Generative artificial intelligence in teacher training: a narrative scoping review
Year: 2025
Type: conference-paper
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.
Source: CTE Workshop Proceedings
DOI: 10.55056/cte.920
Author: Andrii O. Kolhatin
Institution: Kryvyi Rih State Pedagogical University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4408300822