Title: Harnessing Large Language Models in Education: Evidence from Two Field Experiments

Speaker: Prof. De Liu, University of Minnesota

Time: 2025年6月12日 10:00 – 11:30

Place:管理科学楼第四教室

Abstract: Large Language Models, as general-purpose tools for knowledge synthesis and cognitive augmentation, present both unprecedented opportunities and significant risks for the field of education. In this talk, I present findings from two field experiments that explore how LLMs can be effectively leveraged to support student learning and how their widespread use may shape learning outcomes. The first experiment examines a theory-informed integration of an LLM-powered chatbot, embedded within a Learning Management System and enhanced with gamification elements, to promote self-regulated learning. I will discuss how this design influenced students’ learning behaviors and academic performance over the course. The second experiment investigates the impact of different LLM tools on learning by offering students the choice to use a traditional search engine, ChatGPT, or a custom-designed version of ChatGPT grounded in guided-discovery principles during formative assignments.  The results highlight that LLMs can either hinder or enhance learning depending on their design, the nature of the learning task, and patterns of student engagement with LLM tools.

Bio: Dr. De Liu is a Xian Dong Eric Jing Professor of Information and Decision Sciences at the Carlson School of Management, University of Minnesota. He received his Ph.D. from the University of Texas at Austin, and his Master's and Bachelor's degrees from Tsinghua University. His recent research interests include gamification, Internet-based auctions and market mechanisms, crowdfunding, and AI /Augmented Reality applications. His research has appeared in leading journals such as MIS Quarterly, Management Science, Information Systems Research, Journal of Marketing, Journal of Market Research, and Production and Operations Management. He previously served as an associate editor for Information Systems Research and Journal of Organizational Computing and Electronic Commerce.