Generative AI in initial teacher education: Exploring the alignment of perceptions and experiences of pre-service teachers and their teacher educators

As generative artificial intelligence (GenAI) becomes increasingly embedded in education, teacher educators play a pivotal role in modelling its pedagogical use. This mixed-methods study explores how pre-service teachers' perceptions and experiences with GenAI align with or diverge from those of their teacher educators in a Norwegian teacher education programme. Survey and interview data from pre-service teachers (n = 209) and teacher educators (n = 17) reveal that both groups recognise GenAI's potential to enhance efficiency and support learning. However, concerns persist regarding trust, ethical use, and the erosion of core teaching competencies. While experienced GenAI users actively model GenAI integration, novice users express uncertainty and caution. The findings highlight differing perceptions and underscore the need for structured AI literacy development and institutional support. This study emphasises the importance of aligning teacher education practices with evolving technological landscapes to prepare future educators for critical, reflective, and pedagogically grounded GenAI use. • Explores GenAI perceptions among pre-service teachers and teacher educators. • Mixed methods study conducted in a Norwegian teacher education programme. • Finds divergence in GenAI use, confidence, and pedagogical integration. • Identifies need for structured AI literacy in teacher education curricula. • Highlights role of teacher educators in modelling ethical GenAI practices.

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Publication Details

Journal
Teaching and Teacher Education
Published
2026-01-14
DOI
https://doi.org/10.1016/j.tate.2026.105382
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Generative AI in initial teacher education: Exploring the alignment of perceptions and experiences of pre-service teachers and their teacher educators

Synnøve Moltudal, Siv M. Gamlem, Joshua A. McGrane, Therese N. Hopfenbeck et al.
Teaching and Teacher Education
Ethics and Social Impacts of AI
article

Generative AI in initial teacher education: Exploring the alignment of perceptions and experiences of pre-service teachers and their teacher educators

Synnøve Moltudal, Siv M. Gamlem, Joshua A. McGrane, Therese N. Hopfenbeck, Samantha-Kaye Johnston
article en

Abstract

As generative artificial intelligence (GenAI) becomes increasingly embedded in education, teacher educators play a pivotal role in modelling its pedagogical use. This mixed-methods study explores how pre-service teachers' perceptions and experiences with GenAI align with or diverge from those of their teacher educators in a Norwegian teacher education programme. Survey and interview data from pre-service teachers (n = 209) and teacher educators (n = 17) reveal that both groups recognise GenAI's potential to enhance efficiency and support learning. However, concerns persist regarding trust, ethical use, and the erosion of core teaching competencies. While experienced GenAI users actively model GenAI integration, novice users express uncertainty and caution. The findings highlight differing perceptions and underscore the need for structured AI literacy development and institutional support. This study emphasises the importance of aligning teacher education practices with evolving technological landscapes to prepare future educators for critical, reflective, and pedagogically grounded GenAI use. • Explores GenAI perceptions among pre-service teachers and teacher educators. • Mixed methods study conducted in a Norwegian teacher education programme. • Finds divergence in GenAI use, confidence, and pedagogical integration. • Identifies need for structured AI literacy in teacher education curricula. • Highlights role of teacher educators in modelling ethical GenAI practices.

Teaching and Teacher EducationVol. 172
Volda University College (NO), Victorian Curriculum and Assessment Authority (AU), University of Oxford (GB)
Quality Education
Openalex Percentile: Top 89%
Ethics and Social Impacts of AI
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