APPLICATION OF EDUCATIONAL DATA ANALYSIS METHODS IN THE EVALUATION OF LESSON SCENARIOS IN THE MOSCOW ELECTRONIC SCHOOL
Palabras clave:
Educational Data Mining, Moscow Electronic School, Integration educational data, Data MiningResumen
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.
Publicado
20-02-2020
Cómo citar
Barannikov, Kirill, Sergey Lesin, Svetlana Vachkova, Ruslan Suleymanov, y Roman Kupriyanov. 2020. «APPLICATION OF EDUCATIONAL DATA ANALYSIS METHODS IN THE EVALUATION OF LESSON SCENARIOS IN THE MOSCOW ELECTRONIC SCHOOL». Revista Inclusiones, febrero, 01-08. https://www.revistainclusiones.org/index.php/inclu/article/view/1205.
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