FoL 2026
EDM

Improving Hybrid Human-AI Tutoring by Differentiating Human Tutor Roles Based on Student Needs

Tue Jun 30, 4:35 PM–5:00 PM · North 202
★ Notable speakers
Emma Brunskill ★★ — Reinforcement learning theory and algorithms for personalized education and healthcare
Vincent Aleven ★★ — Intelligent tutoring systems; CTAT authoring tools; example-tracing tutors
Kenneth R. Koedinger ★★ — Cognitive Tutor; LearnLab/PSLC; cognitive science of learning and AIED
Danielle R. Thomas — Human-AI hybrid tutoring; educational equity; AI-augmented tutoring for students with disabilities

Proposes differentiating human tutor roles based on individual student needs to improve outcomes in hybrid human-AI tutoring systems.

Authors

Ashish Gurung, Ge Gao, Boyuan Guo, Alex Houk, Erin Gatz, Danielle R Thomas, Shivang Gupta, Lee Branstetter, Emma Brunskill, Vincent Aleven, Kenneth Koedinger, Jordan Gutterman