Analytical Potential of the Distance Learning Platform InfoD Moodle MPGU

S.A. Demina; V.I. Postyrnak; M.V. Mikhaylova

Analytical Potential of the Distance Learning Platform InfoD Moodle MPGU

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S.A. Demina, V.I. Postyrnak, M.V. Mikhaylova

Abstract

The article provides data revealing the nature of the development of distance learning at Moscow Pedagogical State University. It is shown that as distance educational technologies spread, more and more data is accumulated, which can be successfully used for analyzing and designing educational results. Software solutions and approaches for developing the functionality of the Moodle platform for the purpose of predicting academic performance are described.

General Information

Keywords: educational data analysis, distance learning platform, educational analytics, artificial intelligence

Publication rubric: Modeling and Data Analysis for Digital Education

Article type: theses

For citation: Demina S.A., Postyrnak V.I., Mikhaylova M.V. Analytical Potential of the Distance Learning Platform InfoD Moodle MPGU. Digital Humanities and Technology in Education (DHTE 2023),, pp. 533–548.

Information About the Authors

Svetlana A. Demina, Candidate of Science (Economics), associate professor, Director of the Center for Distance Educational Technologies, Moscow Pedagogical State University (FSBEI HE MPGU), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-1637-4587, e-mail: svetlana-mefi@yandex.ru

Valery I. Postyrnak, associate professor, leading specialist of the Center for Distance Educational Technologies, Moscow Pedagogical State University (FSBEI HE MPGU), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-3073-549X, e-mail: vip_1948@mail.ru

Marina V. Mikhaylova, Doctor of Physics and Matematics, Professor, Head of the Department of Business Informatics, Institute of Management, Economics and Finance, University of World Civilizations named after. V.V. Zhirinovsky, Professor of the Department of Algebra, Moscow State Pedagogical University, Moscow, Russian Federation, e-mail: mmvne@yandex.ru

Analytical Potential of the Distance Learning Platform InfoD Moodle MPGU

Abstract

General Information

Information About the Authors

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