Keyword: «task of "contextual" content optimization»

A modern highly qualified engineer must have an up-to-date set of digital competences that are essential for a successful professional career in the digital era. One of the characteristic features of digitization is the integration of sciences, which is especially evident in the use of digital technologies. In this regard, it is necessary to develop the digital competences of students, using the didactic potential of intersubject integration carried out in the process of information and mathematical training of engineers. The purpose of the work is to study the implementation of information and mathematical training of students from technical universities under the conditions of the globalization of Industry 4.0. The article analyzes the contextual competence-oriented and CDIO approaches in organizing the educational process at a technical university. The novelty of this research: the scientific and methodological apparatus for enhancing the student's activity in solving practice-oriented problems of interdisciplinary content has been expanded by including the optimizing tasks of "contextual" content in the learning process. The authors consider the activity of solving the optimizing tasks of "contextual" content as one of the conditions for the development of digital skills for a student of a technical university. The conducted theoretical analysis of research works on the topic made it possible to highlight the didactic opportunities of the optimizing tasks of "contextual" content and to highlight the digital technologies used to solve them. The article provides a methodology for the development of digital competences of future engineers worked out by the authors through a system of optimization tasks of "contextual" content. This study initiates possible prospects for further research on the development of digital competences for future engineers. The variant of the typology of the optimizing tasks of "contextual" content presented by the authors should be recommended to a wide range of teaching staff of information and mathematical departments of technical universities for using in scientific, methodological and practical work.