THE DATA ANALYSIS APPROACH IN IT-SUPPORT OF INCLUSIVE EDUCATION

Volodymyr Pasichnyk, Tetiana Shestakevych

Abstract


The paper considers the features of the modern understanding of education as a learner-centered process. The individualization of the learning takes into account the psycho-physical development of the person, its abilities, and special educational requirements in order to ensure favorable conditions for the full development of the personality. The features of the use of information and communication tools to support inclusive education as a form of learner-centered learning were analyzed. The main requirements for recommender systems of information technology support of learner-centered education were outlined, and the main participants in this process were identified. The recommender system of learner-centered inclusive education gives the opportunity to facilitate the work of participants in this process and make improvements in such a process. The application of information technologies to support learner-centered inclusive education gives the opportunity to accumulate large amounts of data. The use of the multivariate analysis technology for the data processing will allow the most effective planning of educational strategies for persons with special needs.

Keywords


education systems, inclusive education, individual learning trajectory, big data, multivariate data analysis

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