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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

TCR (Google Scholar): 4.11, TCR (Crossref): 13, g-index: 90

Peer Reviewed Journal

Vol. 11, Issue 2, Part B (2025)

Digitization and use of AI in teacher education: A qualitative study

Digitization and use of AI in teacher education: A qualitative study

Author(s)
Rouf Ahmad Bhat, Rasik Ahmad Reshi, Ghulam Ud Din Qurashi and Mansoor Ahmad Lone
Abstract
This qualitative study investigates the integration of digital technologies and artificial intelligence in teacher education programs at two premier teacher training institutions in Jammu and Kashmir, India. Through in-depth interviews with teacher educators and pre-service teachers, the research explores the current state of digital transformation in teacher education and examines the opportunities and challenges in implementing AI-based teaching-learning approaches. The study was conducted at the Institute of Advanced Studies in Education, Srinagar and Government College of Education, Jammu, with 20 participants. Thematic analysis of interview data revealed significant findings regarding infrastructure readiness, pedagogical adaptation, and stakeholder perspectives on AI integration. The research provides valuable insights for policy makers and teacher education institutions in developing frameworks for technology integration in teacher preparation programs.
Pages: 126-128  |  241 Views  93 Downloads


International Journal of Applied Research
How to cite this article:
Rouf Ahmad Bhat, Rasik Ahmad Reshi, Ghulam Ud Din Qurashi, Mansoor Ahmad Lone. Digitization and use of AI in teacher education: A qualitative study. Int J Appl Res 2025;11(2):126-128. DOI: 10.22271/allresearch.2025.v11.i2b.12350
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