基于AI技术的机械制图教学创新与探索

Innovation and Exploration of AI-Based Mechanical Drawing Instruction

摘要: 随着人工智能技术深度融入教育领域，传统机械制图教学迎来新的机遇。本研究聚焦“AI技术 + 雨课堂”融合教学模式，针对传统大班教学个性化指导不足、手段单一、评价滞后等问题，构建了覆盖课前、课中、课后的智慧教学框架。课前利用AI生成个性化学习路径并推送预习资源；课中借助AI辅助建模、实时测验和零件图“找茬”等环节增强互动与理解；课后依据学习数据分析，为学生定制复习内容与辅导策略。以“零件图”教学为例，阐述了融合模式的具体实施策略与成效。实践表明，该模式增强了教学的针对性、互动性与实效性，有效促进了学生识图能力、自主学习能力和批判性思维的发展，为机械制图教育的智能化升级提供了参考。

Abstract: As artificial intelligence technology becomes deeply integrated into the education sector, traditional mechanical drafting instruction is encountering new opportunities. This study focuses on the “AI Technology + Rain Classroom” blended teaching model. Addressing issues such as insufficient personalized guidance, limited teaching methods, and delayed assessment in traditional large-class settings, it constructs a smart teaching framework covering pre-class, in-class, and post-class activities. Pre-class: AI generates personalized learning paths and pushes preparatory resources. During class: AI-assisted modeling, real-time quizzes, and “spot-the-difference” activities with part drawings enhance interaction and comprehension. Post-class: Learning data analysis tailors review content and tutoring strategies for students. Using “part drawing” instruction as an example, this study details the implementation strategies and outcomes of the integrated model. Practice demonstrates that this model enhances teaching precision, interactivity, and effectiveness, significantly promoting students’ drawing comprehension, self-directed learning abilities, and critical thinking development. It provides valuable insights for the intelligent transformation of mechanical drawing education.