ROSE, Sarah, TAYLOR, Louise, Pheiffer, Gary, Fortune, Zoe and Wilde, Natalie (2026) Lacking the ‘personal touch’: Students’ perceptions of generative artificial intelligence in assessment feedback. Assessment and Evaluation in Higher Education. ISSN 1469-297X
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Abstract or description
Despite the potential usefulness of Generative Artificial Intelligence (GenAI) in the assessment feedback process, little is known about students’ understanding and perceptions of its role. Addressing this gap is important to ensure that GenAI-assisted feedback is pedagogically effective, because its value depends on whether students perceive it as credible and worth acting on. To address this issue, 25 students (14 female, mean age = 26.41 years,) studying a range of courses at British universities with campuses in the United Kingdom and United Arab Emirates took part in one of 7 focus groups (n=23) or interviews (n=2) They were asked to consider what is useful feedback, whether GenAI can provide this, and their feelings around its use by tutors. Reflexive thematic analysis generated two overarching themes: ‘characteristics of GenAI feedback’, and ‘use of GenAI in feedback processes’. Together, these demonstrated that students evaluated GenAI as a potentially useful tool for providing objective and individualised feedback, but not necessarily accurate feedback. Fundamentally, they did not believe it could replace human expertise or provide the ‘personal touch’, which supports the theory that effective feedback is dialogic. Findings can be used to guide practice and policy concerning the use of GenAI-assisted assessment feedback processes.
| Item Type: | Article |
|---|---|
| Additional Information: | “This is an Accepted Manuscript of an article published by Taylor & Francis in Assessment and Evaluation in Higher Education, available at: https://doi.org/[Article DOI].” |
| Faculty: | School of Life Sciences and Education > Psychology and Counselling |
| Depositing User: | Sarah ROSE |
| Date Deposited: | 11 May 2026 13:53 |
| Last Modified: | 12 May 2026 04:30 |
| URI: | https://eprints.staffs.ac.uk/id/eprint/9635 |
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