FoL 2026
Workshop

Seventh Annual Workshop on A/B Testing and Platform-Enabled Learning Engineering

Sat Jun 27, 1:00 PM–6:00 PM · COEX Room 321
★ Notable speakers
Neil Heffernan ★★ — ASSISTments intelligent tutoring platform; educational data mining at scale
Jeremy Roschelle ★★ — Collaborative learning; SimCalc mathematics technology; learning sciences and technology in K-12
Danielle McNamara ★★ — NLP-based intelligent tutoring (iSTART, Writing Pal, Coh-Metrix), text comprehension and writing research, learning engineering
April Murphy — Learning engineering; AI-personalized math learning; large-scale field trials in education
Steven Ritter — Co-founder of Carnegie Learning; Cognitive Tutor and MATHia intelligent tutoring platforms
Joseph Jay Williams — Adaptive A/B experimentation in education; crowdsourcing and personalization of learning interventions
John Stamper — PSLC DataShop; educational data mining infrastructure; LearnSphere

This half-day workshop brings together researchers and practitioners from various disciplines to explore how A/B testing and learning engineering apply uniquely in digital learning platforms. It addresses challenges presented by experimentation in educational contexts, such as raising awareness of research opportunities within learning platforms, and the role of balancing improvements to software and supporting open and generalizable science. The workshop examines how learning platforms offer exciting possibilities for educational research and how evidence-based methods can drive meaningful gains in student learning. Submissions are invited on topics ranging from novel experimentation methods, ethical considerations in educational experimentation (such as when using generative AI), platform-specific research designs, and the practical realities of running experiments in schools and online learning environments.

Speakers