Integrating Artificial Intelligence Into Higher Education Assessment

Generative AI has the potential to transform higher education assessment. This study examines the opportunities and challenges of integrating AI into coursework assessments, highlighting the need to rethink traditional paradigms. A case study is presented that explores AI as an auxiliary learning tool in postgraduate coursework. Students found AI valuable for text generation, proofreading, idea generation, and research but noted limitations in accuracy, detail, and specificity. AI integration offers advantages such as enhancing assessment authenticity, promoting self-regulated learning, and developing critical thinking and problem-solving skills. A holistic approach is recommended, incorporating AI into feedback, adapting assessments to leverage AI’s capabilities, and promoting AI literacy among students and educators. Embracing AI while addressing its challenges can enable effective, equitable, and engaging assessment and teaching practices. Universities are encouraged to strategically integrate AI into teaching and learning, ultimately transforming the educational landscape to better prepare students for an AI-driven world.

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Publication Details

Journal
Intersection A Journal at the Intersection of Assessment and Learning
Published
2025-03-06
DOI
https://doi.org/10.61669/001c.131915
Citations
10
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
16.94
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article

Integrating Artificial Intelligence Into Higher Education Assessment

Andrew E. Williams
10 citations
Intersection A Journal at the Intersection of Assessment and Learning
Online Learning and Analytics
16.94
article

Integrating Artificial Intelligence Into Higher Education Assessment

Andrew E. Williams
article en
10 citations

Abstract

Generative AI has the potential to transform higher education assessment. This study examines the opportunities and challenges of integrating AI into coursework assessments, highlighting the need to rethink traditional paradigms. A case study is presented that explores AI as an auxiliary learning tool in postgraduate coursework. Students found AI valuable for text generation, proofreading, idea generation, and research but noted limitations in accuracy, detail, and specificity. AI integration offers advantages such as enhancing assessment authenticity, promoting self-regulated learning, and developing critical thinking and problem-solving skills. A holistic approach is recommended, incorporating AI into feedback, adapting assessments to leverage AI’s capabilities, and promoting AI literacy among students and educators. Embracing AI while addressing its challenges can enable effective, equitable, and engaging assessment and teaching practices. Universities are encouraged to strategically integrate AI into teaching and learning, ultimately transforming the educational landscape to better prepare students for an AI-driven world.

Intersection A Journal at the Intersection of Assessment and LearningVol. 6(1)
University College London (GB)
Openalex Percentile: Top 1%
Online Learning and Analytics
16.94
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Integrating Artificial Intelligence Into Higher Education Assessment — Andrew E. Williams · Intersection A Journal at the Intersection of Assessment and Learning (2025) | TGRS Research Map | TGRS