Personal style of cognition (cognitive traction) and the level of involvement of the student (engagement) in the assessment and development of digital competencies of the teacher

• Main Authors: Chorosova O.M., Solomonova G.S., Tulasynova N.Yu., Alekseeva A.Z., Ivanov M.V.
• Format: Article
• Language: English
• Published: EDP Sciences 2021-01-01
• Series: E3S Web of Conferences
• Online Access: https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/67/e3sconf_sdgg2021_05026.pdf

The article presents the results of the intermediate stage of the research conducted within the framework of the project of the Russian Foundation for Basic Research No. 19-29-14030 ”Cognitive models and algorithms for the formation of digital competence of a teacher in the conditions of digitalization of general education”. The project is aimed at improving the effectiveness of the teacher’s activities in the context of digitalization of education by developing the digital competence of the teacher through the introduction of cognitive models and algorithms for evaluating the digital competencies of teachers and making decisions on the design or adjustment of professional development programs. The current state of the problem of professional and personal development of teachers in the context of digitalization of education, their digital competence, approaches to the identification of digital competencies and their assessment is studied, conceptual approaches to the identification of digital competencies of teachers are defined and the main indicators of their assessment are developed. At the second stage (2021), a structural model of the organization of professional development of teachers is being developed, taking into account the requirements of digitalization of general education on the basis of a competence-based approach. There is also the task of developing a cognitive model of the advanced training program (ATP), which allows us to take into account the strength of the links between the studied modules and digital competencies based on the application of an algorithm for assessing the significance of disciplines. The results of this work are proposed for discussion in this article.