Exploring AI integration in United Arab Emirates’ teacher education programmes: the voice of educators leading the change

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Authors: Ayman Massouti, Sandra Baroudi, Nessrin M. Shaya
Cited by: 1
References: 37

Abstract

This qualitative study investigates teacher educators’ (TEs) perceptions of integrating artificial intelligence (AI) into pre-service teacher education programmes in the United Arab Emirates (UAE). In particular, this study explores the opportunities and challenges of AI integration in teacher education curricula, pedagogical implications, policy and ethical dimensions for future K–12 classrooms. Semi-structured interviews were conducted with 19 TEs from various higher education institutions in the UAE. Thematic analysis revealed three core findings: insufficient AI awareness among teacher educators; profound ethical concerns, namely algorithmic bias, equity issues, academic integrity (especially with generative AI), risk of diminishing critical thinking and human connection; and the urgent need for robust, context-sensitive ethical frameworks and policy reforms in UAE teacher education. This study recommends revisiting institutional policies to ensure their alignment with the UAE’s digital ambitions to empower ethically responsible future teachers in AI-augmented classrooms.

Fields of Study & Subjects

Socioeconomic Development in MENA Education and Islamic Studies Educational Assessment and Improvement

Publication details

Journal / source
Cambridge Journal of Education
Publisher
Informa UK Limited
Volume
56
Issue
3
Pages
383–401
Publication date
1 April 2026
Language
EN