AIED

Explainable AI for Educational Feedback and Assessment

Fri Jul 3, 2:00 PM–3:15 PM · North 201

Explainable & Trustworthy AI Automated Feedback Automated Assessment & Scoring

★ Notable speakers

James Lester ★★ — Narrative-centered learning environments; game-based learning; NSF AI Institute for Engaged Learning

Bradford Mott ★ — Narrative-centered learning environments, AI-driven game-based learning, intelligent tutoring systems, Crystal Island, student modeling and adaptive feedback

Narges Norouzi ★ — AI-driven personalized learning in CS education; human-centered machine learning for education

Tanja Käser ★ — Knowledge tracing; student modeling; machine learning for education at EPFL

AIED78 (TL) | Technical | Long-paper session

3 talks in this session

An Explainable AI Assistant for Introductory Programming Education: Improving Feedback Reliability with Instructor-AI Collaboration

Muntasir Hoq, Griffin Pitts, Bradford Mott, Seung Lee, Jessica Vandenberg

Automated Feedback Explainable & Trustworthy AI Programming & CS Education

Beyond Show and Tell: Explainable AI-Supported Feedback for Developing Data Visualization Sense-Making Skills

Supakit Boonsongprasert, Sachin Pathak, Chris Song, Lujie Chen

Dashboards & Visual Analytics Automated Feedback Explainable & Trustworthy AI

Scalable and Explainable Learner-Video Interaction Prediction using Multimodal Large Language Models

Dominik Glandorf, Fares Fawzi, Tanja Käser

Generative AI & Large Language Models Learner & Student Modeling Multimodal Learning Analytics