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GenAI and Adaptive Tutoring: Insights From Case Studies and Research Findings
Sat, April 26, 11:40am to 1:10pm MDT (11:40am to 1:10pm MDT), The Colorado Convention Center, Floor: Meeting Room Level, Room 108Session Type: Symposium
Abstract
With the rapid development of generative AI technologies and the implications for personalization of student learning across all levels of education, it is crucial to investigate the details of such practices. This session aims to foster discussion around applications of generative AI to STEM learning, with a variety of real-world implementation examples utilizing open source tools and nascent research on AI. The session will cover practical applications, lessons learned, and ethical implications the field still needs to grapple with. Open Adaptive Tutor (OATutor) will be the exemplar of focus in the presented research examples.
Sub Unit
Chair
Papers
Implementing GenAI Tutoring With Teachers Across STEM Subjects and Countries - Ioannis Anastasopoulos, University of California - Berkeley; Zachary A. Pardos, University of California - Berkeley; Shreya Bhandari, University of California - Berkeley
Generative AI for Feedback and Item Generation: Research Findings - Shreya Bhandari, University of California - Berkeley; Zachary A. Pardos, University of California - Berkeley; Ioannis Anastasopoulos, University of California - Berkeley
Aligning Educational Content with Curricula Using Large Language Models - Yerin Kwak, University of California - Berkeley; Yunting Liu, University of California - Berkeley; Zachary A. Pardos, University of California - Berkeley