Visual modeling technologies in the mathematical training of engineers in modern conditions of digital transformation of approaches to creating visual content
Year: 2024
Type: conference-paper
Abstract: The article researches the problem of designing visualization technology for an advanced mathematics course by students of engineering specialities. The main components of visual learning technology are highlighted: the for- mation of essential educational elements, models of images of learning objects, improving the quality of students’ analytical training, and forming their knowledge, abilities, and skills in the use of scientific and methodological apparatus. A feature of the recommended pedagogical technology is that modern digital technologies are used in its implementation. Increasing the level of mathematical education of future engineers is an essential component of their quality training. This involves understanding the essence of basic concepts and statements studied in advanced mathemat- ics, their interpretation in various sciences, and the ability to build mathematical models and apply mathematical methods in solving applied problems. The article considers the main approaches to establishing interdisciplinary connections in teaching advanced mathematics to students of engineering specialities, particularly mechanical engineering. The importance of using problems that illustrate the need to introduce basic mathematical concepts, which gives motivation and stimulates the study of mathematics, is emphasized. To implement the professional orientation of the advanced mathematics course, considerable attention is paid to applied problems, which contributes to the development of research skills of future specialists. It is noted that mathematical modelling is essential for establishing interdisciplinary connections and forming a scientific and holistic perception of the world. The following types of student activities related to visual and mathematical modelling were determined: development of visual mathematical models related to a specific task; selection and – if necessary – an adaptation of the existing model to solve this task; use of interpretation to make recommendations and predict the behaviour of a particular procedure, avoiding explicit work with models.
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: bronze
OpenAlex ID: W7166313772