职业技术教育2025，Vol.46Issue(34)：75-80,6.
人工智能赋能工程教育课程改革:逻辑缘起、维度重构与实践路径
Artificial Intelligence Empowering Curriculum Reform in Engineering Education:Logical Origins,Dimensional Reconstruction and Practical Pathways
摘要
Abstract
The rapid development of artificial intelligence is profoundly reshaping the generation mechanism of engineering knowledge,the organization modes of engineering practice,and the structural logic of engineering competencies.The emergence of AI-empowered curriculum reform is not merely a simple extension of external technological conditions;rather,it constitutes a systemic logical outcome driven by national strategic demands,the inherent laws of technological evolution,the internal predicaments of engineering education,and the paradigm shift towards"Emerging Engineering Education".Curriculum reform in engineering education for the new era exhibits a trend of multi-dimensional reconstruction:curriculum objectives are shifting from job-specific suitability to life-long development orientation;curriculum contents is evolving from being closed and stable to dynamic and cutting-edge;practical teaching is moving from limited real-world scenarios to the integration of virtual and real environments;and curriculum evaluation is changing from lagging outcome-based assessment to real-time process-oriented analysis.To enhance the overall quality of independent cultivation of engineering talents,AI-empowered curriculum reform trends include:concretizing objectives to establish a curriculum system aimed at cultivating outstanding engineers;intelligently updating contents to construct a frontier and systematic knowledge structure;integrating methods to form diverse and precise intelligent learning support mechanisms;contextualizing practice to build simulation platforms for complex engineering problems;datafying evaluation to enable comprehensive analysis of learning behaviors throughout the entire process.关键词
人工智能/工程教育/课程改革/人才培养/卓越工程师Key words
artificial intelligence/engineering education/curriculum reform/talent cultivation/outstanding engineers分类
社会科学引用本文复制引用
杨天野..人工智能赋能工程教育课程改革:逻辑缘起、维度重构与实践路径[J].职业技术教育,2025,46(34):75-80,6.基金项目
2023年度吉林省教育科学规划重点课题"学科交叉融合背景下机械工程类专业'研究+创新'复合型人才培养模式研究与实践——以吉林大学为例"(ZD23047),主持人:杨天野 （ZD23047）
