Web日志挖掘在网络教学中的应用研究

Research on Application of Web Log Mining in Network Teaching

在网络教学模式下,学生学习的过程就是访问教学网站页面的过程,这些访问都能被完整地记录在系统日志中,通过对日志的分析挖掘,可以找出学生行为模式;在另一方面,教学网站的结构组织是不是符合学生和教师学习和教学的规律,通过对网站日志的分析也可以得到。所有这些都离不开数据挖掘技术。文章提出了基于Web日志挖掘的模型,并对组成该系统的关键模块进行了分析。通过统计分析挖掘页面兴趣度和分类聚类方法对学生进行划分,有效地改善网站结构、更好地为学生服务,提高教学质量水平。

Under the network educational model,the process which the student studies is to visit the pages of the process of teaching websites,these visits can record completely in the system log.Through the analysis and mining of the log,the student behaviour pattern may be discovered;On the other hand,the structural organization of the teaching site for students and teachers is in line with the laws of learning and teaching,through the analysis of Web logs can also be obtained.All these cannot leave the data mining technology.Present a based-on web log mining network teaching model.And the key components of the system modules were analyzed.Through method of statistical analysis mining rate of interest and method of clustering and classification divide into students,structure of the website is improved effectively and student is better serviced.As a result,teaching level is improved.