Volume 3,Issue 9
Research on the Teaching Practice of Mechanical Drawing Courses Based on AI Technology
With the rise of AI technology in recent years, its powerful functions have brought numerous conveniences to work across various fields. Driving AI-supported initiatives to deepen curriculum and teaching reforms, and exploring new teaching models and future learning approaches have become key priorities in higher education reform. Mechanical Drawing, as a core foundational course for mechanical engineering majors, is characterized by strong abstractness and practicality. The traditional teaching model is mainly teacher-centered, making it difficult for students to establish effective connections between spatial concepts and drawing expressions. Currently, students face challenges such as reduced class hours and limited practical training resources, which further affect learning outcomes. Therefore, conducting teaching practice research on mechanical drawing courses based on AI technology will effectively address the above dilemmas, facilitate teaching, enhance learning interest, and improve learning efficiency. This research is expected to be promoted and applied in more engineering education courses, providing guiding significance for further advancing the in-depth transformation and systematic improvement of higher education toward intelligence, adaptability, and personalization.
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