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      Primary school mathematics during the COVID-19 pandemic: No evidence of learning gaps in adaptive practicing results

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          Abstract

          Background

          The COVID-19 pandemic induced many governments to close schools for months. Evidence so far suggests that learning has suffered as a result. Here, it is investigated whether forms of computer-assisted learning mitigated the decrements in learning observed during the lockdown.

          Method

          Performance of 53,656 primary school students who used adaptive practicing software for mathematics was compared to performance of similar students in the preceding year.

          Results

          During the lockdown progress was faster than it had been the year before, contradicting results reported so far. These enhanced gains were correlated with increased use, and remained after the lockdown ended. This was the case for all grades but more so for lower grades and for weak students, but less so for students in schools with disadvantaged populations.

          Conclusions

          These results suggest that adaptive practicing software may mitigate, or even reverse, the negative effects of school closures on mathematics learning.

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          Most cited references17

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          The effect of large-scale anti-contagion policies on the COVID-19 pandemic

          Governments around the world are responding to the coronavirus disease 2019 (COVID-19) pandemic1, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), with unprecedented policies designed to slow the growth rate of infections. Many policies, such as closing schools and restricting populations to their homes, impose large and visible costs on society; however, their benefits cannot be directly observed and are currently understood only through process-based simulations2-4. Here we compile data on 1,700 local, regional and national non-pharmaceutical interventions that were deployed in the ongoing pandemic across localities in China, South Korea, Italy, Iran, France and the United States. We then apply reduced-form econometric methods, commonly used to measure the effect of policies on economic growth5,6, to empirically evaluate the effect that these anti-contagion policies have had on the growth rate of infections. In the absence of policy actions, we estimate that early infections of COVID-19 exhibit exponential growth rates of approximately 38% per day. We find that anti-contagion policies have significantly and substantially slowed this growth. Some policies have different effects on different populations, but we obtain consistent evidence that the policy packages that were deployed to reduce the rate of transmission achieved large, beneficial and measurable health outcomes. We estimate that across these 6 countries, interventions prevented or delayed on the order of 61 million confirmed cases, corresponding to averting approximately 495 million total infections. These findings may help to inform decisions regarding whether or when these policies should be deployed, intensified or lifted, and they can support policy-making in the more than 180 other countries in which COVID-19 has been reported7.
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            Projecting the Potential Impact of COVID-19 School Closures on Academic Achievement

            As the COVID-19 pandemic upended the 2019–2020 school year, education systems scrambled to meet the needs of students and families with little available data on how school closures may impact learning. In this study, we produced a series of projections of COVID-19-related learning loss based on (a) estimates from absenteeism literature and (b) analyses of summer learning patterns of 5 million students. Under our projections, returning students are expected to start fall 2020 with approximately 63 to 68% of the learning gains in reading and 37 to 50% of the learning gains in mathematics relative to a typical school year. However, we project that losing ground during the school closures was not universal, with the top third of students potentially making gains in reading.
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              The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems

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                Author and article information

                Journal
                Trends Neurosci Educ
                Trends Neurosci Educ
                Trends in Neuroscience and Education
                The Author. Published by Elsevier GmbH.
                2452-0837
                2211-9493
                3 October 2021
                December 2021
                3 October 2021
                : 25
                : 100163
                Affiliations
                [0001]LEARN! Research Institute, Vrije Universiteit Amsterdam, V.d. Boechorststraat 7, 1081 BT Amsterdam, the Netherlands
                Article
                S2211-9493(21)00015-6 100163
                10.1016/j.tine.2021.100163
                8487463
                34844699
                958c2c4e-3755-451e-96f3-cf2adc05b59a
                © 2021 The Author

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

                History
                : 20 August 2021
                : 1 October 2021
                : 2 October 2021
                Categories
                Article

                primary school,mathematics,adaptive practice,covid-19,school closures

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