基于全过程教育数据挖掘的学生画像构建研究
Research on the Construction of Student Portrait Based on the Whole Process of Education Data Mining
宋潼潼 1苏盈盈 1夏长丽 1刘辉 1陈洪志 1陈霞1
作者信息
- 1. 吉林大学 基础医学院,吉林 长春 130021
- 折叠
摘要
该文选择学习行为、综合能力和素质发展等行为特征指标,在进行数据预处理后,采用随机森林选择重要特征值,利用改进的熵权法对选中的重要特征值进行赋权,采用聚类分析构建基于全过程教育数据的学生群体画像,探讨基于人工智能技术的学生画像在基础医学教育的应用前景.研究发现:基于人工智能技术的学生画像构建研究能够为基础医学的本科生和研究生教育提供新的改革思路,促进医学教育事业的发展.
Abstract
This study selected behavior characteristic indicators such as learning behavior,comprehensive ability and quality development.After data preprocessing,the random forest was used to select important eigenvalue,the improved entropy weight method was used to weight the selected important eigenvalue,and the cluster analysis was used to construct the student group portrait based on the whole process education data.The application prospect of student portraits based on artificial intelligence technology in basic medical education was discussed.Research has found the research on the construction of student portraits based on artificial intelligence technology provides new reform ideas for undergraduate and graduate education of basic medicine,and promotes the development of medical education.
关键词
学生画像/随机森林/基础医学/行为特征/特征指标/聚类分析Key words
Student portraits/Random forest/Basic medicine/Behavioral characteristics/Characteristic index/Cluster analysis引用本文复制引用
出版年
2024
NETL
NSTL
万方数据