ArticleBMC psychology2026
Turkish adaptation of the Artificial Intelligence Self-Efficacy Scale (AISES) and its role in prospective teachers' intentions to use AI in classroom practices.
Article in BMC psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundWith groundbreaking advancements in digital technologies, AI tools have been adopted in everyday life in a short time, including in educational settings. The aim of the present study was to adapt the Artificial Intelligence Self-Efficacy Scale in Turkish and to examine how AI literacy, attitudes, and self-efficacy predict prospective teachers' intentions to use AI in their future classroom practices.
methodsIn this regard, a total of 610 prospective teachers from the Faculties of Education at three public universities in Turkey were surveyed using a battery of questionnaires to evaluate AI literacy, AI self-efficacy, attitudes towards AI, and behavioral intention to use AI in teaching.
resultsConfirmatory factor and reliability analyses indicated that the Turkish version of the AISES demonstrated good psychometric properties. Additionally, the serial mediation model demonstrated that prospective teachers' levels of AI literacy significantly predicted their self-efficacy, attitudes, and intentions regarding future classroom practices. Moreover, the relationship between AI literacy and behavioral intention is mediated sequentially by AI self-efficacy and attitudes toward AI.
conclusionsThe findings of the present study indicate that enhancing prospective teachers' AI literacy and self-efficacy can foster positive attitudes and strengthen their intentions to use AI technologies in future educational practices.
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