Future teachers’ beliefs about generative AI. Assessing technology acceptance as students or as aspiring professionals
HEP|PH FR
- Alvarez, Lionel ORCID HEP Fribourg/PH Freiburg
- Ortoleva, Giulia
- Sutter Widmer, Denise
- Fritz, Mattia
- Bugmann, Julien
- Boéchat-Heer, Stéphanie
- Ramillon, Corinne
- 2024
Published in:
- Journal of Technology and Teacher Education. - 2024, vol. 32, no. 3, p. 383-408
English
Generative artificial intelligence (genAI) has undergone rapid advancements, presenting challenges to teacher education. In this study, we explore genAI acceptance among pre-service teachers, concerning both their roles as current students and aspiring professionals. Our survey engaged a sample size of 256 pre-service teachers drawn from six universities in French-speaking Switzerland. Their perspectives offer valuable context for understanding genAI acceptance and calls for a review of the General Extended Technology Acceptance Model for E-Learning (GETAMEL), as genAI shows several peculiarities. For instance, the perceived ease of use seems to be insignificant in predicting acceptance. As genAI continues to evolve, educators’ viewpoints will significantly influence its adoption and transformation within educational contexts. Our results underscore the dynamic landscape of genAI in education and the importance of informed adoption strategies within teacher training institutions.
- Faculty
- HEP|PH FR
- Language
-
- English
- Classification
- Education, teaching
- License
- License undefined
- Open access status
- green
- Persistent URL
- https://folia.unifr.ch/unifr/documents/329547
Statistics
Document views: 11
File downloads:
- 74a1adb0d0fb-___paper_224377.pdf: 66