人工智能在机能学实验教学应用图景的构设与挑战  

Application landscape of artificial intelligence in the teaching of functional experimental science:setup and challenges

作　　者：吴昊桢 崔敏 袁艺标[1] WU Haozhen;CUI Min;YUAN Yibiao(National Virtual Simulation Demonstration Center for Experimental Basic Medical Education,Nanjing Medical University,Nanjing 211166,China)

机构地区：[1]南京医科大学基础医学国家级虚拟仿真实验教学中心,南京211166

出　　处：《基础医学教育》2025年第1期86-90,共5页Basic Medical Education

基　　金：江苏省高校哲学社会科学研究一般基金资助项目(2024SJYB0230)。

摘　　要：随着人工智能技术的发展,其在机能学实验教学的应用已不再触不可及,运用人工智能进行实验教学也将成为未来教育的发展趋势。人工智能可进行数据驱动的学情分析,提供个性化学习与精准评估,实现智能化与虚拟化教学、跨学科合作与终身学习支持。这些特点使得其在机能学实验教学中的融入展现出显著优势。然而,智能化教学仍面临技术与教学融合、师与生角色转变以及人文与伦理安全的三重挑战。人工智能技术在实验教学中的应用,究竟会带来积极的发展还是潜在的风险,决策权依然掌握在人的手中。教师数字化教学能力的培养、教师与人工智能系统的协同、智能时代的新伦理与新政策的约束,都为创造良好的智能教学带来可能。With the development of artificial intelligence technology,AI-assisted experimental teaching has become a trend in education and its application in functional experimental science is no longer out of reach.AI can be used to conduct data-driven analysis of students,provide personalized learning and precise assessment,realize intelligent teaching,virtual teaching,and interdisciplinary collaboration,and support lifelong learning.All these features are advantageous to the experimental teaching of functional science.However,intelligent teaching still faces three major challenges:integration of technology and teaching,transformation of teacher and student roles,and issues related to humanity and ethical safety.Although it is not clear whether the application of AI technology in experimental teaching will bring positive development or potential risks,the cultivation of teachers’digital literacy,collaboration between teachers and AI system,and establishment of new ethics and policies for the intelligent era all contribute to the possibility of creating a favorable environment for smart teaching.

关 键 词：机能实验学 实验教学 教育改革 人工智能 智能辅助教学 

分 类 号：R3[医药卫生—基础医学]