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The Effectiveness of an Intensive Generative Artificial Intelligence Professional Development Program on Primary School Teachers’ AI-PCK: The Pivotal Role of Assessment Rubric Design
حسین طالبزاده | دومین کنفرانس بینالمللی مطالعات کاربردی در فرآیندهای تعلیم و تربیت (ISC)
خلاصه پژوهش: این تحقیق با هدف ارزیابی اثربخشی برنامه توسعه حرفهای فشرده هوش مصنوعی مولد بر ارتقای دانش پداگوژی محتوای مبتنی بر هوش مصنوعی (AI-PCK) با مشارکت ۱۴۲ معلم ابتدایی انجام شد. یافتههای آماری نشان داد که برخلاف تصور عمومی، اولویت اصلی معلمان در عصر هوش مصنوعی از ابزارهای تولید محتوا به سمت تسلط بر طراحی روبیکهای ارزیابی فرآیندمحور تغییر یافته است…
ادامه مطلب و دریافت مستندات علمی ←
🏆 مقاله برگزیده (Best Paper Award) در چهارمین کنفرانس فضای مجازی دانشگاه تهران (CYSP 2025)
Designing and Evaluating an Integrated AI-Based Educational System for Enhancing Critical Analysis Skills in Pre-Service Teachers
نویسنده: دکتر حسین طالبزاده | مدرس و پژوهشگر علوم تربیتی
چکیده مقاله (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.
کلمات کلیدی بینالمللی: Generative AI in Education, Teacher Education, Transformative Learning, Cognitive Conflict, AI-Augmented Pedagogy, Textbook Content Analysis, Romey’s Inquiry Index.
شناسنامه و دسترسی بینالمللی
🌐 مشاهده و ارجاع در Zenodo (DOI) 🆔 پروفایل ORCID نویسنده
Empirical Dataset: AI-Resistant Performance Tasks Generated by Novice Teacher Based on the Integrated AI Triade (IAT) Model
Principal Investigator: Dr. Hossein Talebzadeh
Publisher / Repository: Zenodo
Publication Date: 2025
Abstract
This dataset comprises comprehensive task design artifacts (Volume 1) spanning over 600 pages of empirical, AI-resistant performance tasks. These artifacts were systematically designed by novice teachers participating in dedicated IAT model workshops. The dataset showcases practical frameworks to leverage artificial intelligence for creating highly contextualized, creative tasks, divided into three distinct pedagogical rubrics: Scenario-Based Tasks, Comparative Analysis Tasks, and Creation & Critique Tasks.
Keywords: IAT Model, AI-Resistant Performance Tasks, Educational Sciences, Novice Teachers, Task Design Artifacts.
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The Role of Artificial Intelligence in Green Education: Optimizing Teacher Workflow and Enhancing Pedagogical Design under the Sustainable Development Pedagogy (SDP) Constraint
Author: Dr. Hossein Talebzadeh
Conference: 3rd National Conference on Green Industries Innovation, University of Mazandaran
Publication Date: December 2025
Abstract
This study investigates the efficacy of applying pedagogical constraints centered on sustainable development to improve the quality of instructional design among pre-service teachers within the framework of the Integrated AI Triad (IAT) model. Utilizing a quasi-experimental design, the lesson plans of 28 pre-service teacher teams were compared across Baseline and Sustainable Development Pedagogy (SDP) phases. Paired t-test results demonstrated a significant improvement in overall design quality (t(27) = 13.78, p < 0.001) with a very large effect size (d = 2.80). The highest increase was observed in the SDP workflow compliance index (183%). These findings indicate that enforcing zero-paper resource management constraints assisted by AI serves as a strategic catalyst, transforming the teacher’s role from a mere pedagogical designer into an efficient, reflective strategic educational manager.
Keywords: Green Education Innovation, Sustainable Digital Pedagogy (SDP), Design Leap, Generative AI, Integrated AI Triad (IAT) Model, Resource Management, Pre-service Teachers.
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Smart Pedagogical Designs for Primary Science Grade 6: Bridging National Standards with Global AI-Augmented Pedagogy
Authors/Creators: Hossein Talebzadeh, Maryam Sahebkhani (Researcher)
Hosting Institution: Noor-e-Iman Girls’ Educational Complex
Repository / Publisher: Zenodo
Resource Type: Empirical Dataset / Instructional Artifacts
Description
This dataset presents a collection of AI-integrated lesson plans for Grade 6 Science, structured through the SAHAB 7-stage constructivist pattern and the Integrated AI Triad (IAT) model. The primary objective of this work is to bridge the gap between national educational mandates (specifically the Iranian Fundamental Reform Document) and global pedagogical innovations in the age of Generative AI. The framework conceptualizes AI as a “Cognitive Scaffold” that fosters Student Agency and inquiry-based learning. While the content is strictly aligned with local curriculum standards, the underlying architecture is designed for Global Scalability, offering a universal blueprint for human-centric AI integration in primary education. This resource is vital for educators and researchers seeking to localize AI technology within their specific cultural and educational frameworks.
Keywords: Smart Pedagogical Designs, Primary Science, SAHAB Pattern, Integrated AI Triad (IAT) Model, Student Agency, Cognitive Scaffold, Global Scalability.