FoL 2026
L@S

Dialogue @ Scale

Fri Jul 3, 9:00 AM–10:15 AM · North 205
NLP & Discourse Analysis Learning at Scale & MOOCs Generative AI & Large Language Models
★ Notable speakers
Dragan Gašević ★★ — Learning analytics; co-founder of LAK conference and Society for Learning Analytics Research
Roberto Martinez-Maldonado ★★ — Multimodal learning analytics, human-centred AI in education, teamwork analytics in physical learning spaces
René Kizilcec ★★ — Learning at scale; algorithmic fairness and equity in digital education
Kirk Vanacore ★ — Learning analytics; educational data mining; causal inference in tutoring; AI annotation of learning discourse at scale

A session grouping L@S papers on dialogue analysis and conversational dynamics in learning environments at scale.

3 talks in this session

How Well Do Large Language Models Recognize Instructional Moves? Establishing Baselines for Foundation Models in Educational Discourse
Kirk Vanacore, Rene Kizilcec
Generative AI & Large Language Models Automated Assessment & Scoring NLP & Discourse Analysis
Misconception Diagnosis From Student-Tutor Dialogue: Generate, Retrieve, Rerank
Joshua Mitton, Prarthana Bhattacharyya, Digory Smith, S. Thomas Christie, Ralph Abboud
Intelligent Tutoring Systems Generative AI & Large Language Models Learner & Student Modeling
Scalable LLM-based Coding of Dialogue in Healthcare Simulation: Balancing Coding Performance, Processing Time, and Environmental Impact
Kiyoshige Garces, Vanessa Echeverria, Gloria Milena Fernandez-Nieto, Linxuan Zhao, Sachini Samaraweera
Generative AI & Large Language Models Multimodal Learning Analytics NLP & Discourse Analysis