注重优化教学，精选特色案例以提高认同感。一方面，发挥思想政治理论课的课堂教学主阵地作用，结 合各门课程的教学内容，详细阐述工匠精神的精神内涵。例如，在《思想道德与法治》课程职业道德板 块，精选本地或全国知名的大国工匠先进事迹；在《中国近现代史纲要》课程，深刻讲述新中国成立初 期的工业化建设和改革开放以来的超级工程建设等，以相关史实阐述工匠精神对国家发展的重要作用。 另一方面，充分挖掘各门专业课中的思政资源，将工匠精神融入课程思政教育。 开展数智赋能，利用数字工具以增强互动性。一方面，高校应充分利用社交工具和新媒体平台广泛传播 工匠精神。例如，通过学校微信公众号、微博、短视频平台，发布大国工匠的先进事迹，或邀请各专业 领域的能工巧匠、大国工匠，通过线上直播间与学生"面对面"交流，分享其工作经验与心得，以喜闻乐 见的形式拉近与学生的距离。另一方面，利用虚拟仿真（VR）应用技术将工匠精神具象化。通过佩戴 虚拟仿真（VR）设备，学生可身临其境地体验大国工匠的工作场景和严苛的工艺制作流程，不断增强 学生对工匠精神的理解与感悟。 强化第二课堂，营造浓厚氛围以扩大影响力。一方面，开展系列实践活动，营造良好氛围。例如，举 办 ...

Core Insights - The article discusses the transformative impact of artificial intelligence (AI) on higher education, particularly in the realm of ideological and political education in universities, highlighting new opportunities and perspectives brought by digitalization [1] Group 1: Transformation of Educational Models - AI technology will lead to a comprehensive transformation of ideological and political education in universities, shifting from traditional methods to a more intelligent and collaborative educational model [2] - The integration of AI will facilitate a hybrid teaching model that combines online and offline learning, making online micro-classes a significant supplement to traditional ideological education [2] - AI can assist educators by taking over repetitive tasks such as student performance analysis and assignment grading, thereby enhancing teaching efficiency [2] Group 2: Innovation in Teaching Content - AI will enable a dynamic and multi-dimensional presentation of teaching content, moving beyond static textbooks to a more integrated approach [2] - AI systems can automatically gather trending educational materials from the internet, creating an updated case library for ideological education [2] - Virtual reality (VR) technology can simulate various scenarios for students, helping them understand the consequences of different value choices [2] Group 3: Redefining Roles of Educators and Students - The roles of educators and students will undergo significant changes, fostering a collaborative educational community [2] - Educators will transition from mere knowledge transmitters to classroom designers and academic researchers, utilizing AI data to enhance teaching [2] - Students will evolve from passive recipients of knowledge to active learners, using digital tools for independent exploration and collaborative activities [2] Group 4: Reform Pathways for AI Integration - To realize the envisioned transformation, a systematic solution must be developed, focusing on key areas such as technology, policy, and talent [3] - There is a need to establish comprehensive regulations and standards for the application of AI in ideological education, ensuring data security and ethical considerations [3] - Institutions should create a tiered certification system for AI educational platforms, assessing their safety, algorithm transparency, and educational suitability [3] Group 5: Enhancing Value Guidance and Teacher Competence - The application of AI in education must adhere to the principle of serving educational purposes, ensuring that technology supports rather than detracts from the educational experience [4] - A robust review mechanism should be established to filter negative content generated by AI, maintaining ideological safety in educational materials [4] - Developing a composite teacher workforce with both professional and digital literacy is crucial for improving the quality of ideological education [5]