This paper identifies the mechanisms for implementing the adaptive learning content, the problems of formation and storage of user profile of the "Smart lab" intellectual system for different modes of learning. The learning modes of the smart lab model are defined, problems of the adaptation of learning content for different types of users and end equipment are described, the main characteristics and types of users of the intelligent system are identified, and the types of training and educational content appropriate to different training modes of the Smart lab model are determined. The main principles of the "Smart lab" structure and fields of usage are given.
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