Understanding and improving teaching and learning using LMS clickstream data

Date: Wednesday, June 1
Time: 2:15 – 3:15 p.m., first of two presentations at this time
Location: 104 Gore Hall

With recent technology in education, such as learning management systems (LMSs), a large amount of data about learning, learners and learning contexts are being generated. In particular, LMSs collect a large amount of user clickstream data, which indicate users’ detailed activities, such as completing an online quiz, submitting an assignment, and participating in a discussion. Clickstream data often have various proprietary formats and different levels of granularity, which poses significant challenges to related learning data processing, modeling and analysis. In this project, we propose a process mining analysis framework to mine learning clickstream data from learning and teaching process perspective to provide insights on various learning and teaching behavior. Based on the mining results, we aim to provide a number of guidelines and best practices for improving learning and teaching using our LMS at the University of Delaware.