AIED

Evidence–Decision–Feedback: Theory-Driven Adaptive Scaffolding for LLM Agents

Mon Jun 29, 9:00 AM–9:25 AM · R1 (Auditorium Meeting 1)

Part of LLM Agents for Educational Scaffolding and Simulation

AI Agents & Agentic Systems Generative AI & Large Language Models Adaptive & Personalized Learning Automated Feedback

★ Notable speakers

Gautam Biswas ★★ — Creator of Betty's Brain (learning-by-teaching AI system), open-ended learning environments for K-12 STEM, educational data mining, metacognitive scaffolding; Cornelius Vanderbilt Professor of Engineering

A theory-driven adaptive scaffolding framework for LLM agents structured around evidence gathering, decision making, and feedback delivery.

Authors

Clayton Cohn, Siyuan Guo, Surya Rayala, Hanchen David Wang, Naveeduddin Mohammed, Umesh Timalsina, Shruti Jain, Angela Eeds, Menton Deweese, Pamela J. Osborn Popp, Rebekah Stanton, Shakeera Walker, Meiyi Ma, Gautam Biswas