Is ChatGPT an opportunity or a threat? Preventive strategies employed by academics related to a GenAI-based LLM at a faculty of education
Open accessAbstract
Within the past decade, enormous strides have been made related to the disruptive effect of AI in education, which has grown exponentially. Recent developments in GenAI conversational models have highlighted the need to investigate this phenomenon in different contexts. This prompted me to investigate academics’ views on ChatGPT as a GenAI-based conversation tool at a faculty of education. The conversation theory is foregrounding this research. An exploratory qualitative design study foregrounded the constructivist-interpretative perspective and a sample of eight participants was purposively selected. Semi-structured interviews were generated by Microsoft Teams (transcribed), recordings were downloaded, and themes were identified as guided by the thematic analysis process. Participants echoed sentiments of the usefulness of generative AI tools in promoting or advancing teaching and learning experiences. An awareness of the ethical considerations in using generative AI tools is important before adopting chatbots. To prevent the unethical behaviour of students, it is necessary to create and adopt measures to prevent academic dishonesty. Further research is needed to build on recent gains in academic awareness of GenAI tools for teaching and learning.
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Teaching staff recognized the importance of digital literacy skills and the potential they offer.
“teaching staff recognized the importance of digital literacy skills and the potential they offer (van Wyk, 2024).”
From Planets, cars, and personas: Toward an understanding of faculty perceptions of artificial intelligence through visual metaphors and projective techniques (2025) · cites this paper as van Wyk, 2024
The Discussion says participating academics proposed empowering students with digital literacy skills to use GenAI detection tools to prevent cheating. This supports staff recognizing a specific value of those skills, but the paper does not establish their broader potential beyond that use. (LLM, conf=0.82)
Experimental — accuracy not yet measuredTechnology awareness and use of GenAI tools are negatively correlated with fear and skepticism, especially concerning academic integrity violations.
“and both were negatively correlated with fear and skepticism (Kamoun et al., 2024), especially concerning academic integrity violations (Rajabi et al., 2024; van Wyk, 2024).”
From Planets, cars, and personas: Toward an understanding of faculty perceptions of artificial intelligence through visual metaphors and projective techniques (2025) · cites this paper as van Wyk, 2024
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- Micheal M Van Wyk. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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- Authors
- Van Wyk, M. M.
- Venue
- Journal of Applied Learning and Teaching
- Publisher
- Open Access Publishing Association
- Published
- 2024-02-18
- Volume
- 7
- Issue
- 1
- Pages
- 35-45
- ISSN
- 2591-801X (ISSN-L)
- OpenAlex
- W4391921616
- Cited by
- 35
- References
- 0
- Citations by year
- 2026: 4 · 2025: 13 · 2024: 18
- FWCI
- 13.20
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Journal of Applied Learning & Teaching (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Keywords
- ChatGPT, generative AI, large language models, academic ethics, academic dishonesty prevention, student misbehavior, teacher perceptions, artificial intelligence in education, conversation theory, chatbots, teaching-learning process
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