摘要
针对当前高校教学质量评价精度低的难题,为了提高高校教学质量评价的可靠性,提出基于证据理论和支持向量机(DS-SVM)相融合的高校教学质量评价模型。建立高校教学质量评价指标,并收集高校教学质量评价样本,分别通过支持向量机对专家、同行、学生的评价结果进行估计,采用证据理论对专家、同行、学生的评价结果进行有效融合,获得高校教学质量最终评价结果。实验结果表明,该模型可以获得较高精度的高校教学质量评价结果,比对比模型评价结果更加可靠,可以应用于实际的高校教学质量评价改革中。
In order to improve the accuracy and reliability of college teaching quality evaluation,a college teaching qualityevaluation model based on DS evidence theory and support vector machine(DS-SVM)is put forward.The index of college teaching quality evaluation was established.The sample of college teaching quality evaluation is collected.The evaluation effects of experts,colleagues and students were evaluated,and fused effectively with evidence theory to obtain the final result of collegeteaching quality evaluation.The experimental results show that the model can obtain high-accurate evaluation results of collegeteaching quality,its evaluation result is more reliable than that of the contrast model,and can be applied to the reformation ofcollege teaching quality evaluation.
作者
刘智萍
LIU Zhiping(College of Information Engineering,Jiangxi University of Technology,Nanchang 330098,China)
出处
《现代电子技术》
北大核心
2017年第17期175-178,共4页
Modern Electronics Technique
基金
江西省高等学校教学改革研究省级课题(JXJG-16-19-08)
关键词
高等教育
教学质量
证据理论
支持向量机
higher education
teaching quality
evidence theory
support vector machine
