教育数据挖掘的在线学习机制研究

Research on Online Learning Mechanism Based on Educational Data Mining

研究了基于教育数据挖掘的在线学习机制。以计算机基础信息化导学平台为依据,通过收集学员登录平台中情况、资源浏览相关信息数据,并对这些日志数据进行预处理,在此基础上统计分析学员的登录及资源浏览情况,通过决策树算法完成对其产生影响因素的挖掘过程,使教育教学工作者根据分析结果更好地掌握学员的学习情况,并据此完成有针对性的教学内容整合及教学模式构建,提升在线学习的质量和效率。

This paper mainly studies the online learning mechanism based on educational data mining.Based on the computer basic information guidance platform,it collects the information of the students’landing platform,browses the relevant information data,and preprocesses these log data.On this basis,statistical analysis of the student’s landing and resource browsing,through the use of decision tree algorithm,are used to complete the mining process of the factors affecting it,so that the education and teaching workers can better grasp the learning situation of the students according to the analysis results.This completes the integration of targeted teaching content and the construction of teaching models to improve the quality and efficiency of online learning.