ncukondo-research/ai-vs-human-feedback-analysis-open-data: v1.0.0: Initial Release

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Authors: Takeshi Kondo
Cited by: 0

Abstract

Open Data: AI-Generated versus Human Supervisor Feedback Initial public release of anonymized evaluation data, analysis code, and AI feedback generation source code for: Kondo T, Donkers J, Nishigori H, Rovers S, Heeneman S. AI-generated versus human supervisor feedback on medical students' clinical clerkship logs: convergent mixed methods study. JMIR Medical Education. (under review) Contents Anonymized data (data/): Rubric scores, thematic analysis codes, and qualitative theme mappings Analysis code (analysis/): R scripts for quantitative, qualitative, and mixed methods analysis AI feedback generation system (feedback-generation/): TypeScript serverless API using GPT-4o

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Innovations in Medical Education Student Assessment and Feedback

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 March 2026
Language
EN