The impact of Covid-19 on student achievement: Evidence from a recent meta-analysis

Educational Research Review, Год журнала: 2023, Номер 39, С. 100530 - 100530

Опубликована: Март 21, 2023

This work attempts to synthetize existing research about the impact of Covid-19 school closure on student achievement. It extends previous systematic reviews and meta-analyses by (a) using a more balanced sample in terms country composition, (b) considering new moderators (type data design), (c) including studies tertiary education students addition primary secondary students. Our meta-analysis findings show that pandemic had, average, detrimental effect learning. The magnitude this learning deficit (about 0.19 standard deviations achievement) appears be roughly comparable suffered who have experienced significant disruption their schooling due major natural disaster (e.g., Hurricane Katrina). Students are also found lost ground math/science than other subjects. Additionally, one year or after first lockdown, seem been unable catch up unfinished from pandemic. result suggests efforts should made ensure recover missed order avoid negative long-term consequences for them society.

Язык: Английский

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COVID-19, School Closures, and Student Learning Outcomes: New Global Evidence from PISA

World Bank, Washington, DC eBooks, Год журнала: 2024, Номер unknown

Опубликована: Янв. 22, 2024

The COVID-19 pandemic resulted in significant disruption schooling worldwide. This paper uses global test score data to estimate learning losses. It models the effect of school closures on achievement by predicting deviation most recent results from a linear trend using all rounds Programme for International Student Assessment. Scores declined an average 14 percent standard deviation, roughly equal seven months learning. Losses were greater students schools that faced relatively longer closures, boys, immigrants, and disadvantaged students. Educational losses may translate into national income over time.

Язык: Английский

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A modeling study to define guidelines for antigen screening in schools and workplaces to mitigate COVID-19 outbreaks

Communications Medicine, Год журнала: 2025, Номер 5(1)

Опубликована: Янв. 3, 2025

In-person interaction offers invaluable benefits to people. To guarantee safe in-person activities during a COVID-19 outbreak, effective identification of infectious individuals is essential. In this study, we aim analyze the impact screening with antigen tests in schools and workplaces on identifying infections. We assess effectiveness various test strategies through quantitative simulations. The primary outcome our analyses proportion infected identified. transmission process at population level modeled using deterministic compartmental model. Infected are identified or symptom development. time-varying sensitivity infectiousness determined by viral dynamics Screening characterized schedule, tests, duration, timing initiation, available per person. Here, show that early frequent key maximizing program. For example, 44.5% (95% CI: 40.8–47.5) daily testing, whereas it only 33.7% 30.5–37.3) when testing performed end program duration. If high (Detection limit: $$6.3\times {10}^{4}$$ copies/mL) deployed, reaches 69.3% 66.5–72.5). High frequency immediate initiation important safely restart educational economic in-person. Our computational framework useful for assessing programs incorporating situation-specific factors. During pandemic, people actively sought safer ways resume while keeping risk infection low. this, may have been implement regular places like workplaces, since these can identify positive cases help prevent spread virus within settings. introduce computer model evaluates different those facilities. involves how spreads between human body, considering accuracy change as progresses. study examines strategies. simulations demonstrate highly sensitive conducting screenings, starting immediately crucial effectively cases. approach be flexibly expanded future consider factors vaccination new variants. Jeong, Ejima Kim et al. infections workplaces. A employed determine best such within-host dynamics, transmissions, schedules sensitivity.

Язык: Английский

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Reading achievement declines during the COVID-19 pandemic: evidence from 5 million U.S. students in grades 3–8

Reading and Writing, Год журнала: 2022, Номер 36(2), С. 245 - 261

Опубликована: Авг. 17, 2022

Язык: Английский

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High-quality digital distance teaching during COVID-19 school closures: Does familiarity with technology matter?

Computers & Education, Год журнала: 2023, Номер 199, С. 104788 - 104788

Опубликована: Март 22, 2023

During the COVID-19-related school closures teachers and students were challenged to suddenly switch digital teaching at a distance. In particular, challenge was organize high-quality in which stay on task. Familiarity with technology may have helped master situation. However, only few studies so far examined quality of distance (e.g., cognitive activation) during its relation students' learning effort investment). Moreover, systematic research concerning role familiarity technology-enhanced acquired face-to-face is yet lacking. our study, we used data from 729 ninth graders investigate how student-observed activities when using related two subjects (mathematics, German). addition, whether student-perceived activation mediated this relation. Finally, sample provides unique opportunity examine familiarity, as some classes had been randomly equipped tablet computers one year before thus gain classroom. Results structural equation models showed that associated both subjects. Student-perceived association. gained COVID-19 pandemic appeared be less important for teaching. Thus, infrastructural measures, such equipping schools devices can familiarize themselves technology, do not seem decisive (distance) teaching-at least case short-term change teaching, necessary pandemic.

