What the study found
The study found that candidate teachers’ acceptance of generative artificial intelligence (GenAI) and their artificial intelligence literacy (AIL, meaning knowledge and understanding of AI) varied across several characteristics. Some differences were linked to department, grade level, AI tool use, and self-perceived proficiency.
Why the authors say this matters
The authors suggest that the findings help explain what influences prospective teachers’ GenAI acceptance and AIL. They also conclude that qualitative findings clarify the quantitative results.
What the researchers tested
The researchers used an explanatory sequential mixed methods design. They collected quantitative data from 723 prospective teachers using an information form, a GenAI Acceptance Scale, and an AIL Scale, and qualitative data from 48 prospective teachers using interviews.
What worked and what didn't
GenAI acceptance did not differ significantly by gender or daily internet use. It did show differences by department, grade level, AI tools used, and self-perceived proficiency. AIL differed significantly by gender, department, tool usage, and proficiency level, and scores were higher among those trained in artificial intelligence.
What to keep in mind
The abstract does not describe sample limits beyond the groups studied or any other methodological limitations. It also does not provide the size or direction of every difference beyond the results summarized here.
Key points
- GenAI acceptance and AI literacy were examined among 723 prospective teachers.
- GenAI acceptance showed no significant differences by gender or daily internet use.
- GenAI acceptance differed by department, grade level, AI tools used, and self-perceived proficiency.
- AIL differed significantly by gender, department, tool usage, and proficiency level.
- Those trained in artificial intelligence had higher AIL scores.
- Qualitative interviews were used to clarify the quantitative findings.
Disclosure
- Research title:
- Prospective teachers’ GenAI acceptance and AI literacy vary by discipline
- Authors:
- Berker Kurt, Gözdegül Arık Karamık, Ali Özkaya
- Institutions:
- Akdeniz University, Akdeniz University, Akdeniz University
- Publication date:
- 2026-03-05
- OpenAlex record:
- View
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