Developing a system for managing student’s professional development based on his digital footprint

Most existing information systems in universities lack the possibility to analyze a student's work in detail. Such analysis should include student's report texts, implemented projects and a program code that make up student digital footprint. The authors have developed an intelligent system that solves these problems. The system is represented by a set of modules for monitoring, managing and predicting the professional development of a student as an IT specialist using Big Data and Data mining technologies. The development takes into account the features of the current process: for example, several information systems and file storages in the university, various roles of internal and external users, users' needs and problems that they face in the process of work and learning. One of the key elements of the system is a multi-level data storage, which consists of two components: a relational database and a NoSQL storage. The system is focused not only on the academic performance analysis, but also on text documents produced both by the students themselves and documents regulating their educational trajectory. The developed system allows expanding the ability to make decisions in the educational process management at every level (student, teacher, university administration) through applying modern data mining methods and technologies to the less studied part of the student's digital footprint. In addition, the developed system gives new opportunities for interaction between a university and employers and applicants. The system was tested using the data of students of the Institute of Mathematics and Com-puter Science of the Tyumen State University.