AI-ENHANCED METHODOLOGICAL TRAINING FOR FUTURE TEACHERS

Authors

  • Najmiddinova Gulnora Najmiddin kizi PhD Student of Navoi State University

DOI:

https://doi.org/10.55640/

Keywords:

Equity of access, Bias and Ethics, Teacher attitudes, technical limitations, Curriculum integration, Limitations and Challenges, AI pedagogy.

Abstract

Artificial intelligence (AI) is transforming education, but its integration into teacher preparation remains underdeveloped. This article reviews current approaches to AI in teacher training and proposes a structured framework for embedding AI technologies into pre-service and in-service teacher education. We outline a staged methodology – from foundational AI literacy to immersive practice and reflective assessment – aligned with emerging competency frameworks. The model leverages adaptive learning systems, AI tutors, chatbots, and simulations to personalize and enrich methodological training. Benefits include individualized instruction and increased efficiency, while challenges involve equity, privacy, and ethical use of AI. We discuss implications for pedagogy (e.g. data-driven teaching), curriculum design (incorporating AI literacy and AI-enabled tools), and teacher competencies (drawing on UNESCO’s five AI dimensions). Finally, we highlight the need for ongoing research and policy support to realize an AI-augmented future for teacher preparation.

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References

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10. Najmiddinova G.N. "Artificial Intelligence Technologies and How to Use Them Properly in Education." Mejdunarodnoy ochno-ochnoy nauchno-prakticheskoy conference. Aktualnye problemy sovremennoy Tatarsky filologii, Ufa, November 22, 2024. 201-204 str.

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Published

2025-05-13

Issue

Vol. 4 No. 4 (2025): Journal of Multidisciplinary Sciences and Innovations

Section

Articles

License

Creative Commons License

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

Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

How to Cite

AI-ENHANCED METHODOLOGICAL TRAINING FOR FUTURE TEACHERS. (2025). Journal of Multidisciplinary Sciences and Innovations, 4(4), 248-253. https://doi.org/10.55640/

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