TECHNOLOGY FOR TRAINING FUTURE COMPUTER SCIENCE TEACHERS FOR THE USE OF ARTIFICIAL INTELLIGENCE IN SOLVING FACILITATION TASKS

Amirbekov A. Ibashova A. Amirbekuly A. Nurzhan I. Nurmukhanbetova G. Kumarbekuly S.
2026 University of AEGEAN

Scientific Culture
2026 #12 Issue 1.1 1236 - 1250 pp.

This study presents a technology for preparing future informatics teachers to work in an educational environment integrated with artificial intelligence (AI). The central focus is on forming the intellectual polysubject—a multilayered subject configuration that encompasses cognitive, corporeal, ethical, and facilitative levels. We propose a four-phase model of pedagogical evolution: teloreflection, working with open-ended tasks, AI-didactics, and facilitation. This model fosters the development of empathy, AI literacy, and the capacity for subject-oriented interaction. Drawing on ACT-R theory, connectivism, and actor-network theory, we substantiate the interdisciplinary validity of the model. We have also developed tools for diagnosing subjective maturity and presented visual diagrams of the educational architecture. Special emphasis is placed on the applicability of the proposed technology for teacher retraining and professional development programs. The results of this study provide both methodological and practical foundations for updating the content of teacher education in the digital age.

Artificial Intelligence , Facilitation , Intellectual Polysubject , Open-Ended Tasks , Pedagogical Technology , Pedagogy , Subjectivity , Teloreflection

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South Kazakhstan Pedagogical University, Shymkent, Kazakhstan
Central Asian Innovation University, Kazakhstan University, Shymkent, Kazakhstan
Kazakh National Pedagogical University, Almaty, Kazakhstan
Altai State University, Barnaul, Russian Federation

South Kazakhstan Pedagogical University
Central Asian Innovation University
Kazakh National Pedagogical University
Altai State University

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