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Teachers’ Cognition of AI Technology Use in Elementary English Classes

  • Journal of Studies on Schools and Teaching
  • Abbr : JSST
  • 2025, 10(3), pp.89~113
  • DOI : 10.23041/jsst.2025.10.3.005
  • Publisher : Education Research Institute at CNUE
  • Research Area : Social Science > Education
  • Received : September 23, 2025
  • Accepted : December 10, 2025
  • Published : November 30, 2025

Lee, Seungmin 1

1청주교육대학교

Accredited

ABSTRACT

Teachers’ cognition, defined as the dynamic interplay between knowledge and beliefs about its application, plays a critical role in shaping teaching and learning. This study investigated teachers’ cognition of AI technology use in elementary English classes, with a focus on its sources, the influence of knowledge on belief formation, and changes resulting from professional learning. Teachers’ professional expertise was analyzed across two domains — elementary English teaching expertise and AI technology integration expertise — each examined in terms of knowledge and beliefs. Participants were 70 pre-service teachers and in-service teachers enrolled in a training program on AI-based English education. Data were collected through surveys, open-ended responses, and in-depth interviews. The findings indicated that, prior to professional learning, pre-service teachers demonstrated higher levels of AI integration expertise, whereas in-service teachers showed stronger English teaching expertise. With respect to beliefs, pre-service teachers expressed more positive views of AI use, while in-service teachers were more confident in English teaching but more cautious toward AI integration. Knowledge was found to significantly shape beliefs, with integrated knowledge domains (e.g., AI-TPACK) exhibiting the strongest associations. Professional learning, particularly lesson planning and teaching practice, proved essential in enhancing both knowledge and beliefs, exceeding the limited impact of lecture-based learning. These results highlight the importance of practice-based professional learning in strengthening teacher expertise and advancing AI-driven educational innovation.

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