Early morning university classes are associated with impaired sleep and academic performance
Sing Chen Yeo,
Clin K. Y. Lai,
Jacinda Tan,
Samantha Lim,
Yuvan Chandramoghan,
Teck Kiang Tan and
Joshua J. Gooley ()
Additional contact information
Sing Chen Yeo: Duke-NUS Medical School
Clin K. Y. Lai: National University of Singapore
Jacinda Tan: Duke-NUS Medical School
Samantha Lim: Duke-NUS Medical School
Yuvan Chandramoghan: Duke-NUS Medical School
Teck Kiang Tan: National University of Singapore
Joshua J. Gooley: Duke-NUS Medical School
Nature Human Behaviour, 2023, vol. 7, issue 4, 502-514
Abstract:
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.
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.nature.com/articles/s41562-023-01531-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nathum:v:7:y:2023:i:4:d:10.1038_s41562-023-01531-x
Ordering information: This journal article can be ordered from
https://www.nature.com/nathumbehav/
DOI: 10.1038/s41562-023-01531-x
Access Statistics for this article
Nature Human Behaviour is currently edited by Stavroula Kousta
More articles in Nature Human Behaviour from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().