title: ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² Ð¸Ð·ÑÑÐµÐ½Ð¸Ñ Ð´Ð¸ÑÑÐ°Ð½ÑÐ¸Ð¾Ð½Ð½Ð¾Ð³Ð¾ ÐºÑÑÑÐ° Ð¼ÐµÑÐ¾Ð´Ð°Ð¼Ð¸ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÑÐ°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð´Ð°Ð½Ð½ÑÑ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Researching the results of distance learning using data mining methods
Creators: name: ÐÑÑÐ¾Ð²Ð°, ÐÐ°ÑÐ°Ð»Ð¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: ÐÑÐºÑÑÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑ
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Ð¡ÑÐ°ÑÐ¸ÑÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¼Ð½Ð¾Ð³Ð¾Ð¼ÐµÑÐ½ÑÐ¹
ÐÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ·ÑÐºÐ¸
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Ð´Ð¸ÑÑÐ°Ð½ÑÐ¸Ð¾Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
classification
distance learning

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description: The purpose of this work is to investigate the results of remote study of data mining methods (DM). The research set the following goals: 1. Overview of data analysis tasks. 2. Research algorithms for data analysis. 3. Consideration of the stages of data analysis. 4. Review of software tools for the DM. 5. Study of data sets with the results of studying the distance course by means of data mining. Main object of this work research is the application of data mining methods in the field of education. The work uses reports of students passing the distance course Â«Data ManagementÂ» for 7 sessions (runs). A primary analysis of the data was carried out: the stages at which students more often stop their studies were identified, the range of assessments in each of the runs were built. Also, numbers of questions were identified, answering to which students more often gave incorrect answers. The prob-lem of clustering students was solved. The model for predict the score based on the scores for the first eight weekly tests was built. The analysis was conducted by the method of mathematical modeling using the Python programming language. Based on the results of the analysis of the number of course participants, the points scored by students, the solution of clustering and classification problems, recommendations were given for correcting the distance educational course.