摘要
为了提高远程教学质量的评估精度,针对当前远程教学评估模型的不足,提出支持向量机的远程教学质量评估模型。首先建立远程教学质量评估指标体系,采用核主成分分析选择重要指标,然后根据重要指标收集数据,采用支持向量机进行远程教学质量评估,最后采用某高校远程教学质量数据进行性能验证。结果表明,支持向量机显著改善了远程教学质量的评估效果,可以为高校教学管理者提供有价值的信息。
In order to improve the evaluation accuracy of the distance teaching quality,and eliminate the insufficient of the current distance teaching evaluation model,the distance teaching quality evaluation model based on support vector machine is proposed. The evaluation index system of the distance education quality is established. The kernel principal component analysis is used to select the key indicators,according to which the data is collected. The support vector machine is adopted to evaluate the distance teaching learning quality. The distance teaching quality data for a certain university is employed to test its performance. The results show that the support vector machine can improve the evaluation effect of the distance teaching quality significantly,and provide the valuable information for the university teaching administrators.
出处
《现代电子技术》
北大核心
2017年第13期126-129,共4页
Modern Electronics Technique
基金
2016年河北省人力资源与社会保障课题研究项目:基于网络环境下高校教师培训模式研究(JRS-2016-3065)
关键词
远程教学
质量评估
支持向量机
验证性实验
distance teaching
quality assessment
support vector machine
verification experiment
