, and wages ,” McKinsey Global Institute, November 28, 2017. suggests India may need 34 million to 100 million more high school graduates by 2030 to fill workplace demands. The pandemic has put existing high school graduation rates at risk, let alone the vast expansion required to meet future demand for workers.

The pandemic’s effects beyond learning

Much of the dialogue around school systems focuses on educational achievement, but schools offer more than academic instruction. A school system’s contributions may include social interaction; an opportunity for students to build relationships with caring adults; a base for extracurricular activities, from the arts to athletics; an access point for physical- and mental-health services; and a guarantee of balanced meals on a regular basis. The school year may also enable students to track their progress and celebrate milestones. When schools had to close for extended periods of time or move to hybrid learning, students were deprived of many of these benefits.

The pandemic’s impact on the social-emotional and mental and physical health of students has been measured even less than its impact on academic achievement, but early indications are concerning. Save the Children reports that 83 percent of children and 89 percent of parents globally have reported an increase in negative feelings since the pandemic began. 23 The hidden impact of COVID-19 on child protection and wellbeing , Save the Children International, September 2020. In the United States, one in three parents said they were very or extremely worried about their child’s mental health in spring 2021, with rising reported levels of student anxiety, depression, social withdrawal, and lethargy. 24 Emma Dorn, Bryan Hancock, Jimmy Sarakatsannis, and Ellen Viruleg, “ COVID-19 and education: The lingering effects of unfinished learning ,” McKinsey, July 27, 2021. Parents of Black and Hispanic students, the segments most affected by academic unfinished learning, also reported higher rates of concern about their student’s mental health and engagement with school. A UK survey found 53 percent of girls and 44 percent of boys aged 13 to 18 had experienced symptoms or trauma related to COVID-19. 25 Report1: Impact of COVID-19 on young people aged 13-24 in the UK- preliminary findings , PsyArXiv, January 20, 2021. In Bangladesh, a cross-sectional study revealed that 19.3 percent of children suffered moderate mental-health impacts, while 7.2 percent suffered from extreme mental-health effects. 26 Rajon Banik et al., “Impact of COVID-19 pandemic on the mental health of children in Bangladesh: A cross-sectional study,” Children and Youth Services Review , October 2020, Volume 117. Reports of violence against children rose in many countries. 27 “Publications,” Young Lives, accessed March 22, 2022. The pandemic affected physical health as well. Studies from the United States 28 Roger Riddell, “CDC: Child obesity jumped during COVID-19 pandemic,” K-12 Dive , September 24, 2021. and the United Kingdom 29 The annual report of Her Majesty’s chief inspector of education, children’s services and skills 2020/21 , Ofsted, December 7, 2021. show rising rates of childhood obesity. In Latin America and the Caribbean, more than 80 million children stopped receiving hot meals. 30 “We can move to online learning, but not online eating,” United Nations World Food Program, March 26, 2020. In Uganda, a record number of monthly teenage pregnancies—more than 32,000—were recorded from March 2020 to September 2021. 31 “Uganda overwhelmed by 32,000 monthly teen pregnancies,” Yeni Şafak , December 12, 2021.

Some students may never return to formal schooling at all. Even in high-income systems, levels of chronic absenteeism are rising, and some students have not reengaged in school. In the United States, 1.7 million to 3.3 million eighth to 12th graders may drop out of school because of the pandemic. In low- and middle-income countries, the situation could be far worse. Up to one-third of Ugandan students may not return to the classroom. This pattern is in line with past historical crises involving school closures. After the Ebola pandemic, 13 percent of students in Sierra Leone and 25 percent of students in Liberia dropped out of school, with girls and low-income students most affected. 32 The socio-economic impacts of Ebola in Liberia , World Bank, April 15, 2015; The socio-economic impacts of Ebola in Sierra Leone , World Bank, June 15, 2015. Among the poorest primary-school students in Sierra Leone, dropout rates increased by more than 60 percent. 33 William C. Smith, “Consequences of school closure on access to education: Lessons from the 2013-2016 Ebola pandemic,” International Review of Education , April 2021, Volume 67. This may result in reduced employment opportunities and lifelong earnings potential for many of these students.

The potential of long-term economic damage

Education can affect not just an individual’s future earnings and well-being but also a country’s economic growth and vitality. Research suggests higher levels of education lead to increased labor productivity and enhance an economy’s capacity for innovation. Unless the pandemic’s impact on student learning can be mitigated and students can be supported to catch up on missed learning, the global economy could experience lower GDP growth over the lifetime of this generation.

We estimate by 2040, unfinished learning related to COVID-19 could translate to annual losses of $1.6 trillion to the global economy, or 0.9 percent of predicted total GDP (Exhibit 6).

