Using Generative Artificial Intelligence in learning and teaching: An empirical analysis on academic staff's perspectives

Title
Using Generative Artificial Intelligence in learning and teaching: An empirical analysis on academic staff's perspectives
Publication Date
2025-02-11
Author(s)
Tran, Carolyn
( author )
OrcID: https://orcid.org/0000-0002-5798-0543
Email: ttran43@une.edu.au
UNE Id une-id:ttran43
James, Bryn
Allen, Vivian
de Castro, Rodrigo Oliveria
Sanin, Cesar
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Journal of Applied Learning and Teaching
Place of publication
Australia
DOI
10.37074/jalt.2025.8.1.23
UNE publication id
une:1959.11/71767
Abstract

The use of Generative Artificial Intelligence (GAI) in higher education has garnered significant attention from scholars and researchers since the release of ChatGPT, one of the prominent GAI tools, in late 2022. While academic communities are increasingly recognizing the potential of GAI in teaching and learning, concerns persist regarding the impact of individual backgrounds and employment statuses on attitudes toward GAI, particularly in private higher education. This paper examines the perspectives of academic staff across different disciplines and employment statuses on their familiarity with and incorporation of GAI technologies in teaching. It emphasizes how to integrate GAI technologies effectively into teaching while upholding academic integrity and ensuring the quality of education. The findings, derived from an online survey and descriptive analysis, reveal significant variation in GAI familiarity among disciplines, as well as differing approaches to integrating GAI tools into teaching practices and formulating policies to maintain academic integrity. Notably, full-time staff are generally more familiar with GAI than their casual counterparts. While most teaching staff are open tom students using GAI in their studies, concerns about potential breaches of academic integrity, particularly in assessments, remain prominent. To address these concerns, we recommend developing a transparent academic integrity policy along with clear guidelines for GAI use tailored to different disciplines and employment statuses. Such measures would foster an innovative and creative learning environment while safeguarding the quality of education.

Link
Citation
Journal of Applied Learning and Teaching, 8(1), p. 78-90
ISSN
2591-801X
Start page
78
End page
90
Rights
Attribution 4.0 International

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