摘要
为对教师教学质量进行精准评价,文章开展基于改进支持向量机(Support Vector Machine, SVM)的高校教师教学质量评价系统设计与实现研究。文章基于B/S模式,搭建用户管理、评价标准制定、评价任务发布、评价模型等核心模块作为系统架构,设定高校教师教学质量评价指标体系,规范并优化高校教师教学质量评价指标,构建高校教师教学质量评价模型,通过交叉验证法优化模型参数,实现教师教学质量评价。测试结果表明,设计系统具有较高的AUC值,能准确评价教师教学质量,应用效果较好。
In order to accurately evaluate the teaching quality of teachers,this research on the design and implementation of the teaching quality evaluation system of university teachers based on the improved SVM was conducted.The paper based on B/S mode,builds user management,evaluation standards,evaluation task,evaluation model core module as system architecture,sets college teachers teaching quality evaluation index system,standardizes and optimizes university teachers teaching quality evaluation index,and builds college teachers teaching quality evaluation model,through cross validation optimization model parameters,to realize the teachers’teaching quality evaluation.The test results show that the design system has high AUC value,can accurately evaluate teacher teaching quality and has good application effect.
作者
李俊桥
LI Junqiao(Changchun University of Finance And Economics,Changchun 130122,China)
出处
《无线互联科技》
2024年第19期49-52,共4页
Wireless Internet Science and Technology
基金
2023年吉林省高教科研重点自筹课题,项目名称:基于人工智能技术的高校教师教学质量评价体系构建研究,项目编号:JGJX2023C137。
关键词
改进SVM算法
教学质量评价
评价指标体系
系统设计与实现
improving SVM algorithm
teaching quality evaluation
evaluation index system
system design and implementation
