摘 要：本篇文章以大数据时代，我国教育领域正面临发展与改革的挑战为背景，阐述了中小学学习资源建设中存在的问题。在大数据的环境中，海量的学习资源不断地生成，造成获取的资源存在信息冗余，资源间离散程度高，数据缺乏相关性，难以对其进行组织管理等问题。以至于中小学的师生在利用互联网时，难以获得个性化推荐的资源，无法高效利用信息化学习资源。本文发现，学习资源的聚合可以有效解决这些问题。借鉴自然语言处理及数据挖掘等相关领域的理论与方法，利用聚类分析对中小学学习资源进行相应的处理与计算，并对学习资源的聚合功能进行了设计与开发，最终实现了学习资源的聚合。92894

毕业论文关键词：大数据，中小学学习资源，资源离散，聚类分析

Abstract：This article to big data era, China's education sector is facing the challenge of the development and reform as the background, this paper expounds the problems existing in the construction of learning resources of primary and secondary schools。In the big data environment, vast learning resources constantly generated, causing resources exist information redundancy, resources between discrete degree is high, the lack of data correlation, it is difficult to carry on the organization and management, etc。So that primary and secondary school teachers and students in using the Internet, is difficult to obtain the resources of personalized recommendation, efficient use of the information resources。This paper found that learning resource aggregation can effectively solve these problems。Reference in the field of natural language processing and data mining and so on related theory and method of middle and primary school learning resources to make use of cluster analysis corresponding processing and calculation, and the aggregation of learning resources function has carried on the design and development, finally realizes the aggregation of learning resources。

Keywords：Big data, Middle and primary school learning resources, Discrete resources,Clustering analysis

目   录

1 引言 6

2 中小学信息化学习资源应用现状 7

2。1 中小学信息化学习资源获取源F于K优B尔C论V文N网WwW.youeRw.com 原文+QQ752^018766 的途径 7

2。2 中小学信息化学习资源的表现形式 7

2。3 中小学信息化学习资源使用的程度 8

2。4 中小学信息化学习资源存在的不足 8

3 大数据背景下学习资源的特征 8

3。1 学习资源具有针对性和关联性 8

3。2 学习资源具有实时性和高效性 8

3。3 学习资源具有高度的离散性 9

4 资源聚合的设计及实现 9

4。1 学习资源聚合方法的选择 9

4。2 学习资源的初级聚合 9

4。3 聚类分析的基本步骤 10

4。4 聚类分析的算法 18

4。5 聚类结果优化 19

结语 21

参考文献 22

致谢 24

附录A：调查问卷 25