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Student Experiences with AI-Assisted Learning
Sun, April 12, 1:45 to 3:15pm PDT (1:45 to 3:15pm PDT), JW Marriott Los Angeles L.A. LIVE, Floor: 2nd Floor, Platinum BSession Type: Paper Session
Abstract
Focusing on the learner's perspective, this session delves into how students interact with AI in various educational contexts. The papers investigate collaborative problem-solving, the factors driving student engagement, and the practical application of AI tools in a university course.
Sub Unit
Chair
Papers
How Do Students Collaborate with AI in Problem-Solving Tasks? Unpacking Interaction Profiles and Strategies - Zhanxin Hao, Tsinghua University; Xiaobo Liu, Tsinghua University; Jiaxin Fan, Tsinghua University; Jifan Yu, Tsinghua University; Yu Zhang, Tsinghua University
Investigating Antecedents of Engagement in GenAI-supported Learning: The Critical Roles of GenAI Competency and Emotion - Xianhan Huang, The Education University of Hong Kong; Shiyu Zhang, University of Hong Kong; Wen SHAO, University of Hong Kong
Learning to Program with LLMs: How University Students Use LLMs in an Introductory Programming Course - Yuwei Liang, University of Pennsylvania; Shiyang Zhang, University of Pennsylvania; Bodong Chen, University of Pennsylvania