AI-Enabled Reform in Engineering Drawing Course Teaching: Opportunities, Challenges, and Pathways for Vocational Education

Abstract

The rapid advancement of Artificial Intelligence (AI) offers significant opportunities for the reform of engineering drawing courses in vocational education. Traditional teaching methods often struggle to meet the diverse learning needs of students, and the integration of AI technologies can potentially enhance both teaching effectiveness and student engagement. This paper explores the application of AI in the teaching of engineering drawing, focusing on the transformation of teaching goals, content, methods, and assessment. By utilizing AI-powered tools such as intelligent tutoring systems, adaptive learning platforms, and augmented reality, the teaching process can be personalized and interactive, catering to individual learning paces and needs. A case study-based approach is used to analyze the practical implementation of AI in engineering drawing courses, highlighting the benefits and challenges encountered in real-world classrooms. The findings suggest that AI-enabled teaching reforms can improve students' learning outcomes, foster greater engagement, and optimize the efficiency of both students and instructors. However, challenges such as technological readiness and teacher training must be addressed to ensure the successful adoption of AI in vocational education. This paper contributes to the growing body of research on AI in education and provides practical insights for educators and policymakers in the field.