摘要
基于主成分分析(PCA)和最小二乘线性回归分析(OLS)等统计模型的算法特点,构建PCA OLS综合评价模型,并将其应用在数学分析习题课的教学效果评价中.通过对成都师范学院学生数学分析习题课教学效果相关数据的实证分析,发现数学分析习题课对学生动手实践能力、创新能力和研究能力的培养至关重要.
Based on the algorithm characteristics of evaluation models,such as principal component analysis and ordinary least square regression analysis,PCA OLS comprehensive evaluation model has been constructed.The model was applied to evaluating the teaching effect of mathematical analysis exercise courses.By conducting an empirical study based on the data collected from teaching the courses in Chengdu Normal University,it indicates that mathematical analysis exercise courses are of great importance to cultivating students’capabilities in practice,innovation and research.
作者
王成强
WANG Cheng-qiang(School of Mathematics,Chengdu Normal University,Chengdu 611130,China)
出处
《湖州职业技术学院学报》
2020年第3期55-58,共4页
Journal of Huzhou Vocational and Technological College
基金
2020年度成都师范学院校级教改一般项目“本科师范专业数学分析课程习题课教学改革的探索”(2020JG38)的研究成果之一.
关键词
数学分析习题课
教学效果
综合评价模型
mathematical analysis exercise courses
teaching effect
comprehensive evaluation model