Beyond the hype: exploring faculty perceptions and acceptability of AI in teaching practices
Open accessAbstract
Limited studies exist on faculty members or lecturers’ perception and behavioural acceptance of artificial intelligence (AI) (e.g. ChatGPT) for their students' benefit. Teachers are the decision-makers for students' teaching and classroom activities. In this regard, the study examined lecturers’ use of AI-powered tools and the factors that influence the acceptance of AI in teaching and learning in universities. An online survey was conducted using a cross-sectional design, and the results were analysed using SPSS and SmartPLS. The study findings revealed that more than two-thirds (84%) of lecturers are willing to accept AI for their students, while 16% stated non-acceptance of AI for students. Factors such as years of teaching experience, institutional support for AI use, and attitude towards AI proved to be significant predictors of AI acceptance in education. Key factors influencing lecturers' acceptance of AI for their students include perceived pedagogical affordances, organisational policies and incentives, perceived complexity and usability and socio-cultural context. By addressing teacher concerns through supportive policies, user-friendly interfaces, and alignment with pedagogical goals, higher education institutions can create a more fertile ground for AI adoption.
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Those who are not as ready to use AI have a hard time trusting the tool and fear that AI will cause them to lose their jobs.
“Those who are not as ready note that they have a hard time trusting the tool and fear that AI will cause them to lose their jobs (Chounta et al., 2022;Ofosu-Ampong, 2024).”
From Into the Unknown: AI Adoption and Job Satisfaction of Christian Faculty (2026) · cites this paper as Ofosu-Ampong, 2024
Educators' attitudes toward GenAI influence its adoption.
“Educators’ attitudes toward GenAI also influence its adoption”
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 Ofosu-Ampong, 2024
The use of AI as a filter is balanced by expert prompting and final oversight of the human faculty.
“However, this is balanced by expert prompting and final oversight of the human faculty (Chounta et al., 2022;Crockle et al., 2022;Ofosu-Ampong, 2024).”
From Into the Unknown: AI Adoption and Job Satisfaction of Christian Faculty (2026) · cites this paper as Ofosu-Ampong, 2024
The Discussion (section 5.4) calls for considering the human element in AI adoption, and the measurement items say AI should complement the instructor’s role. Neither passage addresses expert prompting or final faculty oversight. Searches for those terms and for AI as a filter found no supporting passage in our copy. (LLM, conf=0.76)
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Karakitsou, C., Karayianni, I., Leftheriotis, K., Logotheti, A., & Avgerinou, M. D. (2025) · Journal of Visual Literacy · doi:10.1080/1051144x.2025.2538256 · Cited by 3 · see citing works
Into the Unknown: AI Adoption and Job Satisfaction of Christian Faculty
Manicone, H. A., B, R., FelixOtuorimuo, I. E., Graf, L. M., Joseph, R. A., Moore, E. D., & Wilson, J. E. (2026) · Journal for the Scholarship of Teaching & Learning · doi:10.70623/ohtr6058
- Authors
- Ofosu-Ampong, K.
- Venue
- Discover Education
- Published
- 2024-04-23
- Volume
- 3
- Issue
- 1
- ISSN
- 2731-5525 (ISSN-L)
- OpenAlex
- W4395049338
- Cited by
- 79
- References
- 9
- Citations by year
- 2026: 30 · 2025: 41 · 2024: 8
- FWCI
- 29.80
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Discover Education (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Greater South Information System
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- artificial intelligence in education, ChatGPT, lecturers' perceptions, technology acceptance, AI adoption in higher education, institutional support for AI, teaching experience, pedagogical affordances, sociocultural context
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