AI赋能虚实递进的生物医药新工科实习教学体系的构建

Towards an AI-powered and virtually-physically integrated teaching model for internships in biomedicine under emerging engineering education

摘要:

为应对生物医药新工科实习教学中存在的设备昂贵、场地受限、高风险等挑战，本研究构建了“AI赋能、虚实递进”的实习教学体系。该体系遵循“由虚到实、逐层递进”的教学逻辑，以虚拟仿真项目为起点，帮助学生建立工艺流程的完整认知；继而引入AI赋能过程设计与决策训练，让学生通过调整参数、优化策略，完成从菌种构建到成品产出的全流程模拟，培养其数据驱动的工艺开发能力；随后，学生进入校内实训基地进行真料实操，实现从虚拟到实体的安全、平滑过渡，提高操作技能；最终，通过多元化企业实地实习，使学生在真实产业场景中整合知识、能力与职业素养。该体系成功创建了一个“高仿真、低风险、可重复、全覆盖”的实习教学环境，有效弥合了高校理论教学与产业实践需求之间的鸿沟，提升了学生的工程创新能力与实践应用能力。

Abstract:

To address the challenges such as expensive equipment, limited space, and high risks in the teaching of internships in biomedicine under the emerging engineering education paradigm, this study established a AI-empowered and virtually-physically integrated teaching model. This model follows the teaching logic of progressing from virtual to physical operations step-by-step. It starts with virtual simulation projects to help students build a comprehensive understanding of process workflows. Subsequently, AI-empowered process design and decision-making training are introduced, allowing students to simulate the entire production process from strain construction to final product output by adjusting parameters and optimizing strategies, thereby cultivating their data-driven process development capabilities. Following this, students proceed to hands-on training with real materials in on-campus practical training centers, achieving a safe and smooth transition from virtual to physical operations and enhancing their practical skills. Finally, through diversified field internships in enterprises, students integrate knowledge, skills, and professional literacy in real industrial settings. This model successfully creates a high-fidelity, low-risk, repeatable, and comprehensive teaching environment for internships, effectively bridges the gap between theoretical education and industrial requirements, and significantly enhances students’ abilities of engineering innovation and practical application.