Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond

Authors

  • Mike Perkins British University Vietnam, Vietnam

Keywords:

Artificial Intelligence, Large Language Models, GPT-3, ChatGPT, plagiarism

Abstract

This paper explores the academic integrity considerations of students’ use of Artificial Intelligence (AI) tools using Large Language Models (LLMs) such as ChatGPT in formal assessments. We examine the evolution of these tools, and highlight the potential ways that LLMs can support in the education of students in digital writing and beyond, including the teaching of writing and composition, the possibilities of co-creation between humans and AI, supporting EFL learners, and improving Automated Writing Evaluations (AWE). We describe and demonstrate the potential that these tools have in creating original, coherent text that can avoid detection by existing technological methods of detection and trained academic staff alike, demonstrating a major academic integrity concern related to the use of these tools by students. Analysing the various issues related to academic integrity that LLMs raise for both Higher Education Institutions (HEIs) and students, we conclude that it is not the student use of any AI tools that defines whether plagiarism or a breach of academic integrity has occurred, but whether any use is made clear by the student. Deciding whether any particular use of LLMs by students can be defined as academic misconduct is determined by the academic integrity policies of any given HEI, which must be updated to consider how these tools will be used in future educational environments.

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Published

2023-01-01

Issue

Section

Articles

How to Cite

Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond. (2023). Journal of University Teaching and Learning Practice, 20(2). https://open-publishing.org/journals/index.php/jutlp/article/view/635