Intelligent analysis of educational data of the educational discipline using the Orange program

Olga I. Kitaeva

Irkutsk National Research Technical University

The article considers the concept of intellectual analysis of educational data and analyzes the educational data of the academic discipline of the university. The relevance of the topic is due to the need to improve the quality of the educational process. The main method is to obtain intellectually improved visual forms of data for a more effective understanding of the patterns hidden in them. The paper considers the possibilities of using the open source software product "Orange" for the implementation of data mining for the current and intermediate certification of bachelor students in the academic discipline “Operations Research”. As a result of the analysis, problems were identified in the process of mastering the discipline and ways to solve them were proposed.

intellectual analysis of educational data, Orange, analysis of current student performance, visualization

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