ChatGPT and university teaching, learning and assessment

Some initial reflections on teaching academic integrity in the age of Large Language Models

Bibliographic Data

ID21530602
AuthorsAdrian Kirwan (0000-0002-0771-3092, Critical Skills, Office of the Dean of Teaching and Learning, Maynooth University, Maynooth, Ireland, corresponding author)
Year2024
Volume43
Issue4
Pages1389-1406
Publication date2024-10-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueIrish Educational Studies (JOURNAL)
Journal identifiersISSN: 0332-3315 • E-ISSN: 1747-4965
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/03323315.2023.2284901
OpenAlexW4388967406
LanguageEN
Citations received7
References cited27

Since its arrival in late 2022, ChatGPT has occupied the minds of academics, administrators and students. Reactions to the emergence of Large Language Models (LLMs) have varied but significant anxieties about their impact on assessment have arisen. To address these concerns, this article serves three purposes; firstly, it seeks to gauge the discourse surrounding Large Language Models (LLMs) focusing on ChatGPT. In doing so, it explores general and academic responses to the technology and the challenges/opportunities that have been identified. Secondly, and building on this, it provides an overview of ChatGPT in action and seeks to moderate fears raised by some of the extreme claims that have been made about the potential of this technology. Finally, the article uses a case study to discuss the introduction of this technology to a group of first-year undergraduate students, offering guidance on how the topic of LLMs might be broached. It concludes by suggesting that while the technology has the ability to offer assistance in the completion of academic assessment, it does not replace the higher thinking skills that are central to teaching, learning and assessment in higher education. In turn, arguing that these must be central to assessment practices

Academic integrity · Mathematics education · Pedagogy · Sociology · Artificial Intelligence in Healthcare and Education · COVID-19 diagnosis using AI · Psychology · Social Psychology

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