METHODOLOGICAL POSSIBILITIES OF GENERATIVE ARTIFICIAL INTELLIGENCE TOOLS IN EDUCATION

Received: 2026-05-22

Published: 2026-06-06

Abstract

This article analyzes the methodological possibilities of applying generative artificial intelligence (GenAI) tools — ChatGPT, Claude, Gemini, and others — in the educational process. The principles of methodological integration of generative AI tools with Bloom's taxonomy are examined. Six main didactic directions are identified, and prompt engineering strategies are proposed for each. The author has developed a pedagogical prompt engineering methodology based on the C-D-M-I (Context – Didactic goal – Methodological constraint – Interactive integration) model.

List of references

  1. Holmes W., Tuomi I. State of the art and practice in AI in education // European Journal of Education. – 2022. – Vol. 57, No. 4. – P. 542–570.

  2. O'zbekiston Respublikasi Prezidentining 2024-yil 14-oktabrdagi PQ-358-sonli "Sun'iy intellekt texnologiyalarini 2030-yilga qadar rivojlantirish strategiyasini tasdiqlash to'g'risida"gi qarori. – Toshkent, 2024.

  3. М. Р. Тошпўлатов. Baholash mezonlarini yaratishda sun'iy intellektning K-D-M-I modeli asosida qo'llanilishi // Qo'qon DPI Ilmiy axborotnomasi. – 2025.

  4. Anderson L.W., Krathwohl D.R. A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom's Taxonomy of Educational Objectives. – New York: Longman, 2001. – 352 p.

  5. UNESCO. Guidance for generative AI in education and research. – Paris: UNESCO Publishing, 2023. – 44 p.

  6. Celik I. Towards Intelligent-TPACK: An empirical study on teachers' professional knowledge to ethically integrate AI-based tools into education // Computers in Human Behavior. – 2023. – Vol. 138. – Article 107468.

  7. Selwyn N. Should Robots Replace Teachers? AI and the Future of Education. – Cambridge: Polity Press, 2021. – 180 p.

  8. Lo C.K. What is the impact of ChatGPT on education? A rapid review of the literature // Education Sciences. – 2023. – Vol. 13, No. 4. – Article 410.

  9. Bloom B.S. Taxonomy of Educational Objectives: The Classification of Educational Goals. – New York: David McKay, 1956. – 207 p.

  10. Mollick E., Mollick L. Assigning AI: Seven Approaches for Students, with Prompts // The Wharton School Research Paper. – 2023. – DOI: 10.2139/ssrn.4475995.

  11. Leveraging generative AI for course learning outcome categorization using Bloom's taxonomy // Computers and Education: Artificial Intelligence. – 2025. – Vol. 8.

  12. Goodfellow I., Bengio Y., Courville A. Deep Learning. – Cambridge: MIT Press, 2016. – 800 p.

  13. A Framework to Align the Third Level of Bloom's Taxonomy with Generative AI for Learning Activities Design // European Conference on e-Learning Proceedings. – 2025.

  14. Abduqodirov A.A., Pardaeva M. Ta'limda sun'iy intellekt texnologiyalaridan foydalanishning pedagogik asoslari // Multidisciplinary Journal of Science and Technology. – 2026.

  15. Lightweight Prompt Engineering for Cognitive Alignment in Educational AI: A OneClickQuiz Case Study // arXiv preprint. – 2025. – arXiv:2510.03374.

About the Authors

Rahmonov Mirzokhid
Andijan State Pedagogical Institute

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How to Cite

METHODOLOGICAL POSSIBILITIES OF GENERATIVE ARTIFICIAL INTELLIGENCE TOOLS IN EDUCATION. (2026). MMIT Proceedings, 953-958. https://doi.org/10.61587/

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