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Intelligent Educational Data Analysis for Creation a Personalized eLearning Environment

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V.I. Toktarova, O.G. Kazantseva

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Abstract

Digitalization is one of the most important directions in the development of the modern education system. The introduction of digital technologies into the educational process leads to the emergence of a large amount of information. The article discusses the main possibilities of using educational data mining in the development of a personalized learning environment. Methods of data analysis in the field of education are considered and the types of problems that can be solved with their help are described. A model for creation a personalized eLearning environment based on the analysis of educational data is proposed, the purpose of which is to predict student success in the learning process based on his individual characteristics and educational results.

General Information

Keywords: data mining, personalization, personalized learning environment, educational data, student, university

Publication rubric: Intelligent Technologies in Humanities and Education

Article type: scientific article

For citation: Toktarova V.I., Kazantseva O.G. Intelligent Educational Data Analysis for Creation a Personalized eLearning Environment. Digital Humanities and Technology in Education (DHTE 2021): Collection of Articles of the II All-Russian Scientific and Practical Conference with International Participation. November 11-12, 2021 / V.V. Rubtsov, M.G. Sorokova, N.P. Radchikova (Eds). Moscow: Publishing house MSUPE, 2021., pp. 343–352.

References

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Information About the Authors

Vera I. Toktarova, Doctor of Education, assistant professor, Professor of the Department of Applied Mathematics and Informatics, Rector's Advisor, Mari State University, Yoshkar-Ola, Russia, ORCID: https://orcid.org/0000-0002-3590-3053, e-mail: toktarova@yandex.ru

Olesya G. Kazantseva, graduate student, Mari State University, Yoshkar-Ola, Russia, ORCID: https://orcid.org/0000-0002-2666-1005, e-mail: olesya_popova10@mail.ru

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