The Transformation of Teaching and Learning Paradigms in Engineering Courses Driven by AI

随着科技的发展，AI赋能教育领域，它通过变革教学模式实现线上线下混合式教学、创新教学内容引入前沿案例与虚拟仿真实验、转换教学角色使教师成为引导者和学生成为主动探索者。本论文聚焦于AI驱动下工科专业课程教与学范式的转变。阐述了传统工科专业教与学以课堂讲授为主、学生被动接收知识、教学资源单一和评价方式传统等问题。在此背景下，AI驱动工科专业课程教与学范式转变，具体体现为重塑教学模式提供个性化方案并创建虚拟实验室以及实现远程协作学习、丰富教学资源整合知识图谱且生成直观内容并筛选网络数据、优化评价方式综合学习过程数据且智能批改文本并评价实践能力、促进教学角色转换让教师成为设计者与引导者和学生成为主动学习者与创造者，培养高素质工科人才。With the development of technology, AI has empowered the field of education. It has transformed teaching models to enable online-offline hybrid teaching, innovated teaching content by introducing cutting-edge cases and virtual simulation experiments, and shifted teaching roles, making teachers into guides and students into active explorers. This paper focuses on the transformation of teaching and learning paradigms in engineering courses driven by AI. It elaborates on the problems in traditional engineering teaching and learning, including the dominance of classroom lectures, students passively receiving knowledge, limited teaching resources, and traditional evaluation methods. Against this backdrop, AI is driving the transformation of teaching and learning paradigms in engineering courses. Specifically, it reshapes the teaching model by providing personalized learning plans, creating virtual laboratories, and facilitating remote collaborative learning. It enriches teaching resources by integrating knowledge graphs, generating intuitive content, and screening online data. It optimizes the evaluation method by comprehensively analyzing learning process data, intelligently grading written work, and assessing practical skills. Moreover, it promotes the transformation of teaching roles, with teachers becoming designers and guides and students becoming active learners and creators, thus cultivating high-quality engineering talents.