关键词: 测试技术；AI 赋能；DIY 口袋实验；BOPPPS 教学设计；课程思政 AI 微视频；“三 一三”多元化评价模型

Abstract: This paper addresses the issues of abstract theories, insufficient practice, and low learning enthusiasm among students in the core course Testing Technology for the Vehicle Engineering major, and proposes an artificial intelligence (AI)-empowered "learning by doing" teaching reform program. Guided by the concept of outcome-based education (OBE), the reform adopts a blended online offline teaching model, integrates the BOPPPS framework, incorporates DIY pocket experiments and MATLAB simulation, and strengthens the integration of theory and practice as well as the scientific visualization of knowledge. Through AI-assisted programming, it develops students' AI interaction capabilities and cultivates their critical thinking. It infiltrates ideological and political education through AI micro-videos for ideological and political education in courses and virtual teaching assistants with digital humans, enhancing the integration of ideological and political education into students' minds. The assessment adopts the "Three-One-Three" diversified evaluation model, covering pre-class diagnostic evaluation, in-class formative evaluation, and post-class summative evaluation. This study provides practical references for the teaching reform of application-oriented engineering courses.

Key words: testing technology; AI empowerment; DIY pocket experiment; BOPPPS teaching design; course ideological and political AI micro-video; "three-one-three" diversified evaluation model