SELECTING THE CONTENT OF FOREIGN LANGUAGE TEACHING IN ENGINEERING EDUCATION

Abstract

The article analyzes existing approaches to selecting the content of teaching foreign languages for engineering education. The paper highlights the potential problems and opportunities for improving the process of creating specialized engineering content, which is the basis for the foreign language professional communicative competence. The authors specify the principles for the content selecting, which makes it possible to determine the sequence of steps in the algorithm for selecting specialized foreign language content. Based on the identified principles, the authors proposed an algorithm for selecting training content using the example of the subject area “Information technology and software engineering”. Artificial intelligence tools are used as modern research methods. The paper gives a detailed description of prompts for neural networks for visually representing the possibilities of such tools in selecting foreign language content. The described process is illustrated with examples of English language teaching content for students in the field of information technology. The proposed principles and algorithm for selecting training content can be extrapolated to other foreign languages taught and studied in technical universities.