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Some Results of the Analysis of 3 Years of Teaching of a Massive Open Online Course

  • Sergey A. NesterovEmail author
  • Elena M. Smolina
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 95)

Abstract

The paper describes the results of a massive open online course (MOOC) “Data management” on the Russian platform of Open Education openedu.ru. Some approaches to the analysis of the results of distance learning, including data mining, are discussed. The produced analysis of the results of studying MOOC helps to understand students and their reasons for leaving the course. This could be taken into account during the renewal of the course. If some of the tasks are too difficult for a certain group of students, these tasks could be changed or an additional training material could be given before those. The offered method gives an opportunity to suggest new interesting topics and tasks that could be added to the course in those weeks when students are dropping out en masse. For some groups of students, additional courses for preliminary training could be recommended. The next task which we’ll try to solve is classification: we’ll try to predict if the course will be completed by the student or not based on their results during the first weeks. The results of such prediction may help to keep students in the course.

Keywords

MOOC Higher education E-learning Data mining 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Peter the Great St. Petersburg Polytechnic UniversitySt. PetersburgRussia

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