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ORGANIZING INDEPENDENT LEARNING USING ARTIFICIAL INTELLIGENCE IN THE CREDIT-MODULE SYSTEM

Kamola Khayrullayevna Khummamatova , Lecturer, Jizzakh State Pedagogical University

Abstract

This article explores the organization of independent learning using artificial intelligence (AI) within the credit-module system. AI technologies enable the analysis of a student’s individual learning profile and facilitate the generation of differentiated, leveled, and adaptive tasks. The article highlights the alignment of AI with the principles of individualization, assessment transparency, and the requirements of the ECTS credit-module system in higher education.

Keywords

credit, module, artificial intelligence, independent learning, differentiated approach, adaptive learning

References

Presidential Decree PF–189 (October 22, 2025). Integration of Artificial Intelligence in Education in Uzbekistan.

Resolution PQ–320 (October 30, 2025). Supporting AI-Based Projects.

PQ–312 “Digital Education Development Concept” (February 28, 2022).

X.I. Liymete. Group-Based Differentiated Approach in Education.

I.E. Unt. Theoretical and Practical Aspects of Differentiation in Education.

V.K. Shishmarenkov. Leveled Differentiated Education: Theory and Practice.

Luckin, R. (2018). Intelligent Learning: Adaptive Educational Technologies in Higher Education. London: Routledge.

Anderson, T., & Dron, J. (2019). Teaching Crowds: Learning and Social Media. Athabasca University Press.

OECD. (2022). The Impact of AI on Education: Promoting Student-Centered Learning. Paris: OECD Publishing.

Selwyn, N. (2022). Education and Technology: Key Issues and Debates. London: Bloomsbury Academic.

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ORGANIZING INDEPENDENT LEARNING USING ARTIFICIAL INTELLIGENCE IN THE CREDIT-MODULE SYSTEM. (2025). International Journal of Artificial Intelligence, 5(12), 987-990. https://www.academicpublishers.org/journals/index.php/ijai/article/view/8747