The structure, criteria, and levels of prospective teachers' competence in designing adaptive learning processes using artificial intelligence tools

Khasanov, Zafar, Хасанов, Зафар, Xasanov, Zafar

Жамият ва инновациялар / Общество и инновации / Society and innovations · 2025-yil

Annotatsiya

The relevance of this research is driven by the rapid integration of generative artificial intelligence (AI) tools into educational practice and the absence of a scientifically validated framework for future teachers' competence in designing adaptive learning processes with these tools. The purpose of this article is to theoretically substantiate and empirically test a four-component framework for AI-assisted adaptive learning design competence and to develop a system of its criteria, indicators, and proficiency levels. The methodology integrates systemic, activity-based, student-centered, and competency-based approaches; methods included a questionnaire (based on T.I. Ilyina's methodology), expert evaluation, cognitive testing, and rubric-based assessment. The pedagogical experiment involved 132 student-teachers (EG = 66, CG = 66) at two universities in Uzbekistan. The results demonstrated that the proposed framework—comprising motivational-axiological, cognitive, organizational-activity, and personal components—provides a comprehensive and operationalized description of the phenomenon under study. At the conclusion of the formative experiment, a significant improvement was observed across all four components (p < 0.001; d > 2.9), confirming the construct validity of the model. Practical significance: the developed diagnostic tools (MSA-2024, CBT-2024, AAR-2024, PAS-2024) can be applied within higher pedagogical education to monitor the development of AI competence among future teachers.

Maqola ma’lumotlari
MualliflarKhasanov, Zafar, Хасанов, Зафар, Xasanov, Zafar
JurnalЖамият ва инновациялар / Общество и инновации / Society and innovations
NashriyotIn Science МЧЖ
ISSN2181-1415
Nashr sanasi2025-05-25
Jild7
Son5/S
Betlar349-356
TilIngliz
Ilmiy sohaPedagogika
DOI10.47689/2181-1415-vol7-iss5/s-pp349-356
Indeksga qo‘shilgan2026-08-26

DOI: 10.47689/2181-1415-vol7-iss5/s-pp349-356 · Maqolaning asl sahifasi

Kalit so‘zlar

компетентность в области адаптивного проектирования, искусственный интеллект, будущие учителя, структура компетентности, педагогический опыт, генеративный ИИ, Google Gemini API, adaptive design competency, artificial intelligence, future teachers, competency framework, pedagogical experience, generative AI, Google Gemini API, adaptiv loyihalash kompetentligi, sun’iy intellekt, bo‘lajak o‘qituvchilar, kompetentlik tuzilmasi, pedagogik tajriba, generativ SI, Google Gemini API

Ilmiy soha

Pedagogika

Iqtibos keltirish

APAKhasanov, Zafar, Хасанов, Зафар, & Xasanov, Zafar (2025). The structure, criteria, and levels of prospective teachers' competence in designing adaptive learning processes using artificial intelligence tools. Жамият ва инновациялар / Общество и инновации / Society and innovations, 7(5/S), 349-356. https://doi.org/10.47689/2181-1415-vol7-iss5/s-pp349-356
GOST (OAK)Khasanov, Zafar, Хасанов, Зафар, Xasanov, Zafar The structure, criteria, and levels of prospective teachers' competence in designing adaptive learning processes using artificial intelligence tools // Жамият ва инновациялар / Общество и инновации / Society and innovations. – 2025. – T. 7, № 5/S. – P. 349-356. – DOI: 10.47689/2181-1415-vol7-iss5/s-pp349-356.
MLAKhasanov, Zafar, Хасанов, Зафар, and Xasanov, Zafar. “The structure, criteria, and levels of prospective teachers' competence in designing adaptive learning processes using artificial intelligence tools.” Жамият ва инновациялар / Общество и инновации / Society and innovations, 7(5/S), 349-356, 2025. https://doi.org/10.47689/2181-1415-vol7-iss5/s-pp349-356
ChicagoKhasanov, Zafar, Хасанов, Зафар, and Xasanov, Zafar. “The structure, criteria, and levels of prospective teachers' competence in designing adaptive learning processes using artificial intelligence tools.” Жамият ва инновациялар / Общество и инновации / Society and innovations, 7(5/S), 349-356 (2025). https://doi.org/10.47689/2181-1415-vol7-iss5/s-pp349-356
HarvardKhasanov, Zafar, Хасанов, Зафар, and Xasanov, Zafar (2025) ‘The structure, criteria, and levels of prospective teachers' competence in designing adaptive learning processes using artificial intelligence tools’, Жамият ва инновациялар / Общество и инновации / Society and innovations, 7(5/S), 349-356. https://doi.org/10.47689/2181-1415-vol7-iss5/s-pp349-356
BibTeX
@article{khasanovzafar2025,
  title = {The structure, criteria, and levels of prospective teachers' competence in designing adaptive learning processes using artificial intelligence tools},
  author = {Khasanov, Zafar and Хасанов, Зафар and Xasanov, Zafar},
  journal = {Жамият ва инновациялар / Общество и инновации / Society and innovations},
  year = {2025},
  volume = {7},
  number = {5/S},
  pages = {349-356},
  doi = {10.47689/2181-1415-vol7-iss5/s-pp349-356},
  url = {https://doi.org/10.47689/2181-1415-vol7-iss5/s-pp349-356}
}

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