Multivariate analysis of the students' characteristics influences on academic progress for the personalization of educational environment
Modern universities developing a digital environment rely on a student-centered approach, relevant pedagogical and didactic practices taking into account learners' characteristics and adapting it to the educational process. Personalization of the educational environment should improve the quality of the educational process raising it to a new level. This article presents the results of the multivariate modeling methods to identify standard relations and patterns between academic performance and students' psychometric characteristics. The results of students testing at the Novosibirsk State Technical University (NSTU) determining their cognitive, motivational, and personal characteristics are considered in this paper and information about all past certification tests is provided for the curriculum.