A Classroom Study of LLM-Generated Feedback Intervention in Introductory Programming
Published in IRAISE 2026, Festival of Learning (AIED, EDM & L@S), 2026
A randomized classroom deployment comparing natural-language hints, AI-generated failing test cases and no AI feedback in introductory Python labs, with the ProgFeed dataset of 6,693 submissions from 215 students; natural-language feedback is linked to higher completion and faster convergence to correct solutions.
Hasnain Heickal and Andrew Lan. "A Classroom Study of LLM-Generated Feedback Intervention in Introductory Programming." IRAISE 2026, Festival of Learning (AIED, EDM & L@S), 2026.
Paper