Although the total dollar amount of forgone GDP is highest in the largest economies of the world (encompassing East Asia, Europe, and North America), the relative impact is highest in regions with the greatest learning delays. In Latin America and the Caribbean, pandemic-related school closures could result in losses of more than 2 percent of GDP annually by 2040 and in subsequent years.

Economic impact could be affected further if students don’t return to school and cease learning altogether.

Identifying potential solutions

The response to the learning crisis will likely vary from country to country, based upon preexisting educational performance, the depth and breadth of learning delays, and system resources and capacity to respond. That said, all school systems will likely need to plan across multiple horizons:

As 2022 began, more than 95 percent of school systems around the world were at least partially open for traditional in-person learning. 34 “Responses to Educational Disruption Survey (REDS),” UNESCO, 2022, accessed March 11, 2022. That progress is encouraging but tenuous. Many systems reopened only to close down again when another wave of COVID-19 caused additional disruptions. Even within partially open systems, not all students have access to in-person learning, and many are still attending partial days or weeks. Building resilience could mean ensuring protocols are in place for safe and supportive in-person learning, and ensuring plans are in place to provide remote options that support the whole child at the system, school, and student levels in response to future crises. School systems can also benefit by creating the flexibility to change policies and procedures as new data and circumstances arise.

COVID-19 and education: The lingering effects of unfinished learning

Reenrollment.

Opening buildings and embedding effective safety precautions have been challenging for many systems, but ensuring students and teachers actually turn up and reengage with learning is perhaps even more difficult. Even where in-person learning has resumed, many students have not returned or remain chronically absent. 35 Indira Dammu, Hailly T.N. Korman, and Bonnie O’Keefe, Missing in the margins 2021: Revisiting the COVID-19 attendance crisis , Bellwether Education Partners, October 21, 2021. Families may still have safety worries about in-person learning. Some students may have found jobs and now rely on that income. 36 Elias Biryabarema, “Student joy, dropout heartache as Uganda reopens schools after long COVID-19 shutdown,” Reuters, January 10, 2022. Others may have become pregnant or now act as caregivers at home. 37 Brookings Education Plus Development , “What do we know about the effects of COVID-19 on girls’ return to school?,” blog entry by Erin Ganju, Christina Kwauk, and Dana Schmidt, September 22, 2021. Still others may feel so far behind academically or so disconnected from the school environment at a social level that a return feels impossible. A multipronged approach could be helpful to understand the barriers students may face, how those could differ across student segments, and ways to support all students in continuing their educational journeys.

Systems could consider a tiered approach to support reengagement. Tier-one interventions could be rolled out for all students and include both improving school offerings for families and students and communicating about enhanced services. This might involve back-to-school awareness campaigns at the national and community levels featuring respected community members, clear communication of safety protocols, access to free food and other basic needs on campuses, and the promotion of a positive school climate with deep family engagement.

Tier-two interventions, which could be directed at students who are at heightened risk of not returning to school, may involve more targeted support. These efforts might include community events and canvassing to bring school buses or mobile libraries to historically marginalized neighborhoods, phone- or text-banking aimed at students who have not returned to school, or summer opportunities (including fun reorientation activities) to convince students to return to the school campus. At the student level, it could include providing some groups of students with deeper learning or social-emotional recovery services to help them reintegrate into school.

Tier-three interventions encompass more intensive and specialized support. These efforts may include visits to the homes of individual students or new educational environments tailored to student needs—for example, night schools for students who need to complete high school while working.

Once students are back in school, many may need support to recover from the academic and social-emotional effects of the pandemic. Indeed, while academic recovery seems daunting, supporting the mental-health and social-emotional needs of students may end up being the bigger challenge. 38 Protecting youth mental health: The U.S. surgeon general’s advisory , U.S. Department of Health and Human Services, 2021. This process starts with a recognition that each child is unique and that the pandemic has affected different students in different ways. Understanding each student’s situation, in terms of both learning and well-being, is important at the classroom level, with teachers and administrators trained to interpret cues from students and refer them to more intensive support when necessary. Assessments will likely also be needed at the school and system levels to plan the response.

With an understanding of both the depth and breadth of student needs, systems and schools could consider three levers of academic acceleration: more time, more dedicated attention, and more focused content. Implementation of these levers will likely vary by context, but the overall goals are the same: to overcome both historical gaps and new COVID-19-related losses, and to do so across academic and whole-child indicators.

In high-income countries, digital formative assessments could help determine in real time what students know, where they may have gaps, and what the next step could be for each child. More relational tactics can be incorporated alongside digital assessments, such as teachers taking the time to connect with each child around a simple reading assessment, which may rebuild relationships and connectivity while assessing student capabilities. Schools could also consider universal mental-health diagnostics and screeners, and train teachers and staff to recognize the signs of trauma in students.

