Intellectual analysis of personal preferences of students in the course of training in higher education

Antonenkov E. G., Kryukov Y. A.

This article is devoted to the intellectual analysis of personal preferences of students. Monitoring of progress is the main way to assess the progress of the educational process, as an individual student, and the entire contingent of students. Timely monitoring of student progress is an important element for improving the quality of education. For the successful development of the discipline, the student must not only per-form homework, successfully pass tests and exams, he must also attend classes, especially if he is studying full-time. The education system generates an impressive amount of data that is not analysed in any way other than the basic indicators. However, just a small, at first glance, information can affect the final result, that is, the level of training of highly qualified specialists. Modern intellectual systems are able to predict the student's progress, to point to his predisposition. Preferences of the student can also be identified from other sources, for example, from social networks, where students share their impressions, follow the latest news of science, etc. With the help of intellectual analysis of big data it will be possible to create individual learning trajectories, to adapt the learning process in order to obtain a highly qualified specialist.

Keywords:information system; big data; data mining; data collection