A Multimodal Student Learning Behaviour Dataset for Academic Pulse Monitoring

This dataset contains 4,708 student-course records representing student learning behaviour derived from Learning Management System (LMS) interaction records. The dataset contains 50 variables covering login behaviour, course access, learning and practice activities, quiz activity, assessment records, study behaviour, course completion, and weekly engagement across a 16-week learning period. The data are organized at the student-course level and are provided in CSV format together with a data dictionary describing the variables. The dataset is intended to support educational data mining, learning analytics, student engagement analysis, temporal learning behaviour studies, and the development of data-driven approaches for academic monitoring.