L@S

Feedback @ Scale

Mon Jun 29, 3:45 PM–5:00 PM · North 205

Automated Feedback Learning at Scale & MOOCs

★ Notable speakers

Neil Heffernan ★★ — ASSISTments intelligent tutoring platform; educational data mining at scale

Olaf Köller ★★ — Educational psychology; large-scale assessment (PISA/TIMSS); academic self-concept and motivation (big-fish-little-pond effect)

René Kizilcec ★★ — Learning at scale; algorithmic fairness and equity in digital education

Adam Sales ★ — Causal inference in educational data mining; combining machine learning with randomized trial analysis; principal stratification in ITS

Jennifer Meyer ★ — Generative AI/LLMs in classrooms; AI-generated feedback for writing; individual differences in edtech; equitable AI deployment in K-12

Paulo F. Carvalho ★ — Cognitive science of learning, spacing and interleaving effects, AI-driven adaptive learning systems

A grouped session of L@S talks exploring how AI and digital platforms can deliver effective feedback to learners at scale.

3 talks in this session

A Large Scale Randomized Control Trial Showing LLM Generated Feedback Helps Low-Knowledge Middle School Math Students with Short-Term Learning

Eamon Worden, Luca Dang, Wen Chiang Lim, Sarah Miller, Jiayi Zhang

Generative AI & Large Language Models Automated Feedback Mathematics Education

Benefit or Bottleneck? Assessing the Impact of Structured Reflection on Learning from AI-Driven Explanatory Feedback

Michael Asher, Gillian Gold, Paulo Carvalho

Automated Feedback Programming & CS Education Self-Regulated Learning

Comparing Teacher and AI-Generated Feedback in the Writing Classroom: Experimental Results from Secondary School Classrooms

Jennifer Meyer, Marlene Steinbach, Ronja Schiller, Ute Mertens, Nils-Jonathan Schaller

Generative AI & Large Language Models Automated Feedback Writing & Language Learning