摘要
教学质量是影响教学效果的重要因素。学生对于教学评价制度的认知和感受及体验,是人们衡量一位教师的教学能力的重要依据,他们更愿意选择听名师的课。对教师教学能力评价和认知的合理分析,需要有效的评价工具。本研究拟对高校教师的教学能力、影响因素进行梳理;建立了教学能力鉴别的支持向量机的分类模型。结合支持向量机技术,对认知度进行鉴别。
Teaching quality is an important factor affecting teaching effect.Students'cognition,feeling and experience of the teaching evaluation system is an important basis for people to measure a teacher's teaching ability,and they prefer to listen to the class of a famous teacher.The reasonable analysis of teachers'teaching ability evaluation and cognition needs effective evaluation tools.In this study,the teaching ability and influencing factors of university teachers are combed,and the classification model of support vector machine(SVM)for teaching ability identification is established.Combined with support vector machine(SVM)technology,recognition degree is identified.
作者
孙萍
张譞
苏冠文
李嘉鹏
李军培
SUN Ping;ZHANG Xuan;SU Guanwen;LI Jiapeng;LI Junpei
出处
《高教学刊》
2020年第21期53-55,共3页
Journal of Higher Education
基金
2018年校级教学基金项目试题库资源建设项目“应用统计学”(编号:ST18-11)。
关键词
认知度
支持向量机
评价体系
cognition
support vector machine classification
evaluation system