We analyze learning data of an e-assessment platform for an introductory mathematical statistics course, more specifically the time of the day when students learn. We propose statistical models to predict students' success and to describe their behavior with a special focus on the following aspects. First, we find that learning during daytime and not at nighttime is a relevant variable for predicting success in final exams. Second, we observe that good and very good students tend to learn in the afternoon, while some students who failed our course were more likely to study at night but not successfully so. Third, we discuss the average time spent on exercises. Regarding this, students who participated in an exam spent more time doing exercises than students who dropped the course before.
Only a few studies focus on the intraday engagement of students, that is, the actual daytime of learning, as a predictor for academic success. This topic is relevant as various studies show a significant influence of sleep quality and patterns on academic performance @cite_25 @cite_16 @cite_17 @cite_22 . Based on these insights @cite_1 incorporate sleep variables into a prediction setting. With a stepwise regression approach they identify sleep frequency, night outings and sleep quality as among the most important predictors of academic success.
@cite_22 @cite_1 @cite_16 @cite_25 @cite_17
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The present study examined the associations of sleep patterns with multiple measures of academic achievement of undergraduate university students and tested whether sleep variables emerged as significant predictors of subsequent academic performance when other potential predictors, such as class attendance, time devoted to study, and substance use are considered. A sample of 1654 (55 female) full-time undergraduates 17 to 25 yrs of age responded to a self-response questionnaire on sleep, academics, lifestyle, and well-being that was administered at the middle of the semester. In addition to self-reported measures of academic performance, a final grade for each student was collected at the end of the semester. Univariate analyses found that sleep phase, morningness eveningness preference, sleep deprivation, sleep quality, and sleep irregularity were significantly associated with at least two academic performance measures. Among 15 potential predictors, stepwise multiple regression analysis identified 5 significant predictors of end-of-semester marks: previous academic achievement, class attendance, sufficient sleep, night outings, and sleep quality (R 2 = 0.14 and adjusted R 2 = 0.14, F(5, 1234) = 40.99, p< .0001). Associations between academic achievement and the remaining sleep variables as well as the academic, well-being, and lifestyle variables lost significance in stepwise regression. Together with class attendance, night outings, and previous academic achievement, self-reported sleep quality and self-reported frequency of sufficient sleep were among the main predictors of academic performance, adding an independent and significant contribution, regardless of academic variables and lifestyles of the students. (Author correspondence: ana.allen@ua.pt) The present study investigates whether the circadian preferences of students are related to their academic achievements. This study explores whether different class times affect students' achievement and examines the performance of students on final exams administered at 09:30 h for differences according to chronotype. A total of 1471 university students between 18 and 25 yrs of age responded to a morningness-eveningness questionnaire (MEQ), and data on their cumulative grade point averages (CGPA) were also collected from their transcripts. Some of the students in the sample attended classes during the first teaching period, which started at 08:00 h and ended at 14:50 h, and the remaining students followed the second schedule, which started at 15:00 h and ended at 21:50 h. MEQ scores were found to differ by sex. MEQ scores partially predicted academic success and that students' academic achievements differed according to the time of the teaching period. Moreover, final exam (administered at 09:30 h) score... Abstract Sleep quality has significant effects on cognitive performance and is influenced by multiple factors such as stress. Contrary to the ideal, medical students and residents suffer from sleep deprivation and stress at times when they should achieve the greatest amount of learning. In order to examine the relationship between sleep quality and academic performance, 144 medical students undertaking the pre-clinical board exam answered a survey regarding their subjective sleep quality (Pittsburgh sleep quality index, PSQI), grades and subjective stress for three different time points: semester, pre- and post-exam. Academic performance correlated with stress and sleep quality pre-exam ( r = 0.276, p r = 0.158, p 5) during exam preparation compared to 29 during the semester and 8 post-exam. This study shows that in medical students it is not the generally poor sleepers, who perform worse in the medical board exams. Instead students who will perform worse on their exams seem to be more stressed and suffer from poor sleep quality. However, poor sleep quality may negatively impact test performance as well, creating a vicious circle. Furthermore, the rate of sleep disturbances in medical students should be cause for intervention. Poor school performance by adolescent students has been attributed in part to insufficient sleep. It is recognized that a number of factors lead to diminished total sleep time and chief among these are early school start times and sleep phase delay in adolescence. Political initiatives are gaining momentum across the United States to require later school start times with the intent of increasing total sleep time and consequently improving school performance. Later school start times come with significant costs and impact other activities of families and communities. The decision to implement later school start times cannot be made lightly and deserves support of well-performed research on the impact of these changes. A study evaluating the association of academic performance and total sleep time was performed in middle school and high school students in a suburban Maryland school system. Preliminary results of this study show no correlation of total sleep time with academic performance. Before mandating costly changes in school schedules, it would be useful to perform further research to determine the effects of increasing sleep time on the behaviors of adolescent students.