Early morning university classes correlate with poor sleep and academic performance

Digital data from university students in Singapore suggest they could be getting better grades if their classes started later. The findings, from tens of thousands of students, were published by Duke-NUS Medical School researchers and colleagues in the journal Nature Human Behaviour.

Research in recent years has shown that postponing the start time of high schools improves the amount of sleep that students get and reduces their sleepiness during school hours. But findings are mixed about whether this has a positive impact on grades.

To determine the impact specifically on university students, Associate Professor Joshua Gooley, from Duke-NUS’ Neuroscience & Behavioural Disorders Programme and colleagues used student Wi-Fi connection data, log-ins to university digital learning platforms, and activity data from special sensing watches to conduct large-scale monitoring of class attendance and sleep behaviour of tens of thousands of university students.

“We implemented new methods that allow large-scale monitoring of class attendance and sleep behaviour by analysing students’ classroom Wi-Fi connection data and their interactions with digital learning platforms,” said Dr Yeo Sing Chen, first author of the study and a Duke-NUS PhD graduate.

From the data, the researchers found that early class start times were associated with lower attendance, with many students regularly sleeping past the start of such classes. When students did attend an early class, they lost about an hour of sleep. Morning classes on more days of the week were also associated with a lower grade point average.

“If the goal of formal education is to position our students to succeed in the classroom and workforce, why are we forcing many university students into the bad decision of either skipping morning class to sleep more or attending class while sleep-deprived?” asked Assoc Prof Gooley. “The take-home message from our study is that universities should reconsider mandatory early morning classes.”

The researchers drew insights using the Wi-Fi connection logs of 23,391 students to find out if early morning classes were associated with lower attendance. They then compared the data with six weeks of watch-derived activity data from a subset of 181 students to determine if the students were sleeping instead of attending early morning classes.

They also analysed activity data with the day and night patterns of digital learning platform logins of 39,458 students to determine if early morning classes were associated with waking up earlier and getting less sleep. Finally, they studied the grades of 33,818 students and the number of morning classes these students were taking to determine if it impacted their grade point average.

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