Язык: Английский

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What was a gap is now a chasm: Remote schooling, the digital divide, and educational inequities resulting from the COVID-19 pandemic

Current Opinion in Psychology, Год журнала: 2023, Номер 52, С. 101632 - 101632

Опубликована: Июнь 12, 2023

Язык: Английский

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The European Union’s post-pandemic strategies for public health, economic recovery, and social resilience

Global Transitions, Год журнала: 2023, Номер 5, С. 201 - 209

Опубликована: Янв. 1, 2023

The European Union has implemented various strategies and policies to mitigate the effects of coronavirus-19 pandemic promote recovery. This article reviews Union's response management decisions, examines public health measures contain virus, explores economic recovery support initiatives. These include "NextGenerationEU" fund, "European Support" instrument "Unemployment Risks in an Emergency" (SURE) program, Multiannual Financial Framework recognizing EU's efforts social welfare inclusion during pandemic. challenges lessons learned from experience are analyzed, highlighting importance solidarity, cooperation, resilience crisis management. Drawing pandemic, this study prospects conclusions drawn need for building more resilient healthcare systems, fostering environmentally sustainable initiatives, strengthening protection inclusion, enhancing preparedness response, promoting global equity.

Язык: Английский

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Association Between the COVID-19 Pandemic and Early Childhood Development

JAMA Pediatrics, Год журнала: 2023, Номер 177(9), С. 930 - 930

Опубликована: Июль 10, 2023

Although a growing number of studies have reported negative associations the COVID-19 pandemic with academic performance among school-aged children, less is known about pandemic's association early childhood development.To examine between and development.In this cohort study conducted in all accredited nursery centers Japanese municipality, baseline surveys children aged 1 3 years (1000 922, respectively) were 2017 2019, participants followed up for 2 years.Children's development was compared at age or 5 cohorts that exposed to during follow-up not.Children's developmental measured by teachers using Kinder Infant Development Scale (KIDS). Data analyzed December 8, 2022, May 6, 2023.A total 447 (201 girls [45.0%] 246 boys [55.0%]) year years, 440 (200 [45.5%] 240 [54.5%]) years. During follow-up, 4.39 months behind not (coefficient, -4.39; 95% credible interval, -7.66 -1.27). Such observed 1.32; -0.44 3.01). Variations greater than before regardless age. Additionally, quality care positively associated 2.01; 0.58-3.44), while parental depression appeared amplify delayed (coefficient interaction, -2.62; -4.80 -0.49; P = .009).The findings showed an exposure widened It important identify delays provide them support learning, socialization, physical mental health, family support.

Язык: Английский

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The Impact of School Closures on Learning and Mental Health of Children: Lessons From the COVID-19 Pandemic

Perspectives on Psychological Science, Год журнала: 2023, Номер 19(4), С. 686 - 693

Опубликована: Июль 10, 2023

To curb the spread of coronavirus, almost all countries implemented nationwide school closures. Suddenly, students experienced a serious disruption to their and social lives. In this article, we argue that psychological research offers crucial insights for guiding policy about closures during crises. end, review existing literature on impact COVID-19 pandemic children’s learning mental health. We find unprecedented scale length resulted in substantial deficit deterioration then provide recommendations how ensure psychosocial development future. Specifically, recommend more attention should be paid from marginalized groups who are most need intervention, evidence-informed personality-tailored mental-health social- emotional-learning programs schools, generational labels avoided.

Язык: Английский

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A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence

Bioengineering, Год журнала: 2023, Номер 10(4), С. 439 - 439

Опубликована: Март 31, 2023

The coronavirus pandemic emerged in early 2020 and turned out to be deadly, killing a vast number of people all around the world. Fortunately, vaccines have been discovered, they seem effectual controlling severe prognosis induced by virus. reverse transcription-polymerase chain reaction (RT-PCR) test is current golden standard for diagnosing different infectious diseases, including COVID-19; however, it not always accurate. Therefore, extremely crucial find an alternative diagnosis method which can support results RT-PCR test. Hence, decision system has proposed this study that uses machine learning deep techniques predict COVID-19 patient using clinical, demographic blood markers. data used research were collected from two Manipal hospitals India custom-made, stacked, multi-level ensemble classifier diagnosis. Deep such as neural networks (DNN) one-dimensional convolutional (1D-CNN) also utilized. Further, explainable artificial (XAI) Shapley additive values (SHAP), ELI5, local interpretable model explainer (LIME), QLattice make models more precise understandable. Among algorithms, stacked obtained excellent accuracy 96%. precision, recall, f1-score AUC 94%, 95%, 94% 98% respectively. initial screening patients help ease existing burden on medical infrastructure.

Язык: Английский

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