Insight: Staff Use of Technology-Enhanced Assessment in Higher Education: A Systematic Review
This OER is targeted at lecturers and describes an inclusive framework to integrate artificial intelligence (AI) learning design at third level.

Creator(s) (alphabetical)
Organisation(s)
Discipline(s)
Topic(s)
License
Media Format
Date Submitted
Submitted by
Export Resource Data
Insight: Staff Use of Technology-Enhanced Assessment in Higher Education: A Systematic Review
This Forum Insight summarises a systematic review of literature, exploring 65 peer-reviewed publications in the area of technology-enhanced assessment, with a particular focus on staff experiences of various related approaches. The study was funded by the National Forum, in partnership with the Irish Research Council, and was conducted by researchers at Trinity College Dublin.
Creative Commons Attribution (CC BY)
This work is licensed under a CC BY license, allowing sharing and adaptation with proper attribution.
https://creativecommons.org/licenses/by/4.0/If you have modified or adopted this resource, share your version here. Tracking adaptations helps us measure impact and connects others with useful updates.
This OER is targeted at lecturers and describes an inclusive framework to integrate artificial intelligence (AI) learning design at third level.
This report draws on Patricia Gibson’s research around critical approaches to Artificial Intelligence (AI) in Education and the increasing automation of Educational Technologies (EdTech).
This resource was created to share the learning from teaching adults with intellectual disabilities (ID) in IADT college as part of a national suite of pilot projects.
Comparing student and educator perceptions of generative artificial intelligence for teaching, learning and assessment: results from two institutional surveys
[shortify_qr]