面向微课移动学习的教学资源平台数据挖掘技术分析

Analysis of data mining technology of micro course mobile learning oriented teaching resource platform

为了解决目前学习平台中微课资源推送不精准、缺少学习路径优化推荐功能等问题,文章在分析微课与移动学习的内涵特征的基础上,重点对数据挖掘技术中的K-means聚类算法和Apriori算法进行分析,并通过数据挖掘技术实现了教学资源平台微课程资源的智能推送。

In order to solve the problems existing in the current learning platform,including inaccurate pushing of micro course resources,lack of learning path optimization recommendation function,etc.,this paper analyses the connotation and characteristics of micro course and mobile learning,and specially focuses on K-means algorithm and Apriori algorithm in data mining technology,and finally realizes the intelligent push of micro course resources in teaching resources platform by data mining technology.