Notes: Data in columns (2), (3) and (8) is from IPEDS 2018. The flagship universities are the 4-year public universities with the highest number of undergraduate students in each state. Means for these columns are weighted by total number of undergraduates in each institution. ACT and SAT data are weighted averages of 2018–2015 years from IPEDS. P -value columns show the p -value of a difference in means test between the two columns indicated by the numbers in the heading.
The better performance on admission tests could be explained by the high proportion of Honors students in our sample (22% compared to 18% in the ASU population). The last four columns of Table 1 show how Honors students compare with ASU students and the average college student at a top-10 university. We see that they perform better than the average ASU student (which is expected) and just slightly worse than the average college student at a top-10 university. The share of white Honors students in our sample (60%) is higher than the proportion in the ASU population and much higher than the proportion of white students in the top-10 universities.
Overall, we believe our sample of ASU students is a reasonable representation of students at other large public schools, while the Honors students may provide insight into the experiences of students at more elite Institutions. Though, it is important to acknowledge that elite institutions may have additional resources to address a global pandemic.
We next outline a simple analytic framework that guides the empirical analysis. Let O i ( COVID – 19) be the potential outcome of individual i associated with COVID-19 treatment. We are interested in the causal impact of COVID-19 on student outcomes:
where the first term on the right-hand side is student i 's outcome in the state of the world with COVID-19, and the second term being student i 's outcome in the state of the world without COVID-19. Recovering the treatment effect at the individual level entails comparison of the individual's outcomes in two alternate states of the world. With standard data on realizations, a given individual is observed in only one state of the world (in our case, COVID – 19 = 1). The alternate outcomes are counterfactual and unobserved. A large econometric and statistics literature studies how to identify these counterfactual outcomes and moments of the counterfactual outcomes (such as average treatment effects) from realized choice data (e.g., Heckman and Vytlacil, 2005 ; Angrist and Pischke, 2009 ; Imbens and Rubin, 2015 ). Instead, the approach we use in this paper is to directly ask individuals for their expected outcomes in both states of the world. From the collected data, we can then directly calculate the individual-level subjective treatment effect. As an example, consider beliefs about end-of-semester GPA. The survey asked students “ What semester-level GPA do you expect to get at the end of this semester ?” This is the first-term on the right-hand side of Eq. (1) . The counterfactual is elicited as follows “ Were it not for the COVID-19 pandemic , what semester-level GPA would you have expected to get at the end of the semester ?”. The difference in the responses to these two questions gives us the subjective expected treatment effect of COVID-19 on the student's GPA. For certain binary outcomes in the survey, we directly ask students for the Δ i . For example, regarding graduation plans, we simply ask a student if the Δ i is positive, negative, or zero: “ How has the COVID-19 pandemic affected your graduation plan ? [ graduate later ; graduation plan unaffected ; graduate earlier ].”
The approach we use in this paper follows a small and growing literature that uses subjective expectations to understand decision-making under uncertainty. Specifically, Arcidiacono et al. (2020) and Wiswall and Zafar (2020) ask college students about their beliefs for several outcomes associated with counterfactual choices of college majors, and estimate the ex-ante treatment effects of college majors on career and family outcomes. Shapiro and Giustinelli (2019) use a similar approach to estimate the subjective ex-ante treatment effects of health on labor supply. There is one minor distinction from these papers: while these papers elicit ex-ante treatment effects, in our case, we look at outcomes that have been observed (for example, withdrawing from a course during the semester) as well as those that will be observed in the future (such as age 35 earnings). Thus, some of our subjective treatment effects are ex-post in nature while others are ex-ante.
The soundness of our approach depends on a key assumption that students have well-formed expectations for outcomes in both the realized state and the counterfactual state. Since the outcomes we ask about are absolutely relevant and germane to students, they should have well-formed expectations for the realized state. In addition, given that the counterfactual state is the one that had been the status quo in prior semesters (and so students have had prior experiences in that state of the world), their ability to have expectations for outcomes in the counterfactual state should not be a controversial assumption. 7 As evidence that students' expectations exhibit meaningful variation, Appendix Fig. A1 shows that previous cumulative GPA is a strong predictor of expected semester GPA with COVID-19.
4.1. treatment effects.
We start with the analysis of the aggregate-level treatment effects, which are presented in Table 2 . The outcomes are organized in two groups, academic and labor market (see Appendix Table A1 for a complete list of outcomes). The first two columns of the table show the average beliefs for those outcomes where the survey elicited beliefs in both states of the world. The average treatment effects shown in column (3) are of particular interest. Since we can compute the individual-level treatment effects, columns (4)–(7) of the table show the cross-sectional heterogeneity in the treatment effects.
Subjective treatment effects.
With | Without | Prop. | Prop. | 25th | 75th | ||
---|---|---|---|---|---|---|---|
COVID-19 | COVID-19 | >0 | =0 | %tile | %tile | ||
(1) | (2) | (3) | (4) | (5) | (6) | (7) | |
Likelihood of taking online classes | 0.46 | 0.50 | −0.04 | 0.31 | 0.22 | −0.20 | 0.08 |
(0.30) | (0.33) | (0.26) | |||||
Semester GPA | 3.48 | 3.65 | −0.17 | 0.07 | 0.41 | −0.30 | 0.00 |
(0.37) | (0.50) | (0.33) | |||||
Weekly study hours | 15.12 | 16.03 | −0.91 | 0.33 | 0.20 | −5.00 | 4.00 |
(10.21) | (11.55) | (8.15) | |||||
Delayed graduation (0/1) | 0.13 | 0.00 | 0.00 | ||||
(0.34) | |||||||
Withdraw from a class (0/1) | 0.11 | 0.00 | 0.00 | ||||
(0.31) | |||||||
Change major (0/1) | 0.12 | 0.00 | 0.00 | ||||
(0.33) | |||||||
Lost in-college job (0/1) | 0.29 | 0.00 | 1.00 | ||||
(0.45) | |||||||
In-college weekly hours worked | 12.97 | 24.38 | −11.64 | 0.40 | 0.21 | −22.00 | 0.00 |
(13.71) | (15.30) | (16.09) | |||||
In-college weekly earnings , | 147.73 | 237.02 | −21.27 | 0.09 | 0.52 | −1.00 | 0.00 |
(366.62) | (342.91) | (170.05) | |||||
Fam. lost job or reduce income (0/1) | 0.61 | 0.00 | 1.00 | ||||
(0.49) | |||||||
Lost job offer or internship (0/1) | 0.13 | 0.00 | 0.00 | ||||
(0.34) | |||||||
Probability of finding a Job | 55.97 | 69.36 | −13.39 | 0.13 | 0.24 | −20.00 | 0.00 |
(25.07) | (28.04) | (20.27) | |||||
Reservation waged | 48.53 | 50.53 | −1.91 | 0.09 | 0.63 | −0.08 | 0.00 |
(21.95) | (21.93) | (28.02) | |||||
Expected earnings at 35 years old | 88.18 | 91.49 | −2.34 | 0.06 | 0.65 | −0.07 | 0.00 |
(33.92) | (33.90) | (28.64) |
Notes: Δ : change. Prop. Δ >0: proportion of students for whom the individual level Δ is positive. Prop. Δ =0: proportion of students for whom the individual level Δ is zero. 25th and 75th percentiles of the cross-sectional distribution of Δ . Standard deviation in parentheses. ( ∗ : p <0.1, ∗∗ : p <0.05, ∗∗∗ : p <0.01).
We see that the average treatment effects are statistically and economically significant for all outcomes. The average impacts on academic outcomes, shown in Panel A, are mostly negative. For example, the average subjective treatment effect of COVID-19 on semester-level GPA is a decline of 0.17 points. More than 50% of the students in our sample expect a decrease in their GPA due to the treatment (versus only 7% expecting an increase). Additionally, 13% of the participants delayed their graduation, 11% withdrew from a class during the spring semester, and 12% stated that their major choice was impacted by COVID-19. 8
While almost no students report planning to drop out due to COVID-19, on average they expect to take a break from ASU in the fall 2020 semester at nearly twice the historical rate. Admittedly, the decision to take a break during a pandemic may be different than in more normal times. However, a substantial increase in the share of students failing to continue their studies is concerning, as historically 28% of students who fail to re-enroll for a fall semester do not return to ASU or another university within 5 years.
Regarding the impact of the pandemic on major choice, students who report that COVID-19 impacted their major choice were more likely to be in lower-paying majors before the pandemic; mean pre-COVID major-specific annual earnings were $43,053 ($46,943) for students whose major choice was (not) impacted by COVID-19. 9 Impacted students were also 9.3 percentage points less likely to be in a science, technology, engineering, or math (STEM) major before COVID-19. 10 We are only able to observe pre- and post-COVID major choices for the subset of students who had switched their major by the date of the survey. 11 Within this selected subsample of switchers, students chose to move into higher paying majors, with an average change in first-year earnings of $3,340. These patterns are generally consistent with the finding that students tend to gravitate towards higher-paying majors when exposed to adverse economic conditions when in college ( Blom et al., 2019 ).
An interesting and perhaps unanticipated result reported in Table 2 is that, on average, students are 4 percentage points less likely to opt for online instruction if given the choice between online and in-person instruction due to their experience with online instruction during the pandemic. 12 13 However, there is a substantial amount of variation in terms of the direction of the effect: 31% (47%) of the participants are now more (less) likely to enroll in online classes. We explore this heterogeneity in more detail in the next section, but it seems that prior experience with online classes somewhat ameliorates the negative experience; the average treatment effect for students with prior experience in online classes is a 2.4 percentage points decrease in their likelihood of enrolling in online classes, versus a 9.5 percentage points decline for their counterparts (difference statistically significant at the 0.1% level).
This large variation in the treatment effects of COVID-19 is apparent in several of the other outcomes, such as study hours, where the average treatment effect of COVID-19 on weekly study hours is −0.9 (that is, students spend 0.9 less hours studying per week due to COVID-19). The interquartile range of the across-subject treatment effect demonstrates substantial variation, with the pandemic decreasing study time by 5 hours at the 25th percentile and increasing study time by 4 hours at the 75th.
Overall, these results suggest that COVID-19 represents a substantial disruption to students' academic experiences, and is likely to have lasting impacts through changes in major/career and delayed graduation timelines. Students' negative experiences with online teaching, perhaps due to the abruptness of the transition, also has implications for the willingness of students to take online classes in the future.
Turning to Panel B in Table 2 , we see that students' current and expected labor market outcomes were substantially disrupted by COVID-19. As for the extensive margin of current employment, on average, 29% of the students lost the jobs they were working at prior to the pandemic (67% of the students were working prior to the pandemic), 13% of students had their internships or job offers rescinded, and 61% of the students reported that a close family member had lost their job or experienced an income reduction. The last statistic is in line with findings from other surveys of widespread economic disruption across the US. 14 Respondents experienced an average decrease of 11.5 hours of work per week and a 21% decrease in weekly earnings, although there was no change in weekly earnings for 52% of the sample, which again reflects substantial variation in the effects of COVID-19 across students.
In terms of labor market expectations, on average, students foresee a 13 percentage points decrease in the probability of finding a job by graduation, a reduction of 2% in their reservation wages, and a 2.3% decrease in their expected earnings at age 35.
The significant changes in reservation wages and expected earnings at age 35 demonstrate that students expect the treatment effects of COVID-19 to be long-lasting. Qualitatively, this is broadly consistent with the literature on graduating during recession. Oreopoulos et al. (2012) finds that graduating during a recession in which the unemployment rate increases 5% implies an initial loss in earnings of 9%, that decreases to 4.5% within 5 years and disappears after 10 years for a sample of male college graduates in Canada. Similarly, Schwandt and von Wachter (2019) find a 2.6% reduction in earnings 10 years after graduation for a 3-percentage point increase in unemployment at graduation, and Kahn (2010) finds an even longer-lasting effect on wages.
A large literature has investigated the impact of graduating during recessions on unemployment rates. Kahn (2010) finds that during the 1980's recession, the probability of being employed right after graduation for white males was largely unaffected by economic conditions. Altonji et al. (2016) only find what they term modest impacts. On the other hand, Rothstein (2020) finds that, for 22 to 23-year-olds graduating from college during the Great Recession, the probability of being employed decreases by 0.7 percentage point for every 1 percentage point increase in the unemployment rate. Using the estimates in Rothstein (2020) and the approximate 10 percentage point increase in the unemployment rate during April 2020, a back-of-the-envelope calculation indicates a 7 percentage point reduction in the probability of being employed for the graduating cohort in our sample. We find that students who are graduating in spring or summer 2020 expect a 35 percentage point decline in the likelihood of finding a job before graduation. While it is difficult to precisely map pre-graduation job finding rates to unemployment over the subsequent year, a 7 percentage point increase in unemployment appears low compared to the impact on students' expectations. It could be the case that the literature estimates are not appropriate for a situation as unexpected and different as a global pandemic, where the economic recession goes hand in hand with health concerns. Having said that, it could also be that students are overreacting to the COVID-19 shock. Data that tracks students' expectations and outcomes over time may be able to shed light on this.
We next explore demographic heterogeneity in the treatment effects of COVID-19. Fig. 1 plots the average treatment effects across several relevant demographic divisions including gender, race, parental education, and parental income. Honors college status and cohort are also included as interesting dimensions of heterogeneity in the COVID-19 context. The figure shows the impacts for six of the more economically meaningful outcomes from Table 2 (additional outcomes can be found in Appendix Fig. A2 ).
Treatment effects by demographic group.
(a) Delay Graduation due to COVID (0/1)
(b) Semester GPA ( Δ 0–4)
(c) Change major due to COVID (0/1)
(d) Likelihood take online classes ( Δ 0–1)
(e) Probability job before graduate ( Δ 0–1)
(f) Expected earnings at age 35 (Pct. Δ )
Notes: bars denote 90% confidence interval.
At least four patterns of note emerge from Fig. 1 . First, compared to their classmates, students from disadvantaged backgrounds (lower-income students defined as those with below-median parental income, racial minorities, and first-generation students) experienced larger negative impacts for the academic outcomes, as shown in the first three panels of the figure. 15 The trends are most striking for lower-income students, who are 55% more likely to delay graduation due to COVID-19 than their more affluent classmates (0.16 increase in the proportion of those expecting to delay graduation versus 0.10), expect 30% larger negative effects on their semester GPA due to COVID-19, and are 41% more likely to report that COVID-19 impacted their major choice (these differences are statistically significant at the 5% level). For some academic outcomes, COVID-19 had similarly disproportionate effects on nonwhite and first-generation students, with nonwhite students being 70% more likely to report changing their major preference compared to their white peers and first-generation students being 50% more likely to delay their graduation than students with college-educated parents. Thus, while on average COVID-19 negatively impacted several measures of academic achievement for all subgroups, the effects are significantly more pronounced for socioeconomic groups which were predisposed towards worse academic outcomes pre-COVID. 16 The pandemic's widening of existing achievement gaps can be seen directly in students' expected Semester GPA. Without COVID-19, lower-income students expected a 0.052 lower semester GPA than their higher-income peers. With COVID-19, this gap nearly doubles to 0.098. 17
Second, Panel (d) of Fig. 1 shows that the switch to online learning was substantially harder for some demographic groups; for example, men are 7 percentage points less likely to opt for an online version of a course as a result of COVID-19, while women do not have a statistically significant change in their online preferences. We also see that Honors students revise their preferences by more than 2.5 times the amount of non-Honors students. As we show later (in Table 4 ), these gaps persist after controlling for household income, major, and cohort, suggesting that the switch to online learning mid-semester may have been substantially more disruptive for males and Honors students. While the effect of COVID-19 on preferences for online learning looks similar for males and Honors students, our survey evidence indicates that different mechanisms underpin these shifts. Based on qualitative evidence, it appears that Honors students had a negative reaction to the transition to online learning because they felt less challenged, while males were more likely to struggle with the learning methods available through the online platform. 18 One speculative explanation for the gender difference is that consumption value of college amenities is higher for men (however, Jacob et al. (2018) , find little gender difference in willingness to pay for the amenities they consider).
Composition of COVID effects.
