Quick Fix: A Lightweight Rubric to Recognize Student Voice in AI-Assisted Work
Lo, Chris (2025) Quick Fix: A Lightweight Rubric to Recognize Student Voice in AI-Assisted Work. College Teaching. (In Press)
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Abstract
In the generative AI era, it is increasingly difficult to distinguish polished but generic student writing from work that shows genuine personal insight and expression. Traditional rubrics may unintentionally reward overuse of AI tools by prioritizing fluency. This article presents a lightweight rubric that helps instructors recognize and reward authorship, synthesis and individual voice when writing is imperfect. The tool is easy to implement and encourages thoughtful experimentation.
| Item ID: | 93260 |
|---|---|
| Item Type: | Article (Short Note) |
| ISSN: | 1930-8299 |
| Keywords: | assessment, generative AI, marking, pedagogy, Rubric |
| Copyright Information: | © 2025 Taylor & Francis Group, LLC. |
| Date Deposited: | 03 Nov 2026 07:09 |
| FoR Codes: | 39 EDUCATION > 3904 Specialist studies in education > 390402 Education assessment and evaluation @ 100% |
| SEO Codes: | 16 EDUCATION AND TRAINING > 1603 Teaching and curriculum > 160301 Assessment, development and evaluation of curriculum @ 100% |
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