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.


Gang Wang

Gang Wang    
Assistant Professor, Accounting and MIS

Gang Wang is an Assistant Professor of Management Information Systems at the University of Delaware.  He received his Ph.D. degree in Operations and Information Management from the University of Connecticut.  His research interests include social media, e-Business platforms, and firm strategies in e-Markets.  His research has been published in ACM Transactions on Management Information Systems (TMIS) and Journal of Electronic Commerce Research (JECR). He has presented his work at conferences like ICIS and INFORMS.

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