Delay grad due to COVID (0/100) | COVID impact major choice (0/100) | Prob take online classes ( pp) | Prob job before grad ( pp) | |||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) | (11) | (12) | (13) | (14) | (15) | (16) | (17) | (18) | (19) | (20) | |
Women | 1.80 | 0.82 | 0.20 | −0.12 | −0.09 | 3.01 | 0.08 | −0.53 | −0.71 | −0.69 | 5.61 | 3.45 | 3.65 | 3.73 | 3.70 | −1.23 | −0.64 | −0.50 | −0.31 | −0.36 |
(1.66) | (2.04) | (2.16) | (2.07) | (2.12) | (1.65) | (2.03) | (2.08) | (2.03) | (2.05) | (1.46) | (1.61) | (1.66) | (1.65) | (1.67) | (0.98) | (1.13) | (1.13) | (1.15) | (1.13) | |
Lower-income | 4.34 | 3.26 | 3.84 | 2.68 | 3.15 | 3.08 | 1.16 | 1.74 | 0.73 | 1.33 | 1.96 | 1.47 | 1.40 | 1.76 | 1.41 | −0.40 | 0.13 | −0.52 | 0.38 | −0.16 |
(1.77) | (1.94) | (1.78) | (1.85) | (1.75) | (1.61) | (1.67) | (1.63) | (1.69) | (1.71) | (1.15) | (1.24) | (1.17) | (1.25) | (1.20) | (1.02) | (1.05) | (0.99) | (1.01) | (0.96) | |
Honors | − 9.00 | − 7.41 | − 7.75 | − 6.59 | − 6.93 | − 6.36 | − 4.55 | − 4.52 | − 3.88 | − 4.09 | − 4.52 | −2.64 | −2.62 | −2.87 | −2.75 | 0.53 | − 2.18 | − 2.11 | − 2.49 | − 2.56 |
(1.76) | (1.93) | (2.00) | (1.96) | (1.98) | (1.72) | (1.78) | (1.72) | (1.73) | (1.75) | (1.44) | (1.73) | (1.75) | (1.78) | (1.79) | (1.09) | (1.02) | (1.04) | (1.06) | (1.06) | |
Student Lost Job (0/1) | 3.59 | 4.07 | −1.03 | −0.58 | − 2.78 | − 2.64 | 0.86 | 0.72 | ||||||||||||
(2.66) | (2.66) | (2.27) | (2.31) | (1.57) | (1.57) | (1.60) | (1.61) | |||||||||||||
Family Lost Income (0/1) | 2.31 | 1.77 | 1.53 | 1.01 | −1.45 | −1.30 | − 4.35 | − 4.14 | ||||||||||||
(2.27) | (2.25) | (1.66) | (1.59) | (1.47) | (1.42) | (1.38) | (1.37) | |||||||||||||
Student Change in Earnings ($) | 0.00 | 0.00 | 0.00 | 0.00 | − 0.01 | − 0.01 | 0.00 | 0.00 | ||||||||||||
(0.01) | (0.01) | (0.01) | (0.01) | (0.00) | (0.00) | (0.00) | (0.00) | |||||||||||||
Prob. miss Debt (0–1) | 17.12 | 13.74 | 15.89 | 12.76 | −2.83 | −2.37 | −4.83 | −3.71 | ||||||||||||
(4.36) | (4.40) | (3.93) | (4.02) | (2.79) | (2.67) | (3.07) | (3.00) | |||||||||||||
Principal Component | 2.85 | 1.41 | −0.26 | − 1.49 | ||||||||||||||||
(0.82) | (0.83) | (0.60) | (0.48) | |||||||||||||||||
Subjective health (1–5, 5 high) | − 2.68 | − 2.33 | −2.20 | −1.89 | 2.91 | 2.71 | 1.51 | 1.34 | ||||||||||||
(1.26) | (1.30) | (1.40) | (1.33) | (0.96) | (0.96) | (0.87) | (0.83) | |||||||||||||
Prob. hosp. if catch COVID (0–1) | 12.89 | 11.56 | 10.98 | 9.74 | 0.11 | 0.10 | − 3.99 | − 3.45 | ||||||||||||
(4.42) | (4.24) | (4.00) | (4.00) | (2.98) | (3.03) | (1.99) | (1.98) | |||||||||||||
Prob. catch COVID (0–1) | 8.24 | 6.43 | 9.52 | 7.65 | 2.73 | 3.29 | −2.41 | −1.55 | ||||||||||||
(4.02) | (3.95) | (3.78) | (3.76) | (2.88) | (2.86) | (2.36) | (2.35) | |||||||||||||
Principal component | 4.32 | 3.90 | − 1.37 | − 1.66 | ||||||||||||||||
(0.89) | (0.91) | (0.69) | (0.51) | |||||||||||||||||
Economic proxies | 0.000 | 0.002 | 0.002 | 0.031 | 0.116 | 0.166 | 0.001 | 0.003 | ||||||||||||
Health Proxies | 0.000 | 0.000 | 0.000 | 0.000 | 0.001 | 0.002 | 0.006 | 0.022 | ||||||||||||
Major FE | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
Cohort FE | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
Mean | 12.93 | 12.93 | 12.93 | 12.93 | 12.93 | 12.24 | 12.24 | 12.24 | 12.24 | 12.24 | −4.18 | −4.18 | −4.18 | −4.18 | −4.18 | −13.39 | −13.39 | −13.39 | −13.39 | −13.39 |
R | 0.020 | 0.163 | 0.164 | 0.178 | 0.172 | 0.012 | 0.194 | 0.198 | 0.206 | 0.199 | 0.021 | 0.153 | 0.157 | 0.160 | 0.152 | 0.001 | 0.237 | 0.230 | 0.243 | 0.237 |
N | 1446 | 1446 | 1446 | 1446 | 1446 | 1446 | 1446 | 1446 | 1446 | 1446 | 1446 | 1446 | 1446 | 1446 | 1446 | 1380 | 1380 | 1380 | 1380 | 1380 |
Notes: Standard errors in parentheses bootstrapped with 1000 replications. Each column reports results from a separate OLS regression of the dependent variable onto the covariates (row variables). Dependent variables measured in percentage points. ( ∗ : p <0.1, ∗∗ : p <0.05, ∗∗∗ : p <0.01).
The third trend worth highlighting from Fig. 1 is that Honors students were better able to mitigate the negative effect of COVID-19 on their academic outcomes (panels a, b, and c), despite appearing to be more disrupted by the move to online learning (panel d). Honors students report being less than half as likely as non-Honors students to delay graduation and change their major due to COVID-19. Extrapolating from these patterns provides suggestive evidence that academic impacts for students attending elite schools– the group more comparable to these Honors students– are likely to have been small relative to the impacts for the average student at large public schools.
Finally, the last two panels of Fig. 1 present the COVID effect on two labor market expectations and show much less meaningful heterogeneity across demographic groups compared to the academic outcomes in previous panels. This suggests that, while students believe COVID-19 will impact both their academic outcomes and future labor market outcomes, they do not believe there is a strong connection between these domains. Supporting this observation, the individual-specific treatment effect on semester GPA is only weakly correlated with the individual-specific treatment effects on finding a job before graduation (corr = 0.0497, p = 0.065) and expected earnings at 35 (corr = 0.0467, p = 0.077).
The one notable exception to the lack of heterogeneity in panels (e) and (f) of Fig. 1 are seniors, who on average revised their subjective probability of finding a job before graduation three times as much as other cohorts. Appendix Fig. A3 further breaks down the estimated COVID-19 effects by expected year of graduation. Perhaps unsurprisingly, the 2020 cohort expects much larger effects on immediate job market outcomes such as reservation wages and probability of finding a job before graduation. While average expected changes to job market outcomes are noisier for academically younger students, perhaps reflecting additional uncertainty about the longer-term impacts of COVID-19, they appear to anticipate meaningful changes to their future labor market prospects. Conversely, younger students also expected larger disruptions to academic outcomes such as semester GPA and study time.
This section presents mediation analysis on the drivers of the underlying heterogeneity in the treatment effects. The COVID-19 pandemic serves as both an economic and a health shock. However, these shocks may have been quite heterogeneous across the various groups, and that could partly explain the heterogeneous treatment effects we documented in the previous section.
We proxy for the financial and health shocks due to COVID-19 by relying on a small but relevant set of covariates which capture more fundamental or first-order disruptions from the pandemic. Financial shocks are characterized based on whether a student lost a job due to COVID-19, whether a student's family members lost income due to COVID-19, the change in a student's monthly earnings due to COVID-19, and the likelihood a student will fail to fully meet debt payments in the next 90 days. To measure health shocks, we consider a student's belief about the likelihood that they will be hospitalized if they contract COVID-19, a student's belief about the likelihood that they will have contracted COVID-19 by summer, and a student's subjective health assessment. Finally, in order to summarize the combined effect of each set of proxies, we construct principal component scores as one-dimensional measures of the financial and health shock to students. 19
Table 3 reports summary statistics of the different economic and health proxies by demographic group. Given the results in Fig. 1 , the remainder of the analysis will focus on three socioeconomic divisions: parental income, gender, and Honors college status. Our data indicate that lower-income students faced larger health and economic shocks as compared to their more affluent peers. In particular, they are almost 10 percentage points more likely to expect to default on their debt payments compared to their higher-income counterparts. Additionally, lower-income students are 16 percentage points more likely to have had a close family member experience an income reduction due to COVID-19. Regarding the health proxies, lower-income students rate their health as worse than higher-income students and perceive a higher probability of being hospitalized if they catch the virus. Finally, the differences in economic and health shocks between lower and higher-income students, as summarized by the principle components of the selected proxy variables, are statistically significant.
Summary statistics for economic and health proxies.
All | Lower | Higher | P-value | Honors | Not | P-value | Female | Male | P-value | |
---|---|---|---|---|---|---|---|---|---|---|
Income | Income | (2)–(3) | Honors | (5)–(6) | (8)–(9) | |||||
(1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) | |
Likelihood default in next 90 days (0–1) | 0.16 | 0.21 | 0.12 | 0.00 | 0.08 | 0.18 | 0.00 | 0.19 | 0.13 | 0.00 |
(0.26) | (0.29) | (0.23) | (0.19) | (0.28) | (0.29) | (0.24) | ||||
Student lost job (0/1) | 0.29 | 0.30 | 0.28 | 0.53 | 0.22 | 0.31 | 0.00 | 0.32 | 0.26 | 0.01 |
(0.45) | (0.46) | (0.45) | (0.41) | (0.46) | (0.47) | (0.44) | ||||
Family lost job or earnings (0/1) | 0.61 | 0.70 | 0.54 | 0.00 | 0.54 | 0.64 | 0.00 | 0.67 | 0.56 | 0.00 |
(0.49) | (0.46) | (0.50) | (0.50) | (0.48) | (0.47) | (0.50) | ||||
Student change in earnings | −89.30 | −95.40 | −84.16 | 0.36 | −49.42 | −100.72 | 0.00 | −107.27 | −71.02 | 0.00 |
(230.50) | (230.21) | (230.77) | (181.77) | (241.52) | (237.35) | (221.99) | ||||
0.00 | 0.19 | −0.16 | 0.00 | −0.37 | 0.10 | 0.00 | 0.17 | −0.18 | 0.00 | |
(1.28) | (1.27) | (1.26) | (1.07) | (1.31) | (1.30) | (1.23) | ||||
Subjective health | 3.98 | 3.88 | 4.05 | 0.00 | 4.06 | 3.95 | 0.04 | 3.90 | 4.06 | 0.00 |
(0.82) | (0.84) | (0.80) | (0.81) | (0.82) | (0.83) | (0.80) | ||||
Likelihood hospitalized if catch COVID (0–1) | 0.33 | 0.38 | 0.30 | 0.00 | 0.29 | 0.35 | 0.00 | 0.37 | 0.29 | 0.00 |
(0.28) | (0.29) | (0.27) | (0.26) | (0.29) | (0.29) | (0.27) | ||||
Likelihood catch COVID-19 by summer (0–1) | 0.30 | 0.30 | 0.30 | 0.75 | 0.29 | 0.31 | 0.17 | 0.32 | 0.29 | 0.01 |
(0.24) | (0.24) | (0.23) | (0.23) | (0.24) | (0.24) | (0.23) | ||||
0.00 | 0.18 | −0.15 | 0.00 | −0.20 | 0.06 | 0.00 | 0.18 | −0.19 | 0.00 | |
(1.15) | (1.19) | (1.09) | (1.10) | (1.16) | (1.18) | (1.09) |
Notes: P-value columns report the p-value of a difference in means test between the two columns indicated by the numbers in the heading.
Columns (5)–(7) of Table 3 show that both economic and health shocks are larger for non-Honors students. In fact, the average differences in the principal component scores for both the economic and health factors is larger for these two groups than for the income groups. Likewise, the last three columns of the table show that women experienced larger COVID-19 shocks due to economic and health factors. These differences are partly driven by the fact that, in our sample, females are more likely to report that they belong to a lower-income household than males (50% vs. 42%).
In short, Table 3 makes clear that the impacts of COVID-19 on the economic well-being and health of students have been quite heterogeneous, with lower-income and lower-ability students being more adversely affected.
To investigate the role of economic and health shocks in explaining the heterogeneous treatment effects (in Section 4.2 ), we estimate the following specification:
where Δ i is the COVID-19 treatment effect for outcome O on student i . Demog i is a vector including indicators for gender, lower-income, Honors status, and dummies for cohort year and major. FinShock i and HealthShock i are vectors containing the shock proxies or their principal component. Finally, ε i denotes an idiosyncratic shock.
The parameters of interest are α 2 and α 3 . A causal interpretation of these parameters requires FinShock i and HealthShock i to be independent of ε i . This seems unlikely in our context as unobservables correlated with FinShock i and HealthShock i may also modulate COVID-19's impact on academic outcomes. Therefore, we prefer to interpret α 2 and α 3 as simple correlations. Nevertheless, we believe this descriptive evidence can be informative from a policy perspective.
Table 4 shows estimates of Eq. (2) for four different outcomes ( Appendix Table A2 shows the estimates for additional outcomes). For each outcome, five specifications are reported ranging from controlling for only demographic variables in the first specification to controlling for both economic and health factors in the fourth specification. Finally, the last column includes only the principal component of each shock to provide insight about overall effects, given that certain shock proxies show high levels of correlation (see Appendix Table A4 for the correlations within each set of proxies).
Several important messages emerge from Table 4 . First, both shocks are (economically and statistically) significant correlates of the COVID-19 effects on students' outcomes. In particular, F-tests show that the financial and health shock proxies are jointly significant across almost all specifications. 20 This is also reflected in the statistical significance of the principal components. Moreover, the fact that the effect of key proxy variables remains robust when we simultaneously control for both shocks demonstrates the robustness of our results. For example, we find that a 50 percentage point increase in the probability of being late on debt payments is associated with an increase in the probability of delaying graduation and switching majors due to COVID-19 of 6.9 and 6.4 percentage points respectively. These effects are large given that they represent more than half of the overall COVID-19 treatment effect for these variables. Similarly, we find that an analogous increase in the probability of hospitalization if contracting COVID-19 is associated with a 6 and 5 percentage points increase in the probability of delaying graduation and switching majors due to COVID-19.
Second, in terms of labor market expectations, we find that the change in the expected probability of finding a job before graduation strongly depends on having a family member that lost income (which is also correlated with the student himself losing a job). In particular, the size of this effect represents 32% of the overall COVID-19 treatment effect. Therefore, this finding suggests that students' labor market expectations are driven in large part by personal/family experiences.
Third, although the proxies play an important role in explaining the pandemic's impact on students, there is still a substantial amount of variation in COVID-19 treatment effects left unexplained. Across the four outcomes in Table 4 , the full set of proxies explain less than a quarter of the variation in outcomes across individuals. Appendix Fig. A4 visualizes this variation by plotting the distribution of several continuous outcomes with and without controls. While the interquartile range noticeably shrinks after conditioning on the proxy variables, these plots highlight the large amount of variation in treatment effects remaining after conditioning on the proxies.
Finally, our results show that the financial and health shocks play an important role in explaining the heterogeneous effects of the COVID-19 outbreak. In particular, columns (4) and (9) demonstrate that economic and health factors together can explain approximately 40% and 70% of the income gap in COVID-19's effect on delayed graduation and changing major respectively. The gap between Honors and non-Honors students is likewise reduced by 27% and 39% for the same outcomes. Taken together, these results imply that differences in the magnitude of COVID-19's economic and health impact can explain a significant proportion of the demographic gaps in COVID-19's effect on the decision to delay graduation, the decision to change major, and preferences for online learning. These results are important and suggest that focusing on the needs of students who experienced larger financial or health shocks from COVID-19 may be an effective way to minimize the disparate disruptive effects and prevent COVID-19 from exacerbating existing achievement gaps in higher education.
This paper provides the first systematic analysis of the effects of COVID-19 on higher education. To study these effects, we surveyed 1500 students at Arizona State University, and present quantitative evidence showing the negative effects of the pandemic on students' outcomes and expectations. For example, we find that 13% of students have delayed graduation due to COVID-19. Expanding upon these results, we show that the effects of the pandemic are highly heterogeneous, with lower-income students 55% more likely to delay graduation compared to their higher-income counterparts. We further show that the negative economic and health impacts of COVID-19 have been significantly more pronounced for less advantaged groups, and that these differences can partially explain the underlying heterogeneity that we document. Our results suggest that by focusing on addressing the economic and health burden imposed by COVID-19, as measured by a relatively narrow set of mitigating factors, policy makers may be able to prevent COVID-19 from widening existing achievement gaps in higher education.
The authors declare that they have no relevant or material financial interests that relate to the research described in this paper. There are no declarations of interest.
☆ Noah Deitrick and Adam Streff provided excellent research assistance. All errors that remain are ours.
1 See, the New York Times article “ After Coronavirus , Colleges Worry : Will Students Come Back ?” (April 15, 2020) for a discussion surrounding students' demands for tuition cuts.
2 In some cases, instead of asking students for the outcomes in both states of the world, we directly ask for the difference. For example, the survey asked how the pandemic had affected the student's graduation date.
3 This approach has been used successfully in several other settings, such as to construct career and family returns to college majors ( Arcidiacono et al., 2020 ; Wiswall and Zafar, 2020 ), and the causal impact of health on retirement ( Shapiro and Giustinelli, 2019 ).
4 The income gap in GPA increased from 0.052 to 0.098 on a 4 point scale. It is significant at the 1% level in both scenarios.
5 The 64 people taking the survey at the moment the target sample size (1500) was reached were allowed to finish.
6 59% of Honors students in our sample report living on campus.
7 This is different from asking students in normal times about their expected outcomes in a state with online teaching and no campus activities (COVID-19) since most students would not have had any experience with this counterfactual prior to March this year.
8 Altonji et al. (2016) finds a small but positive effect on the probability of attending graduate school when graduating into a recession. This is suggestive evidence that students try to avoid entering the labor market when economic conditions are adverse. Our results on delayed graduation are consistent with students avoiding entering the labor market at inopportune times.
9 For this calculation, we take earnings data from the US Department of Education College Scorecard dataset. Major-specific earnings are calculated using median first-year earnings for ASU graduates in 2015 and 2016 by two-digit CIP code. Observable earnings averaged within major category.
10 STEM major designation made using two-digit CIP code and The STEM Designated Degree Program from the US Department of Homeland Security.
11 This includes 77 respondents, or 43% of those who say COVID-19 impacted their major choice.
12 The relevant survey question read: “ Suppose you are given the choice to take a course online/remote or in-person . [ Had you NOT had experience with online/remote classes this semester ], what is the percent chance that you would opt for the online/remote option ?”
13 This result is in line with a survey about eLearning experiences across different universities in Washington and New York that concludes that 75% of the students are unhappy with the quality of their classes after moving to online learning due to COVID-19.
14 According to the US Census Bureau Household Pulse Survey Week 3, 48% of the surveyed households have experienced a loss in employment income since March 13 2020.
15 The cutoff for median parental income in our sample is $80,000.
16 Based on analysis of ASU administrative data including transcripts, we find that, relative to their counterparts, first-generation, lower-income, and non-white students drop out at higher rates, take longer to graduate, have lower GPAs at graduation, and are more likely to switch majors when in college (see Appendix Table A3 ).
