CONCEPTUAL FOUNDATIONS AND DEVELOPMENT PROSPECTS OF ARTIFICIAL INTELLIGENCE-BASED ADAPTIVE LEARNING SYSTEMS
- Authors
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Azizov Dilshod Zokhidkhon ugli
Head of Cycle of the Military Security and Defense University of the Republic of Uzbekistan
Author
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- Keywords:
- Adaptive learning, artificial intelligence, student model, domain model, adaptation engine, machine learning, knowledge tracing, personalized education.
- Abstract
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This scientific article analyzes the conceptual foundations, structural elements, and operational mechanisms of Adaptive Learning Systems. These systems are defined as intelligent platforms that analyze the instructional process in real-time and automatically calibrate learning materials to match the learner's specific knowledge baseline. The paper elaborates thoroughly on the three primary architectural components of the system: the student model, the domain (content) model, and the adaptation engine (algorithms). Furthermore, the strategic role of artificial intelligence and machine learning algorithms in adaptive education is examined, along with the core implementation challenges and prospective developmental trends of these systems.
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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.
