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Research on Academic Buoyancy Classification Based on Iterative Decision Tree Algorithm
Ye, Qiaoling1,2; Zhou, Ting1,2; Ye, Qiaoling1,2
2022
通讯作者邮箱ye, qiaoling
会议名称Proceedings of the 4th IEEE Eurasia Conference on IoT, Communication and Engineering 2022
会议录名称Proceedings of the 4th IEEE Eurasia Conference on IoT, Communication and Engineering 2022, ECICE 2022
页码368-372
会议日期不详
会议地点不详
摘要

The relationship between family risk factors and academic buoyancy has received attention through empirical studies, such as Bad family atmosphere, frequent family conflicts, disharmonious parent-child relationship, etc. Other family factors have an impact on the development of academic buoyancy, but there is less research on its combination characteristics. Based on the actual education scene of a middle school, we first score students' academic buoyancy as the dependent variable and then collect nine types of variables representing family risk factors as independent variables. Then, a classification model between independent and dependent variables is constructed by using the decision tree method. The model provides a guideline for teaching work, and the test result of the model is ideal.

收录类别EI
语种英语
文献类型会议论文
条目标识符https://ir.psych.ac.cn/handle/311026/44771
专题中国科学院心理健康重点实验室
作者单位1.Institute of Psychology, Cas Key Laboratory of Mental Health, Beijing, China
2.University of Chinese Academy of Sciences, Department of Psychology, Beijing, China
3.Peking University, School of Health Humanities, Department of Medical Psychology, Beijing, China
推荐引用方式
GB/T 7714
Ye, Qiaoling,Zhou, Ting,Ye, Qiaoling. Research on Academic Buoyancy Classification Based on Iterative Decision Tree Algorithm[C],2022:368-372.
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