17 The difference is significant at 1% in both cases.
18 Honors students were as likely as non-Honors students to say that classes got easier after they went online but, conditional on saying classes got easier, were 47% more likely to say “homework/test questions got easier.” Conversely, males were marginally more likely to say classes got harder after they went online (10% more likely, p = 0.055) and, conditional on this, were 14% more likely to say that “online material is not clear”.
19 Eigenvalues indicate the presence of only one principal component for each of the shocks.
20 The only exception is the financial shock when explaining changes in the probability of taking classes online.
Expected and previous academic performance.
Notes: Figure plots mean expected GPA with COVID-19 against students' cumulative GPA up to the spring 2020 semester. The 45 degree line is also plotted for reference.
More treatment effects by demographic group.
(a) Withdrew from Class due to COVID (0/1); (b) Social Events per Week ( Δ 0–14); (c) Move in With Family due to COVID (0/1); (d) Weekly Study Hours ( Δ 0–40); (e) Reservation Wage (Pct. Δ )
Notes: Bars denote 90% confidence interval.
Cohort trends.
Notes: Figure plots average COVID-19 effects for a series of outcomes. The x-axis variable in each panel is expected academic year of graduation (after COVID), with summer graduation dates included in the previous academic year. Bars denote 90% confidence interval.
Distribution of individual effects.
Notes: Data winsorized below 5% and above 95%. Controls include cohort fixed effects, major fixed effects, and the economic/health proxies in Table 3 . Conditional distribution adjusted to preserve unconditional mean. Within each plot: middle line represents median, edges of box represent interquatile range (IQR), edge of whisker represents the adjacent values or the 25th(75th) percentile plus(minus) 1.5 times the IQR. Outlier observations past adjacent values plotted as individual points.
With | Without | Prop. | Prop. | 25th | 75th | ||
---|---|---|---|---|---|---|---|
COVID-19 | COVID-19 | >0 | =0 | %tile | %tile | ||
(1) | (2) | (3) | (4) | (5) | (6) | (7) | |
Likelihood of taking online classes | 0.46 (0.33) | 0.50 (0.30) | −0.04 (0.26) | 0.31 | 0.22 | −0.20 | 0.08 |
Semester GPA | 3.48 (0.50) | 3.65 (0.37) | −0.17 (0.33) | 0.07 | 0.41 | −0.30 | 0.00 |
Weekly study hours | 15.12 (11.55) | 16.03 (10.21) | −0.91 (8.15) | 0.33 | 0.20 | −5.00 | 4.00 |
Delayed graduation (0/1) | 0.13 (0.34) | 0.00 | 0.00 | ||||
Withdraw from a class (0/1) | 0.11 (0.31) | 0.00 | 0.00 | ||||
Change major (0/1) | 0.12 (0.33) | 0.00 | 0.00 | ||||
Time in classes | −0.10 (0.87) | 0.33 | 0.24 | −1.00 | 1.00 | ||
Time studying by myself | 0.28 (0.83) | 0.52 | 0.23 | 0.00 | 1.00 | ||
Time studying with peers | −0.75 (0.51) | 0.04 | 0.18 | −1.00 | −1.00 | ||
Lost in-college job (0/1) | 0.29 (0.45) | 0.00 | 1.00 | ||||
In-college weekly hours worked | 12.97 (15.30) | 24.38 (13.71) | −11.64 (16.09) | 0.40 | 0.21 | −22.00 | 0.00 |
In-college weekly earnings , | 147.73 (342.91) | 237.02 (366.62) | −21.27 (170.05) | 0.09 | 0.52 | −1.00 | 0.00 |
Fam. lost job or reduce income (0/1) | 0.61 (0.49) | 0.00 | 1.00 | ||||
Lost job offer or internship (0/1) | 0.13 (0.34) | 0.00 | 0.00 | ||||
Probability of finding a Job | 55.97 (28.04) | 69.36 (25.07) | −13.39 (20.27) | 0.13 | 0.24 | −20.00 | 0.00 |
Reservation waged | 48.53 (21.93) | 50.53 (21.95) | −1.91 (28.02) | 0.09 | 0.63 | −0.08 | 0.00 |
Expected earnings at 35 years old | 88.18 (33.90) | 91.49 (33.92) | −2.34 (28.64) | 0.06 | 0.65 | −0.07 | 0.00 |
Time working for pay | −0.46 (0.66) | 0.09 | 0.35 | −1.00 | 0.00 | ||
Making a lot of money | 0.26 (0.61) | 0.35 | 0.56 | 0.00 | 1.00 | ||
Being a leader in your line of work | 0.16 (0.55) | 0.24 | 0.68 | 0.00 | 0.00 | ||
Enjoying your line of work | 0.20 (0.63) | 0.32 | 0.56 | 0.00 | 1.00 | ||
Family-life Balance | 0.34 (0.63) | 0.42 | 0.49 | 0.00 | 1.00 | ||
Job security | 0.55 (0.67) | 0.66 | 0.24 | 0.00 | 1.00 | ||
Have opt. to be helpful to others | 0.38 (0.63) | 0.46 | 0.45 | 0.00 | 1.00 | ||
Have opt. to work with people | 0.08 (0.68) | 0.28 | 0.53 | 0.00 | 1.00 | ||
Number of weekly social events | 0.26 (1.28) | 4.44 (3.82) | −4.17 (3.66) | 0.01 | 0.08 | −5.00 | −2.00 |
Time on social media | 0.62 (0.61) | 0.69 | 0.24 | 0.00 | 1.00 | ||
Time news and online browsing | 0.71 (0.53) | 0.75 | 0.21 | 1.00 | 1.00 | ||
Time online entertainment | 0.74 (0.54) | 0.78 | 0.17 | 1.00 | 1.00 | ||
Time in sports and exercise | −0.46 (0.75) | 0.15 | 0.23 | −1.00 | 0.00 | ||
Time commuting | −0.89 (0.36) | 0.02 | 0.07 | −1.00 | −1.00 | ||
Time sleeping | 0.17 (0.83) | 0.44 | 0.28 | −1.00 | 1.00 |
Composition of COVID effects: more outcomes.
Expect earn at age 35 ( pp) | Res wage ( pp) | Sem GPA ( 0–4) | Withdrew class b/c COVID (0/100) | |||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) | (11) | (12) | (13) | (14) | (15) | (16) | (17) | (18) | (19) | (20) | |
Women | 0.60 | −0.08 | −0.04 | 0.07 | 0.17 | 1.90 | 2.18 | 2.18 | 2.22 | 2.33 | 0.04 | 0.03 | 0.03 | 0.03 | 0.03 | −0.02 | −0.00 | −0.01 | −0.01 | −0.01 |
(1.35) | (1.48) | (1.62) | (1.58) | (1.66) | (1.47) | (2.47) | (2.59) | (2.61) | (2.60) | (0.02) | (0.02) | (0.02) | (0.02) | (0.02) | (0.02) | (0.02) | (0.02) | (0.02) | (0.02) | |
Lower-Income | 0.56 | 1.27 | 1.18 | 1.30 | 1.46 | −0.13 | −0.02 | −0.24 | −0.11 | −0.03 | − 0.04 | −0.03 | − 0.05 | −0.03 | − 0.04 | 0.03 | 0.02 | 0.03 | 0.02 | 0.02 |
(1.62) | (1.62) | (2.11) | (1.65) | (2.11) | (1.35) | (1.58) | (1.62) | (1.77) | (1.55) | (0.02) | (0.02) | (0.02) | (0.02) | (0.02) | (0.02) | (0.02) | (0.02) | (0.02) | (0.02) | |
Honors | 4.92 | 5.53 | 5.60 | 5.47 | 5.22 | −1.17 | −0.95 | −0.90 | −0.93 | −1.13 | 0.04 | 0.04 | 0.04 | 0.03 | 0.04 | − 0.06 | − 0.06 | − 0.07 | − 0.06 | − 0.06 |
(3.04) | (3.37) | (3.24) | (3.29) | (3.15) | (1.66) | (1.84) | (1.76) | (1.84) | (1.81) | (0.02) | (0.02) | (0.02) | (0.02) | (0.02) | (0.02) | (0.02) | (0.02) | (0.02) | (0.02) | |
Student lost job (0/1) | −2.38 | −2.39 | 1.13 | 1.08 | −0.02 | −0.02 | −0.01 | −0.00 | ||||||||||||
(1.86) | (1.86) | (2.10) | (2.11) | (0.03) | (0.03) | (0.02) | (0.02) | |||||||||||||
Family lost income (0/1) | − 2.67 | −2.31 | −1.03 | −0.73 | − 0.06 | − 0.05 | 0.02 | 0.01 | ||||||||||||
(1.43) | (1.48) | (1.91) | (1.93) | (0.02) | (0.02) | (0.02) | (0.02) | |||||||||||||
Student change in earnings ($) | −0.00 | −0.00 | 0.00 | 0.00 | − 0.00 | −0.00 | −0.00 | −0.00 | ||||||||||||
(0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | |||||||||||||
Prob. miss debt (0–1) | 2.21 | 3.35 | −1.16 | −0.29 | − 0.13 | − 0.11 | ∗∗0.10 | ∗0.08 | ||||||||||||
(5.47) | (6.26) | (3.07) | (2.98) | (0.04) | (0.04) | (0.04) | (0.05) | |||||||||||||
Principal component | −0.69 | −0.28 | − 0.02 | 0.02 | ||||||||||||||||
(0.49) | (0.57) | (0.01) | (0.01) | |||||||||||||||||
Subjective health (1–5, 5 high) | 2.30 | 2.31 | 1.24 | 1.25 | 0.04 | 0.04 | − 0.02 | − 0.02 | ||||||||||||
(1.26) | (1.29) | (0.68) | (0.71) | (0.01) | (0.01) | (0.01) | (0.01) | |||||||||||||
Prob. hosp. if catch COVID (0–1) | 2.27 | 2.00 | 1.93 | 2.09 | −0.02 | −0.01 | 0.04 | 0.03 | ||||||||||||
(3.63) | (3.85) | (4.23) | (4.17) | (0.04) | (0.04) | (0.04) | (0.05) | |||||||||||||
Prob. catch COVID (0–1) | −4.49 | −4.77 | −5.64 | −5.53 | −0.05 | −0.03 | 0.06 | 0.05 | ||||||||||||
(2.84) | (3.51) | (3.55) | (3.79) | (0.04) | (0.04) | (0.04) | (0.04) | |||||||||||||
Principal component | −1.13 | −0.72 | − 0.03 | 0.02 | ||||||||||||||||
(0.86) | (0.71) | (0.01) | (0.01) | |||||||||||||||||
Economic proxies | 0.267 | 0.304 | 0.702 | 0.767 | 0.000 | 0.000 | 0.045 | 0.101 | ||||||||||||
Health proxies | 0.244 | 0.290 | 0.104 | 0.172 | 0.000 | 0.003 | 0.010 | 0.039 | ||||||||||||
Major FE | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
Cohort FE | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
Mean | −2.34 | −2.34 | −2.34 | −2.34 | −2.34 | −1.91 | −1.91 | −1.91 | −1.91 | −1.91 | −0.17 | −0.17 | −0.17 | −0.17 | −0.17 | 0.11 | 0.11 | 0.11 | 0.11 | 0.11 |
R | 0.005 | 0.046 | 0.048 | 0.051 | 0.045 | 0.001 | 0.087 | 0.089 | 0.090 | 0.087 | 0.012 | 0.169 | 0.164 | 0.177 | 0.164 | 0.010 | 0.142 | 0.141 | 0.148 | 0.146 |
N | 1435 | 1435 | 1435 | 1435 | 1435 | 1430 | 1430 | 1430 | 1430 | 1430 | 1446 | 1446 | 1446 | 1446 | 1446 | 1446 | 1446 | 1446 | 1446 | 1446 |
Notes: Standard errors in parentheses bootstrapped with 1000 replications. Each column reports results from a separate OLS regression of the dependent variable onto the covariates (row variables). Dependent variables measured in percentage points (except GPA). ( ∗ : p <0.1, ∗∗ : p <0.05, ∗∗∗ : p <0.01).
Existing achievement gaps.
Years to graduate | Cum GPA at grad | Graduate | Dropout | Ever switch major | |
---|---|---|---|---|---|
Women | 3.37 | 3.39 | 0.62 | 0.22 | 0.54 |
Men | 3.54 | 3.25 | 0.54 | 0.28 | 0.51 |
−0.16 | 0.15 | 0.08 | −0.06 | 0.02 | |
First generation | 3.49 | 3.26 | 0.49 | 0.33 | 0.52 |
Not first generation | 3.40 | 3.36 | 0.55 | 0.23 | 0.49 |
0.10 | −0.10 | −0.06 | 0.10 | 0.03 | |
Low income | 3.54 | 3.28 | 0.50 | 0.32 | 0.52 |
High income | 3.30 | 3.37 | 0.57 | 0.20 | 0.48 |
0.24 | −0.09 | −0.07 | 0.12 | 0.04 | |
Nonwhite | 3.51 | 3.25 | 0.55 | 0.29 | 0.54 |
White | 3.40 | 3.38 | 0.61 | 0.21 | 0.52 |
0.11 | −0.13 | −0.06 | 0.08 | 0.02 | |
Honors | 3.34 | 3.67 | 0.83 | 0.09 | 0.43 |
Non-honors | 3.47 | 3.25 | 0.55 | 0.27 | 0.54 |
−0.14 | 0.42 | 0.29 | −0.18 | −0.11 |
Notes: Sample includes all first time freshman at ASU's main campus who started within the last 10 years. N = 58,426. ( ∗ : p <0.1, ∗∗ : p <0.05, ∗∗∗ : p <0.01).
Correlation of shock proxies.
Student lost | Family lost | Student | Likelihood | |
Job | Income | Change in earnings | Default in next 90 days | |
Student lost job (0/1) | 1.000 | |||
Family lost income (0/1) | 0.174 | 1.000 | ||
Student change in earnings ($) | −0.572 | −0.153 | 1.000 | |
Likelihood default in next 90 days (0–1) | 0.225 | 0.176 | −0.203 | 1.000 |
Subjective | Likelihood | Likelihood | |
Health | Hospitalized if catch COVID | Catch COVID by summer | |
Subjective health (1–5, 5 High) | 1.000 | ||
Likelihood hospitalized if catch COVID (0–1) | −0.293 | 1.000 | |
Likelihood catch COVID by summer (0–1) | −0.053 | 0.093 | 1.000 |
Notes: Table reports correlation matrix for indicated variables.
In this video, Navajo student Miles Johnson shares how he experienced the stress and anxiety of schools shutting down last year. Miles’ teacher shared his experience and those of her other students in a recent piece for Education Week. In these short essays below, teacher Claire Marie Grogan’s 11th grade students at Oceanside High School on Long Island, N.Y., describe their pandemic experiences. Their writings have been slightly edited for clarity. Read Grogan’s essay .
By Kimberly Polacco, 16
I stare at my blank computer screen, trying to find the motivation to turn it on, but my finger flinches every time it hovers near the button. I instead open my curtains. It is raining outside, but it does not matter, I will not be going out there for the rest of the day. The sound of pounding raindrops contributes to my headache enough to make me turn on my computer in hopes that it will give me something to drown out the noise. But as soon as I open it up, I feel the weight of the world crash upon my shoulders.
Each 42-minute period drags on by. I spend hours upon hours staring at tiny boxes on a screen, one of which my exhausted face occupies, and attempt to retain concepts that have been presented to me through this device. By the time I have the freedom of pressing the “leave” button on my last Google Meet of the day, my eyes are heavy and my legs feel like mush from having not left my bed since I woke up.
Tomorrow arrives, except this time here I am inside of a school building, interacting with my first period teacher face to face. We talk about our favorite movies and TV shows to stream as other kids pile into the classroom. With each passing period I accumulate more and more of these tiny meaningless conversations everywhere I go with both teachers and students. They may not seem like much, but to me they are everything because I know that the next time I am expected to report to school, I will be trapped in the bubble of my room counting down the hours until I can sit down in my freshly sanitized wooden desk again.
By Nick Ingargiola, 16
My mom had COVID-19 for ten weeks. She got sick during the first month school buildings were shut. The difficulty of navigating an online classroom was already overwhelming, and when mixed with my only parent essentially on her death bed, it made it unbearable. Focusing on schoolwork was impossible, and watching my mother struggle to lift up her arm broke my heart.
My mom has been through her fair share of diseases from pancreatic cancer to seizures and even as far as a stroke that paralyzed her entire left side. It is safe to say she has been through a lot. The craziest part is you would never know it. She is the strongest and most positive person I’ve ever met. COVID hit her hard. Although I have watched her go through life and death multiple times, I have never seen her so physically and mentally drained.
I initially was overjoyed to complete my school year in the comfort of my own home, but once my mom got sick, I couldn’t handle it. No one knows what it’s like to pretend like everything is OK until they are forced to. I would wake up at 8 after staying up until 5 in the morning pondering the possibility of losing my mother. She was all I had. I was forced to turn my camera on and float in the fake reality of being fine although I wasn’t. The teachers tried to keep the class engaged by obligating the students to participate. This was dreadful. I didn’t want to talk. I had to hide the distress in my voice. If only the teachers understood what I was going through. I was hesitant because I didn’t want everyone to know that the virus that was infecting and killing millions was knocking on my front door.
After my online classes, I was required to finish an immense amount of homework while simultaneously hiding my sadness so that my mom wouldn’t worry about me. She was already going through a lot. There was no reason to add me to her list of worries. I wasn’t even able to give her a hug. All I could do was watch.
By Lynda Feustel, 16
Entering year two of the pandemic is strange. It barely seems a day since last March, but it also seems like a lifetime. As an only child and introvert, shutting down my world was initially simple and relatively easy. My friends and I had been super busy with the school play, and while I was sad about it being canceled, I was struggling a lot during that show and desperately needed some time off.
