Development of Electronic Portfolio Technology Based on Microservice Architecture and Neural Network Technology

The article is devoted to the development of technologies for creating a portfolio based on microservice architecture and the forecast of prospects for using neural network technologies to expand the capabilities of the portfolio. Portfolio development represents an interaction of various gradually improved subsystems, such as: a competition subsystem, a digital student profile, electronic statements, student ratings, and a graduate employment service. One of the important areas of the complex portfolio system development is the use of cognitive code in creating a student’s cognitive model, which reflects cognitive abilities, painful and socially conditioned features, the ability to reflect, as well as the level of personal experience and professional competence. Cognitive technologies are aimed at activating students in the educational process and stimulate an increase in the effectiveness of learning, since the teacher with this approach is more focused on the student, rather than on a group of students. The paper presents a new model of the microservice structure of the information system, which develops the traditional model widely used in the Russian education system and provides new opportunities, tools for system analysis and assessment of the achievements of personal and professional results. Thanks to the use of artificial intelligence technologies, it becomes possible to create educational trajectories for students, analyze large volumes of data in educational activities quickly and flexibly, based on consistent and effective adoption of various management decisions.