人工智能智慧课程赋能制药工程人才培养的教学改革实践——以《制药设备与车间设计》课程为例

Practice of Teaching Reform in Empowering Pharmaceutical Engineering Talent Cultivation with Artificial Intelligence-Enabled Smart Courses—A Case Study of “Pharmaceutical Equipment and Workshop Design”

摘要: 人工智能与教学的结合，正在改变课程建设和教学方式。《制药设备与车间设计》是辽宁大学制药工程专业的省级一流本科课程。2025年以来，课程围绕资源数字化、知识图谱化、教学智能化、评价精准化推进人工智能智慧课程建设：建立个性化知识库和“知识–问题–能力–素养”多模型图谱，部署虚拟数字人助教、智能学伴、数字驾驶中心等工具，搭建线上线下结合的多模态教学环境，开展PBL项目式深度混合式教学。2026年春季学期首轮试运行覆盖2023级制药工程3个教学班99名学生。运行数据显示，学生参与度和人工智能使用率明显上升，教学评价逐步从结果导向转向过程导向，教学模式从“师–生”二元向“师–机–生”三元协同演进。针对数智融合深度不足、数据精度有待提高、学生过度依赖智能工具等问题，下一步将深化大模型应用、强化数据治理、提升师生数字素养、扩大成果辐射，供同类课程参考。

Abstract: Artificial intelligence is changing how university courses are built and taught. This paper reports the construction of an artificial intelligence-enabled smart course for Pharmaceutical Equipment and Workshop Design, a provincial first-class undergraduate course at Liaoning University. The course was rebuilt around four goals: digitized resources, graphed knowledge, intelligent teaching, and precise evaluation. The team built a personalized knowledge base and a set of knowledge, problem, ability, and literacy graphs, deployed tools such as a virtual digital human teaching assistant, an intelligent learning companion, and a digital driving center, combined online and offline learning into a multimodal teaching environment, and ran PBL project-based blended teaching. The first trial in the spring semester of 2026 covered 99 students in three classes of the 2023 cohort. The data show that student participation and artificial intelligence use rose clearly, evaluation moved from result-oriented to process-oriented, and the teaching model shifted from a teacher-student pair to a teacher - artificial intelligence - student triad. Remaining problems include shallow integration of data and intelligence, limited data precision, and students’ over-reliance on AI tools. Next steps include deeper use of large language models, stronger data governance, better digital literacy for teachers and students, and wider dissemination of the results.