【摘要】 随着当前互联网技术的迅猛发展和大数据时代的到来,基于大数据平台的实验教学已经越来越普及,学习和使用实验教学平台产生的海量数据已经成为教育研究与应用领域的热点问题。学生实验行为的分析基于在线实验教学平台,实时采集学生实验行为数据,并使用大数据分析技术构建学生行为画像,对学生行为属性进行量化存储。在行为画像的基础上,使用相关性算法和聚类算法对学生实验行为进行单点分析和集群分析,并进行可视化展示,一方面为学生管理提供科学化指导,另一方面为实验教学改革提供有价值的决策信息。更多还原

【Abstract】 At present, with the rapid development of Internet technology and the arrival of the big data, experimental teaching methods based on big data platform have become more and more popular. Learning and using the massive data generated by the experimental teaching platform has become a hot issue in the field of education research and application. The analysis of student experimental behavior is conducted based on an online experimental teaching platform, which collects student experimental behavior data in real time, and uses the big data analysis technology to construct the student behavior portrait and quantitatively store the behavioral attributes of students. On the basis of behavior portrait, correlation algorithm and clustering algorithm are used to analyze students’ experimental behavior in single point and cluster, and realize visualized presentation. On the one hand, it provides scientific guidance for student management, on the other hand, it provides valuable decision-making information for the experimental teaching reform.更多还原