Application of large language models in engineering education: A case study of system modeling and simulation courses

Abstract

In modern engineering education, the application of digital technologies has significantly improved teaching effectiveness and student learning experiences. This study explores the innovative use of large language models (LLMs) in system modeling and simulation courses. Specifically, LLMs were applied to assist in MATLAB programming tasks, allowing students to learn MATLAB commands and programming techniques more conveniently. Additionally, interactions with LLMs guided students in acquiring cross-disciplinary knowledge related to modeling and simulation. In the context of system modeling and control problems, LLMs were utilized to aid in mathematical logic analysis and reasoning by providing potential solutions. These measures have demonstrated that students’ understanding and mastery of complex concepts were improved, and their interest and initiative in learning were stimulated. This paper summarizes the experiences of integrating LLMs in teaching, discusses their potential advantages and challenges in engineering education, and highlights the importance of incorporating digital technologies, particularly large language models, to support educational innovation.