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      Early morning university classes are associated with impaired sleep and academic performance

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          Abstract

          Attending classes and sleeping well are important for students’ academic success. Here, we tested whether early morning classes are associated with lower attendance, shorter sleep and poorer academic achievement by analysing university students’ digital traces. Wi-Fi connection logs in 23,391 students revealed that lecture attendance was about ten percentage points lower for classes at 08:00 compared with later start times. Diurnal patterns of Learning Management System logins in 39,458 students and actigraphy data in 181 students demonstrated that nocturnal sleep was an hour shorter for early classes because students woke up earlier than usual. Analyses of grades in 33,818 students showed that the number of days per week they had morning classes was negatively correlated with grade point average. These findings suggest concerning associations between early morning classes and learning outcomes.

          Abstract

          Yeo et al. use digital data on student behaviour (Wi-Fi connections and Learning Management System logins) to examine associations between sleep and academic outcomes.

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          Fitting Linear Mixed-Effects Models Usinglme4

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            lmerTest Package: Tests in Linear Mixed Effects Models

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              Moving beyond P values: data analysis with estimation graphics

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                Author and article information

                Contributors
                joshua.gooley@duke-nus.edu.sg
                Journal
                Nat Hum Behav
                Nat Hum Behav
                Nature Human Behaviour
                Nature Publishing Group UK (London )
                2397-3374
                20 February 2023
                20 February 2023
                2023
                : 7
                : 4
                : 502-514
                Affiliations
                [1 ]GRID grid.428397.3, ISNI 0000 0004 0385 0924, Neuroscience and Behavioural Disorders Programme, , Duke-NUS Medical School, ; Singapore, Singapore
                [2 ]GRID grid.4280.e, ISNI 0000 0001 2180 6431, Institute for Applied Learning Sciences and Educational Technology, , National University of Singapore, ; Singapore, Singapore
                Author information
                http://orcid.org/0000-0002-6930-9677
                http://orcid.org/0000-0001-8041-4294
                http://orcid.org/0000-0003-0040-0509
                http://orcid.org/0000-0002-8479-4818
                http://orcid.org/0000-0001-9882-8954
                http://orcid.org/0000-0002-4830-3583
                Article
                1531
                10.1038/s41562-023-01531-x
                10129866
                36806401
                04e29e62-0c60-4c66-8593-e51d1255dfb1
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 15 June 2021
                : 17 January 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001459, Ministry of Education - Singapore (MOE);
                Award ID: MOE2019-T2-2-074
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100001381, National Research Foundation Singapore (National Research Foundation-Prime Minister’s office, Republic of Singapore);
                Award ID: NRF2016-SOL002-001
                Award Recipient :
                Categories
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                Custom metadata
                © Springer Nature Limited 2023

                cognitive neuroscience,human behaviour
                cognitive neuroscience, human behaviour

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