基于大数据分析的英语线上线下混合式教学效果评价  

Evaluation of English Online and Offline Mixed Teaching Effect Based on Big Data Analysis

作　　者：刘俊君 LIU Junjun(College of Business,Dalian University of Finance and Economics,Dalian 554300,China)

机构地区：[1]大连财经学院商学院,辽宁大连554300

出　　处：《长春大学学报》2023年第2期27-32,共6页Journal of Changchun University

基　　金：辽宁省教育厅项目(JG20DB026);辽宁省民办教育协会课题(LMJX2021216)。

摘　　要：研究基于大数据分析的英语线上线下混合式教学效果评价方法,为提升线上线下混合式英语教学效果提供有力支撑。应用自适应布谷鸟搜索的并行K-means聚类算法聚类混合式英语教学相关数据,根据聚类得到教学数据设计混合式英语教学评价指标体系,构建基于改进BP神经网络的教学效果评价模型,完成混合式英语教学效果评价,依据该评价结果开展针对性措施增强混合式英语教学效果,提升学生英语成绩。This paper studies the evaluation method of English online and offline mixed teaching effect based on big data analysis,so as to provide strong support for improving the effect of online and offline mixed English teaching.The parallel K-means clustering algorithm of adaptive cuckoo search is applied to cluster the relevant data of mixed English teaching,the evaluation index system of mixed English teaching is designed according to the teaching data obtained by clustering and the teaching effect evaluation model based on the improved BP neural network is constructed to fulfill the teaching effect evaluation.According to the evaluation results,the targeted measures is adopted to improve the effect of mixed English teaching and enhance students'English performance.

关 键 词：大数据分析 线上线下 混合式 英语教学 教学效果评价 最佳逼近函数 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]