Abstract
The current problem of evolution of adaptive and intelligent technologies of modern education, their influence on digital infrastructure of educational environment is considered. The purpose of the study is an evolutionary system analysis of the digital opportunities for the effective development of the information and educational space of universities from the Russian model of competence-oriented education. Formal (mathematical) model of adaptive learning decision making is proposed. Research methods are analysis-synthesis, composition-decomposition, aggregation, logical, formalization, modeling, etc. Key methods, approaches and technologies of adapting and intellectualizing web-learning are considered, as well as didactic aspects. The main goals of adaptive vocational education are highlighted. The issues of self-organization, web-education, their adaptation to digital transformations in society, the environment of the educational system were investigated. The list of basic intelligent web learning technologies is proposed. The main directions of web-learning systems for implementation of individual, adaptive, interactive and cognitive approaches to training are highlighted. The results of the work are applicable to improving the legal basis of the Russian system of remote and digital technologies at all levels of education. A general mathematical model of the student's adaptive profile is proposed, taking into account the learning scenario, learning success, the adaptation mechanism and the starting state. The results of the work will help solve these problems more effectively and more fully.
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Kaziev, V.M., Glukhova, L.V. (2022). Adaptive and Intelligent Web-Based Learning and Control Technologies. In: Ivanović, M., Klašnja-Milićević, A., Jain, L.C. (eds) Handbook on Intelligent Techniques in the Educational Process. Learning and Analytics in Intelligent Systems, vol 29. Springer, Cham. https://doi.org/10.1007/978-3-031-04662-9_5
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