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

Richard Baylis, Sarah Jones, Lukas J. Helikum

Journal of Learning Development in Higher Education

Swansea University Authors: Richard Baylis, Sarah Jones

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 perception...

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Published in: Journal of Learning Development in Higher Education
Published:
URI: https://cronfa.swan.ac.uk/Record/cronfa70743
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.
College: Faculty of Humanities and Social Sciences