As March turned to April, virtual school began, and being alone really set in. I missed my friends and us being together. The isolation felt real with just my parents and me, even as we spent time together. My friends and I began meeting on Facetime every night to watch TV and just be together in some way. We laughed at insane jokes we made and had homework and therapy sessions over Facetime and grew closer through digital and literal walls.
The summer passed with in-person events together, and the virus faded into the background for a little while. We went to the track and the beach and hung out in people’s backyards.
Then school came for us in a more nasty way than usual. In hybrid school we were separated. People had jobs, sports, activities, and quarantines. Teachers piled on work, and the virus grew more present again. The group text put out hundreds of messages a day while the Facetimes came to a grinding halt, and meeting in person as a group became more of a rarity. Being together on video and in person was the way of staying sane.
In a way I am in a similar place to last year, working and looking for some change as we enter the second year of this mess.
By Vivian Rose, 16
I remember the moment my freshman year English teacher told me about the young writers’ conference at Bread Loaf during my sophomore year. At first, I didn’t want to apply, the deadline had passed, but for some strange reason, the directors of the program extended it another week. It felt like it was meant to be. It was in Vermont in the last week of May when the flowers have awakened and the sun is warm.
I submitted my work, and two weeks later I got an email of my acceptance. I screamed at the top of my lungs in the empty house; everyone was out, so I was left alone to celebrate my small victory. It was rare for them to admit sophomores. Usually they accept submissions only from juniors and seniors.
That was the first week of February 2020. All of a sudden, there was some talk about this strange virus coming from China. We thought nothing of it. Every night, I would fall asleep smiling, knowing that I would be able to go to the exact conference that Robert Frost attended for 42 years.
Then, as if overnight, it seemed the virus had swung its hand and had gripped parts of the country. Every newscast was about the disease. Every day in history, we would look at the reports of heightening cases and joke around that this could never become a threat as big as Dr. Fauci was proposing. Then, March 13th came around--it was the last day before the world seemed to shut down. Just like that, Bread Loaf would vanish from my grasp.
By Nick Wollweber, 17
COVID created personal problems for everyone, some more serious than others, but everyone had a struggle.
As the COVID lock-down took hold, the main thing weighing on my mind was my oldest brother, Joe, who passed away in January 2019 unexpectedly in his sleep. Losing my brother was a complete gut punch and reality check for me at 14 and 15 years old. 2019 was a year of struggle, darkness, sadness, frustration. I didn’t want to learn after my brother had passed, but I had to in order to move forward and find my new normal.
Routine and always having things to do and places to go is what let me cope in the year after Joe died. Then COVID came and gave me the option to let up and let down my guard. I struggled with not wanting to take care of personal hygiene. That was the beginning of an underlying mental problem where I wouldn’t do things that were necessary for everyday life.
My “coping routine” that got me through every day and week the year before was gone. COVID wasn’t beneficial to me, but it did bring out the true nature of my mental struggles and put a name to it. Since COVID, I have been diagnosed with severe depression and anxiety. I began taking antidepressants and going to therapy a lot more.
COVID made me realize that I’m not happy with who I am and that I needed to change. I’m still not happy with who I am. I struggle every day, but I am working towards a goal that one day every day won’t be as terrible.
Coverage of social and emotional learning is supported in part by a grant from the NoVo Foundation, at www.novofoundation.org . Education Week retains sole editorial control over the content of this coverage. A version of this article appeared in the March 31, 2021 edition of Education Week as What Life Was Like for Students in the Pandemic Year
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Persuasive Essay Guide
Persuasive Essay About Covid19
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Are you looking to write a persuasive essay about the Covid-19 pandemic?
Writing a compelling and informative essay about this global crisis can be challenging. It requires researching the latest information, understanding the facts, and presenting your argument persuasively.
But don’t worry! with some guidance from experts, you’ll be able to write an effective and persuasive essay about Covid-19.
In this blog post, we’ll outline the basics of writing a persuasive essay . We’ll provide clear examples, helpful tips, and essential information for crafting your own persuasive piece on Covid-19.
Read on to get started on your essay.
Here are the steps to help you write a persuasive essay on this topic, along with an example essay:
Your thesis statement should clearly state your position on a specific aspect of COVID-19. It should be debatable and clear. For example:
"COVID-19 vaccination mandates are necessary for public health and safety." |
Collect reliable and up-to-date information from reputable sources to support your thesis statement. This may include statistics, expert opinions, and scientific studies. For instance:
Create a clear and organized outline to structure your essay. A persuasive essay typically follows this structure:
In the introduction, grab your reader's attention and present your thesis statement. For example:
The COVID-19 pandemic has presented an unprecedented global challenge, and in the face of this crisis, many countries have debated the implementation of vaccination mandates. This essay argues that such mandates are essential for safeguarding public health and preventing further devastation caused by the virus. |
Offer context and background information to help your readers understand the issue better. For instance:
COVID-19, caused by the novel coronavirus SARS-CoV-2, emerged in late 2019 and quickly spread worldwide, leading to millions of infections and deaths. Vaccination has proven to be an effective tool in curbing the virus's spread and severity. |
Each body paragraph should present a single point or piece of evidence that supports your thesis statement. Use clear topic sentences , evidence, and analysis. Here's an example:
One compelling reason for implementing COVID-19 vaccination mandates is the overwhelming evidence of vaccine effectiveness. According to a study published in the New England Journal of Medicine, the Pfizer-BioNTech and Moderna vaccines demonstrated an efficacy of over 90% in preventing symptomatic COVID-19 cases. This level of protection not only reduces the risk of infection but also minimizes the virus's impact on healthcare systems. |
Acknowledge opposing viewpoints and refute them with strong counterarguments. This demonstrates that you've considered different perspectives. For example:
Some argue that vaccination mandates infringe on personal freedoms and autonomy. While individual freedom is a crucial aspect of democratic societies, public health measures have long been implemented to protect the collective well-being. Seatbelt laws, for example, are in place to save lives, even though they restrict personal choice. |
Summarize your main points and restate your thesis statement in the conclusion. End with a strong call to action or thought-provoking statement. For instance:
In conclusion, COVID-19 vaccination mandates are a crucial step toward controlling the pandemic, protecting public health, and preventing further loss of life. The evidence overwhelmingly supports their effectiveness, and while concerns about personal freedoms are valid, they must be weighed against the greater good of society. It is our responsibility to take collective action to combat this global crisis and move toward a safer, healthier future. |
Edit your essay for clarity, coherence, grammar, and spelling errors. Ensure that your argument flows logically.
Include proper citations and a bibliography page to give credit to your sources.
Remember to adjust your approach and arguments based on your target audience and the specific angle you want to take in your persuasive essay about COVID-19.
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When writing a persuasive essay about the COVID-19 pandemic, it’s important to consider how you want to present your argument. To help you get started, here are some example essays for you to read:
|
Here is another example explaining How COVID-19 has changed our lives essay:
The COVID-19 pandemic, which began in late 2019, has drastically altered the way we live. From work and education to social interactions and healthcare, every aspect of our daily routines has been impacted. Reflecting on these changes helps us understand their long-term implications.
COVID-19, caused by the novel coronavirus SARS-CoV-2, is an infectious disease first identified in December 2019 in Wuhan, China. It spreads through respiratory droplets and can range from mild symptoms like fever and cough to severe cases causing pneumonia and death. The rapid spread and severe health impacts have led to significant public health measures worldwide.
The pandemic shifted many to remote work and online education. While some enjoy the flexibility, others face challenges like limited access to technology and blurred boundaries between work and home.
Social distancing and lockdowns have led to increased isolation and mental health issues. However, the pandemic has also fostered community resilience, with people finding new ways to connect and support each other virtually.
Healthcare systems have faced significant challenges, leading to innovations in telemedicine and a focus on public health infrastructure. Heightened awareness of hygiene practices, like handwashing and mask-wearing, has helped reduce the spread of infectious diseases.
COVID-19 has caused severe economic repercussions, including business closures and job losses. While governments have implemented relief measures, the long-term effects are still uncertain. The pandemic has also accelerated trends like e-commerce and contactless payments.
The reduction in travel and industrial activities during lockdowns led to a temporary decrease in pollution and greenhouse gas emissions. This has sparked discussions about sustainable practices and the potential for a green recovery.
COVID-19 has reshaped our lives in numerous ways, affecting work, education, social interactions, healthcare, the economy, and the environment. As we adapt to this new normal, it is crucial to learn from these experiences and work towards a more resilient and equitable future. |
Let’s look at another sample essay:
The COVID-19 pandemic has been a transformative event, reshaping every aspect of our lives. In my opinion, while the pandemic has brought immense challenges, it has also offered valuable lessons and opportunities for growth. One of the most striking impacts has been on our healthcare systems. The pandemic exposed weaknesses and gaps, prompting a much-needed emphasis on public health infrastructure and the importance of preparedness. Innovations in telemedicine and vaccine development have been accelerated, showing the incredible potential of scientific collaboration. Socially, the pandemic has highlighted the importance of community and human connection. While lockdowns and social distancing measures increased feelings of isolation, they also fostered a sense of solidarity. People found creative ways to stay connected and support each other, from virtual gatherings to community aid initiatives. The shift to remote work and online education has been another significant change. This transition, though challenging, demonstrated the flexibility and adaptability of both individuals and organizations. It also underscored the importance of digital literacy and access to technology. Economically, the pandemic has caused widespread disruption. Many businesses closed, and millions lost their jobs. However, it also prompted a reevaluation of business models and work practices. The accelerated adoption of e-commerce and remote work could lead to more sustainable and efficient ways of operating in the future. In conclusion, the COVID-19 pandemic has been a profound and complex event. While it brought about considerable hardship, it also revealed the strength and resilience of individuals and communities. Moving forward, it is crucial to build on the lessons learned to create a more resilient and equitable world. |
Check out some more PDF examples below:
Persuasive Essay About Covid-19 Pandemic
Sample Of Persuasive Essay About Covid-19
Persuasive Essay About Covid-19 In The Philippines - Example
If you're in search of a compelling persuasive essay on business, don't miss out on our “ persuasive essay about business ” blog!
Covid19 vaccines are one of the ways to prevent the spread of COVID-19, but they have been a source of controversy. Different sides argue about the benefits or dangers of the new vaccines. Whatever your point of view is, writing a persuasive essay about it is a good way of organizing your thoughts and persuading others.
A persuasive essay about the COVID-19 vaccine could consider the benefits of getting vaccinated as well as the potential side effects.
Below are some examples of persuasive essays on getting vaccinated for Covid-19.
Covid19 Vaccine Persuasive Essay
Persuasive Essay on Covid Vaccines
Interested in thought-provoking discussions on abortion? Read our persuasive essay about abortion blog to eplore arguments!
Covid19 has drastically changed the way people interact in schools, markets, and workplaces. In short, it has affected all aspects of life. However, people have started to learn to live with Covid19.
Writing a persuasive essay about it shouldn't be stressful. Read the sample essay below to get an idea for your own essay about Covid19 integration.
Persuasive Essay About Working From Home During Covid19
Searching for the topic of Online Education? Our persuasive essay about online education is a must-read.
Covid-19 has been an ever-evolving issue, with new developments and discoveries being made on a daily basis.
Writing an argumentative essay about such an issue is both interesting and challenging. It allows you to evaluate different aspects of the pandemic, as well as consider potential solutions.
Here are some examples of argumentative essays on Covid19.
Argumentative Essay About Covid19 Sample
Argumentative Essay About Covid19 With Introduction Body and Conclusion
Looking for a persuasive take on the topic of smoking? You'll find it all related arguments in out Persuasive Essay About Smoking blog!
Do you need to prepare a speech about Covid19 and need examples? We have them for you!
Persuasive speeches about Covid-19 can provide the audience with valuable insights on how to best handle the pandemic. They can be used to advocate for specific changes in policies or simply raise awareness about the virus.
Check out some examples of persuasive speeches on Covid-19:
Persuasive Speech About Covid-19 Example
Persuasive Speech About Vaccine For Covid-19
You can also read persuasive essay examples on other topics to master your persuasive techniques!
Writing a persuasive essay about COVID-19 requires a thoughtful approach to present your arguments effectively.
Here are some tips to help you craft a compelling persuasive essay on this topic:
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Here are some persuasive essay topics on COVID-19:
In search of more inspiring topics for your next persuasive essay? Our persuasive essay topics blog has plenty of ideas!
To sum it up,
You have read good sample essays and got some helpful tips. You now have the tools you needed to write a persuasive essay about Covid-19. So don't let the doubts stop you, start writing!
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What is a good title for a covid-19 essay.
A good title for a COVID-19 essay should be clear, engaging, and reflective of the essay's content. Examples include:
To write an informative essay about COVID-19, follow these steps:
To write an expository essay about COVID-19, follow these steps:
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Subscribe to the brown center on education policy newsletter, megan kuhfeld , megan kuhfeld senior research scientist - nwea jim soland , jim soland assistant professor, school of education and human development - university of virginia, affiliated research fellow - nwea karyn lewis , and karyn lewis director, center for school and student progress - nwea emily morton emily morton research scientist - nwea.
March 3, 2022
As we reach the two-year mark of the initial wave of pandemic-induced school shutdowns, academic normalcy remains out of reach for many students, educators, and parents. In addition to surging COVID-19 cases at the end of 2021, schools have faced severe staff shortages , high rates of absenteeism and quarantines , and rolling school closures . Furthermore, students and educators continue to struggle with mental health challenges , higher rates of violence and misbehavior , and concerns about lost instructional time .
As we outline in our new research study released in January, the cumulative impact of the COVID-19 pandemic on students’ academic achievement has been large. We tracked changes in math and reading test scores across the first two years of the pandemic using data from 5.4 million U.S. students in grades 3-8. We focused on test scores from immediately before the pandemic (fall 2019), following the initial onset (fall 2020), and more than one year into pandemic disruptions (fall 2021).
Average fall 2021 math test scores in grades 3-8 were 0.20-0.27 standard deviations (SDs) lower relative to same-grade peers in fall 2019, while reading test scores were 0.09-0.18 SDs lower. This is a sizable drop. For context, the math drops are significantly larger than estimated impacts from other large-scale school disruptions, such as after Hurricane Katrina—math scores dropped 0.17 SDs in one year for New Orleans evacuees .
Even more concerning, test-score gaps between students in low-poverty and high-poverty elementary schools grew by approximately 20% in math (corresponding to 0.20 SDs) and 15% in reading (0.13 SDs), primarily during the 2020-21 school year. Further, achievement tended to drop more between fall 2020 and 2021 than between fall 2019 and 2020 (both overall and differentially by school poverty), indicating that disruptions to learning have continued to negatively impact students well past the initial hits following the spring 2020 school closures.
These numbers are alarming and potentially demoralizing, especially given the heroic efforts of students to learn and educators to teach in incredibly trying times. From our perspective, these test-score drops in no way indicate that these students represent a “ lost generation ” or that we should give up hope. Most of us have never lived through a pandemic, and there is so much we don’t know about students’ capacity for resiliency in these circumstances and what a timeline for recovery will look like. Nor are we suggesting that teachers are somehow at fault given the achievement drops that occurred between 2020 and 2021; rather, educators had difficult jobs before the pandemic, and now are contending with huge new challenges, many outside their control.
Clearly, however, there’s work to do. School districts and states are currently making important decisions about which interventions and strategies to implement to mitigate the learning declines during the last two years. Elementary and Secondary School Emergency Relief (ESSER) investments from the American Rescue Plan provided nearly $200 billion to public schools to spend on COVID-19-related needs. Of that sum, $22 billion is dedicated specifically to addressing learning loss using “evidence-based interventions” focused on the “ disproportionate impact of COVID-19 on underrepresented student subgroups. ” Reviews of district and state spending plans (see Future Ed , EduRecoveryHub , and RAND’s American School District Panel for more details) indicate that districts are spending their ESSER dollars designated for academic recovery on a wide variety of strategies, with summer learning, tutoring, after-school programs, and extended school-day and school-year initiatives rising to the top.
To help contextualize the magnitude of the impacts of COVID-19, we situate test-score drops during the pandemic relative to the test-score gains associated with common interventions being employed by districts as part of pandemic recovery efforts. If we assume that such interventions will continue to be as successful in a COVID-19 school environment, can we expect that these strategies will be effective enough to help students catch up? To answer this question, we draw from recent reviews of research on high-dosage tutoring , summer learning programs , reductions in class size , and extending the school day (specifically for literacy instruction) . We report effect sizes for each intervention specific to a grade span and subject wherever possible (e.g., tutoring has been found to have larger effects in elementary math than in reading).
Figure 1 shows the standardized drops in math test scores between students testing in fall 2019 and fall 2021 (separately by elementary and middle school grades) relative to the average effect size of various educational interventions. The average effect size for math tutoring matches or exceeds the average COVID-19 score drop in math. Research on tutoring indicates that it often works best in younger grades, and when provided by a teacher rather than, say, a parent. Further, some of the tutoring programs that produce the biggest effects can be quite intensive (and likely expensive), including having full-time tutors supporting all students (not just those needing remediation) in one-on-one settings during the school day. Meanwhile, the average effect of reducing class size is negative but not significant, with high variability in the impact across different studies. Summer programs in math have been found to be effective (average effect size of .10 SDs), though these programs in isolation likely would not eliminate the COVID-19 test-score drops.
Source: COVID-19 score drops are pulled from Kuhfeld et al. (2022) Table 5; reduction-in-class-size results are from pg. 10 of Figles et al. (2018) Table 2; summer program results are pulled from Lynch et al (2021) Table 2; and tutoring estimates are pulled from Nictow et al (2020) Table 3B. Ninety-five percent confidence intervals are shown with vertical lines on each bar.
Notes: Kuhfeld et al. and Nictow et al. reported effect sizes separately by grade span; Figles et al. and Lynch et al. report an overall effect size across elementary and middle grades. We were unable to find a rigorous study that reported effect sizes for extending the school day/year on math performance. Nictow et al. and Kraft & Falken (2021) also note large variations in tutoring effects depending on the type of tutor, with larger effects for teacher and paraprofessional tutoring programs than for nonprofessional and parent tutoring. Class-size reductions included in the Figles meta-analysis ranged from a minimum of one to minimum of eight students per class.
