Designing assessments for the age of AI, that reward thinking, not tools: practical lessons from teaching large cohorts
Aman, Zunaira ORCID: https://orcid.org/0000-0002-2795-7393
(2026)
Designing assessments for the age of AI, that reward thinking, not tools: practical lessons from teaching large cohorts.
Times Higher Education – THE Campus.
ISSN 0049‑3929 (Print), 1756‑3758 (Online)
(In Press)
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PDF (Author's Accepted Article)
52542 AMAN_Designing_Assessments_For_The_Age_Of_AI_(AAM MAGAZINE ARTICLE)_2026.pdf - Accepted Version Restricted to Repository staff only Download (34kB) | Request a copy |
Abstract
This article reflects on small but effective shifts I made to assessment design while teaching international MBA and MSc students, in response to growing concerns around generative AI, academic integrity and student engagement. Drawing on classroom practice and research-informed teaching, the piece offers practical strategies for designing assessments that promote critical thinking, real-world application and inclusive learning, without requiring major curriculum redesign. Rather than focusing on how to combat the use of AI in the classroom, the article argues for embedding AI in meaningful ways and supporting students to use it ethically and productively for learning. I share evidence from my modules, including what worked, what did not, and how co-creation with students led to improved engagement. These shifts generated significant interest from colleagues, with many requesting slides and follow-up discussions on the approach.The article is intended as a clear, advice-led resource for educators facing similar challenges and focuses on actionable insights rather than theory-heavy discussion.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Generative AI Assessment Design Academic Integrity Higher Education Critical Thinking Artificial Intelligence in Education |
| Subjects: | H Social Sciences > H Social Sciences (General) L Education > L Education (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty / School / Research Centre / Research Group: | Greenwich Business School Greenwich Business School > Executive Business Centre |
| Related URLs: | |
| Last Modified: | 24 Feb 2026 15:33 |
| URI: | https://gala.gre.ac.uk/id/eprint/52542 |
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