title: ÐÐ½ÑÐµÐ»Ð»ÐµÐºÑÑÐ°Ð»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ Ð² Ð·Ð°Ð´Ð°ÑÐ°Ñ Ð¾ÑÐµÐ½ÐºÐ¸ 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°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Data mining in the tasks of assessment the results of studying the distance course
Creators: name: Ð¡Ð°Ð¶Ð½Ð¾Ð²Ð°, ÐÐ¸ÐºÑÐ¾Ñ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¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÑÐ°Ð»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ
ÐºÐ»Ð°ÑÑÐµÑÐ¸Ð·Ð°ÑÐ¸Ñ
Ð´Ð¸ÑÑÐ°Ð½ÑÐ¸Ð¾Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½Ð¸Ðµ
ÑÐ·ÑÐº R
data mining
data analysis
clustering
distance learning
language R

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: Â«ÐÐ½ÑÐµÐ»Ð»ÐµÐºÑÑÐ°Ð»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ Ð² Ð·Ð°Ð´Ð°ÑÐ°Ñ Ð¾ÑÐµÐ½ÐºÐ¸ 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°Â». ÐÐ±ÑÐµÐºÑÐ¾Ð¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ²Ð»ÑÑÑÑÑ Ð¾ÑÑÑÑÑ Ñ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ°Ð¼Ð¸ Ð¸Ð·ÑÑÐµÐ½Ð¸Ñ ÑÐ»ÑÑÐ°ÑÐµÐ»ÑÐ¼Ð¸ Ð´Ð¸ÑÑÐ°Ð½ÑÐ¸Ð¾Ð½Ð½Ð¾Ð³Ð¾ ÐºÑÑÑÐ° Â«Ð£Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ Ð´Ð°Ð½Ð½ÑÐ¼Ð¸Â» ÑÐ°Ð¹ÑÐ° Â«ÐÑÐºÑÑÑÐ¾Ðµ Ð¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½Ð¸ÐµÂ» (https://openedu.ru/) Ð·Ð° 2019-2020 ÑÑÐµÐ±Ð½ÑÐ¹ Ð³Ð¾Ð´. ÐÑÐµÐ´Ð¼ÐµÑÐ¾Ð¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ²Ð»ÑÑÑÑÑ ÑÐºÑÑÑÑÐµ Ð·Ð°Ð²Ð¸ÑÐ¸Ð¼Ð¾ÑÑÐ¸, Ð¸Ð¼ÐµÑÑÐ¸ÐµÑÑ Ð² Ð¸ÑÑÐ»ÐµÐ´ÑÐµÐ¼ÑÑ Ð½Ð°Ð±Ð¾ÑÐ°Ñ Ð´Ð°Ð½Ð½ÑÑ, Ð²ÑÑÐ²Ð»ÑÐµÐ¼ÑÐµ Ð¼ÐµÑÐ¾Ð´Ð°Ð¼Ð¸ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÑÐ°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð´Ð°Ð½Ð½ÑÑ. Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ â Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÑÐ°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð´Ð°Ð½Ð½ÑÑ Ð² Ð¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½Ð¸Ð¸ Ð´Ð»Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¸ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð½Ð° Ð´Ð¸ÑÑÐ°Ð½ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¼ ÐºÑÑÑÐµ. ÐÐ°Ð´Ð°ÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ ÑÐµÑÐ°Ð»Ð¸ÑÑ Ð² ÑÐ¾Ð´Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: 1. Ð°Ð½Ð°Ð»Ð¸Ð· Ð°ÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¸ ÑÑÐ¿ÐµÐ²Ð°ÐµÐ¼Ð¾ÑÑÐ¸ ÑÐ»ÑÑÐ°ÑÐµÐ»ÐµÐ¹ ÐºÑÑÑÐ°; 2. ÐºÐ»Ð°ÑÑÐµÑÐ¸Ð·Ð°ÑÐ¸Ñ ÑÐ»ÑÑÐ°ÑÐµÐ»ÐµÐ¹ Ð¿ÑÐ¸ ÑÐ°Ð·Ð»Ð¸ÑÐ½Ð¾Ð¼ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²Ðµ ÐºÐ»Ð°ÑÑÐµÑÐ¾Ð²; 3. ÐºÐ»Ð°ÑÑÐµÑÐ¸Ð·Ð°ÑÐ¸Ñ Ð¸ Ð¾ÑÐµÐ½ÐºÐ° ÑÐµÑÑÐ¾Ð²ÑÑ Ð·Ð°Ð´Ð°Ð½Ð¸Ð¹; 4. ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² Ð¿ÑÐ¾Ð²Ð¾Ð´Ð¸Ð¼ÑÑ ÐºÐ»Ð°ÑÑÐµÑÐ¸Ð·Ð°ÑÐ¸Ð¹ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÐ¼Ð¸ Ð¼ÐµÑÐ¾Ð´Ð°Ð¼Ð¸. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ ÑÐ°Ð±Ð¾ÑÑ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÑÑÐµÐ´ÑÑÐ² ÑÐ·ÑÐºÐ° R Ð±ÑÐ»Ð° Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð° Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¸ÑÑÐ¾Ð´Ð½ÑÑ Ð½Ð°Ð±Ð¾ÑÐ¾Ð² Ð´Ð°Ð½Ð½ÑÑ Ð¸ Ð²ÑÑÐ¸ÑÐ»ÐµÐ½Ñ Ð¸Ñ ÑÑÐ°ÑÐ¸ÑÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»Ð¸, Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¾ ÑÐ°Ð·Ð´ÐµÐ»ÐµÐ½Ð¸Ðµ ÑÐ»ÑÑÐ°ÑÐµÐ»ÐµÐ¹ Ð¸ ÑÐµÑÑÐ¾Ð²ÑÑ Ð·Ð°Ð´Ð°Ð½Ð¸Ð¹ ÐºÑÑÑÐ° Ð½Ð° ÑÐ°ÑÐ°ÐºÑÐµÑÐ½ÑÐµ Ð³ÑÑÐ¿Ð¿Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð¼ Ð¸ÐµÑÐ°ÑÑÐ¸ÑÐµÑÐºÐ¾Ð¹ ÐºÐ»Ð°ÑÑÐµÑÐ¸Ð·Ð°ÑÐ¸Ð¸ Ð¸ Ð¼ÐµÑÐ¾Ð´Ð¾Ð¼ k-ÑÑÐµÐ´Ð½Ð¸Ñ, Ð²ÑÑÐ²Ð»ÐµÐ½Ñ Ð¸ ÑÐ°Ð·Ð¾Ð±ÑÐ°Ð½Ñ Ð½Ð°Ð¸Ð±Ð¾Ð»ÐµÐµ ÑÐ»Ð¾Ð¶Ð½ÑÐµ Ð·Ð°Ð´Ð°Ð½Ð¸Ñ, Ð° ÑÐ°ÐºÐ¶Ðµ Ð²ÑÐ´Ð²Ð¸Ð½ÑÑÑ Ð½ÐµÐºÐ¾ÑÐ¾ÑÑÐµ Ð¿ÑÐµÐ´Ð¿Ð¾Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð¾ Ð¿ÑÐ¸ÑÐ¸Ð½Ð°Ñ Ð²Ð¾Ð·Ð½Ð¸ÐºÐ°ÑÑÐ¸Ñ ÑÑÑÐ´Ð½Ð¾ÑÑÐµÐ¹ Ð¿ÑÐ¸ Ð¸Ñ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ð¸.
description: The theme of the final qualification work: "Data mining in the tasks of assess-ment the results of studying the distance course". The study object is the reports about the participantsâ results from the distance course "Data Management" of the website "Open Education" (https://openedu.ru/) for the 2019-2020 academic year. The study subject is the hidden dependencies in the analyzed datasets, revealed by data mining methods. The purpose of the work is the application of data mining methods in education for the analysis and processing of study results on the distance course. Tasks that were solved during the study: 1. Analysis of the participantsâ activity and results on the course; 2. Clustering of participants with a different number of clusters; 3. Clustering and assessment of test tasks; 4. Comparison of the results of the conducted clustering by different methods. As a result of the work the reports were processed and its statistical parameters were calculated, the participants of the course and test tasks were separated into char-acteristic groups by the hierarchical algorithm and the k-means method, the most dif-ficult tasks were identified and analyzed using the programming language R, also some assumptions about the reasons for those difficulties have been made.