FoL 2026
EDM

From Heuristics to Analytics: Forecasting Effort and Progress in Online Learning

Thu Jul 2, 2:00 PM–2:25 PM · North 209
Part of Prediction, Modeling, & Recommendation
Predictive Modeling & Early Warning Learning at Scale & MOOCs Educational Data Mining Methods
★ Notable speakers
Vincent Aleven ★★ — Intelligent tutoring systems; CTAT authoring tools; example-tracing tutors
Conrad Borchers ★ — AI-supported self-regulated learning; intelligent tutoring systems; educational data mining; ordered network analysis
Danielle R. Thomas ★ — Human-AI hybrid tutoring; educational equity; AI-augmented tutoring for students with disabilities

A paper replacing rule-of-thumb heuristics with analytics-driven models to forecast learner effort and progress in online learning.

Authors

Eric S. Qiu, Danielle R Thomas, Boyuan Guo, Vincent Aleven, Conrad Borchers