PRINCIPLES AND ARCHITECTURAL APPROACHES TO DESIGNING AN INTELLIGENT ADAPTIVE LEARNING PLATFORM WITH AI-BASED PERSONALIZED INTERACTION

DOI: 10.31673/2412-4338.2026.019014

Authors

Abstract

This paper investigates the principles and architectural approaches to designing intelligent adaptive learning platforms with personalized interaction based on artificial intelligence technologies. The relevance of the study is driven by the growing role of digital learning environments, the need for individualized instruction, and the limitations of traditional approaches to educational content management. Recent scientific works in the fields of adaptive learning, AI-driven educational systems, gamification, and learning analytics are analyzed, which makes it possible to identify key trends in the development of intelligent platforms. The fundamental design principles of such systems are systematized, including personalization, dynamic content adaptation, learner modeling, continuous behavioral data analysis, timely feedback, explainability of AI decisions, and gamified motivation. Architectural approaches to implementing adaptive platforms are considered, in particular modular, data-driven, AI-oriented, and flexible runtime architectures that ensure scalability and system reconfiguration during operation. A generalized hybrid architecture of an intelligent adaptive learning platform is proposed, combining a learner model, a domain knowledge model, adaptation mechanisms, an analytics layer, and a personalized interaction subsystem. The practical significance of the results lies in the possibility of applying the proposed approaches in the design of modern educational platforms, distance learning systems, and intelligent tutoring systems. The obtained generalizations form a theoretical foundation for further research in the field of intelligent educational technologies.

Keywords: adaptive learning, intelligent tutoring systems, personalized learning, artificial intelligence, learner model, gamification, learning analytics, adaptive interfaces, educational platforms.

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Published

2026-04-01

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Articles