Figure 2 displays a similar comparison using effect sizes from reading interventions. The average effect of tutoring programs on reading achievement is larger than the effects found for the other interventions, though summer reading programs and class size reduction both produced average effect sizes in the ballpark of the COVID-19 reading score drops.
Source: COVID-19 score drops are pulled from Kuhfeld et al. (2022) Table 5; extended-school-day results are from Figlio et al. (2018) Table 2; reduction-in-class-size results are from pg. 10 of Figles et al. (2018) ; summer program results are pulled from Kim & Quinn (2013) Table 3; and tutoring estimates are pulled from Nictow et al (2020) Table 3B. Ninety-five percent confidence intervals are shown with vertical lines on each bar.
Notes: While Kuhfeld et al. and Nictow et al. reported effect sizes separately by grade span, Figlio et al. and Kim & Quinn report an overall effect size across elementary and middle grades. Class-size reductions included in the Figles meta-analysis ranged from a minimum of one to minimum of eight students per class.
There are some limitations of drawing on research conducted prior to the pandemic to understand our ability to address the COVID-19 test-score drops. First, these studies were conducted under conditions that are very different from what schools currently face, and it is an open question whether the effectiveness of these interventions during the pandemic will be as consistent as they were before the pandemic. Second, we have little evidence and guidance about the efficacy of these interventions at the unprecedented scale that they are now being considered. For example, many school districts are expanding summer learning programs, but school districts have struggled to find staff interested in teaching summer school to meet the increased demand. Finally, given the widening test-score gaps between low- and high-poverty schools, it’s uncertain whether these interventions can actually combat the range of new challenges educators are facing in order to narrow these gaps. That is, students could catch up overall, yet the pandemic might still have lasting, negative effects on educational equality in this country.
Given that the current initiatives are unlikely to be implemented consistently across (and sometimes within) districts, timely feedback on the effects of initiatives and any needed adjustments will be crucial to districts’ success. The Road to COVID Recovery project and the National Student Support Accelerator are two such large-scale evaluation studies that aim to produce this type of evidence while providing resources for districts to track and evaluate their own programming. Additionally, a growing number of resources have been produced with recommendations on how to best implement recovery programs, including scaling up tutoring , summer learning programs , and expanded learning time .
Ultimately, there is much work to be done, and the challenges for students, educators, and parents are considerable. But this may be a moment when decades of educational reform, intervention, and research pay off. Relying on what we have learned could show the way forward.
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Essays reveal experiences during pandemic, unrest.
Members of Advanced Field Study, a select group of Social Ecology students who are chosen from a pool of applicants to participate in a year-long field study experience and course, had their internships and traditional college experience cut short this year. During our final quarter of the year together, during which we met weekly for two hours via Zoom, we discussed their reactions as the world fell apart around them. First came the pandemic and social distancing, then came the death of George Floyd and the response of the Black Lives Matter movement, both of which were imprinted on the lives of these students. This year was anything but dull, instead full of raw emotion and painful realizations of the fragility of the human condition and the extent to which we need one another. This seemed like the perfect opportunity for our students to chronicle their experiences — the good and the bad, the lessons learned, and ways in which they were forever changed by the events of the past four months. I invited all of my students to write an essay describing the ways in which these times had impacted their learning and their lives during or after their time at UCI. These are their voices. — Jessica Borelli , associate professor of psychological science
The current state of affairs put the world on pause, but this pause gave me time to reflect on troubling matters. Time that so many others like me probably also desperately needed to heal without even knowing it. Sometimes it takes one’s world falling apart for the most beautiful mosaic to be built up from the broken pieces of wreckage.
As the school year was coming to a close and summer was edging around the corner, I began reflecting on how people will spend their summer breaks if the country remains in its current state throughout the sunny season. Aside from living in the sunny beach state of California where people love their vitamin D and social festivities, I think some of the most damaging effects Covid-19 will have on us all has more to do with social distancing policies than with any inconveniences we now face due to the added precautions, despite how devastating it may feel that Disneyland is closed to all the local annual passholders or that the beaches may not be filled with sun-kissed California girls this summer. During this unprecedented time, I don’t think we should allow the rare opportunity we now have to be able to watch in real time how the effects of social distancing can impact our mental health. Before the pandemic, many of us were already engaging in a form of social distancing. Perhaps not the exact same way we are now practicing, but the technology that we have developed over recent years has led to a dramatic decline in our social contact and skills in general.
The debate over whether we should remain quarantined during this time is not an argument I am trying to pursue. Instead, I am trying to encourage us to view this event as a unique time to study how social distancing can affect people’s mental health over a long period of time and with dramatic results due to the magnitude of the current issue. Although Covid-19 is new and unfamiliar to everyone, the isolation and separation we now face is not. For many, this type of behavior has already been a lifestyle choice for a long time. However, the current situation we all now face has allowed us to gain a more personal insight on how that experience feels due to the current circumstances. Mental illness continues to remain a prevalent problem throughout the world and for that reason could be considered a pandemic of a sort in and of itself long before the Covid-19 outbreak.
One parallel that can be made between our current restrictions and mental illness reminds me in particular of hikikomori culture. Hikikomori is a phenomenon that originated in Japan but that has since spread internationally, now prevalent in many parts of the world, including the United States. Hikikomori is not a mental disorder but rather can appear as a symptom of a disorder. People engaging in hikikomori remain confined in their houses and often their rooms for an extended period of time, often over the course of many years. This action of voluntary confinement is an extreme form of withdrawal from society and self-isolation. Hikikomori affects a large percent of people in Japan yearly and the problem continues to become more widespread with increasing occurrences being reported around the world each year. While we know this problem has continued to increase, the exact number of people practicing hikikomori is unknown because there is a large amount of stigma surrounding the phenomenon that inhibits people from seeking help. This phenomenon cannot be written off as culturally defined because it is spreading to many parts of the world. With the technology we now have, and mental health issues on the rise and expected to increase even more so after feeling the effects of the current pandemic, I think we will definitely see a rise in the number of people engaging in this social isolation, especially with the increase in legitimate fears we now face that appear to justify the previously considered irrational fears many have associated with social gatherings. We now have the perfect sample of people to provide answers about how this form of isolation can affect people over time.
Likewise, with the advancements we have made to technology not only is it now possible to survive without ever leaving the confines of your own home, but it also makes it possible for us to “fulfill” many of our social interaction needs. It’s very unfortunate, but in addition to the success we have gained through our advancements we have also experienced a great loss. With new technology, I am afraid that we no longer engage with others the way we once did. Although some may say the advancements are for the best, I wonder, at what cost? It is now commonplace to see a phone on the table during a business meeting or first date. Even worse is how many will feel inclined to check their phone during important or meaningful interactions they are having with people face to face. While our technology has become smarter, we have become dumber when it comes to social etiquette. As we all now constantly carry a mini computer with us everywhere we go, we have in essence replaced our best friends. We push others away subconsciously as we reach for our phones during conversations. We no longer remember phone numbers because we have them all saved in our phones. We find comfort in looking down at our phones during those moments of free time we have in public places before our meetings begin. These same moments were once the perfect time to make friends, filled with interactive banter. We now prefer to stare at other people on our phones for hours on end, and often live a sedentary lifestyle instead of going out and interacting with others ourselves.
These are just a few among many issues the advances to technology led to long ago. We have forgotten how to practice proper tech-etiquette and we have been inadvertently practicing social distancing long before it was ever required. Now is a perfect time for us to look at the society we have become and how we incurred a different kind of pandemic long before the one we currently face. With time, as the social distancing regulations begin to lift, people may possibly begin to appreciate life and connecting with others more than they did before as a result of the unique experience we have shared in together while apart.
Maybe the world needed a time-out to remember how to appreciate what it had but forgot to experience. Life is to be lived through experience, not to be used as a pastime to observe and compare oneself with others. I’ll leave you with a simple reminder: never forget to take care and love more because in a world where life is often unpredictable and ever changing, one cannot risk taking time or loved ones for granted. With that, I bid you farewell, fellow comrades, like all else, this too shall pass, now go live your best life!
Covid-19 has impacted millions of Americans who have been out of work for weeks, thus creating a financial burden. Without a job and the certainty of knowing when one will return to work, paying rent and utilities has been a problem for many. With unemployment on the rise, relying on unemployment benefits has become a necessity for millions of people. According to the Washington Post , unemployment rose to 14.7% in April which is considered to be the worst since the Great Depression.
Those who are not worried about the financial aspect or the thought never crossed their minds have privilege. Merriam Webster defines privilege as “a right or immunity granted as a peculiar benefit, advantage, or favor.” Privilege can have a negative connotation. What you choose to do with your privilege is what matters. Talking about privilege can bring discomfort, but the discomfort it brings can also carry the benefit of drawing awareness to one’s privilege, which can lead the person to take steps to help others.
I am a first-generation college student who recently transferred to a four-year university. When schools began to close, and students had to leave their on-campus housing, many lost their jobs.I was able to stay on campus because I live in an apartment. I am fortunate to still have a job, although the hours are minimal. My parents help pay for school expenses, including housing, tuition, and food. I do not have to worry about paying rent or how to pay for food because my parents are financially stable to help me. However, there are millions of college students who are not financially stable or do not have the support system I have. Here, I have the privilege and, thus, I am the one who can offer help to others. I may not have millions in funding, but volunteering for centers who need help is where I am able to help. Those who live in California can volunteer through Californians For All or at food banks, shelter facilities, making calls to seniors, etc.
I was not aware of my privilege during these times until I started reading more articles about how millions of people cannot afford to pay their rent, and landlords are starting to send notices of violations. Rather than feel guilty and be passive about it, I chose to put my privilege into a sense of purpose: Donating to nonprofits helping those affected by COVID-19, continuing to support local businesses, and supporting businesses who are donating profits to those affected by COVID-19.
As I write this, my friends are double checking our medical supplies and making plans to buy water and snacks to pass out at the next protest we are attending. We write down the number for the local bailout fund on our arms and pray that we’re lucky enough not to have to use it should things get ugly. We are part of a pivotal event, the kind of movement that will forever have a place in history. Yet, during this revolution, I have papers to write and grades to worry about, as I’m in the midst of finals.
My professors have offered empty platitudes. They condemn the violence and acknowledge the stress and pain that so many of us are feeling, especially the additional weight that this carries for students of color. I appreciate their show of solidarity, but it feels meaningless when it is accompanied by requests to complete research reports and finalize presentations. Our world is on fire. Literally. On my social media feeds, I scroll through image after image of burning buildings and police cars in flames. How can I be asked to focus on school when my community is under siege? When police are continuing to murder black people, adding additional names to the ever growing list of their victims. Breonna Taylor. Ahmaud Arbery. George Floyd. David Mcatee. And, now, Rayshard Brooks.
It already felt like the world was being asked of us when the pandemic started and classes continued. High academic expectations were maintained even when students now faced the challenges of being locked down, often trapped in small spaces with family or roommates. Now we are faced with another public health crisis in the form of police violence and once again it seems like educational faculty are turning a blind eye to the impact that this has on the students. I cannot study for exams when I am busy brushing up on my basic first-aid training, taking notes on the best techniques to stop heavy bleeding and treat chemical burns because at the end of the day, if these protests turn south, I will be entering a warzone. Even when things remain peaceful, there is an ugliness that bubbles just below the surface. When beginning the trek home, I have had armed members of the National Guard follow me and my friends. While kneeling in silence, I have watched police officers cock their weapons and laugh, pointing out targets in the crowd. I have been emailing my professors asking for extensions, trying to explain that if something is turned in late, it could be the result of me being detained or injured. I don’t want to be penalized for trying to do what I wholeheartedly believe is right.
I have spent my life studying and will continue to study these institutions that have been so instrumental in the oppression and marginalization of black and indigenous communities. Yet, now that I have the opportunity to be on the frontlines actively fighting for the change our country so desperately needs, I feel that this study is more of a hindrance than a help to the cause. Writing papers and reading books can only take me so far and I implore that professors everywhere recognize that requesting their students split their time and energy between finals and justice is an impossible ask.
Since the start of the most drastic change of our lives, I have had the privilege of helping feed more than 200 different families in the Santa Ana area and even some neighboring cities. It has been an immense pleasure seeing the sheer joy and happiness of families as they come to pick up their box of food from our site, as well as a $50 gift card to Northgate, a grocery store in Santa Ana. Along with donating food and helping feed families, the team at the office, including myself, have dedicated this time to offering psychosocial and mental health check-ups for the families we serve.
Every day I go into the office I start my day by gathering files of our families we served between the months of January, February, and March and calling them to check on how they are doing financially, mentally, and how they have been affected by COVID-19. As a side project, I have been putting together Excel spreadsheets of all these families’ struggles and finding a way to turn their situation into a success story to share with our board at PY-OCBF and to the community partners who make all of our efforts possible. One of the things that has really touched me while working with these families is how much of an impact this nonprofit organization truly has on family’s lives. I have spoken with many families who I just call to check up on and it turns into an hour call sharing about how much of a change they have seen in their child who went through our program. Further, they go on to discuss that because of our program, their children have a different perspective on the drugs they were using before and the group of friends they were hanging out with. Of course, the situation is different right now as everyone is being told to stay at home; however, there are those handful of kids who still go out without asking for permission, increasing the likelihood they might contract this disease and pass it to the rest of the family. We are working diligently to provide support for these parents and offering advice to talk to their kids in order to have a serious conversation with their kids so that they feel heard and validated.
Although the novel Coronavirus has impacted the lives of millions of people not just on a national level, but on a global level, I feel that in my current position, it has opened doors for me that would have otherwise not presented themselves. Fortunately, I have been offered a full-time position at the Project Youth Orange County Bar Foundation post-graduation that I have committed to already. This invitation came to me because the organization received a huge grant for COVID-19 relief to offer to their staff and since I was already part-time, they thought I would be a good fit to join the team once mid-June comes around. I was very excited and pleased to be recognized for the work I have done at the office in front of all staff. I am immensely grateful for this opportunity. I will work even harder to provide for the community and to continue changing the lives of adolescents, who have steered off the path of success. I will use my time as a full-time employee to polish my resume, not forgetting that the main purpose of my moving to Irvine was to become a scholar and continue the education that my parents couldn’t attain. I will still be looking for ways to get internships with other fields within criminology. One specific interest that I have had since being an intern and a part-time employee in this organization is the work of the Orange County Coroner’s Office. I don’t exactly know what enticed me to find it appealing as many would say that it is an awful job in nature since it relates to death and seeing people in their worst state possible. However, I feel that the only way for me to truly know if I want to pursue such a career in forensic science will be to just dive into it and see where it takes me.
I can, without a doubt, say that the Coronavirus has impacted me in a way unlike many others, and for that I am extremely grateful. As I continue working, I can also state that many people are becoming more and more hopeful as time progresses. With people now beginning to say Stage Two of this stay-at-home order is about to allow retailers and other companies to begin doing curbside delivery, many families can now see some light at the end of the tunnel.
This time of the year is meant to be a time of celebration; however, it has been difficult to feel proud or excited for many of us when it has become a time of collective mourning and sorrow, especially for the Black community. There has been an endless amount of pain, rage, and helplessness that has been felt throughout our nation because of the growing list of Black lives we have lost to violence and brutality.
To honor the lives that we have lost, George Floyd, Tony McDade, Breonna Taylor, Ahmaud Arbery, Eric Garner, Oscar Grant, Michael Brown, Trayon Martin, and all of the other Black lives that have been taken away, may they Rest in Power.
Throughout my college experience, I have become more exposed to the various identities and the upbringings of others, which led to my own self-reflection on my own privileged and marginalized identities. I identify as Colombian, German, and Mexican; however navigating life as a mixed race, I have never been able to identify or have one culture more salient than the other. I am visibly white-passing and do not hold any strong ties with any of my ethnic identities, which used to bring me feelings of guilt and frustration, for I would question whether or not I could be an advocate for certain communities, and whether or not I could claim the identity of a woman of color. In the process of understanding my positionality, I began to wonder what space I belonged in, where I could speak up, and where I should take a step back for others to speak. I found myself in a constant theme of questioning what is my narrative and slowly began to realize that I could not base it off lone identities and that I have had the privilege to move through life without my identities defining who I am. Those initial feelings of guilt and confusion transformed into growth, acceptance, and empowerment.
This journey has driven me to educate myself more about the social inequalities and injustices that people face and to focus on what I can do for those around me. It has motivated me to be more culturally responsive and competent, so that I am able to best advocate for those around me. Through the various roles I have worked in, I have been able to listen to a variety of communities’ narratives and experiences, which has allowed me to extend my empathy to these communities while also pushing me to continue educating myself on how I can best serve and empower them. By immersing myself amongst different communities, I have been given the honor of hearing others’ stories and experiences, which has inspired me to commit myself to support and empower others.
I share my story of navigating through my privileged and marginalized identities in hopes that it encourages others to explore their own identities. This journey is not an easy one, and it is an ongoing learning process that will come with various mistakes. I have learned that with facing our privileges comes feelings of guilt, discomfort, and at times, complacency. It is very easy to become ignorant when we are not affected by different issues, but I challenge those who read this to embrace the discomfort. With these emotions, I have found it important to reflect on the source of discomfort and guilt, for although they are a part of the process, in taking the steps to become more aware of the systemic inequalities around us, understanding the source of discomfort can better inform us on how we perpetuate these systemic inequalities. If we choose to embrace ignorance, we refuse to acknowledge the systems that impact marginalized communities and refuse to honestly and openly hear cries for help. If we choose our own comfort over the lives of those being affected every day, we can never truly honor, serve, or support these communities.
I challenge any non-Black person, including myself, to stop remaining complacent when injustices are committed. We need to consistently recognize and acknowledge how the Black community is disproportionately affected in every injustice experienced and call out anti-Blackness in every role, community, and space we share. We need to keep ourselves and others accountable when we make mistakes or fall back into patterns of complacency or ignorance. We need to continue educating ourselves instead of relying on the emotional labor of the Black community to continuously educate us on the history of their oppressions. We need to collectively uplift and empower one another to heal and rise against injustice. We need to remember that allyship ends when action ends.