Once schools have identified students who need academic support, proven, evidence-based solutions could support acceleration in high-income school systems. High-dosage tutoring, for example, could enable students to learn one to two additional years of mathematics in a single year. Delivered three to five times a week by trained college graduates during the school day on top of regular math instruction, this type of tutoring is labor and capital intensive but has a high return on investment. Acceleration academies, which provide 25 hours of targeted instruction in reading to small groups of eight to 12 students during vacations, have helped students gain three months of reading in just one week. Exposing students to grade-level content and providing them with targeted supports and scaffolds to access this content has improved course completion rates by two to four times over traditional “re-teaching” remediation approaches.

With an understanding of both the depth and breadth of student needs, systems and schools could consider three levers of academic acceleration: more time, more dedicated attention, and more focused content.

In low- and middle-income countries, where learning delays may have been much greater and where the financial and human-capital resources for education can be more limited, different implementation approaches may be required. Simple, fast, inexpensive, and low-stakes evaluations of student learning could be carried out at the classroom level using pen and paper, oral assessments, and mobile data collection, for example.

Solutions for supporting the acceleration of student learning in these contexts could start with ensuring foundational literacy and numeracy (FLN), prioritizing essential standards and content. Evidence-based teaching methods could speed up learning; for example, Pratham’s Teaching at the Right Level (TaRL) approach—which groups children by learning needs, rather than by age or grade, and dedicates time to basic skills with continual reassessment—has led to improvements of more than a year of learning in classrooms and summer camps. 39 Improvements of 0.2 to 0.7 standard deviations; assuming that one year of learning ranges from 0.2 of a standard deviation in low income countries and 0.5 of a standard deviation in high income countries, in accordance with World Bank assumptions:; João Pedro Azevedo et al., Simulating the potential impacts of COVID-19 school closures on schooling and learning outcomes , World Bank working paper 9284, June 2020; David K. Evans and Fei Yuan, Equivalent years of schooling , World Bank working paper 8752, February 2019. Even with the application of existing approaches, more time in class may be required—with options to extend the school year or school day to support students. Widespread tutoring may not be realistic in some countries, but peer-to-peer tutoring and cross-grade mentoring and coaching could supplement in-class efforts. 40 COVID-19 response–remediation: Helping students catch up on lost learning, with a focus on closing equity gaps , UNESCO, July 2020.

Reimagining

In addition to accelerating learning in the short term, systems can also use this moment to consider how to build better systems for the future. This may involve both recommitting to the core fundamentals of educational excellence and reimagining elements of instruction, teaching, and leadership for a post-COVID-19 world. 41 Jake Bryant, Emma Dorn, Stephen Hall, and Frédéric Panier, “ Reimagining a more equitable and resilient K-12 education system ,” McKinsey, September 8, 2020. A lot of ground could be covered by rolling out existing evidence-based interventions at scale—recommitting to core literacy and numeracy skills, high-quality instructional materials, job-embedded teacher coaching, and effective performance management. Recommitting to these basics, however, may not be enough. Systems can also innovate across multiple dimensions: providing whole-child supports, using technology to improve access and quality, moving toward competency-based learning, and rethinking teacher preparation and roles, school structures, and resource allocation.

For example, many systems are reemphasizing the importance of caring for the whole child. Integrating social-emotional learning for all students, providing trauma-informed training for teachers and staff, 42 “Welcome to the trauma-informed educator training series,” Mayerson Center for Safe and Healthy Children, accessed March 22, 2022. and providing counseling and more intensive support on and off campus for some students could provide supportive schooling environments beyond immediate crisis support. 43 “District student wellbeing services reflection tool,” Chiefs for Change, January 2022. A UNESCO survey suggests that 78 percent of countries offered psychosocial and emotional support to teachers as a response to the pandemic. 44 What’s next? Lessons on education recovery , June 2021. Looking forward, the State of California is launching a $3 billion multiyear transition to community schools, taking an integrated approach to students’ academic, health, and social-emotional needs in the context of the broader community in which those students live. 45 John Fensterwald, “California ready to launch $3 billion, multiyear transition to community schools,” EdSource, January 31, 2022.

The role of education technology in instruction is another much-debated element of reimagining. Proponents believe education technology holds promise to overcome human-capital challenges to improved access and quality, especially given the acceleration of digital adoption during the pandemic. Others point out that historical efforts to harness technology in education have not yielded results at scale. 46 Jake Bryant, Felipe Child, Emma Dorn, and Stephen Hall, “ New global data reveal education technology’s impact on learning ,” McKinsey, June 12, 2020.

