L@S

Modeling @ Scale (2)

Wed Jul 1, 2:00 PM–3:15 PM · North 205

Learner & Student Modeling Learning at Scale & MOOCs

★ Notable speakers

Candace Thille ★★ — Founding the Open Learning Initiative (OLI) at CMU (2002); applying learning sciences to open adaptive learning; MOOCs and large-scale online learning; Director of Learning Science at Amazon; Associate Professor at Stanford GSE

Ashok K. Goel ★★ — Creator of Jill Watson, the first AI teaching assistant deployed at scale; cognitive systems, case-based reasoning, AI in education; directs Georgia Tech Design Intelligence Lab and the NSF AI-ALOE Institute

David Joyner ★ — Scaling online graduate CS education (Georgia Tech OMSCS), AI-supported learning at scale, design of large online courses, AI teaching assistants; author of 'Teaching at Scale'

Guilherme Lichand ★ — Field experiments on EdTech, mobile SMS learning interventions, educational inequality in the Global South

Benjamin W. Domingue ★ — Psychometrics, item response theory, causal inference in education, genomics of educational outcomes, the Item Response Warehouse open-data initiative

A session grouping L@S papers on statistical and computational modeling of student learning processes at scale.

3 talks in this session

Multistage Modeling from Application Signals to Downstream Success: Predicting Admission, Matriculation, and Retention

David Joyner, Alex Duncan

Learner & Student Modeling Predictive Modeling & Early Warning Educational Data Mining Methods

Developing Models of Procedural Skills using an AI-assisted Text-to-Model Approach

Rahul Dass, Shubham Puri, Arpit Khandelwal, Xiao Jin, Ashok Goel

Intelligent Tutoring Systems Generative AI & Large Language Models Adaptive & Personalized Learning

Revisiting the Regularity of Student Learning Rate: Sensitivity to Which Observations Are Included

Hansol Lee, Guilherme Lichand, Cristina Barnard, Lucas Klotz, Candace Thille

Knowledge Tracing Learner & Student Modeling Educational Data Mining Methods