Research on the Learning Behavior of Students in Blended Learning Mode

被引：2
|
作者：
Long, Zhu [1 ]
Mu, Xingsen [1 ]
Song, Chunhong [1 ]
Tian, Dan [1 ]
机构：
[1] Dalian Univ Technol, Dalian, Peoples R China
来源：
2021 IEEE 6TH INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS (ICBDA 2021) | 2021年
关键词：
blended learning mode; learning behavior; data mining; learning effect;
D O I：
10.1109/ICBDA51983.2021.9403027
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
With the advent of the information age coming, the Blended Learning mode combining real classrooms and online teaching has gradually become a research hotspot in the field of education at home and abroad. In the process of implementing the teaching mode, students have produced a great deal of data related to their leaming behavior, thus data mining and students' behavior analysis can play a guiding role in the learning process. Taking the "Data Structure" course as a practical case, this paper investigates the relationship between the learning behaviors and effects of this course, analyzes the deficiency in the Blended Learning mode, which provides strong support for improving the quality of education.
引用
收藏
页码：210 / 213
页数：4
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