Numerous experiments are under way in low- and middle-income countries where human capital  challenges are the greatest. Robust solar-powered tablets loaded with the evidence-based literacy and numeracy app one billion led to learning gains of more than four months 47 “Helping children achieve their full potential,” Imagine Worldwide, accessed March 22, 2022. in Malawi, with plans to roll out the program across the country’s 5,300 primary schools. 48 “Partners and projects,” onebillion.org, accessed March 22, 2022. NewGlobe’s digital teacher guides provide scripted lesson plans on devices designed for low-infrastructure environments. In Nigeria, students using these tools progressed twice as fast in numeracy and three times as fast in literacy as their peers. 49 “The EKOEXCEL effect,” NewGlobe Schools, accessed March 22, 2022. As new solutions are rolled out, it will likely be important to continually evaluate their impact compared with existing evidence-based approaches to retain what is working and discard that which is not.

Charting a potential path forward

There is no precedent for global learning delays at this scale, and the increasing automation of the workforce advances the urgency of supporting students to catch up to—and possibly exceed—prepandemic education levels to thrive in the global economy. Systems will likely need resources, knowledge, and organizational capacity to make progress across these priorities.

Even before COVID-19, UNESCO estimated that low- and middle-income countries faced a funding gap of $148 billion a year to reach universal preprimary, primary, and secondary education by 2030 as required by UN Sustainable Development Goal 4. As a result of the pandemic, that gap has widened to $180 billion to $195 billion a year. 50 Act now: Reduce the impact of COVID-19 on the cost of achieving SDG 4 , UNESCO, September 2020. Even if that funding gap were closed, the result would be increased enrollment, not improvements in learning. UNESCO estimates that just 3 percent of global stimulus funds related to COVID-19 have been directed to education , 97 percent of which is concentrated in high-income countries. 51 “Uneven global education stimulus risks widening learning disparities,” UNESCO, October 19, 2021.

In many countries, shortages of teachers and administrators are just as pressing as the lack of funding. Many teachers in Uganda weren’t paid during the pandemic and have found new careers. 52 Alon Mwesigwa, “’I’ll never go back’: Uganda’s schools at risk as teachers find new work during Covid,” Guardian , September 30, 2021. Even high-income countries are grappling with teacher shortages. In the United States, 40 percent of district leaders and principals describe their current staff shortages as “severe” or “very severe.” 53 Mark Lieberman, “How bad are school staffing shortages? What we learned by asking administrators,” EducationWeek , October 12, 2021. Fully addressing pandemic-related learning losses will require a full accounting of the cost and a long-term commitment, recognizing the critical importance of investments in education for future economic growth and stability.

Countries do not need to reinvent the wheel or go it alone. Many existing resources catalog evidence-based practices relevant to different contexts, both historical approaches and those specific to COVID-19 recovery. For high-income countries, the Education Endowment Foundation, Annenberg’s EdResearch for Recovery platform, and the Collaborative for Student Success resources for states and districts in the United States provide research-based guidance on solutions.

In many countries, shortages of teachers and administrators are just as pressing as the lack of funding.

For low- and middle-income countries, materials developed in partnership with UNESCO, UNICEF, and the World Bank include tools to support FLN, Continuous and Accelerated Learning, and teacher capacity (Teach and Coach). UNESCO’s COVID-19 Response Toolkit provides guidance across income levels. Collaboration across schools, regions, and countries could also promote knowledge sharing at a time of evolving needs and practices—from webinars to active communities of practice and shared-learning collaboratives.

Organizing for the response across these multiple levels is a challenge even for the most well-resourced and sophisticated systems. Our recent research found 80 percent of government efforts to transform performance don’t fully meet their objectives. 54 “ Delivering for citizens: How to triple the success rate of government transformations ,” McKinsey, May 31, 2018. Success will likely require a relentless focus on implementation and execution, with multiple feedback loops to achieve continuous learning and improvement.

The COVID-19 pandemic was indisputably a global health and economic crisis. Our research suggests it also caused an education crisis on a scale never seen before.

The pandemic also showed, however, that innovation and collaboration can arise out of hardship. The global education community has an opportunity to come together to respond, bringing evidence-based practices at scale to every classroom. Working together, donors and investors, school systems and districts, principals and teachers, and parents and families can ensure that the students who endured the pandemic are not a lost generation but are instead defined by their resilience.

Jacob Bryant is a partner in McKinsey’s Seattle office; Felipe Child is a partner in the Bogotá office, where Jose Espinosa is an associate partner; Emma Dorn is a senior expert in the Silicon Valley office; Stephen Hall is a partner in the Dubai office, where Dirk Schmautzer is a partner; Topsy Kola-Oyeneyin is a partner in the Lagos office; Cheryl Lim is a partner in the Singapore office; Frédéric Panier is a partner in the Brussels office; Jimmy Sarakatsannis is a senior partner in the Washington, DC, office; and Seckin Ungur is a partner in the Sydney office, where Bart Woord is an associate partner.

The authors wish to thank Annie Chen, Kunal Kamath, An Lanh Le, Sadie Pate, and Ellen Viruleg for their contributions to this article.

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