PROGFEED

Product or Programme · All products and programmes
Evidence · 3 claims (3 for) · 1 study (1 associational), q3 · 1 of 1 report an effect size · 3 claims rest on one study

Description

PROGFEED is a longitudinal dataset released by Hasnain Heickal et al. containing randomized AI-feedback conditions, programming submissions, outcomes, and learner measures from an introductory Python course.

Components

Claims

• Natural language AI feedback is associated with higher eventual success on initially incorrect programming problems [+M]
• Natural language AI feedback is associated with faster convergence to correct solutions [+M]
• Failing test case feedback shows no significant association with eventual success [+M]

Related Products and Programmes

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Key Sources

• Hasnain Heickal and Andrew Lan. (2026). A Classroom Study of LLM-Generated Feedback Intervention in Introductory Programming. https://arxiv.org/abs/2606.08807

Page metadata

Field	Value
type	product
id	progfeed
title	PROGFEED
description	PROGFEED is a longitudinal dataset released by Hasnain Heickal et al.
status	review
product_kind	dataset
generated	by process:settle-candidates on 2026-10-11
trust	unverified — no one has confirmed this page's content

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