E. Cressweli Baber

Early detection of student burnout using data science: a study of behavioral and psychological indicators

Overall, sleep duration was negatively related to burnout, while mental fatigue was the strongest positive predictor of burnout, and machine learning predictive models were accurate at classifying risk for students, with particular success from the Random Forest algorithm, demonstrating the potential for predictive ana...