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

针对传统的英语教学能力评估算法存在大数据信息分类不准的问题,提出基于大数据模糊K均值聚类和信息融合的英语教学能力估计算法。首先,建立约束参量指标分析模型;其次,使用定量递归分析方法对大数据信息模型的能力进行评估,实现能力约束特征信息的熵特征提取;最后,融合大数据信息融合及K均值聚类算法,实现英语教学能力的指标参数聚类和整合,编制相应的教学资源分配计划,实现英语教学能力评估。试验结果表明,采用该方法进行英语教学能力评估,具有较好的信息融合分析能力,提高了教学能力评估的准确性和教学资源应用效率。

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 ofbig 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 ofcapability 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 fusionand analysis capability,and improves the accuracy of teaching capability evaluation and the efficiency of teaching resource appli?cation.