Generative AI in Assessment: Towards Understanding the Student View

Authors

DOI:

https://doi.org/10.21100/msor.v23i1.1515

Keywords:

Generative AI, Assessment, Higher Education

Abstract

This case study reports on an intervention that took place within a second-year mathematics module at a higher education institution in the United Kingdom. Prior to completing an essay, students were supported to understand potential benefits and risks of using Generative AI to aid their process. Students were allowed unpenalised use of Generative AI to complete this assessment. They were interviewed to gain an understanding of how they used this technology, and their perceptions of it. A small sample (n=3) allowed for in-depth exploration. All participating students reported using Generative AI in ways which developed their critical awareness of the technology, and the authors believe that the overall value of the assessment to students was enhanced. The case study ends with recommendations for integrating Generative AI into assessment, and directions for further study in this rapidly developing field.

Author Biographies

Joel Anthony Haddley, The University of Liverpool

Senior Lecturer (Teaching and Scholarship) in the Department of Mathematical Sciences at The University of Liverpool

Cesare Giulio Ardito, The University of Manchester

Lecturer in Mathematics in the Department of Mathematics, The University of Manchester.

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Published

2024-09-16

How to Cite

Haddley, J. A., & Ardito, C. G. (2024). Generative AI in Assessment: Towards Understanding the Student View. MSOR Connections, 23(1). https://doi.org/10.21100/msor.v23i1.1515