Volume 3, Issue 1 (January 2026)                   JCALS 2026, 3(1): 0-0 | Back to browse issues page

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Esfandiari R, Arefian M H. A Qualitative Study of AI-Assisted Coaching in Iranian In-service EFL Teachers. JCALS 2026; 3 (1) : 1
URL: http://cals.gonbad.ac.ir/article-1-65-en.html
Imam Khomeini International University
Abstract:   (23 Views)
Lifelong learning is indispensable for EFL teachers, yet traditional professional development (PD) often fails to be continuous, or personalized. This study explored the potential of AI-assisted coaching to address this gap within under-resourced public schools in Iran. Employing an interpretative phenomenological analysis (IPA) design, the researchers collected the data through semi-structured interviews, reflective journals, and classroom observations from 17 Iranian in-service EFL teachers following a 2-week blended AI coaching workshop. Findings revealed that the teachers perceived that AI tools supported continuous professional development (CPD), by providing tailored feedback, facilitating reflective practice, and empowering data-driven teaching modifications. Challenges included infrastructural inequalities, ethical concerns, and tensions between AI reliance and teacher autonomy. The findings highlight AI’s potential as a scaffold for adaptive teaching while stressing the need for culturally responsive, equitable, and teacher-centered AI incorporation. The findings prioritize the development of teacher-controlled AI tools that respect autonomy while offering context-sensitive support.
 
Article number: 1
     
Type of Study: Research | Subject: Special
Received: 2025/07/6 | Accepted: 2025/09/23 | Published: 2026/01/1

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.