Generative artificial intelligence in teacher training: a narrative scoping review

The emergence of generative artificial intelligence (GenAI) has transformed various sectors, including education. This narrative scoping review examines how GenAI is being integrated into teacher training programs, exploring its applications, benefits, challenges, and implementation frameworks. By synthesizing findings from recent literature (2022-2025), we identify key themes including the development of AI literacy among teachers, the impact on pedagogical content knowledge, and ethical considerations in implementation. Our analysis reveals significant benefits of GenAI in enhancing teaching performance and facilitating personalized learning, while also highlighting challenges such as technical limitations, ethical concerns, and resistance to change. We identify gaps in current research, particularly in non-STEM subjects and ethical framework development, and suggest directions for future research to advance the responsible integration of GenAI in teacher education.

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Publication Details

Journal
CTE Workshop Proceedings
Published
2025-03-11
DOI
https://doi.org/10.55056/cte.920
Citations
1
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
1.69
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article

Generative artificial intelligence in teacher training: a narrative scoping review

Andrii O. Kolhatin
1 citations
CTE Workshop Proceedings
Online Learning and Analytics
1.69
article

Generative artificial intelligence in teacher training: a narrative scoping review

Andrii O. Kolhatin
article en
1 citations

Abstract

The emergence of generative artificial intelligence (GenAI) has transformed various sectors, including education. This narrative scoping review examines how GenAI is being integrated into teacher training programs, exploring its applications, benefits, challenges, and implementation frameworks. By synthesizing findings from recent literature (2022-2025), we identify key themes including the development of AI literacy among teachers, the impact on pedagogical content knowledge, and ethical considerations in implementation. Our analysis reveals significant benefits of GenAI in enhancing teaching performance and facilitating personalized learning, while also highlighting challenges such as technical limitations, ethical concerns, and resistance to change. We identify gaps in current research, particularly in non-STEM subjects and ethical framework development, and suggest directions for future research to advance the responsible integration of GenAI in teacher education.

CTE Workshop ProceedingsVol. 12
Kryvyi Rih State Pedagogical University (UA)
Quality Education
Openalex Percentile: Top 15%
Online Learning and Analytics
1.69
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