TY - JOUR T1 - Large-scale digital traces of university students show that morning classes are bad for attendance, sleep, and academic performance JF - bioRxiv DO - 10.1101/2021.05.14.444124 SP - 2021.05.14.444124 AU - Sing Chen Yeo AU - Clin K.Y. Lai AU - Jacinda Tan AU - Samantha Lim AU - Yuvan Chandramoghan AU - Joshua J. Gooley Y1 - 2021/01/01 UR - http://biorxiv.org/content/early/2021/05/17/2021.05.14.444124.abstract N2 - Attending classes and sleeping well are important for students’ academic success. However, early classes might impede learning by contributing to absenteeism and insufficient sleep. We used big datasets collected passively from university students to test the hypothesis that morning classes are associated with poorer attendance, shorter sleep, and lower grades. Wi-Fi connection data were used to estimate attendance rates of 24,678 students enrolled in lecture courses with start times ranging from 08:00 to 16:00. Students’ interactions with the university’s Learning Management System (LMS) were used to estimate nocturnal sleep opportunities by compiling 17.4 million logins from 39,458 students with data sorted by students’ first class of the day. Objective sleep behavior was assessed in 181 students who took part in a 6-week actigraphy study. We found that Wi-Fi confirmed attendance was about 15 percentage points lower in students taking classes at 08:00 compared with later start times. Actigraphy data revealed that students frequently slept past the start of morning classes. LMS and actigraphy data showed that nocturnal sleep opportunities and total sleep time decreased with earlier class start times due to students waking up earlier. Analyses of grades in 27,281 students showed that having morning classes on more days of the week resulted in a lower grade point average. These findings suggest cumulative negative effects of morning classes on learning. Early morning classes force many students to decide to either sleep more and skip class, or sleep less to attend class. Therefore, universities should avoid scheduling early morning classes.Significance Statement We show that morning classes are associated with lower attendance, shorter nocturnal sleep, and lower grade point average in university students. Scalable methods for measuring attendance and sleep were developed using students’ Wi-Fi connection data and interactions with the Learning Management System. Students had lower attendance rates and frequently slept past the start of early morning classes. However, students still lost about an hour of sleep on average when they had early morning classes due to waking up earlier than usual. Students who had morning classes on more days of the week had a lower grade point average. Our results suggest cumulative negative effects of morning classes on students’ academic performance. Universities should avoid scheduling early morning classes.Competing Interest StatementThe authors have declared no competing interest. ER -