Blinded quasi-experimental AI-versus-student assessment marking protocol¶
Design · All designs
Evidence · no claims cited
Description¶
A pilot evaluation protocol in which ChatGPT-generated submissions, formatted by an independent research assistant to resemble student work, were mixed with deidentified past student assessments and marked by blinded discipline-expert academics against standardized rubrics. As printed, "33 assessments, across the 5 assessment types, were selected for the study: 18 were AI-generated (experimental group), and 15 were past students’ assessments (control group)". A second-marker consensus process applied when a remark differed by more than 10 marks.
Design Implications¶
Context¶
Requirements¶
- Blinded markers with postgraduate qualifications and DH or HIM expertise; standardized rubrics; deidentification of student work
Constraints¶
- Quasi-experimental design without random assignment; limited samples per category; markers' informal AI-authorship judgments were sometimes inaccurate
Target Learners¶
- undergraduate and master's-level digital health and health information management students
Learning Goals¶
- evaluating assessment validity under generative AI
- academic integrity benchmarking
Claims¶
Related Designs¶
Examples¶
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Key Sources¶
- Wani Tafheem Ahmad, Liem Michael, Prasad Natasha, Robinson Kerin, Nexhip Abbey, Tassos Melanie, Gjorgioski Stephanie, Khan Urooj Raza, Boyd James, Riley Merilyn. (2026). Susceptibility of Assessment Types to AI-Generated Content in Digital Health and Health Information Management Education: Quasi-Experimental Pilot Study. JMIR Medical Education. https://doi.org/10.2196/82988
Page metadata
| Field | Value |
|---|---|
type |
design |
id |
blinded-ai-student-marking-protocol |
title |
Blinded quasi-experimental AI-versus-student assessment marking protocol |
description |
A pilot evaluation protocol in which ChatGPT-generated submissions, formatted by an independent research assistant to resemble student work, were mixed with deidentified past student assessments and marked by blinded... |
status |
review |
generated |
by process:settle-candidates on 2026-11-05 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — wani-tafheem-ahmad-2026 |
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