摘要
目的讨论Adaptive lasso-logistic回归模型在方剂学学习动机的影响因素中的应用。方法基于成都市某大学在校2017级学生进行分层抽样,综合运用方差分析及lasso-logistic回归模型,利用R软件分析学生在方剂学学习过程中关于学习动机的影响因素。结果模型共纳入662名学生,通过交叉验证法,可知Adaptive lasso-logistic回归模型中纳入的变量为:外驱动机、学习信念、考试焦虑、性别、专业、科别。从时间成本和模型简洁度来看,Adaptive-lasso logistic模型优于全变量logistic模型和ridge logistic模型。结论Adaptive-Lasso Logistics回归模型在压缩模型、变量筛选以及预测准确率上更有效,有助于了解学生的学习动机,为教学工作者后续教学安排提供一定的参考意见。
Objective To discuss the application of Adaptive lasso-logistic regression model in the influencing factors of learning motivation of formulaology.Methods Based on stratified sampling of students in 2017 at a university in Chengdu,a comprehensive analysis of variance and lasso-logistic regression models were used.R software was used to analyse the influencing factors of students'learning motivation in the process of formulaology learning.Results A total of 662 students were included in the model.Through cross-validation,the variables included in the Adaptive lasso-logistic regression model were external drive,learning belief,test anxiety,gender,major,and department.From the perspective of time cost and model simplicity,the Adaptive-lasso logistic model is superior to the full-variant logistic model and the ridge logistic model.Conclusion The Adaptive-Lasso Logistics regression model is more effective in compression model,variable screening and prediction accuracy.It is helpful to understand students'learning motivation and provide some reference for the follow-up teaching arrangement of educators.
作者
林薇
李家伟
刘兴隆
陈云慧
LIN Wei;LI Jia-wei;LIU Xing-long;CHEN Yun-hui(School of Management,Chengdu University of Traditional Chinese Medicine,Chengdu Sichuan 611137,China;School of Basic Medicine,Chengdu University of Tratitional Chinese Medicine,Chengdu Sichuan 611137,China)
出处
《时珍国医国药》
CAS
CSCD
北大核心
2020年第1期179-181,共3页
Lishizhen Medicine and Materia Medica Research
基金
成都中医药大学校级教改课题(JGYB201656)
四川省基层卫生事业发展研究中心(SWFZ17-Y-33)
四川省教育厅重点项目(17ZA0163)。