To the Black community, you are strong. You deserve to be here. The recent events are emotionally, mentally, and physically exhausting, and the need for rest to take care of your mental, physical, and emotional well-being are at an all time high. If you are able, take the time to regain your energy, feel every emotion, and remind yourself of the power you have inside of you. You are not alone.
Following Jan. 1 of 2020 many of my classmates and I continued to like, share, and forward the same meme. The meme included any image but held the same phrase: I can see 2020. For many of us, 2020 was a beacon of hope. For the Class of 2020, this meant walking on stage in front of our families. Graduation meant becoming an adult, finding a job, or going to graduate school. No matter what we were doing in our post-grad life, we were the new rising stars ready to take on the world with a positive outlook no matter what the future held. We felt that we had a deal with the universe that we were about to be noticed for our hard work, our hardships, and our perseverance.
Then March 17 of 2020 came to pass with California Gov. Newman ordering us to stay at home, which we all did. However, little did we all know that the world we once had open to us would only be forgotten when we closed our front doors.
Life became immediately uncertain and for many of us, that meant graduation and our post-graduation plans including housing, careers, education, food, and basic standards of living were revoked! We became the forgotten — a place from which many of us had attempted to rise by attending university. The goals that we were told we could set and the plans that we were allowed to make — these were crushed before our eyes.
Eighty days before graduation, in the first several weeks of quarantine, I fell extremely ill; both unfortunately and luckily, I was isolated. All of my roommates had moved out of the student apartments leaving me with limited resources, unable to go to the stores to pick up medicine or food, and with insufficient health coverage to afford a doctor until my throat was too swollen to drink water. For nearly three weeks, I was stuck in bed, I was unable to apply to job deadlines, reach out to family, and have contact with the outside world. I was forgotten.
Forty-five days before graduation, I had clawed my way out of illness and was catching up on an honors thesis about media depictions of sexual exploitation within the American political system, when I was relayed the news that democratic presidential candidate Joe Biden was accused of sexual assault. However, when reporting this news to close friends who had been devastated and upset by similar claims against past politicians, they all were too tired and numb from the quarantine to care. Just as I had written hours before reading the initial story, history was repeating, and it was not only I who COVID-19 had forgotten, but now survivors of violence.
After this revelation, I realize the silencing factor that COVID-19 has. Not only does it have the power to terminate the voices of our older generations, but it has the power to silence and make us forget the voices of every generation. Maybe this is why social media usage has gone up, why we see people creating new social media accounts, posting more, attempting to reach out to long lost friends. We do not want to be silenced, moreover, we cannot be silenced. Silence means that we have been forgotten and being forgotten is where injustice and uncertainty occurs. By using social media, pressing like on a post, or even sending a hate message, means that someone cares and is watching what you are doing. If there is no interaction, I am stuck in the land of indifference.
This is a place that I, and many others, now reside, captured and uncertain. In 2020, my plan was to graduate Cum Laude, dean's honor list, with three honors programs, three majors, and with research and job experience that stretched over six years. I would then go into my first year of graduate school, attempting a dual Juris Doctorate. I would be spending my time experimenting with new concepts, new experiences, and new relationships. My life would then be spent giving a microphone to survivors of domestic violence and sex crimes. However, now the plan is wiped clean, instead I sit still bound to graduate in 30 days with no home to stay, no place to work, and no future education to come back to. I would say I am overly qualified, but pandemic makes me lost in a series of names and masked faces.
When I read the campuswide email notifying students of the World Health Organization’s declaration of the coronavirus pandemic, I was sitting on my couch practicing a research presentation I was going to give a few hours later. For a few minutes, I sat there motionless, trying to digest the meaning of the words as though they were from a language other than my own, familiar sounds strung together in way that was wholly unintelligible to me. I tried but failed to make sense of how this could affect my life. After the initial shock had worn off, I mobilized quickly, snapping into an autopilot mode of being I knew all too well. I began making mental checklists, sharing the email with my friends and family, half of my brain wondering if I should make a trip to the grocery store to stockpile supplies and the other half wondering how I was supposed take final exams in the midst of so much uncertainty. The most chilling realization was knowing I had to wait powerlessly as the fate of the world unfolded, frozen with anxiety as I figured out my place in it all.
These feelings of powerlessness and isolation are familiar bedfellows for me. Early October of 2015, shortly after beginning my first year at UCI, I was diagnosed with Post-traumatic Stress Disorder. Despite having had years of psychological treatment for my condition, including Cognitive Behavior Therapy and Eye Movement Desensitization and Retraining, the flashbacks, paranoia, and nightmares still emerge unwarranted. People have referred to the pandemic as a collective trauma. For me, the pandemic has not only been a collective trauma, it has also been the reemergence of a personal trauma. The news of the pandemic and the implications it has for daily life triggered a reemergence of symptoms that were ultimately ignited by the overwhelming sense of helplessness that lies in waiting, as I suddenly find myself navigating yet another situation beyond my control. Food security, safety, and my sense of self have all been shaken by COVID-19.
The first few weeks after UCI transitioned into remote learning and the governor issued the stay-at-home order, I hardly got any sleep. My body was cycling through hypervigilance and derealization, and my sleep was interrupted by intrusive nightmares oscillating between flashbacks and frightening snippets from current events. Any coping methods I had developed through hard-won efforts over the past few years — leaving my apartment for a change of scenery, hanging out with friends, going to the gym — were suddenly made inaccessible to me due to the stay-at-home orders, closures of non-essential businesses, and many of my friends breaking their campus leases to move back to their family homes. So for me, learning to cope during COVID-19 quarantine means learning to function with my re-emerging PTSD symptoms and without my go-to tools. I must navigate my illness in a rapidly evolving world, one where some of my internalized fears, such as running out of food and living in an unsafe world, are made progressively more external by the minute and broadcasted on every news platform; fears that I could no longer escape, being confined in the tight constraints of my studio apartment’s walls. I cannot shake the devastating effects of sacrifice that I experience as all sense of control has been stripped away from me.
However, amidst my mental anguish, I have realized something important—experiencing these same PTSD symptoms during a global pandemic feels markedly different than it did years ago. Part of it might be the passage of time and the growth in my mindset, but there is something else that feels very different. Currently, there is widespread solidarity and support for all of us facing the chaos of COVID-19, whether they are on the frontlines of the fight against the illness or they are self-isolating due to new rules, restrictions, and risks. This was in stark contrast to what it was like to have a mental disorder. The unity we all experience as a result of COVID-19 is one I could not have predicted. I am not the only student heartbroken over a cancelled graduation, I am not the only student who is struggling to adapt to remote learning, and I am not the only person in this world who has to make sacrifices.
Between observations I’ve made on social media and conversations with my friends and classmates, this time we are all enduring great pain and stress as we attempt to adapt to life’s challenges. As a Peer Assistant for an Education class, I have heard from many students of their heartache over the remote learning model, how difficult it is to study in a non-academic environment, and how unmotivated they have become this quarter. This is definitely something I can relate to; as of late, it has been exceptionally difficult to find motivation and put forth the effort for even simple activities as a lack of energy compounds the issue and hinders basic needs. However, the willingness of people to open up about their distress during the pandemic is unlike the self-imposed social isolation of many people who experience mental illness regularly. Something this pandemic has taught me is that I want to live in a world where mental illness receives more support and isn’t so taboo and controversial. Why is it that we are able to talk about our pain, stress, and mental illness now, but aren’t able to talk about it outside of a global pandemic? People should be able to talk about these hardships and ask for help, much like during these circumstances.
It has been nearly three months since the coronavirus crisis was declared a pandemic. I still have many bad days that I endure where my symptoms can be overwhelming. But somehow, during my good days — and some days, merely good moments — I can appreciate the resilience I have acquired over the years and the common ground I share with others who live through similar circumstances. For veterans of trauma and mental illness, this isn’t the first time we are experiencing pain in an extreme and disastrous way. This is, however, the first time we are experiencing it with the rest of the world. This strange new feeling of solidarity as I read and hear about the experiences of other people provides some small comfort as I fight my way out of bed each day. As we fight to survive this pandemic, I hope to hold onto this feeling of togetherness and acceptance of pain, so that it will always be okay for people to share their struggles. We don’t know what the world will look like days, months, or years from now, but I hope that we can cultivate such a culture to make life much easier for people coping with mental illness.
I remember hearing that our brains create the color magenta all on their own.
When I was younger I used to run out of my third-grade class because my teacher was allergic to the mold and sometimes would vomit in the trash can. My dad used to tell me that I used to always have to have something in my hands, later translating itself into the form of a hair tie around my wrist.
Sometimes, I think about the girl who used to walk on her tippy toes. medial and lateral nerves never planted, never grounded. We were the same in this way. My ability to be firmly planted anywhere was also withered.
Was it from all the times I panicked? Or from the time I ran away and I blistered the soles of my feet 'til they were black from the summer pavement? Emetophobia.
I felt it in the shower, dressing itself from the crown of my head down to the soles of my feet, noting the feeling onto my white board in an attempt to solidify it’s permanence.
As I breathed in the chemical blue transpiring from the Expo marker, everything was more defined. I laid down and when I looked up at the starlet lamp I had finally felt centered. Still. No longer fleeting. The grooves in the lamps glass forming a spiral of what felt to me like an artificial landscape of transcendental sparks.
She’s back now, magenta, though I never knew she left or even ever was. Somehow still subconsciously always known. I had been searching for her in the tremors.
I can see her now in the daphnes, the golden rays from the sun reflecting off of the bark on the trees and the red light that glowed brighter, suddenly the town around me was warmer. A melting of hues and sharpened saturation that was apparent and reminded of the smell of oranges.
I threw up all of the carrots I ate just before. The trauma that my body kept as a memory of things that may or may not go wrong and the times that I couldn't keep my legs from running. Revelations bring memories bringing anxieties from fear and panic released from my body as if to say “NO LONGER!”
I close my eyes now and my mind's eye is, too, more vivid than ever before. My inner eyelids lit up with orange undertones no longer a solid black, neurons firing, fire. Not the kind that burns you but the kind that can light up a dull space. Like the wick of a tea-lit candle. Magenta doesn’t exist. It is perception. A construct made of light waves, blue and red.
Demolition. Reconstruction. I walk down the street into this new world wearing my new mask, somatic senses tingling and I think to myself “Houston, I think we’ve just hit equilibrium.”
During the last two weeks of Winter quarter, I watched the emails pour in. Spring quarter would be online, facilities were closing, and everyone was recommended to return home to their families, if possible. I resolved to myself that I would not move back home; I wanted to stay in my apartment, near my boyfriend, near my friends, and in the one place I had my own space. However, as the COVID-19 pandemic worsened, things continued to change quickly. Soon I learned my roommate/best friend would be cancelling her lease and moving back up to Northern California. We had made plans for my final quarter at UCI, as I would be graduating in June while she had another year, but all of the sudden, that dream was gone. In one whirlwind of a day, we tried to cram in as much of our plans as we could before she left the next day for good. There are still so many things – like hiking, going to museums, and showing her around my hometown – we never got to cross off our list.
Then, my boyfriend decided he would also be moving home, three hours away. Most of my sorority sisters were moving home, too. I realized if I stayed at school, I would be completely alone. My mom had been encouraging me to move home anyway, but I was reluctant to return to a house I wasn’t completely comfortable in. As the pandemic became more serious, gentle encouragement quickly turned into demands. I had to cancel my lease and move home.
I moved back in with my parents at the end of Spring Break; I never got to say goodbye to most of my friends, many of whom I’ll likely never see again – as long as the virus doesn’t change things, I’m supposed to move to New York over the summer to begin a PhD program in Criminal Justice. Just like that, my time at UCI had come to a close. No lasts to savor; instead I had piles of things to regret. In place of a final quarter filled with memorable lasts, such as the senior banquet or my sorority’s senior preference night, I’m left with a laundry list of things I missed out on. I didn’t get to look around the campus one last time like I had planned; I never got to take my graduation pictures in front of the UC Irvine sign. Commencement had already been cancelled. The lights had turned off in the theatre before the movie was over. I never got to find out how the movie ended.
Transitioning to a remote learning system wasn’t too bad, but I found that some professors weren’t adjusting their courses to the difficulties many students were facing. It turned out to be difficult to stay motivated, especially for classes that are pre-recorded and don’t have any face-to-face interaction. It’s hard to make myself care; I’m in my last few weeks ever at UCI, but it feels like I’m already in summer. School isn’t real, my classes aren’t real. I still put in the effort, but I feel like I’m not getting much out of my classes.
The things I had been looking forward to this quarter are gone; there will be no Undergraduate Research Symposium, where I was supposed to present two projects. My amazing internship with the US Postal Inspection Service is over prematurely and I never got to properly say goodbye to anyone I met there. I won’t receive recognition for the various awards and honors I worked so hard to achieve.
And I’m one of the lucky ones! I feel guilty for feeling bad about my situation, when I know there are others who have it much, much worse. I am like that quintessential spoiled child, complaining while there are essential workers working tirelessly, people with health concerns constantly fearing for their safety, and people dying every day. Yet knowing that doesn't help me from feeling I was robbed of my senior experience, something I worked very hard to achieve. I know it’s not nearly as important as what many others are going through. But nevertheless, this is my situation. I was supposed to be enjoying this final quarter with my friends and preparing to move on, not be stuck at home, grappling with my mental health and hiding out in my room to get some alone time from a family I don’t always get along with. And while I know it’s more difficult out there for many others, it’s still difficult for me.
The thing that stresses me out most is the uncertainty. Uncertainty for the future – how long will this pandemic last? How many more people have to suffer before things go back to “normal” – whatever that is? How long until I can see my friends and family again? And what does this mean for my academic future? Who knows what will happen between now and then? All that’s left to do is wait and hope that everything will work out for the best.
Looking back over my last few months at UCI, I wish I knew at the time that I was experiencing my lasts; it feels like I took so much for granted. If there is one thing this has all made me realize, it’s that nothing is certain. Everything we expect, everything we take for granted – none of it is a given. Hold on to what you have while you have it, and take the time to appreciate the wonderful things in life, because you never know when it will be gone.
Thirty days have never felt so long. April has been the longest month of the year. I have been through more in these past three months than in the past three years. The COVID-19 outbreak has had a huge impact on both physical and social well-being of a lot of Americans, including me. Stress has been governing the lives of so many civilians, in particular students and workers. In addition to causing a lack of motivation in my life, quarantine has also brought a wave of anxiety.
My life changed the moment the Centers of Disease Control and Prevention and the government announced social distancing. My busy daily schedule, running from class to class and meeting to meeting, morphed into identical days, consisting of hour after hour behind a cold computer monitor. Human interaction and touch improve trust, reduce fear and increases physical well-being. Imagine the effects of removing the human touch and interaction from midst of society. Humans are profoundly social creatures. I cannot function without interacting and connecting with other people. Even daily acquaintances have an impact on me that is only noticeable once removed. As a result, the COVID-19 outbreak has had an extreme impact on me beyond direct symptoms and consequences of contracting the virus itself.
It was not until later that month, when out of sheer boredom I was scrolling through my call logs and I realized that I had called my grandmother more than ever. This made me realize that quarantine had created some positive impacts on my social interactions as well. This period of time has created an opportunity to check up on and connect with family and peers more often than we were able to. Even though we might be connecting solely through a screen, we are not missing out on being socially connected. Quarantine has taught me to value and prioritize social connection, and to recognize that we can find this type of connection not only through in-person gatherings, but also through deep heart to heart connections. Right now, my weekly Zoom meetings with my long-time friends are the most important events in my week. In fact, I have taken advantage of the opportunity to reconnect with many of my old friends and have actually had more meaningful conversations with them than before the isolation.
This situation is far from ideal. From my perspective, touch and in-person interaction is essential; however, we must overcome all difficulties that life throws at us with the best we are provided with. Therefore, perhaps we should take this time to re-align our motives by engaging in things that are of importance to us. I learned how to dig deep and find appreciation for all the small talks, gatherings, and face-to-face interactions. I have also realized that friendships are not only built on the foundation of physical presence but rather on meaningful conversations you get to have, even if they are through a cold computer monitor. My realization came from having more time on my hands and noticing the shift in conversations I was having with those around me. After all, maybe this isolation isn’t “social distancing”, but rather “physical distancing” until we meet again.
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Open Access
Peer-reviewed
Research Article
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Supervision, Validation, Writing – original draft, Writing – review & editing
* E-mail: [email protected]
Affiliations Department of Computer Science, Lublin University of Technology, Lublin, Poland, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Roles Conceptualization, Formal analysis, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliation Department of Computer Science, Lublin University of Technology, Lublin, Poland
Roles Data curation, Software
The COVID-19 pandemic had radically changed higher education. The sudden transition to online teaching and learning exposed, however, some benefits by enhancing educational flexibility and digitization. The long-term effects of these changes are currently unknown, but a key question concerns their effect on student learning outcomes. This study aims to analyze the impact of the emergence of new models and teaching approaches on the academic performance of Computer Science students in the years 2019–2023. The COVID-19 pandemic created a natural experiment for comparisons in performance during in-person versus synchronous online and hybrid learning mode. We tracked changes in student achievements across the first two years of their engineering studies, using both basic (descriptive statistics, t-Student tests, Mann-Whitney test) and advanced statistical methods (Analysis of variance). The inquiry was conducted on 787 students of the Lublin University of Technology (Poland). Our findings indicated that first semester student scores were significantly higher when taught through online (13.77±2.77) and hybrid (13.7±2.86) approaches than through traditional in-person means as practiced before the pandemic (11.37±3.9, p-value < 0.05). Conversely, third semester student scores were significantly lower when taught through online (12.01±3.14) and hybrid (12.04±3.19) approaches than through traditional in-person means, after the pandemic (13.23±3.01, p-value < 0.05). However, the difference did not exceed 10% of a total score of 20 points. With regard to the statistical data, most of the questions were assessed as being difficult or appropriate, with adequate discrimination index, regardless of the learning mode. Based on the results, we conclude that we did not find clear evidence that pandemic disruption and online learning caused knowledge deficiencies. This critical situation increased students’ academic motivation. Moreover, we conclude that we have developed an effective digital platform for teaching and learning, as well as for a secure and fair student learning outcomes assessment.
