Kh.A. Khudoyberdiev , R.S. Yazdonzoda

Annotation:

The article discusses methods, algorithms and an automated information system for predicting and assessing the level of readiness of university graduates for professional fields based on professional competency matrices. The developed system consists of a set of software modules and analytical algorithms designed to automate monitoring of the quality of education and predicting the successful employment of university graduates. The information system is designed for use in the Tajik Technical university by named academician M.S.Osimi information ecosystem, which in the research project has been analyzed datasets from three technical areas: energy, transport and construction. An analysis of the logical structure of the information system reveals the following key advantages: digitalization and mathematical analysis of the knowledge of university graduates to assess their acquisition of professional competencies; the creation of a dynamic "digital portrait" of the graduate based on an analysis of professional abilities and digital parameters to describe the graduate's knowledge and skills in the labor market; the creation of an automatic assessment of learning outcomes and the determination of target areas of graduate activity in descending percentage order, which enables rapid forecasting, evaluation, and the provision of recommendations.

Keywords: mathematical model, assessing methods, predictive algorithms, competency matrix, professional areas, data bases, web programming, information system, university ecosystem.