The article examines the methodology for developing an adaptive software platform designed to manage independent learning. A model of the platform based on the use of adaptive learning technologies, elements of artificial intelligence, and educational analytics is proposed, ensuring the personalization of the learning process in accordance with the individual characteristics of learners. The platform analyzes the level of knowledge, the pace of mastering educational material, and the results of learning activities, forming individual educational trajectories, learning materials, and recommendations. The work also reveals the functional structure of the platform, the algorithms of its functioning, and methodological approaches that ensure pedagogical effectiveness. The obtained results indicate that the use of an adaptive software platform contributes to improving the quality of independent learning, strengthening students’ learning motivation, and improving the digital educational environment.
Methodology for Developing an Adaptive Software Platform Designed to Manage Independent Learning
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