Mathematical Model For Defining Academic Interests Of Students In Personalized Education

Abstract

The paper appeals to the problem of individual learning paths or the so-called personalized education, which is an educational trend of the 21st century. Education for a complex society should form the student / specialist's professional and communicative competencies, self-management skills, the ability of self-education, digital-skills, and most importantly, the ability to make choices in conditions of uncertainty. The key subject of the work is «visual perception». The authors use an interdisciplinary approach, relying primarily on the experience of analyzing human perception based on data from Mouse Tracking, Eye Tracking, Touch Tracking. A method is proposed for the targeted selection of information blocks being interesting to the user on the basis of considering the movements of the cursor. The researchers suggest that there is a possibility of a correlation between the student's degree of attention, expressed in the movement / delay of the mouse cursor, with his academic interests. While viewing an educational information resource, the user constantly monitors the activity of the mouse pointer. Thus, considering the movement of the cursor, it is possible to form interest and the choice of the necessary information on the educational resource.