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      Evaluating Students’ Engagement with an Online Learning Environment During and After COVID-19 Related School Closures: A Survival Analysis Approach

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          Abstract

          Background

          Due to the COVID-19 pandemic schools all over the world were closed and thereby students had to be instructed from distance. Consequently, the use of online learning environments for online distance learning increased massively. However, the perseverance of using online learning environments during and after school closures remains to be investigated.

          Method

          We examined German students’ (n ≈ 300,000 students; ≈ 18 million computed problem sets) engagement in an online learning environment for mathematics by means of survival analysis.

          Results

          We observed that the total number of students who registered increased considerably during and after school closures compared to the previous three years. Importantly, however, the proportion of students engaged also decreased more rapidly over time.

          Conclusion

          The application of survival analysis provided valuable insights into students’ engagement in online learning - or conversely students’ increased dropout rates - over time. Its application to educational settings allows to address a broader range of questions on students’ engagement in online learning environments in the future.

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          Most cited references44

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          The "What" and "Why" of Goal Pursuits: Human Needs and the Self-Determination of Behavior

          Psychological Inquiry, 11(4), 227-268
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            Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions

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              Is Open Access

              Understanding survival analysis: Kaplan-Meier estimate

              Kaplan-Meier estimate is one of the best options to be used to measure the fraction of subjects living for a certain amount of time after treatment. In clinical trials or community trials, the effect of an intervention is assessed by measuring the number of subjects survived or saved after that intervention over a period of time. The time starting from a defined point to the occurrence of a given event, for example death is called as survival time and the analysis of group data as survival analysis. This can be affected by subjects under study that are uncooperative and refused to be remained in the study or when some of the subjects may not experience the event or death before the end of the study, although they would have experienced or died if observation continued, or we lose touch with them midway in the study. We label these situations as censored observations. The Kaplan-Meier estimate is the simplest way of computing the survival over time in spite of all these difficulties associated with subjects or situations. The survival curve can be created assuming various situations. It involves computing of probabilities of occurrence of event at a certain point of time and multiplying these successive probabilities by any earlier computed probabilities to get the final estimate. This can be calculated for two groups of subjects and also their statistical difference in the survivals. This can be used in Ayurveda research when they are comparing two drugs and looking for survival of subjects.
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                Author and article information

                Journal
                Trends Neurosci Educ
                Trends Neurosci Educ
                Trends in Neuroscience and Education
                Elsevier GmbH.
                2452-0837
                2211-9493
                18 November 2021
                18 November 2021
                : 100168
                Affiliations
                [1 ]Albert-Ludwigs-Universität Freiburg, 79085 Freiburg, Germany
                [2 ]Ludwig-Maximilian-Universität München, 80802 München, Germany
                [3 ]University of Stuttgart, 70174 Stuttgart, Germany
                [4 ]Max Planck Institute for Intelligent Systems, Tuebingen, Germany
                [5 ]Centre for Mathematical Cognition, School of Science, Loughborough University, Loughborough, United Kingdom
                [6 ]Leibniz-Institut fuer Wissensmedien, Tuebingen, Germany
                [7 ]LEAD Graduate School and Research Network, University of Tuebingen, Germany
                [8 ]Individual Development and Adaptive Education for Children at Risk Center, Frankfurt am Main, Germany
                Author notes
                [* ]Correspondence: Markus Wolfgang Hermann Spitzer, Albert-Ludwigs- University of Freiburg, Institute of Psychology, 79085 Freiburg, Germany, Tel. +49-761-203-98745
                Article
                S2211-9493(21)00019-3 100168
                10.1016/j.tine.2021.100168
                8599139
                34844697
                7c934d2c-9084-47ce-889b-4c5054cf16f3
                © 2021 Elsevier GmbH. All rights reserved.

                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
                : 21 July 2021
                : 14 November 2021
                : 14 November 2021
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