CONCEPTUAL PARAMETERS AND DISTINCTIVE CHARACTERISTICS OF THE MODERN DIGITAL LEARNING ENVIRONMENT
- Authors
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Ismailov Alisher Akhtamovich
Senior Lecturer, Military Security and Defense University of the Republic of Uzbekistan
Author
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- Keywords:
- Digital learning environment, adaptive learning, artificial intelligence, intelligent diagnostics, Learning Analytics, Educational Data Mining, personalized education, cognitive style, digital profile, Data-Driven Education, pedagogical ecosystem, hyper-personalization, educational technologies.
- Abstract
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This article analyzes the theoretical and methodological foundations of transforming the educational system within the matrix of the modern digital learning environment. The essence of the digital learning environment as an intelligent ecosystem, and its integration with artificial intelligence, learning analytics, and data-driven management technologies are scientifically substantiated. Furthermore, the structural mismatches between the digital profile and cognitive characteristics of modern learners and the traditional "one-size-fits-all" model are highlighted. The study analyzes the role of adaptive learning, intelligent diagnostics, and personalized educational technologies in enhancing educational efficiency. It is substantiated that these technologies facilitate the automatic adaptation of educational content based on the learner's individual knowledge baseline, cognitive style, and learning dynamics.
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- Published
- 2026-05-24
- Issue
- Vol. 2 No. 5 (2026)
- Section
- Articles
- License
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This work is licensed under a Creative Commons Attribution 4.0 International License.
