TY  - JOUR
TI  - Generative AI in higher education assessment: a scoping review
AU  - Ng, S. H. S.
AU  - Chan, H. Y.
AU  - Wong, J. H. K.
AU  - Sam, L.
AU  - Privitera, A. J.
PY  - 2026
DA  - 2026/01/13/
JO  - Interactive Learning Environments (Taylor and Francis)
AB  - Published online 13 January 2026 in Interactive Learning Environments (Taylor and Francis), this scoping review by Ng, Chan, Wong, Sam and Privitera maps 68 documents on generative AI in higher education assessment from June 2020 to February 2024. It identifies four main roles for generative AI in assessment: design, grading, feedback and academic integrity. The review's finding that the evidence base is nascent and unevenly distributed is itself a key result for course leaders, confirming that assessment redesign decisions must be made with limited empirical guidance.
KW  - assessment-redesign
KW  - assessment-integrity
KW  - generative-ai
KW  - ai-literacy
UR  - https://www.tandfonline.com/doi/full/10.1080/10494820.2026.2614079
LA  - en
ER  -