Прогнозирование результатов сдачи сессии на основе анализа текущей успеваемости студентов с использованием данных информационной управляющей системы «Электронный университет»

Abstract

One of the actual tasks of the Dean’s office is regular monitoring and analysis of academic performance during the semester in order to predict the results of the session and identify lagging students, work with whom should be given priority. A large contingent of students on the course, which can be several hundred people, requires both direct communication with participants of the educational process and the use of special electronic information systems to organize effective monitoring of academic performance. The article provides brief information about the display of current academic performance in the information management system “Electronic University” (IMS “EU”) of Bauman Moscow State Technical University. The main methods of determining the level of a student’s current academic performance using the data of the IMS “EU” are presented. Comparison and analysis of the data of the IMS “EU” on the current academic performance of students of the “Special Mechanical Engineering” Faculty of Bauman Moscow State Technical University in November 2022 was carried out in comparison with the results of the winter session of the 2022–2023 academic year for the same students. Based on the analysis, a criterion for identifying lagging students is proposed based on the results of the analysis of current academic performance using the IMS “EU” and recommendations are given on ways to improve the effectiveness of such an analysis.