智能化实验教学平台助力高层次人才培养

Intelligent Experimental Teaching Platform Empowers Cultivation of High-Level Talents

摘要: 数字技术持续迭代推动高等教育实验教学开展数字化转型与模式革新。本文针对当前实验教学中存在的资源受限、内容固化、评价滞后等突出问题，探讨以智能化平台助推实验教学改革的路径与实践。平台融合虚拟仿真、远程交互与人工智能技术，构建了“虚实结合、人机协同”的教学新生态：通过虚拟实验室实现个性化预实验与安全演练，依托远程集中控制系统突破高危高成本实验的操作限制，并借助AI辅助系统提供实时个性化指导与过程性评价。实践表明，智能化平台不仅提升了实验教学的效率与安全性，更重构了以学生为中心的学习模式，有效促进了学生科学探究能力、创新思维及复杂问题解决能力的培养。该模式为大规模因材施教、精准对接产业需求、推动教育资源优质共享提供了可行方案，对深化新医科建设、赋能高层次创新人才培养具有重要实践意义。

Abstract: Digital technologies are driving the digital transformation and pedagogical innovation of experimental teaching in higher education. Aiming to address prominent problems in current experimental instruction-such as resource constraints, rigid course content, and delayed evaluation-this paper explores the pathways and practices of reforming experimental teaching through an intelligent platform. The platform integrates virtual simulation, remote interaction, and artificial intelligence technologies to construct a new teaching ecosystem. Virtual laboratories enable personalized pre-experiment preparation and safety drills, remote centralized control systems break the operational limitations of high-risk and high-cost experiments, and AI-assisted systems provide real-time personalized guidance and process-oriented assessment. The practice shows that the intelligent platform not only improves the efficiency and safety of experimental teaching, but also reconstructs a student-centered learning model, effectively fostering students’ scientific inquiry ability, innovative thinking, and complex problem-solving skills. This model offers a feasible solution for large-scale individualized instruction, precise alignment with industrial demands, and high-quality sharing of educational resources. It also carries significant practical implications for deepening the construction of new medical education and empowering the cultivation of high-level innovative talents.