摘要
生成式人工智能深刻影响了学生的学习方式,从而为高等教育高质量发展提供新的生长点。面向校内本科生的随机问卷结果表明,开展人工智能赋能的物理实验教学改革具有较强的必要性与紧迫性。针对这一目标,以近代物理实验课程和ChatGPT4大语言模型为例,结合实验教学活动的部分具体场景,从教师、学生、实验设备与实验环境等多个维度系统性分析生成式人工智能应用于传统物理实验教学所面临的机遇与挑战,并对人工智能融入实验教学的新型教学形态给出可行的应对策略。
The emergence of generative artificial intelligence in recent years has profoundly affected students'learning styles,thus,provides a new research perspective for the high-quality development of higher education.This paper focuses on the course of modern physics experiments and the ChatGPT4 large language model.We combine with some specific cases in experimental teaching activities,to analyze in detail the opportunities and challenges faced by the application of generative artificial intelligence in traditional physics experimental teaching,and provide feasible strategies for this new teaching pattern.
作者
潘崇佩
廖康启
孔勇发
PAN Chongpei;LIAO Kangqi;KONG Yongfa(School of Physics,Nankai University,Tianjin 300071,China;Experimental National Demonstration Center for Fundamental Physics Education,Nankai University,Tianjin 300071,China)
出处
《实验室研究与探索》
CAS
北大核心
2024年第12期117-122,共6页
Research and Exploration In Laboratory
基金
教育部产学合作协同育人项目(202102153038)
南开大学本科教育教学改革项目(NKJG2022019)
南开大学自制实验教学仪器项目(23NKZZYQ02)。
关键词
生成式人工智能
近代物理实验
建构主义
generative artificial intelligence(GAI)
modern physics experiment
constructivism
