现代电子技术2017，Vol.40Issue(20)：31-33,3.DOI:10.16652/j.issn.1004-373x.2017.20.009
基于大数据模糊K均值聚类的英语教学能力评估算法研究
Research of English teaching capability evaluation algorithm based on fuzzy K-means clustering of big data
摘要
Abstract
In allusion to that the traditional English teaching capability evaluation algorithm exists the problem of inaccu-rate big data information classification,an English teaching capability evaluation algorithm based on fuzzy K-means clustering of big data and information fusion is proposed. First,the analysis model of constraint parameters is established. Second,the quanti-tative recursive analysis method is used to evaluate the capability of the big data model and realize entropy feature extraction of capability constraint feature information. Finally,big data fusion is combined with K-means clustering algorithm to realize clus-tering and integration of English teaching capability parameters,prepare the corresponding teaching resource allocation plan, and realize English teaching capability evaluation. The experimental results show that this method has good information fusion and analysis capability,and improves the accuracy of teaching capability evaluation and the efficiency of teaching resource appli-cation.关键词
大数据/英语教学/教学能力评估/信息融合/数据聚类Key words
big data/English teaching/teaching capability evaluation/information fusion/data clustering分类
信息技术与安全科学引用本文复制引用
戈国梁..基于大数据模糊K均值聚类的英语教学能力评估算法研究[J].现代电子技术,2017,40(20):31-33,3.基金项目
江苏省现代教育技术研究2015年度课题(2015-R-41638) （2015-R-41638）
