The Connotation and Strategy of College Students' Behavior Analysis under the Background of Big Data

被引:2
作者
Han Geng [1 ]
Li Guang-yu [1 ]
机构
[1] Beihang Univ, Beihang Sch, 37 Xueyuan Rd, Beijing, Peoples R China
来源
2019 INTERNATIONAL CONFERENCE ON BIG DATA AND EDUCATION (ICBDE 2019) | 2019年
关键词
Big data; Student behavior analysis; Connotation; Strategy;
D O I
10.1145/3322134.3322135
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Big data, as a derivative of Internet technology, is now changing the way people living and knowing things. Using data mining technology to analyze the data of college students' learning and living behavior can get conclusions with rich guiding significance and educational connotation. This paper expounds the connotation and significance of student behavior analysis under the background of big data from three aspects of precise subsidy, academic assistance and mental health supervision, and discusses the strategies of student behavior analysis and student data mining. At last, taking Beihang Shoue College as an example, this paper studies the correlation between students' behavior and academic level, which is helpful to improve the framework of talent training system and promote the development of students' personalized talents.
引用
收藏
页码:48 / 51
页数:4
相关论文
共 7 条
[1]  
DENG H, 2017, ANAL COLL STUDENTS B, P1
[2]  
DONG Z N, 2018, PRACTICAL RES IDEOLO, V4, P108
[3]  
Heiner C., 2006, WORK SHOP ED DAT MIN
[4]  
LV N, 2016, STUDY TRANSFORMATION, P1
[5]  
WANG M Z, 2016, IDEOLOGICAL THEORETI, V5, P76
[6]  
[魏萍萍 Wei Pingping], 2003, [计算机工程, Computer Engineering], V29, P87
[7]  
Zhou Z., 2016, MACH LEARN, P73