AIED

A Generalizable Approach for Real-Time Personalized Feedback in Open-Ended Learning Environments

Fri Jul 3, 10:45 AM–11:00 AM · R2 (Auditorium Meeting 2)

Part of LLM-Driven Personalized Feedback and Knowledge Tracing in Programming Education

Automated Feedback Adaptive & Personalized Learning Intelligent Tutoring Systems Programming & CS Education

★ Notable speakers

Peter Bühlmann ★★ — High-dimensional statistics, causal inference, statistical machine learning; lasso-based variable selection and stability selection

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

A generalizable framework for delivering real-time personalized feedback to learners in open-ended learning environments, adaptable across subject domains.

Authors

Ethan Prihar, Hugues Saltini, Peter Bühlmann, Tanja Käser