%0 Journal Article
%T 新工科背景下AI赋能的“机电一体化系统设计”案例和项目驱动课程教学实践
AI-Enabled Teaching Practice of Case and Project-Driven “Mechatronic System Design” Course in the Context of Emerging Engineering Education
%A 张琰
%A 苏静
%A 张峻霞
%A 杨硕
%A 邱强
%J Creative Education Studies
%P 78-84
%@ 2331-804X
%D 2025
%I Hans Publishing
%R 10.12677/ces.2025.134219
%X 为达成符合新质生产力发展的新工科高素质创新型人才的培养目标，文章阐述了在机电一体化系统设计这一综合性核心专业课程中开展AI赋能的实践内容。开展基于知识图谱和问题图谱的教学内容重构，构建机电系统创新设计智慧教学智能体赋能教与学，采用案例驱动和实践项目驱动的教学方法，AI赋能个性化学习路径的生成和多元过程考核评价，形成适应数字时代的“师生机”交互型教学模式，提升了学生的系统化创新能力，为大规模因材施教、创新性与个性化教学提供了解决方案。
In order to achieve the goal of cultivating high-quality innovative talents in new engineering disciplines that align with the development of new productive forces, this article describes the practical content of AI empowerment in the comprehensive core professional course of Mechatronic System Design. The practice involves reconstructing teaching content based on knowledge graphs and problem graphs, building an intelligent teaching agent for innovative mechatronic system design to empower both teaching and learning, and adopting case-driven and project-driven teaching methods. AI is utilized to enable the generation of personalized learning paths and diverse process-based assessment and evaluation, forming a “teacher-student-machine” interactive teaching model adapted to the digital era. This approach enhances students’ systematic innovation capabilities and provides solutions for large-scale individualized education, as well as innovative and personalized teaching.
%K 人工智能，
%K 机电一体化，
%K 案例项目式教学，
%K 问题图谱，
%K 智慧教学智能体，
%K 个性化学习路径
Artificial Intelligence
%K Mechatronics
%K Case-Project Based Teaching
%K Problem Mapping
%K Smart Teaching Intelligence
%K Personalized Learning Pathways
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=111307