Exploring AI-generated output through assessment in a university setting: a case study

Generative AI and large language models have a significant impact on education and business, creating a pressing need for universities to act and support students in their development and understanding of these new technologies. While several emerging studies have investigated the use and perceptions of AI by students, few focus on how educators can actively engage students in developing their critical understanding. We discuss an innovative assessment approach that exposes students to AI using an AI-generated output, focusing them on evaluating output quality, and then use a survey to examine its success. The assessment intervention allowed them to explore and develop their understanding of the risks and limitations of AI.

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Publication Details

Journal
Journal of Learning Development in Higher Education
Published
2025-12-11
DOI
https://doi.org/10.47408/jldhe.vi38.1386
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

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article

Exploring AI-generated output through assessment in a university setting: a case study

Richard Baylis, Lukas J. Helikum, Sarah C. Jones
Journal of Learning Development in Higher Education
Artificial Intelligence in Healthcare and Education
article

Exploring AI-generated output through assessment in a university setting: a case study

Richard Baylis, Lukas J. Helikum, Sarah C. Jones
article en

Abstract

Generative AI and large language models have a significant impact on education and business, creating a pressing need for universities to act and support students in their development and understanding of these new technologies. While several emerging studies have investigated the use and perceptions of AI by students, few focus on how educators can actively engage students in developing their critical understanding. We discuss an innovative assessment approach that exposes students to AI using an AI-generated output, focusing them on evaluating output quality, and then use a survey to examine its success. The assessment intervention allowed them to explore and develop their understanding of the risks and limitations of AI.

Journal of Learning Development in Higher Education(38)
Swansea University (GB), Singapore University of Social Sciences (SG)
Advance HE
Openalex Percentile: Top 66%
Artificial Intelligence in Healthcare and Education
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