Understanding Student Behavior Using Active Window Tracking and Process Mining

This paper proposes a new way of collecting and processing event logs using Active Window Tracking (AWT) to investigate media multitasking (MMT) among students in higher education institutions in Indonesia. Students recorded their computer windows while doing assignments and midterms. Data from the students were preprocessed and structured into event logs. Correlation analysis indicated that MMT has no direct correlation with performance. The PM results revealed that students engaging in MMT frequently switch between assignments, social media, and multimedia. High-scoring students focused more on assignment-related activities, while low-scoring students started late, multitasked extensively, and submitted their work close to the deadline. While these results indicate that MMT does not directly affect the student’s performance for the type of assignment, MMT extends work duration. Students tend to work closer to the deadline, so they often work very late into the night, negatively impacting their well-being. Recommendations are provided to mitigate these issues.