Application of Artificial Intelligence Teaching Assistant to Assist Students in Exploring S-shaped Pipeline Science in the Course of Fundamentals of Mechanical and Electrical System Control

Abstract

This paper focuses on the pain points in the teaching of the course "Fundamentals of Mechanical and Electrical System Control", and explores the application path and effectiveness of artificial intelligence teaching assistants in assisting students in carrying out scientific exploration and practice of S-shaped pipelines. The research shows that the artificial intelligence teaching assistant realizes the accurate matching and instant Q&A of course knowledge points through the construction of knowledge graphs, and generates personalized learning paths with the help of machine learning algorithms, which effectively solves the problem of insufficient guidance in traditional teaching. In the exploration practice of S-shaped pipelines, the dynamic visual display, real-time fault diagnosis feedback and multi-dimensional evaluation system of the intelligent simulation platform have significantly improved students' ability to apply core knowledge such as path planning algorithms and motor control principles. The practical results show that this teaching mode not only reduces the teaching burden of teachers, but also cultivates students' engineering practice literacy and innovative thinking, and provides practical experience for the intelligent teaching reform of engineering courses.