大数据驱动的计算机教学效果评价模型  

Big Data Driven Domputer Teaching Effect Evaluation Model

作　　者：高兴 GAO Xing(Shenyang Conservatory of Music,Shenyang Liaoning 110818)

机构地区：[1]沈阳音乐学院公共基础部,辽宁沈阳110818

出　　处：《牡丹江大学学报》2021年第12期102-107,114,共7页Journal of Mudanjiang University

摘　　要：计算机教学效果评价是当前的研究热点,为了提高计算机教学效果评价精度,针对计算机教学效果评价结果精准性较差、耗时长缺陷,提出了基于大数据驱动的计算机教学效果评价模型。首先分析当前计算机教学效果评价的研究进展,建立计算机教学效果评价体系,并确定评价指标权重,将评价指标作为大数据驱动处算法——支持向量回归输入进行学习,建立计算机教学效果评价模型,最后进行了仿真实验,结果表明,该模型可有效评价计算机教学效果,评价结果的相对误差低,对计算机教学效果评价效率,具有一定的实用性。computer teaching effect evaluation is the current research hotspot.In order to improve the accuracy of computer teaching effect evaluation,aiming at the shortcomings of poor accuracy and long time-consuming of computer teaching effect evaluation results,a computer teaching effect evaluation model based on big data is proposed.This paper first analyzes the current research progress of computer teaching effect evaluation,establishes the evaluation system of computer teaching effect,and determines the weight of evaluation index.The evaluation index is used as the input of big data-driven algorithm support vector regression to learn,and establishes the evaluation model of computer teaching effect.Finally,the simulation experiment is carried out,and the results show that the model can effectively evaluate computer teaching effect The results show that the relative error of the evaluation results is low,the evaluation efficiency of computer teaching effect is high,and it has a certain practicality.

关 键 词：大数据驱动 计算机教学 支持向量机 效果评价 权重值 比较矩阵 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]