Implementing Artificial Intelligence in Iranian Teacher Education: Tools and Challenges

Document Type : Research Paper

Authors

1 Associate Professor, Department of Educational Administration, Farhangian University, Tehran, Iran

2 Assistant Professor, Department of Educational Administration, Farhangian University, Tehran, Iran

Abstract

Objective: The present study aimed to implement artificial intelligence in teacher education in Iran: tools and challenges.
Methods: This study is a qualitative narrative scoping review in terms of its applied purpose and approach. The research field of study included empirical research, theoretical articles, surveys, case studies and researchers lived experiences and field evidence from 2020 to 2025 that significantly addressed artificial intelligence and teacher education. The statistical sample was selected purposively based on their relevance to the study objectives and questions and artificial intelligence in teacher education. Thematic analysis was used to analyze the data.
Results: The findings show that the tools of artificial intelligence applications in teacher education include intelligent tutoring systems, automated assessment and feedback systems, virtual and augmented reality, artificial intelligence-based learning and training analytics, personalized and adaptive learning systems, virtual teaching assistants, data analysis, and management decision support. The major challenges of using artificial intelligence in teacher education include ethical challenges and personal, educational, infrastructural, and cultural and social, technical, process, and organizational concerns.
Conclusions: The research results contribute to the discourse on the use of AI tools and provide practical insights for professors, policymakers, and administrators who intend to integrate AI into teacher education.

Keywords

Main Subjects

References

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Journal of Philosophical Investigations
Volume 19, Issue 52 - Serial Number 52
Articles
52 Autumn 2025
November 2025
Pages 405-428

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