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人工智能赋能的机械设计课程改革与实践研究OA

中文摘要英文摘要

随着工业4.0时代的到来,机械设计领域面临着技术革新和产业转型的双重挑战.传统的机械设计课程难以满足现代行业对跨学科创新能力和技术技能的需求.为应对这一局限性,该研究以人工智能技术为切入点,探索课程优化的路径与实践.首先,分析国内外机械设计专业的能力标准及现状瓶颈;其次,剖析人工智能在课程内容动态更新、教学方式优化和实践创新方面的优势;最后,通过国外院校案例展示人工智能赋能课程的具体成效,并提出面向未来的课程改革策略和实施建议.研究结果表明,人工智能技术可显著提升机械设计课程的前沿性和实用性,为培养具备创新能力与实践技能的高素质机械设计人才提供新方向.

With the advent of the Industry 4.0 era,the field of mechanical design faces dual challenges of technological innovation and industrial transformation.Traditional course Mechanical Design struggles to meet modern industry demands for interdisciplinary innovation and technical proficiency.This study explores curriculum optimization pathways and practice with artificial intelligence(AI)as the focal point.Firstly,the paper analyzes the competency standards and challenges in mechanical design education domestically and internationally.Secondly,the study examines the advantages of AI in dynamically updating curriculum content,optimizing teaching methods,and enhancing practical training.Finally,the study presents case studies from international institutions to demonstrate the practical outcomes of AI-powered curricula and proposes strategies for future reform and implementation.The findings indicate that AI technologies significantly improve the relevance and applicability of Mechanical Design education,offering new directions for cultivating highly skilled and innovative mechanical design professionals.

何帅;王金瑞;卢涛;刘坤华

青岛理工大学机械与汽车工程学院,山东青岛 266520山东科技大学机械电子工程学院,山东青岛 266500青岛理工大学机械与汽车工程学院,山东青岛 266520青岛理工大学机械与汽车工程学院,山东青岛 266520

社会科学

工业4.0机械设计人工智能创新实践工程教育

Industry 4.0Mechanical DesignArtificial Intelligenceinnovative practicesengineering education

《高教学刊》 2026 (13)

18-21,4

山东省高等学校青年创新团队项目"复杂场景自动驾驶车辆协同感知与规划"(2023KJ120)

10.19980/j.CN23-1593/G4.2026.13.004

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