The choice of the model class for predicting the dynamics of psychophysiological capabilities of high school students in adaptive learning systems

- Литвинова, С.Г. (orcid.org/0000-0002-5450-6635) and Буров, О.Ю. (orcid.org/0000-0003-0733-1120) (2019) The choice of the model class for predicting the dynamics of psychophysiological capabilities of high school students in adaptive learning systems In: ІV Всеукраїнська науково-практична конференція "Сучасні інформаційні технології в освіті та науці" ЖДУ, м. Житомир, Україна. (Submitted)

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Abstract

In order to choose an adequate mathematical apparatus for constructing predictive models of effectiveness (success) of training, it is recommended to take into account the complexity and organization of educational activities. The analysis of these indicators, as well as the experience of using predictive models in emergent technologies, allows to recommend as models multiple regression models that allow to build models based on comparison of parameters characterizing different but statistically related processes.

Item Type: Book Section
Keywords: Models, prediction, adaptive systems, psychophysiological state
Subjects: Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 ІКТ ( Application-oriented computer-based techniques ) > 004.94 Simulation
Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 373 Kinds of school providing general education
Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 5 Мathematics. natural sciences > 51 Mathematics
Divisions: Information Technologies and Learning Tools > Department of Technologies of Open Learning Environment
Depositing User: с.д/п.н.с. Oleksandr Burov
Date Deposited: 23 Jan 2020 15:58
Last Modified: 23 Jan 2020 15:58
URI: http://lib.iitta.gov.ua/id/eprint/718703

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