FoL 2026
L@S

Diversity @ Scale

Tue Jun 30, 10:45 AM–12:00 PM · North 203
Equity, Fairness & Inclusion Learning at Scale & MOOCs
★ Notable speakers
René Kizilcec ★★ — Learning at scale; algorithmic fairness and equity in digital education
Amy Ogan ★★ — Intelligent tutoring systems; HCI in education; equity-focused and international ed-tech deployments
Thorsten Joachims ★★ — Counterfactual learning to rank; implicit feedback; structured output prediction; unbiased learning from logged data
Olga Viberg ★ — Learning analytics, responsible AI in education, self-regulated learning, technology-enhanced learning
John Stamper ★ — PSLC DataShop; educational data mining infrastructure; LearnSphere
Paulo F. Carvalho ★ — Cognitive science of learning, spacing and interleaving effects, AI-driven adaptive learning systems
Conrad Borchers ★ — AI-supported self-regulated learning; intelligent tutoring systems; educational data mining; ordered network analysis

A session grouping L@S papers on diversity, equity, and cross-national variation in learning at scale contexts.

3 talks in this session

Teachers’ Perceived Benefits and Risks of AI Across Fifty-Five Countries: An Audit of LLM Alignment and Steerability
Yan Tao, Olga Viberg, Deepak Varuvel Dennison, Zhikun Wu, Rene Kizilcec
Generative AI & Large Language Models Teachers & Professional Development Learning at Scale & MOOCs
The Digital Divide in Generative AI: Evidence from Large Language Model Use in College Admissions Essays
Jinsook Lee, Conrad Borchers, Aj Alvero, Thorsten Joachims, Rene Kizilcec
Generative AI & Large Language Models Writing & Language Learning Higher Education
Can Multilingual Environments Promote Scalable EdTech? Evidence from a Randomized Controlled Trial
Phenyo Phemelo Moletsane, Christine Kwon, John Stamper, Amy Ogan, Paulo Carvalho
Adaptive & Personalized Learning Learning at Scale & MOOCs Low-Resource & Multilingual Contexts