Tan, Chekfoung; Alhammad, Muna M; Stelmaszak, Marta; (2024) Teachers' Perceptions of Students' Use of Generative AI in Summative Assessments at Higher Education Institutions: An Exploratory Study. In: Proceedings of the 29th UK Academy for Information Systems (UKAIS) International Conference. UK Academy for Information Systems: Canterbury, UK.

Preview

Text UKAIS2024_rev_final.pdf - Accepted Version Download (418kB) | Preview

Abstract

The rise of generative AI (GAI) is affecting various sectors, including higher education (HE). In HE, educators are grappling with students' use of GAI, which might infringe upon academic integrity. Given the pervasiveness of this technology, particularly through free AI tools, it should be utilised for its benefits rather than merely blocked. Thus, responsible use of AI in higher education is essential. However, encouraging students to openly declare their use of AI in summative assessments, for transparency purposes, has led to fears of negative perception and potential marking down by teachers. There is currently limited research in this area. Hence, this study aims to explore the boundary of students using GAI in assessments by gathering views from teachers through an exploratory survey. It contributes theoretically to responsible AI literature, extending it to HE, and practically by developing guidelines for AI use in student assessments, potentially informing university policy.

Download activity - last month

Export as XMLJSONCSV

Download activity - last 12 months

Export as JSONCSVXML

Downloads by country - last 12 months

Export as XMLCSVJSON

Archive Staff Only

View Item