Generative AI in Assessment: Towards Understanding the Student View

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.

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Publication Details

Journal
MSOR Connections
Published
2024-09-16
DOI
https://doi.org/10.21100/msor.v23i1.1515
Citations
3
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
1.04
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article

Generative AI in Assessment: Towards Understanding the Student View

Cesare Giulio Ardito, Joel Anthony Haddley
3 citations
MSOR Connections
Intelligent Tutoring Systems and Adaptive Learning
1.04
article

Generative AI in Assessment: Towards Understanding the Student View

Cesare Giulio Ardito, Joel Anthony Haddley
article en
3 citations

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.

MSOR ConnectionsVol. 23(1)
University of Liverpool (GB), University of Manchester (GB)
Openalex Percentile: Top 19%
Intelligent Tutoring Systems and Adaptive Learning
1.04
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Generative AI in Assessment: Towards Understanding the Student View — Cesare Giulio Ardito, Joel Anthony Haddley · MSOR Connections (2024) | TGRS Research Map | TGRS