A digital footprint as a mechanism of individualizing a student’s educational trajectory (on the case of the "Digital technologies of self-education" course)

Abstract

Introduction. Digital transformation of the education sector leads to accumulation of a significant amount of digital information about the educational process. Analysis of a student's digital footprint can become one of the means of individualizing his educational trajectory. To personalize the progress of mastering an educational program, it is optimal to use the resources available in the toolbox of the educational institution. The purpose of the paper is to describe a model of an electronic training course based on LMS Moodle, which allows you to build a trajectory for studying a subject based on a student's digital footprint, as well as to describe the results of this course testing. Materials and methods. Modeling of the e-course was carried out on the basis of the analysis of the basic principles of individualization of the educational trajectory, described in scientific and methodological works. Testing of the course "Digital Technologies of Self-Education" was carried out on the basis of the Samara State Transport University. Nonparametric methods of mathematical statistics were used to process the obtained results. To compare the control and experimental groups, the Mann-Whitney. Results. The study revealed efficiency of including the mechanisms of individualization of the educational trajectory into the educational process. 86% of students completed their studies on time with a positive result. The number of students who continued to complete the course assignments after receiving the minimum points was 27%. The research confirmed the quality of knowledge and skills obtained by students in the course of mastering an electronic training course with the support of an automated mechanism for forming and assessing students' competencies. The study proved the positive impact of the course "Digital Technologies of Self-Education", developed on the basis of the algorithmization of the process of achieving the goal, on mastering related subjects (p < 0,01). Practical significance. The proposed model for developing a training course based on LMS Moodle using standard system tools is universal and allows you to individualize the trajectory of a student's mastering of an academic discipline by varying educational tasks depending on the level of individual skills. Conclusion. Algorithmization and automation of the process of collecting and processing educational results of students frees a teacher from routine tasks, solves the problem of strengthening thematic and interdisciplinary connections in the learning process, and also enables to make the learning process more flexible and personalized without losing the quality of competencies formation. Students' understanding of their educational route enhances their motivation for learning, allows them to realize their individual needs in developing professional skills.