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Regular version of the site

Educational Data Mining

Student: Kotov Egor

Supervisor: Tamara Voznesenskaya

Faculty: Faculty of Computer Science

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2021

Every day the popularity of educational analytics increases. New tasks regularly appear in this area, such as drawing up an optimal training program, planning the development of the faculty, the correct selection of students, for example, by choosing olympiads that give benefits for admission. In this article, we will focus in detail on creating a telegram bot and an algorithm embedded in it that optimizes the schedule of deadlines for all forms of student knowledge control, which will improve the student learning process. We will consider an implemented product with convenient and wide functionality, accessible for all students and teachers.

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