APPLICATION OF EDUCATIONAL DATA ANALYSIS METHODS IN THE EVALUATION OF LESSON SCENARIOS IN THE MOSCOW ELECTRONIC SCHOOL
Keywords:
Educational Data Mining, Moscow Electronic School, Integration educational data, Data MiningAbstract
The article discusses the implementation of educational data mining methodology, including traditional Data Mining methods (classification, clustering, rating analysis, etc.), to identify patterns in the assessment of lesson scenarios in the Moscow Electronic School by experts. The authors describe the educational data mining methodology as an approach to designing organizational and managerial decisions.
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Copyright (c) 2020 Ph. D. Kirill A. Barannikov, Ph. D. Sergey M. Lesin, Dr. Svetlana N. Vachkova, Lic. Ruslan S. Suleymanov, Lic. Roman B. Kupriyanov
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant Revista Inclusiones the right of publication under Creative Commons Attribution 4.0 International (CC BY 4.0). This allows use, distribution, and reproduction in any medium, provided proper attribution is given to the author.
