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Human–AI Collaboration and Dialogic Learning
Fri, April 10, 1:45 to 3:15pm PDT (1:45 to 3:15pm PDT), JW Marriott Los Angeles L.A. LIVE, Floor: Ground Floor, Gold 4Session Type: Roundtable Session
Abstract
This session invites dialogue on human-AI collaboration in teaching and learning support. Papers examine LLMs as online teaching assistants compared to human TAs, role-based multi-agent systems delivering equitable formative feedback at scale, retrieval-augmented GenAI tutors in marketing courses showing engagement variations, GenAI-facilitated exemplar discussions enhancing self-efficacy, and multi-agent debate systems scaffolding argumentative writing. How do AI systems complement rather than replace human educators? What design features promote equity and deeper engagement? When do AI tools enhance efficiency without sacrificing learning quality? Join conversations about balancing automation with human connection in educational support.
Sub Unit
Chair
Papers
Discussing Exemplars with GenAI or Peers: The Role of Self-regulated Learning Strategies - Jiahe Gu, The Education University of Hong Kong; Dan SUN, The Education University of Hong Kong; Zi Yan, The Education University of Hong Kong
Examining the Effectiveness of LLMs as Online Teaching Assistants for Students through Cognitive Presence - Arjun Rawal, North Carolina School of Science and Mathematics; Harrish Ayyanar Jeyajothi Pommiraj, University College London - IOE; Yuyang Tong, Stanford University; Rohit Sandadi, University of California - Berkeley; Taransh Goyal, McMaster University; Charith Narreddy, Georgia Institute of Technology; Ishaan Gangwani, Indus International School
Interact More, Learn More? A Randomized Controlled Trial of GenAI Tutors on Student Learning - Weijiao Huang, University of Hong Kong; Andrew Thoeni, University of North Florida; Luke K. Fryer, University of Hong Kong
Role-Based Generative AI for Equitable Formative Feedback: Mixed-Methods Evidence from a Web-Based Course - Chenyu Zhang, Massachusetts Institute of Technology; Xiaohang Luo, University of Pennsylvania
The Battle of Wits: Comparing Single-Agent System and Multi-Agent Debate System in Scaffolding Argumentative Writing - Lin Dai, East China Normal University; Jing Leng, East China Normal University