Author’s name:
Dina V. Volodina, Yulia S. Yurieva – Siberian State Transport University, Novosibirsk, Russia
Abstract:
The study examines the possibilities of using neural networks as an auxiliary tool in developing the course syllabus for the discipline “Foreign Language for Professional Purposes” at an industry-specific university. The purpose of this study is to consider the specific features of developing a course syllabus at an industry-specific university using neural networks, with the discipline “Foreign Language for Professional Purposes” as an example. The object of the study is the educational process at an industry-specific university. The subject of the study is the course syllabus for the discipline “Foreign Language for Professional Purposes.” The methodological basis includes systemic and competency-based approaches in education. An analysis of methodological and pedagogical literature, regulatory documentation, and educational and methodological materials on the discipline made it possible to: present a definition of the educational program, its characteristics, and the regulatory documents and methods necessary for its design; examine the definition of the course syllabus, its structural components, and the algorithm for its development; and identify the regulatory framework, including local regulatory documents used in developing course syllabi at the Siberian State Transport University (SSTU).
Modern information technologies, namely neural networks that underpin many auxiliary educational resources, were examined, although the question of their application remains insufficiently studied in the pedagogical community. Thus, within the framework of this research, the types of neural network applications in general, and as a tool for developing course syllabi in particular, were described. Practical work conducted with the neural network at https://web.telegram.org/k/#@gigachat_bot to formulate prompts in the context of the stated research goal, along with analysis of the results obtained, allowed the authors to draw conclusions about the effectiveness of this tool. This was achieved through a comparative analysis of selected structural components of the course syllabus for “Foreign Language for Professional Purposes” in the field of study 38.03.01 “Accounting, Analysis, and Audit” implemented at SSTU, against a version of the course syllabus generated by the neural network. The comparison focused on formulating the learning objectives of the academic discipline, defining indicators of universal competence (UC-4), and determining the thematic content of the educational module. The prospects of using neural networks in designing course syllabi at an industry-specific higher education institution are proposed for discussion.
| Section | CROSS-CULTURAL COMMUNICATION. TOPICAL ISSUE IN EDUCATION |
| DOI: | 10.47388/2072-3490/lunn2026-73-1-175-189 |
| Downloads | 139 |
| Key words | educational program; course syllabus; foreign language; neural networks; industry-specific higher education institution; universal competence; competence indicators; learning content |