基于大数据的网络公开课标签库建设

Construction of network public class label database based on big data

大数据时代的到来,使得应用教学资源提升教学效果成为必然,而网络公开课标签化又是提升网络教学资源使用效果的前提。在分析了三种主要的网络公开课信息数据获取途径的基础上,对其分别采用定期抽取、矩阵打分和智能聚类分类模型算法进行分析和提取,搭建了具有分层分级管理思想的网络公开课标签体系架构,形成了综合性和独特性兼备的课程标签库。通过对公开课标签库的研究,提升网络公开课资源的覆盖率和准确性,对提升教学效果有重要意义。

Coming of big data era makes the application of teaching resources and promotion of teaching effect become the necessity,and the labeling network public class is the premise of promoting the using effect of the network teaching resource.The main three approaches to acquire the information data of network public class are analyzed. Based on this,the data is analyzed and extracted by means of regular extraction,matrix grading,intelligent clustering and classification model algorithm respectively. The network public class label architecture with the thought of hierarchical and layered administration was established to form the class label database with both integrity and peculiarity. The studying of the public class label database can promote the coverage rate and accuracy of the network public class resources,and has certain contribution to promote the teaching result.