Gupta, V;
Nyamapfene, A;
(2025)
Integrating Generative AI in Academic Assessments: Practical Recommendations on AI Usage and Enhancing Knowledge Sharing.
Internet Reference Services Quarterly
, 29
(2)
pp. 213-223.
10.1080/10875301.2025.2456903.
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Abstract
This article presents two strategies for integrating GenAI into assessments: the first strategy involves using the GenAI Integration Rubric to guide ethical AI usage, while the second strategy focuses on the Experimentation Outcome Template to document lessons learned and drive continuous improvement through Monitoring & Evaluation (M&E). These strategies provide practical implications for academic institutions seeking to integrate GenAI into assessments, supporting the reskilling of students while maintaining academic integrity.
| Type: | Article |
|---|---|
| Title: | Integrating Generative AI in Academic Assessments: Practical Recommendations on AI Usage and Enhancing Knowledge Sharing |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1080/10875301.2025.2456903 |
| Publisher version: | https://doi.org/10.1080/10875301.2025.2456903 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Generative Artificial Intelligence (Gen AI); academic assessments; AI Contribution Assessment rubrics; Monitoring & Evaluation (M&E); AI experimentations; Experimentation Outcome Template |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Education, Practice and Society |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10211142 |
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