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
相关论文
共 50 条
  • [41] On the Application of Blended Learning in College English Teaching
    Li, Guangcai
    PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, INFORMATION AND MECHANICAL ENGINEERING (EMIM 2017), 2017, 76 : 453 - 458
  • [42] Data-Mining Possibilities in Blended Learning
    Baksa-Hasko, Gabriella
    Baranyai, Brigitta
    TEACHING AND LEARNING IN A DIGITAL WORLD, 2018, 716 : 174 - 183
  • [43] A Multi-weight Adaptive Analysis Method of Students' Learning Behavior
    Shen, Enqiang
    Wei, Ran
    Ding, Jin
    Zhu, Quanyin
    PROCEEDINGS OF THE 2016 2ND WORKSHOP ON ADVANCED RESEARCH AND TECHNOLOGY IN INDUSTRY APPLICATIONS, 2016, 81 : 1879 - 1882
  • [44] Building Information Modeling Learning Behavior of AEC Undergraduate Students in China
    Peng, Panyu
    Ao, Yibin
    Li, Mingyang
    Wang, Yan
    Wang, Tong
    Bahmani, Homa
    BEHAVIORAL SCIENCES, 2022, 12 (08)
  • [45] The Relationships of Self-efficacy, Learning Behavior, and Academic Performance of Junior Middle School Students in Online Learning
    Qing, Zhujun
    2020 NINTH INTERNATIONAL CONFERENCE OF EDUCATIONAL INNOVATION THROUGH TECHNOLOGY (EITT 2020), 2020, : 7 - 12
  • [46] Orientation-appraisal model for Japanese university students' learning of English: Relation among learning motive, cognitive appraisal, learning behavior, and performance
    Kubo, N
    JAPANESE JOURNAL OF EDUCATIONAL PSYCHOLOGY, 1999, 47 (04) : 511 - 520
  • [47] Exploring students learning behavior with an interactive etextbook in computer science courses
    Fouh, Eric
    Breakiron, Daniel A.
    Hamouda, Sally
    Farghally, Mohammed F.
    Shaffer, Clifford A.
    COMPUTERS IN HUMAN BEHAVIOR, 2014, 41 : 478 - 485
  • [48] The relationship of learning styles, learning behaviour and learning outcomes at the romanian students
    Magdalena, Stan Maria
    6TH INTERNATIONAL CONFERENCE EDU WORLD 2014: EDUCATION FACING CONTEMPORARY WORLD ISSUES, 2015, 180 : 1667 - 1672
  • [49] Analyzing Student's Learning Interests in the Implementation of Blended Learning Using Data Mining
    Ariyanto, Yuri
    Harijanto, Budi
    Asri, Atiqah Nurul
    INTERNATIONAL JOURNAL OF ONLINE AND BIOMEDICAL ENGINEERING, 2020, 16 (11) : 153 - 160
  • [50] Blended learning Using Mobile APP in Secondary Vocational Instruction: Design and Implementation
    Liu, Qingtang
    Yang, Hairu
    Ba, Shen
    Wang, Yang
    Zhao, Wenjun
    2019 10TH INTERNATIONAL CONFERENCE ON E-EDUCATION, E-BUSINESS, E-MANAGEMENT AND E-LEARNING (IC4E 2019), 2019, : 189 - 193
12345