🏆 Best Paper Award – CYSP 2025 – University of Tehran
Designing and Evaluating an Integrated AI-Based Educational System for Enhancing Critical Analysis Skills in Pre-Service Teachers
Author: Dr. Hossein Talebzadeh
Abstract
In light of the emerging challenges and opportunities of generative artificial intelligence (GenAI) in teacher education, this study designs, implements, and evaluates an integrated educational system aimed at enhancing the critical analysis skills of pre-service teachers. Utilizing a qualitative case study design, the research involved history and social sciences student-teachers at Farhangian University. Data from their experiences in an AI-assisted textbook content analysis project were collected via evaluation forms and analyzed using thematic analysis. The findings revealed dual challenges (technical and human) alongside multifaceted learning outcomes (technical, pedagogical, and soft skills). Crucially, the results uncovered a dialectical relationship between challenge and learning, conceptualizing the role of AI as a pedagogical assistant that fosters transformative learning by engineering cognitive conflict. The study concludes that the efficacy of AI in teacher education relies heavily on its integration into a rigorous educational system where challenges become learning opportunities and technology acts as a catalyst for professional identity development.
Keywords: Generative AI in Education, Teacher Education, Transformative Learning.