Analysis of individual characteristics of higher education entrants for choosing the training direction

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The article considers one of the serious problems of universities: the problem of choosing the direction of study. Every applicant who enters the university faces this problem. A wrong choice of direction leads to low student performance, possible abandonment of the profession and, consequently, to a decrease in the learning efficiency. To solve this problem, the article proposes the use of an intelligent decision support system. It allows to build a predictive model that links together the individual characteristics of applicants and the likelihood of a successful graduation in the chosen direction of study. The information received will be used to assist the applicant in choosing the direction of study. Having this information, the applicant will consciously approach the question of choosing their future specialization.

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Decision trees, intelligent decision support system, data mining, individual characteristics, learning efficiency

Короткий адрес: https://sciup.org/140256257

IDR: 140256257   |   DOI: 10.18469/ikt.2020.18.2.13

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