Exploring the Relationship Between Teachers' AI Attitudes, AI Self‐Efficacy, and AI Technological Pedagogical Content Knowledge

ABSTRACT This study examines the relationships between teachers' attitudes toward artificial intelligence (AI), AI self‐efficacy, and AI technological pedagogical content knowledge (AI‐TPACK). The participants comprised 524 teachers working in preschool and primary schools. Data were collected using AI attitude, AI self‐efficacy, and AI‐TPACK scales. Pearson correlation analysis and structural equation modelling (SEM) were employed for data analysis. The findings indicate that teachers' AI self‐efficacy is significantly and positively associated with AI attitudes and AI‐TPACK. Furthermore, teachers' positive attitudes toward AI significantly influenced their AI‐TPACK and AI self‐efficacy. In contrast, negative attitudes toward AI were negatively correlated with AI self‐efficacy but did not show a significant relationship with AI‐TPACK. Additionally, AI‐TPACK played a mediating role in the relationship between attitudes toward AI and AI self‐efficacy. These findings contribute to the growing body of research on teachers' attitudes toward AI, AI self‐efficacy, and AI‐TPACK.

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Publication Details

Journal
European Journal of Education
Published
2025-11-20
DOI
https://doi.org/10.1111/ejed.70332
Citations
1
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
1.69
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article

Exploring the Relationship Between Teachers' AI Attitudes, AI Self‐Efficacy, and AI Technological Pedagogical Content Knowledge

Ahmet Erol, Merve Canbeldek, Feride Gök Çolak, Mustafa Erol
1 citations
European Journal of Education
Teaching and Learning Programming
1.69
article

Exploring the Relationship Between Teachers' AI Attitudes, AI Self‐Efficacy, and AI Technological Pedagogical Content Knowledge

Ahmet Erol, Merve Canbeldek, Feride Gök Çolak, Mustafa Erol
article en
1 citations

Abstract

ABSTRACT This study examines the relationships between teachers' attitudes toward artificial intelligence (AI), AI self‐efficacy, and AI technological pedagogical content knowledge (AI‐TPACK). The participants comprised 524 teachers working in preschool and primary schools. Data were collected using AI attitude, AI self‐efficacy, and AI‐TPACK scales. Pearson correlation analysis and structural equation modelling (SEM) were employed for data analysis. The findings indicate that teachers' AI self‐efficacy is significantly and positively associated with AI attitudes and AI‐TPACK. Furthermore, teachers' positive attitudes toward AI significantly influenced their AI‐TPACK and AI self‐efficacy. In contrast, negative attitudes toward AI were negatively correlated with AI self‐efficacy but did not show a significant relationship with AI‐TPACK. Additionally, AI‐TPACK played a mediating role in the relationship between attitudes toward AI and AI self‐efficacy. These findings contribute to the growing body of research on teachers' attitudes toward AI, AI self‐efficacy, and AI‐TPACK.

European Journal of EducationVol. 60(4)
Pamukkale University (TR), Istanbul Technical University (TR)
Openalex Percentile: Top 9%
Teaching and Learning Programming
1.69
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