摘要
大学物理实验课程是国内大多数理工科高校均开设的公共基础必修课之一,具有选课学生数量规模大、专业范围广等特点,使得在教学过程中产生了大量的教学情况数据。基于大数据技术,以西南交通大学代表性的3个理科学院和3个代表性的工科学院本科生课程学习数据为例,从学生选课、考试成绩分析等方面进行了具体的数据统计和分析,发现学生存在仅根据实验名称就确定为自己感兴趣的实验项目以及已选择的实验项目与考试选择的实验项目存在不一致等问题,并提出了相应对策,以期为大学物理实验课程教学改革提供参考。
College physics experiment course is one of the public basic compulsory courses provided by most of science and engineering universities in China.It has the characteristics of large number of students and wide range of majors,resulting in a large amount of data in the teaching process.Based on the big data technology,taking the undergraduate students'course learning data of three typical science colleges and three typical engineering colleges of Southwest Jiaotong University as an example,the specific data statistics and analysis are carried out from the aspects of students'project selection and examination score analysis.It is found that students have problems such as determining the learning interests of experimental projects only according to the name of the experiment,and there are inconsistencies between the experimental projects they usually choose and the experimental projects they choose in the examination.Solutions are put forward in order to provide references for the teaching reform of college physics experiment course.
作者
樊代和
魏云
沈军峰
贾欣燕
刘其军
高红梅
FAN Daihe;WEI Yun;SHEN Junfeng;JIA Xinyan;LIU Qijun;GAO Hongmei(National Demonstration Center for Experimental Physics Education(Southwest Jiaotong University),Chengdu 611756,China;School of Physical Science and Technology,Southwest Jiaotong University,Chengdu 611756,China;Office of Asset and Laboratory Management,Southwest Jiaotong University,Chengdu 611756,China)
出处
《实验室研究与探索》
CAS
北大核心
2022年第9期218-222,共5页
Research and Exploration In Laboratory
基金
教育部高等学校大学物理课程教学指导委员会2020年高等学校教学研究项目(DJZW202036xn)
四川省教师教育研究中心资助科研项目(TER2019-016)
西南交通大学本科教育教学研究与改革项目(20201036-02,2103135)
西南交通大学基础研究项目(2682021ZTPY131)。
关键词
大数据技术
大学物理实验
学习兴趣
成绩分析
big data technology
college physics experiments
learning interest
examination scores analysis
