Turkish adaptation of the Artificial Intelligence Self-Efficacy Scale (AISES) and its role in prospective teachers’ intentions to use AI in classroom practices
Fatih Aydın, İbrahim Dadandı, Şenel Çıtak, Vildan Saki Aydın, Pakize Urfalı Dadandı · 2026
Read Turkish adaptation of the Artificial Intelligence Self-Efficacy Scale (AISES) and its role in prospective teachers’ intentions to use AI in classroom practices by Fatih Aydın, İbrahim Dadandı, Şenel Çıtak, Vildan Saki Aydın, Pakize Urfalı Dadandı (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13543356.txt.
Description
Fatih Aydın's team adapted an Artificial Intelligence Self-Efficacy Scale into Turkish in 2026 and tested what drives trainee teachers to plan AI use in class. Self-efficacy here means confidence in handling AI tools. A total of 610 trainee teachers at three public universities in Turkey filled in questionnaires on AI literacy, confidence, attitudes, and intention to use AI in future teaching.
Checks showed the translated scale held up well, with sound structure. Literacy counted most: trainees who knew AI better showed stronger confidence and warmer attitudes, and both of those, in sequence, raised their intention to use AI with pupils. The chain ran from knowledge through belief and attitude to intention. Teacher trainers, the authors conclude, should build genuine AI literacy first, since confidence and goodwill follow from it.
Catalog record
| CREATOR | Fatih Aydın, İbrahim Dadandı, Şenel Çıtak, Vildan Saki Aydın, Pakize Urfalı Dadandı |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 58857 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |