Adapting to the Unsanctioned Use of AI-Supported Technologies in Student Assessments

This article presents a brief overview of the state-of-the-art in large language models (LLMs) like ChatGPT and discusses the difficulties that these technologies create for educators with regard to assessment. Making use of the ‘arms race’ metaphor, this article argues that there are no simple solutions to the ‘AI problem’. Rather, this author shows that educators and universities will need to adopt a complex strategy consisting of solutions at four different levels of vulnerability: Ethical, pedagogic/didactic, technological and policy. Lastly, the article presents general recommendations for addressing vulnerabilities at each of these levels.

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Publication Details

Journal
Higher Education for the Future
Published
2024-12-11
DOI
https://doi.org/10.1177/23476311241300608
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.36
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article

Adapting to the Unsanctioned Use of AI-Supported Technologies in Student Assessments

Matthew Landers
3 citations
Higher Education for the Future
Artificial Intelligence in Healthcare and Education
0.36
article

Adapting to the Unsanctioned Use of AI-Supported Technologies in Student Assessments

Matthew Landers
article en
3 citations

Abstract

This article presents a brief overview of the state-of-the-art in large language models (LLMs) like ChatGPT and discusses the difficulties that these technologies create for educators with regard to assessment. Making use of the ‘arms race’ metaphor, this article argues that there are no simple solutions to the ‘AI problem’. Rather, this author shows that educators and universities will need to adopt a complex strategy consisting of solutions at four different levels of vulnerability: Ethical, pedagogic/didactic, technological and policy. Lastly, the article presents general recommendations for addressing vulnerabilities at each of these levels.

Higher Education for the FutureVol. 12(1)
Western Norway University of Applied Sciences (NO)
Quality Education
Openalex Percentile: Top 34%
Artificial Intelligence in Healthcare and Education
0.36
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