At TISBY, artificial intelligence helps students choose the best graduation work theme

2024: Creation of a system for selecting final qualification work

artificial intelligence The University of Management Laboratory "" TISBY has developed a system that helps students choose the most appropriate graduation qualification work topic. In 20 and a half years, the university has collected a large-scale database about the education of more than 40,000 students, including about information their academic performance, coursework, scientific achievements and the results of diploma defenses. This large array of information formed the basis of an intelligent system based on technology. This was Yandex DataSphere Yandex announced on November 2, 2024.

𝓲

Yandex

Our system analyzes a huge amount of data: from basic indicators of academic performance, such as exams and tests, to more complex parameters - a portfolio of achievements, topics of coursework and results of VKR protections. We take into account even factors such as regional specifics and career trajectories of our graduates. This allows us not only to offer topics of the WCR, but to form really relevant areas of research that will be useful both for the professional development of the student and for solving practical problems of the region, - said Olga Fedorova, Vice-Rector for Digital Transformation, Candidate of Pedagogical Sciences, Associate Professor, Head of the Department of Information Technologies of the University of Management "TISBI."

The work of the system is based on the analysis of many parameters: it studies not only the academic performance of the student, but also his scientific interests expressed in coursework, professional achievements reflected in the portfolio, and even personal wishes for future work. For example, if a student is interested in an in-depth analysis of a particular area of their specialization, the system will suggest topics that require a serious research approach.

In practice, this looks like this: having received a student's request to select a topic, the system analyzes the successful work of past years in a similar area, takes into account current trends in the selected specialty and forms a list of personalized recommendations. Thus, for a student interested in social policy, the system can offer both narrowly focused topics such as analyzing the effectiveness of specific social programs, and broader studies, for example, comparative analysis of social security systems in different countries.

In contrast to the traditional approach to selecting the topic of WRC, when a student is limited to the list of topics proposed by the department, artificial intelligence generates personalized recommendations that take into account each student's individual learning trajectory. This makes graduation work more relevant and practically significant.

The system has already been tested at the Faculty of Information Technology, and in the near future it is planned to scale it to other faculties of the university. The launch into commercial operation is scheduled for the 2024/25 academic year, by which time the developers plan to add functions for automatically generating a description of the task and selecting relevant scientific sources.