Artificial intelligence teacher self-efficacy: a scale development and validation study

BİRCAN M. A., NACAROĞLU O., ŞEREF İ.

Interactive Learning Environments, cilt.34, sa.1, ss.414-428, 2026 (SSCI, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 34 Sayı: 1
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1080/10494820.2025.2589402
  • Dergi Adı: Interactive Learning Environments
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, Education Abstracts, Educational research abstracts (ERA), ERIC (Education Resources Information Center), INSPEC, Psycinfo
  • Sayfa Sayıları: ss.414-428
  • Anahtar Kelimeler: Artificial intelligence, scale development, self-efficacy, teacher
  • Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

This study aims to develop a scale to determine teachers’ self-efficacy towards AI. In this study, survey design was used. 680 teachers constituted the accessible population of the study. Exploratory and confirmatory factor analyses were also conducted to check the construct validity of the scale. As a result of the analysis, a three-factor structure consisting of 31 items explaining 80.7% of the variance in the scores was obtained. The correlation coefficient between the criterion and draft scales was found to be.72. Cronbach's alpha and composite reliability coefficients were calculated to check the reliability of the scale. It was determined that the reliability coefficients for the overall scale and sub-factors were greater than.70.