Citation: Charytanowicz M, Zoła M, Suszyński W (2024) The impact of the COVID-19 pandemic on higher education: Assessment of student performance in computer science. PLoS ONE 19(8): e0305763. https://doi.org/10.1371/journal.pone.0305763
Editor: Prabhat Mittal, Satyawati College (Eve.), University of Delhi, INDIA
Received: October 15, 2023; Accepted: June 4, 2024; Published: August 14, 2024
Copyright: © 2024 Charytanowicz et al. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are available at the following link: https://zenodo.org/records/11583297 .
Funding: The author(s) received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
The COVID-19 pandemic brought with it a number of health, economic and social consequences. Indeed, the spread of the SARS-CoV-2 virus turned out to be so dangerous that many countries implemented new regulations in the educational field to limit physical contact. The pandemic-induced school shutdowns and sudden transition to remote teaching and learning at all levels of education. This change-over generated a number of technical and social problems [ 1 – 6 ]. These problems had also affected the academic community, although online or blended learning methods were implemented before the COVID-19 pandemic [ 7 ].
On March 12, 2020, a state of epidemic emergency was declared in Poland, and a week later–a state of pandemic. In consequence, the Minister of Science and Higher Education issued a regulation on the temporary suspension of the functioning of education institutes, lasting from March 12 till 25 2020 [ 8 , 9 ]. On March 25, 2020, the education system, including higher education, was switched to online teaching and learning, as necessitated by the need to maintain social distancing measures. Universities had to adapt to the circumstances almost overnight. However, many universities were not fully prepared with regard to technical capabilities, educational resources and the skills of the teaching staff in organizing distance education [ 10 – 12 ]. Before the COVID-19 pandemic, the applicable regulations of the Ministry of Science and Higher Education did not encourage the authorities of most universities to invest in technologies for conducting fully remote studies. Poland was, however, not an exception in this respect. Many old, prestigious universities in Europe were also reserved about remote learning, and the virtual learning environment was mainly used as a teaching aid.
Fortunately, the information revolution had by this time developed more flexible approaches to learning with the form of Information and Communication Technology (ICT). Indeed, it is one of the leading factors that affect current teaching methodology [ 13 – 18 ]. E-learning systems, their accessibility and functionality, have provided new possibilities to acquire knowledge and to ease the burden of learning. As an outcome, remote teaching and learning are often seen as promising solutions that offer high flexibility and a learner-centered approach that enables students to learn at their own pace [ 19 , 20 ]. Thus, the role of the teacher in the classroom has transformed from that of being the font of knowledge, to an instructional manager identifying relevant resources and creating collaborative learning opportunities. Moreover, online assessments have become increasingly important and now represent one of the most critical aspects of the educational process. Unfortunately, the role of ICT in higher education is still somewhat controversial.
The extreme situation caused by the COVID-19 pandemic provided an opportunity to revise our approach both to traditional and online learning, yet also posing challenges for the future of education systems. The main question of our research was whether the sudden transition to online teaching and learning caused by the COVID-19 pandemic had a negative impact on students academic performance and upon the reliability of the assessment process. We believe that our study can help to reduce the controversies related to remote learning and teaching.
Before the year 2020, the principal recipients of remote education were adults participating in professional development courses [ 21 ]. The COVID-19 pandemic outbreak, however, resulted in increased interest in methods of education that do not require physical meeting between students and teachers. The closure of educational institutions to mitigate the spread of COVID-19 compelled schools and universities to find alternative ways of continuing their operations. This led to the widespread adoption of online learning (e-learning).
The use of e-learning platforms has enabled the transformation of the traditional model of education in which the lecturer transmitted knowledge, into a model of supervised self-education. A separate line of research has been dedicated to the impact of remote education on university students, who are predominantly young adults, and, as such, are less subject to parental supervision. Topics under study include student attitudes towards distance learning [ 22 , 23 ], the technologies and learning platforms utilized [ 24 – 26 ], and the impact of network quality on the smoothness of classes [ 22 , 27 ].
A relatively well researched aspect of e-learning is the analysis of its advantages and disadvantages in comparison to traditional learning [ 28 – 30 ], including its application during the COVID-19 pandemic [ 31 – 34 ]. Undoubtedly, remote education has its benefits, among others, flexibility, speed, time savings [ 35 , 36 ], as well as better use of the infrastructure and organizational savings for the institution [ 37 ]. Distance learning in the form of e-learning also comes with drawbacks, for example, limited interpersonal contacts [ 38 ], lack of immediate feedback [ 39 , 40 ], and problems with self-discipline and adaptability [ 41 – 43 ]. Considering its strengths and weaknesses, e-learning can be viewed as either a replacement or augmentation of traditional approaches to education.
An integral part of remote education is the verification of its results. The topic was covered in literature in the pre-COVID era [ 44 – 46 ], but much less so during the pandemic [ 47 , 48 ]. Our work focuses on the analysis of student performance under the e-learning setup during COVID-19 related confinement and afterwards. The differentiating characteristic of this paper is the fact that it covers a longer period of time, unlike some other research focusing only on a single academic semester [ 49 ].
The COVID-19 pandemic has provided the opportunity to advance usage of online platforms and digital media, as well as to create new education strategies. It should be noted that most students (and instructors) adapted successfully to online teaching and learning [ 50 , 51 ]. However, certain studies [ 52 – 54 ] have indicated negative student feedback. In the year 2023, education has returned to more traditional teaching/learning approaches after more than two years of online learning.
The outbreak of COVID-19 presented a serious challenge to academic education by enforcing a drastic change in the teaching methods. For this reason, we formulated the following research questions:
The rest of the paper is structured as follows. Section 3 presents the context of the study, materials and methods. Section 4 explains the results obtained. Sections 5 and 6 conclude our work and describe limitations and future scope.
3.1. design and context.
The research was conducted in the Department of Computer Science of the Lublin University of Technology in Poland, the largest public technical university in the Lublin voivodship. This was a cross-sectional study carried out among students who were enrolled in the first semester of engineering studies in the academic years 2019/2020, 2020/2021 and 2021/2022 (from October to July). Because of the COVID-19 pandemic, the courses of interest in this study were conducted in different delivery formats (in-person, synchronous online and hybrid).
Traditional in-person course delivery format included lectures and laboratories. The former involved, primarily, oral presentations given to a group of students. A teacher-centered approach to learning was applied with discussion and multimedia presentation, as well as whiteboard or chalkboard visual aids to emphasize important points in the lecture. Moreover, a Learning Management System (Moodle LMS) was incorporated within the lectures to develop, organize, deliver and manage didactic materials and assess the effectiveness of education via tests, surveys or assignments. This tool was also employed to provide discussion forums. The faculty used the activity Quiz as a student self-assessment tool, as well as to determine knowledge and skills.
With regard to laboratory work, practical classes were conducted in programming laboratories for the selected courses. In such a teaching/learning format, we found that most students preferred working alone or conducting discussions with their partners or their neighbors.
All students used online manuals or didactic materials delivered by Moodle LMS. Final exams were held at the University via Moodle LMS through in-person proctoring, as this approach allowed the introduction of a live person to monitor the activity of students in a testing environment.
In the synchronous online course format, students obtained theoretical and practical education entirely online via Microsoft Teams by way of video meetings and Moodle LMS. Meetings in Teams include audio, video and screen sharing. All lectures were delivered synchronously using MS Teams. Practical sessions were conducted through online synchronous video meetings in small student groups. Interaction occurred via the discussion board, while MS Teams was also employed to enable scheduled online consultations. Supporting materials (videos, presentations, tasks to do, quizzes, and other didactic materials) were provided to the students through the Moodle LMS. Final exams were conducted under controlled conditions via Moodle LMS through online live proctoring by accepting screen, video and audio sharing.
The hybrid course delivery format combined in-person and online strategies. Students obtained theoretical education entirely online as synchronous sessions by way of MS Teams and Moodle LMS, whilst practical education was obtained through the traditional in-person format, in small student groups. Final exams were held at the University via Moodle LMS through in-person proctoring.
We analyzed exam scores across the first two years of the engineering studies using anonymous data from the Moodle. The Research Ethics Committee of Lublin University of Technology approved the study (Ethical Approval Reference: 3/2023).
The following criteria were used to select the courses:
Two compulsory courses met these criteria: 1 –Introduction to Computer Science and 2 –Numerical Analysis Algorithms. Both courses were conducted in the Polish language and they provided fundamental knowledge for all areas of Computer Science learning and skills development. Enrolled students were obligated to complete 30 lesson hours of theory and 30 lesson hours of practical experience within a course length of 15 weeks. In the full-time option, four hours of classes were given each course week, and were distributed into two two-hour sessions. Herein, the first consisted of a master class lecture and the second consisted of an interactive problem-based learning laboratory. In the part-time option, the number of in-person teaching hours was reduced to half and classes were held, on average, twice a month, on Saturday and Sunday.
The Introduction to Computer Science course is taught in the first year and is covered in the first semester. Students who successfully completed the course gained five credits, according to the European Credit Transfer and Accumulation System (ECTS). The intention of the offered course is to provide students with knowledge of standard algorithms and data structures, and to provide them with the skills to analyze both the theoretical complexity of algorithms and their practical behaviors. The course covers the following topics:
The knowledge and skills to implement and solve algorithmic problems using the mentioned algorithms are developed using Python.
The Numerical Analysis Algorithms course is taught in the second year and is covered in the third semester. Successful completion awards students with five credits, according to ECTS. The primary objective of the course is to develop basic understanding of numerical algorithms, as well as the skills to implement algorithms to solve computer-based mathematical problems. The course covers the following topics:
The knowledge and skills to implement and solve algorithmic problems using the mentioned algorithms were developed using C++ due to its object-oriented programming with high performance, efficient memory management, low-level access to hardware and a rich standard library, including mathematical functions commonly used in numerical algorithms. These allow students to write efficient and customizable numerical algorithms. Objective C++ was one of the courses of the first year of studies.
Study participants were selected from Computer Science students who were enrolled in the two mentioned compulsory courses: Introduction to Computer Science (ICS) (first semester) and Numerical Analysis Algorithms (NAA) (third semester). The first group of students began their studies in the academic year 2019/2020 in a traditional in-person course delivery format that was interrupted because of the confinement. They then continued their studies utilizing the synchronous online format. The second group consisted of students who began their studies in academic year 2020/2021 in the synchronous online format and continued these activities in a hybrid format. The third group of students began their studies in academic year 2021/2022 in a hybrid format that returned to an in-person format in the year 2022/2023. Online learning was supported by Moodle and MS Teams.
Only students enrolled in either the ICS and NAA courses participated in our research. Students who interrupted their studies and did not complete the courses were excluded. Thus, the study group included students who were enrolled in both courses and took both final exams. A total of 787 participants were selected. Table 1 summarizes the study participant groups according to education strategy.
https://doi.org/10.1371/journal.pone.0305763.t001
Males constituted 87.5% of the total study participants, while females constituted 12.5%. Regarding nationality, the majority, i.e. 85.5%, came from Poland, while 14.5% came from other countries, mainly Ukraine.
In this study, the Moodle platform provided by the Computer Science Department from the Lublin University of Technology was applied to conduct the final exam process. Comparative analysis of student academic performance was anchored on the results obtained in their final exams. Final exams were carried through the Moodle platform using Quiz activity . All exams comprised questions of various types, including Multiple Choice , Short Answer , Numerical and Essay as follows:
The number of multiple choice questions and short answer / numerical questions was comparable. One question was an essay question. Questions were created and stored separately in a Question bank and were organized into 10 categories according to the implemented curricula and learning outcomes. Each category consisted of at least 50 questions. Quiz settings were as follows:
Students were tested using the same evaluation methods and types of questions in in-person, synchronous online and hybrid groups. The Moodle platform collected assessment data and generated report statistics. The data containing students’ exam results (points) were collected and exported from the Moodle platform as.xlsx files.
Quiz statistics provided test statistics and quiz structure analysis. The test statistics gave information on how students performed on a quiz, and employed descriptive statistics: average grade, median grade, standard deviation of grades, skewness and kurtosis. A detailed analysis of each question was given in quiz structure analysis, and applied the following measures: facility index, discrimination index and discriminative efficiency. Discriminative efficiency is a measure similar to discrimination index [ 55 ].
In this work, facility index of a question was determined by the average score divided by the maximum score and represented as a percentage. A higher value indicated an easier question. The interpretation of its values is given in Table 2 [ 55 ].
https://doi.org/10.1371/journal.pone.0305763.t002
Discrimination index is the correlation between the score for this question and the score for the whole quiz represented as a percentage. If the score for the question and the score for the test are well correlated, the question can be categorized as a question with good discrimination. The maximum discrimination requires a facility index in the range 30%–70%, although this is not tantamount to high discrimination index. Discrimination index values should be interpreted according to Table 3 [ 55 ].
https://doi.org/10.1371/journal.pone.0305763.t003
A negative value of a discrimination index would mean that the best students got this question wrong more often than the worst students. A discrimination index of zero would mean it was a poor discriminator between good and bad students. Discrimination index is considered excellent when the value is higher than 40%, and considered good when it ranges from 20% to 40%.
The discriminative efficiency estimates how good the discrimination index is relative to the difficulty of the question. This attempts to discriminate between students of different ability, and the higher the value, the better is the question at discriminating between students of different abilities [ 55 ]. Values between 30%–50% provide adequate discrimination, while those above 50% provide very good discrimination.
Data collected was tabulated, and analysis was carried out by applying simple percentage analysis, as well as descriptive analysis, using mean, standard deviation and inferential analysis such as t-Student tests and ANOVA [ 56 , 57 ]. We performed non-parametric alternatives such as a Mann-Whitney U test and the Kruskal-Wallis test to compare samples that cannot be assumed to be normally distributed [ 58 , 59 ]. Statistical significance was set at p<0.05. Data analysis was performed using the Statistica Package, Version 13 (TIBCO Software Inc.).
Our study included 787 Computer Science students, aged 18 to 22 years. The participant background characteristics revealed that most students were male (87.5%) and native (Polish; 85.5%). Furthermore, most of the students were enrolled in full-time studies (85.5%) ( Table 4 ).
https://doi.org/10.1371/journal.pone.0305763.t004
The percentages of the students who began their studies in the academic years 2019/2020, 2020/2021 and 2021/2022 were comparable, around 30%. An important aspect of the analysis was the availability of data from the pre-pandemic period that was relevant for our investigations.
The comparison of in-person, synchronous online, and hybrid teaching methods in student learning outcomes based on background characteristics is presented in Tables 5 and 6 .
https://doi.org/10.1371/journal.pone.0305763.t005
https://doi.org/10.1371/journal.pone.0305763.t006
The findings indicated that for the first semester course Introduction to Computer Science, the relation between learning outcomes and student gender was insignificant (p = 0.427). Moreover, the relation between learning outcomes and study option was also insignificant (p = 0.223). However, there was statistically significant difference between learning outcomes and residency status (p < 0.001). The findings indicated that during in-person and online studies, native students had significantly higher learning outcomes than did non-native students (p < 0.001). In addition, full-time students of online studies had significantly higher learning outcomes (p = 0.002) than did part-time students.
Regarding the learning outcomes of the students as obtained in the third semester course Numerical Analysis Algorithms, gender and study options were also insignificant (p = 0.834; p = 0.157) in relation to learning outcomes. In contrast, residency status was significant (p < 0.001). The findings indicate that native students had significantly higher learning outcomes than did non-native students (p < 0.001). Moreover, full-time students of online studies had significantly higher learning outcomes as compared to part-time students (p = 0.011).
The comparison of teaching methods in participant performance based on different semesters (courses) is presented in Table 7 .
https://doi.org/10.1371/journal.pone.0305763.t007
The differences in mean scores related to the first semester course Introduction to Computer Science, during online and hybrid studies, were significantly higher compared to in-person studies (LSD post-hoc, p < 0.001). However, mean scores related to the third semester course Numerical Analysis Algorithms, during online and hybrid studies, were significantly lower in comparison to in-person studies (LSD post-hoc, p < 0.001). Switching to traditional in-person studies in the academic year 2022/2023 did not degrade student performance.
Tables 8 and 9 reveal the facility index, discrimination index and discriminative efficiency values from the final exams held from 2019/2020 to 2022/2023.
https://doi.org/10.1371/journal.pone.0305763.t008
https://doi.org/10.1371/journal.pone.0305763.t009
The lowest mean facility index was 47% ± 25%, while the highest mean facility index was 59% ± 20%. Moreover, the mean discrimination index was located within the range between 31% and 37% and the mean discriminative efficiency was found within the range between 43% and 54%. The results indicate, with regard to facility index, that most of the questions were moderately difficult, yet about right for the average student, and demonstrated adequate discrimination—regardless of the course delivery format.
In our study, we compared the learning outcomes of Computer Science students who were taught through synchronous online and hybrid systems, to those who learned in the traditional in-person system, and this revealed significantly higher learning outcomes when taught through online and hybrid systems versus in-person. It is worth noting that student scores showed an increasing trend in the years 2019–2023. Despite this, the significant difference in the results of the students’ final examination was not too large–as it did not exceed 10% of the maximal score.
A comparison between the student groups demonstrates that utilizing synchronous online learning can result in more enhanced educational opportunities for students. However, our findings indicated that native students had significantly higher learning outcomes than did non-native students. The reason could be that the study courses were held in Polish, which is a difficult language for non-native students to learn and utilize.
Several research studies have shown that online learning and the combination of online and in-person learning systems have positive and powerful roles in enhancing the effectiveness of education [ 19 , 29 , 41 , 47 , 60 ]. However, along with enhanced accessibility and flexibility, pure online learning also has several disadvantages, notably, the lack of interpersonal contacts and student satisfaction. In the hybrid form, however, flexibility and accessibility are enhanced, while human connection occurs.
Our results indicated that synchronous online learning could be appreciated as a successful method of conducting Computer Science education and can be used as a tool supporting traditional in-person methods. Although this approach is a little less flexible for teachers and students, and requires reliable technology, in comparison to asynchronous learning, this allows for more real time engagement and feedback [ 61 ].
