Rahaman, F. 2027. Forthcoming. Student-Facing Generative AI Guidance as Assessment Design: A UK–CARICOM Perspective on Academic Integrity, Transparency and AI Literacy. in: Seuwou, P. (ed.) AI-Resilient Assessment Design in Higher Education for Integrity, Inclusion, and Authenticity Hershey, Pennsylvania, USA IGI Global Scientific Publishing.
| Chapter title | Student-Facing Generative AI Guidance as Assessment Design: A UK–CARICOM Perspective on Academic Integrity, Transparency and AI Literacy |
|---|---|
| Authors | Rahaman, F. |
| Editors | Seuwou, P. |
| Abstract | This chapter positions student-facing generative AI guidance as a component of assessment design rather than solely as an institutional governance mechanism. It examines how guidance on acceptable AI use, disclosure, data-risk awareness and AI literacy can support assessment validity, academic integrity, transparency and student engagement in AI-enabled learning environments. Drawing on a comparative UK–CARICOM perspective, the chapter explores policy visibility, the hidden curriculum and equitable access to institutional expectations. It contributes a practical framework for embedding clear, inclusive and transparent AI guidance within assessment practice, with implications for higher education policy, assessment design and inclusive student support. |
| Keywords | Generative AI; assessment design; academic integrity; AI literacy; student-facing guidance; higher education policy; transparency; inclusion; UK higher education; CARICOM higher education; authentic assessment |
| Book title | AI-Resilient Assessment Design in Higher Education for Integrity, Inclusion, and Authenticity |
| Year | 2027 |
| Publisher | IGI Global Scientific Publishing |
| Place of publication | Hershey, Pennsylvania, USA |