Academic Integrity Considerations of AI Large Language Models in the Post-Pandemic Era: ChatGPT and Beyond

– The paper explores academic integrity considerations of students’ use of AI tools using Large Language Models (LLMs).
– LLMs can support students in digital writing, co-creation between humans and AI, supporting EFL learners, and improving Automated Writing Evaluations (AWE).
– The use of LLMs by students raises academic integrity concerns, and HEIs must update their policies to consider how these tools will be used in future educational environments.

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.

Author:

Perkins, Mike

Source:

Journal of University Teaching and Learning Practice

Type:

Artículo

Publication date:

01/09/2023

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