As the effective measurement of knowledge acquired is an important component of Computer Science education, the use of the Moodle quizzes activity as a continuous assessment of students was analyzed according to statistical data such as the facility index, discrimination index and discriminative efficiency. Out of the exam tests conducted from the academic year 2019/2020 to 2022/2023, the mean facility index scores ranged from 47% to 59% and the mean discrimination index ranged from 31% to 37%. The statistic results indicated that, regarding facility index, most of the questions were moderately difficult and about right for the average student regardless of the course delivery format, and that a consistent and adequate level of discrimination indices was maintained. In addition, the similar results obtained in our study no matter the year, with three different groups of students, also confirmed the validity and reliability of the designed exam tests.
Although online learning requires extensive self-discipline, it allows universities to integrate new technologies into their offer, and hence, effectively facilitate the student learning process. After the COVID-19 pandemic, there has been a quick transition back to in-person teaching, but still there are many proffered activities being in an online format. At present, many students state that they prefer to learn through hybrid learning methods. Furthermore, several studies have shown that e-learning methods are used widely by students outside of their formal curricula for continuing their professional education [ 62 ]. This indicates that students and professionals appreciate and take advantage of self-paced learning environments in which they control their learning pace, information flow, selection of learning activities, as well as their time management. Thus, the digital transformation of the educational process has become a necessity to meet shifting student demands and seems to be one of the leading factors that affect current teaching methodology.
It is worth noting that the extreme situation caused by the COVID-19 pandemic provided an opportunity to revise our approach, both to traditional and online learning, but also posed challenges for the future of education systems. In conclusion, the results of the analysis allow us to answer the questions formulated before in the following way.
Our context is algorithms and programming in the first two years of the engineering studies program. While we believe that the long period under study is an advantage of this work, its limitation is the fact that it focuses only on the students of Computer Science. We based our research on the data comprising the performance of students in only two courses. Moreover, only the exam scores from the 1 st and 3 rd semesters were included in the study. The courses of other semesters were not assessed because they did not meet the required assumptions regarding the course selection. Another limitation of our study was that students could share information about the content of the exam. However, we randomly assigned students to subcategory sets to avoid sharing information. In the future it is worth considering extending the analysis to students of other fields, as well as take into account student performance in more courses.
The authors thank Mr Jack Dunster for linguistic improvement of the text.
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Others are reading: CDC says COVID is at 'very high' activity levels in some US states: See latest data
So what does that mean for those who get sick? How should they handle their return to normal life?
According to the Kentucky Respiratory Disease Dashboard , emergency departments have had 762 visits by patients with COVID-19 in August of the 2023-2024 season. The dashboard was last updated on Thursday, Aug. 8.
In July, there were 1,726 visits to the emergency room, according to the dashboard.
In August of the 2023-2024 season, 171 people with COVID-19 were admitted to the hospital in Kentucky, according to the dashboard, which was last updated on Thursday. In July, 459 people were admitted to the hospital with COVID-19.
Jefferson County Public Schools spokesperson Carolyn Callahan said students can return to school when their symptoms have improved and if they have not have a fever for the past 24 without medicine.
She said students must mask for five days when they return to school.
The Centers for Disease Control and Prevention earlier this year dropped its recommendation that adults stay at home for five days after a positive test, a controversial decision that elicited opposition from some doctors and public health experts.
Since March, the CDC has recommended people stay at home until their symptoms are improving and they have been fever-free for at least a day.
However, local doctors say it's best to stay at home for five days if possible, especially for those who may come into contact with people at higher risk for severe COVID-19 symptoms.
Older adults and those with chronic health issues and compromised immune systems are at risk for severe COVID that could lead to hospitalization and or symptoms that last months. So those who take care of older parents or who work in health care facilities may want to be more cautious by staying at home and mask when they see vulnerable people.
Regardless of which virus a person has, COVID-19 has taught everyone that respiratory diseases like COVID and the flu spread through droplets when people are talking or coughing, said Dr. Robin Ledyard, an administrator at Community Health Network. So, no matter the virus, masks can reduce transmission.
Those at risk of developing severe and long COVID-19 symptoms should get tested and treated, said Carlos.
Long COVID-19 symptoms include fatigue, brain fog, joint aches and even a fast heart rate that comes out of nowhere, he said.
People with COVID-19 can start showing symptoms 2-14 days after they have been exposed to the virus, according to the CDC.
Although not all of them, since they can change with the new variants, here are some of the symptoms people can experience:
Others are reading: What are CDC guidelines for summer COVID surge? Symptoms, long covid, free tests, vaccines
Chris Sims contributed to this article.
An essay written by Amanda Jaggernath, a prospective 7th grader at M.S. 137 America’s School of Heroes in Ozone Park , earned her more than just the admiration of City Councilwoman Joann Ariola last week.
Accompanied by her mother, Sharmillie Haymchand, and Councilwoman Ariola, Jaggernath talked with fellow members of the City Council, voted on the chamber floor, and went on a tour of the historic legislative building.
“I am honored to represent my school here at City Hall,” Jaggernath said while addressing the Council from the chamber floor. “I’m incredibly excited to be here and have the opportunity to meet with all of you.”
The student’s heartfelt paper about her physical education teacher at M.S. 137, Heather Avagnano, secured her victory in the neighborhood-wide contest and paved the way for her day of parliament.
Jaggernath’s essay on Ms. Avagnano recognizes her gym teacher as both an educator and a former member of the United States Navy. It shares how Avagnano pushed ahead in her pursuit of service to her country despite the difficulties of being away from her family.
The honorary council member for the day also highlighted her teacher’s most memorable moments in the Navy, sailing out to sea on the USS L. Y. SPEAR (AS-36) during the Persian Gulf War.
The Navy veteran kept a family tradition of serving the country in the United States Military. Further reporting by QNS found that Avagnano followed in her father’s footsteps, having served in the U.S. Navy during the Korean War. Her Grandfather served in the U.S. Army during WWI and Avagano’s family is on track to continue the military service tradition.
So honored and thankful how my school celebrates Veteran’s Day through various displays in the school! Very much appreciated!!! #VeteransDay2021 @Principal_Trin @MS137Heroes @mrbennici28 @District27NYC pic.twitter.com/3YTVdiUmuq — Heather Avagnano (@HAvagnano) November 10, 2021
“She has such a bright future ahead, is part of so many activities in her school and is active in her student government,” Ariola added. “I know that this will not be the last time I see Amanda, and I know she will do great in whatever journeys she embarks on in the years to come.”
However, after a long day in the legislative halls and chambers, the group settled on a more relaxed setting, Little Italy Pizza near City Hall, where Jaggernath, her mother, and Councilwoman Ariola enjoyed a slice of pizza.
In her remarks at City Hall, Jaggernath confidently highlighted the key lesson she took away from the experience.
“This just proves that despite the challenges my hardworking immigrant parent has faced to give me the best education, that I can achieve anything in life possible for me and my family,” Jaggernath added.
Anthony Medina (he/him) is a reporter for QNS, the Ridgewood Times and Times Newsweekly Newspapers.
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Young people are faring better in their mental health in the past few years after a period of increased sadness and hopelessness during the COVID-19 pandemic, a report by the Centers for Disease Control and Prevention found.
The data released last week showed a 2% decrease from 2021 to 2023 in high school students reporting they felt sad or hopeless. The total dropped from 42% to 40% of students who reported having these feelings, marking the first time the annual Youth Risk Behavior Survey didn’t report an increase in over a decade.
But mental and behavioral health experts aren’t celebrating a victory just yet. This is because reported rates of kids feeling sad or hopeless remain high, especially teenage girls who showed a decrease, from 57% to 53% cases, over those two years.
“We’ve made some progress tackling these issues in recent years, which proves that they are not insurmountable,” said Kathleen Ethier, director of the CDC’s adolescent and school health division. “However, there’s still much work ahead.”
The new report also found small but meaningful improvements among students in marginalized groups.
Four percent fewer Hispanic teens over those two years felt persistently sad or hopeless, experienced poor mental health and seriously considered attempting suicide, and 3% fewer made a suicide plan.
Black teens also saw a 4% decrease in students who reported they'd attempted suicide and a 2% decrease in people injured in a suicide attempt.
Ariana Hoet, a pediatric psychologist and executive clinical director of The Kids Mental Health Foundation, said increased awareness, government funding and school programs can partially explain why youth mental health has improved over the past few years.
“The pandemic opened our eyes (to the fact) that children’s mental health was a concern,” she said. “People are looking for resources and accessing resources more frequently.”
There has also been a concerted effort to highlight the causes of despair in young adults.
Last year, U.S. Surgeon General Dr. Vivek Murthy issued a health advisory that highlighted the impact of social media on young people's mental health. The White House also awarded hundreds of millions of dollars to mental and behavioral health care programs in schools and at-risk communities.
Dr. Elizabeth Ortiz-Schwartz, a child psychiatrist at Silver Hill Hospital in Connecticut, said the return to in-class learning and extracurricular activities may have also helped improve students' mental health.
“There’s more opportunities to integrate (and) socialize with peers,” she said. “The normalization of activities was probably very helpful.”
Returning to classrooms also meant going back to stressors like academic pressure, bullying and in-school violence, Ortiz-Schwartz said.
The CDC report found increases in students being threatened or injured with a weapon at school, being bullied at school or missing school due to safety concerns at school or en route to school.
The percentage of female students who missed school increased from 10% to 16% in those two years, and nearly 20% of females experienced sexual violence in 2023, according to the survey. Almost 30% of LGBTQ+ students said they were bullied and 20% missed school due to safety concerns.
The rise in violence may be a natural consequence of returning to in-person classes where there are more opportunities for physical encounters, experts said. But they said there may be more at play.
Ortiz-Schwartz has noticed that some of her patients after quarantine seemed developmentally stunted, exhibiting social-emotional behaviors she normally sees in younger kids.
The increase in violence and bullying in the data may also be a product of social media normalizing aggressive language and behaviors, leading to less self-censoring and more bullying when kids are together in person.
Another area that adults should note, said Hoet, from The Kids Mental Health Foundation, is how the behavior manifests itself so they can teach teens to cope.
“Children tend to show depression with irritability,” Hoet said. “We have to teach emotional regulation… being angry is okay, being angry is normal but we have to find a way to cope with that anger.”
Not all students were hard hit by COVID-19.
A report published by the Springtide Research Institute in July found that 13-year-olds had positive outcomes during the pandemic. Out of the 1,000 kids surveyed, nearly 50% said the COVID-19 pandemic had a positive impact on their family relationships.
While the results appear hopeful, researchers noted that the survey answers heavily varied based on a teen's household income. Among kids with an above-average household income, 64% said the pandemic had a positive impact on family relationships. However, only 34% of kids with a below-average household income experienced a positive impact on their family relations.
“Some kids probably loved (staying at home) and really thrived and then some kids didn’t and it’s because each environment is different,” Hoet said.
The report emphasizes that students have unique needs, said Dr. Laura Erickson-Schroth, chief medical officer at The Jed Foundation, a nonprofit focused on emotional health and suicide prevention for teens and young adults.
“We really need to pay attention to the reasons why young people are in the situations (and) the reasons why young people are having trouble seeking out help when they need it,” she said.
Educators should continue to improve on programs and curriculum at school, however, the best protector of mental health is child-adult relationships and that starts at home with parents and guardians, Hoet said.
The CDC also says increasing health education, connecting young people to health services and making school environments safer and more supportive are key to improving mental health.
“This work is far from complete,” said Dr. Debra Houry, CDC’s chief medical officer and deputy director for program and science “Every child should feel safe and supported, and CDC will continue its work to turn this data into action until we reach that goal.”
Adrianna Rodriguez can be reached at [email protected].
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This year, the Common App is including a special 250-word section allowing students to describe the impacts of COVID-19 on their lives. Here's the official word from the Common App website: . We want to provide colleges with the information they need, with the goal of having students answer COVID-19 questions only once while using the rest of the application as they would have before to ...
Writing About COVID-19 in College Essays. Experts say students should be honest and not limit themselves to merely their experiences with the pandemic. The global impact of COVID-19, the disease ...
Students working on college admission essays often struggle to figure out how to write about their experiences during the COVID-19 pandemic. For students applying to college using the CommonApp, there are several different places where students and counselors can address the pandemic's impact. The different sections have differing goals.
Please find below a sample of a short essay on Covid-19 for school students: Also Read: Essay on Women's Day in 200 and 500 words. FAQs. How to write an essay on COVID-19? to write an essay on COVID-19, understand your word limit and make sure to cover all the stages and symptoms of this disease. You need to highlight all the challenges and ...
Writing About Coronavirus in Main and Supplemental Essays. Students can choose to write a full-length college essay on the coronavirus or summarize their experience in a shorter form. To help ...
This year the Common App, the nation's most-used application, added a question inviting students to write about the impact of Covid-19 on their lives and educations.
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Introduction. The global outbreak of COVID-19 has certainly taken an overwhelming toll on everyone. People have lost their jobs, their homes, and even their lives. There is no getting past the fact that the overall impact on the world has been negative, but it is important to realize that positive aspects of the pandemic have been overshadowed ...
For Black students, the number spikes to 25 percent. "There are many reasons to believe the Covid-19 impacts might be larger for children in poverty and children of color," Kuhfeld wrote in the study. Their families suffer higher rates of infection, and the economic burden disproportionately falls on Black and Hispanic parents, who are less ...
100 Words Essay on Covid 19. COVID-19 or Corona Virus is a novel coronavirus that was first identified in 2019. It is similar to other coronaviruses, such as SARS-CoV and MERS-CoV, but it is more contagious and has caused more severe respiratory illness in people who have been infected. The novel coronavirus became a global pandemic in a very ...
The COVID-19 pandemic has had a profound impact on individuals, societies, and economies worldwide. Its multifaceted nature presents a wealth of topics suitable for academic exploration. This essay provides guidance on developing engaging and insightful essay topics related to COVID-19, offering a comprehensive range of perspectives to choose from.
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 ...
My COVID-19 Perspective Hi there, my name is Jack Gardner, a 5th year student at Purdue University. The COVID-19 pandemic is truly what we describe as a "Black Swan" event, meaning that no-one could have predicted it happening, but the impact it has on society is profound. ... change forever. Today, I am writing this short reflective essay ...
Alex, a writer and fellow disabled parent, found the freedom to explore a fuller version of herself in the privacy the pandemic provided. "The way I dress, the way I love, and the way I carry ...
The students enjoyed seeing how this idea can drive both domestic and international health policies." A sampling of the published student essays are below: Alexander Giummo '22 and Mike Dunderdale's '23 op-ed titled "A National Testing Proposal: Let's Fight Back Against COVID-19" was published in the Journal Inquirer in Manchester ...
Read these 12 moving essays about life during coronavirus. Artists, novelists, critics, and essayists are writing the first draft of history. A woman wearing a face mask in Miami. Alissa Wilkinson ...
Our findings on academic outcomes indicate that COVID-19 has led to a large number of students delaying graduation (13%), withdrawing from classes (11%), and intending to change majors (12%). Moreover, approximately 50% of our sample separately reported a decrease in study hours and in their academic performance.
In these short essays below, teacher Claire Marie Grogan's 11th grade students at Oceanside High School on Long Island, N.Y., describe their pandemic experiences. ... My mom had COVID-19 for ten ...
A Catalogue of 300 Best Persuasive Essay Topics for Students; Persuasive Essay Outline - A Complete Guide; 30+ Persuasive Essay Examples To Get You Started; ... Impact of COVID-19 Essay. Covid19, also known as Coronavirus, is an infectious disease that has had a major impact on the world. Since its emergence in late 2019, COVID-19 has infected ...
A student wearing a protective mask, attends class on the first day of school, amid the coronavirus disease (COVID-19) pandemic, at St. Lawrence Catholic School in North Miami Beach, Florida, U.S ...
A long-lasting impact has been created by the notorious COVID-19 from which it'll take many months to recover if not years. The education industry has not been ignored and therefore the impact of COVID-19 on student life is visible. Whether it's the non-public lifetime of students or the environment of college and colleges, the coronavirus ...
The COVID-19 outbreak has had a huge impact on both physical and social well-being of a lot of Americans, including me. Stress has been governing the lives of so many civilians, in particular students and workers. In addition to causing a lack of motivation in my life, quarantine has also brought a wave of anxiety.
The Covid 19 pandemic has affected many aspects of school life, all in order to prevent any further spread of the disease. Our school is working hard to go back to the normal school life we used to have before the global pandemic. Yet, parents are still worried about their kids, and teachers about their students.
The COVID-19 pandemic had radically changed higher education. The sudden transition to online teaching and learning exposed, however, some benefits by enhancing educational flexibility and digitization. The long-term effects of these changes are currently unknown, but a key question concerns their effect on student learning outcomes. This study aims to analyze the impact of the emergence of ...
Respiratory illness basics Respiratory illnesses including flu, COVID-19, and RSV impact millions each year. Protect yourself and others by wearing a high-quality face mask in crowded indoor settings; remaining at home if unwell; and staying up to date on vaccines. WPI is following CDC guidance to manage all respiratory illnesses including COVID-19, also summarized in the graphic below.
DOI: 10.1080/23727810.2024.2359617 Corpus ID: 271549064; Addressing K-12 Student's Academic, Mental Health, and Career Development Needs During COVID-19 @article{Limberg2024AddressingKS, title={Addressing K-12 Student's Academic, Mental Health, and Career Development Needs During COVID-19}, author={Dodie Limberg and Shelby K. Gonzales and Alexander M. Fields and Cara M. Thompson and Rachel ...
The Vermont Supreme Court ruled that a family cannot sue a school district after a mix-up led to their child being given the COVID-19 vaccine without their consent, contrary to posts online saying ...
In July, there were 1,726 visits to the emergency room, according to the dashboard. In August of the 2023-2024 season, 171 people with COVID-19 were admitted to the hospital in Kentucky, according ...
An essay by Amanda Jaggernath, an incoming 7th grader at M.S. 137 America's School of Heroes in Ozone Park, earned the admiration of City Councilwoman Joann Ariola and broader recognition across ...
Not all students were hard hit by COVID-19. A report published by the Springtide Research Institute in July found that 13-year-olds had positive outcomes during the pandemic. Out of the 1,000 kids ...