| 摘 要: 在信息社会，各行各业的管理控制转变为以数据、信息为中心。在高等教育领域，高校重视学生信息数据库的建设，通过学生浏览信息的关键词、种类分布和浏览主题等多个维度构建学生画像向量空间模型。本文使用大数据技术构建学生学习画像基础模型框架，研究学生学习画像在个性化学习、问题预警及辅助学校决策等方面的应用，为高校提升学生培养质量提供参考。 |
| 关键词: 学习画像；用户标签；数据挖掘 |
|
中图分类号: TP311.13
文献标识码: A
|
| 基金项目: 江苏省大学生创新创业训练计划项目(xcx2020055). |
|
| Construction of College Students' Learning Portrait based on Big Data Technology |
|
CHEN Hui, YU Xin, LI Linlin, WU Suhui, JIANG Xiulian
|
(Xuzhou University of Technology, Xuzhou 221008, China)
1746599872@qq.com; 776434727@qq.com; 1317315180@qq.com; 1109850278@qq.com; 447502622@qq.com
|
| Abstract: In information society, it is data and information that manage and control all walks of life. In the field of higher education, universities attach importance to the construction of student information databases. The vector space model of student portraits is constructed through multiple dimensions such as keywords, type distribution and browsing topics of students' browsing information. This article uses big data technology to build a basic model framework for student learning portraits, and studies the aspects of student learning portraits in personalized learning, early warning of problems, and assistance in school decision-making, so as to provide references for colleges and universities to improve the quality of student training. |
| Keywords: learning portrait; user tags; data mining |
