The article is dedicated to the development and application of information technologies to support the educational process of individuals with special educational needs. A conceptual model is proposed that combines modern information and communication technologies, artificial intelligence methods and mathematical models for personalizing learning and taking into account the individual characteristics of participants in the educational process. Specific requirements for an inclusive environment are considered, in particular, taking into account the cognitive, sensory and communication characteristics of students. Existing approaches to the use of information and communication technologies are analyzed, in particular, artificial intelligence systems, mathematical modeling and adaptive learning platforms. An analysis of domestic and foreign research in the field of inclusive learning and the implementation of digital solutions is conducted, and the advantages of integrating intelligent systems into learning platforms are also identified. The scientific novelty lies in the fact that for the first time a model for supporting inclusive learning has been developed, which is based on a mathematical description of this process and, unlike known solutions, involves the integrated use of information technologies at each stage of learning, which made it possible to determine the structural and functional requirements for the platform architecture and ensure effective information support for an inclusive educational environment. Practical examples of the use of UML diagrams and Petri nets to formalize processes and reflect the interaction between key learning participants are given. The results of the work may be useful for developers of educational systems and inclusion specialists. The use of the described solutions makes it possible to increase the effectiveness of learning, promote social adaptation and develop the potential of individuals with special educational needs in the modern information space.
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