Mivar’s Approach to Detailed Description of Knowledge for the Academic Subject “Rocket and Space Manufacturing Technologies”

Abstract

AbstractThe amount of knowledge in various industries is constantly growing and employers increase and update the requirements for a university graduate. But the restrictions on the time of training of students and the amount of the studied material remain. This leads to a contradiction between the existing student learning process and the requirements of employers. Consequently, the learning process must constantly change, which requires the development of educational programs and academic disciplines. In universities such as the Bauman Moscow State Technical University (BMSTU), which has about 30,000 students in 650 educational programs, it is impossible to support educational programs and academic disciplines without the use of automation tools. Therefore, to solve the problem of automated planning of the educational process, the article proposes a method for describing academic subjects in the formalism of mivar networks was proposed. Within the framework of this methodology, each academic subject is divided into more detailed modules of knowledge “didactic units”, which allows you to create a learning process detailed plan within the academic subject and throughout the educational program. The result of the application of this methodology is the possibility of automatic formation of an optimal curriculum and organizing an assessment of knowledge control reliability. The methodology presented in the article is used in the project to formalize educational programs to improve the University’s management at BMSTU.KeywordsMivarMivar networksLogical artificial intelligenceMinderExpert systemsEducational programsMechanical engineeringCurriculumIndividual educational trajectories