您当前的位置:
首页 >
文章列表页 >
Data Analysis and Prediction of Learning Behavior Based on MOOC Learning Platforms
Smart Education | 更新时间:2025-02-26
    • Data Analysis and Prediction of Learning Behavior Based on MOOC Learning Platforms

    • According to the latest report, the Army Engineering University analyzed the learning behavior of MOOC students through data mining technology, discovered features related to academic performance, and constructed an academic warning model to provide a basis for improving teaching quality.
    • Software Guide   Vol. 24, Issue 2, Pages: 198-203(2025)
    • DOI:10.11907/rjdk.241709    

      CLC: G642
    • Received:14 August 2024

      Published:28 February 2025

    移动端阅览

  • XIE Xiaoyu,FAN Shen,SONG Jinyu,et al.Data Analysis and Prediction of Learning Behavior Based on MOOC Learning Platforms[J].Software Guide,2025,24(02):198-203. DOI: 10.11907/rjdk.241709.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Adaptive Learning Path Recommendation Supported by Deep Learning——Knowledge Tracing Model Integrating Graph Embedding and Attention Mechanism
Research on Multiple Interactive Strategies of Live Classroom
Research on the Influence of Online Learning Interaction Experience on College Students' Emotional Engagement
Multimedia Learning Platform and Application for Training Room——Take the Application in the Training Room of Chinses and Western Pastry Making as an Example
Investigation and Countermeasures on Online Learning of Programming Language Course in the Epidemic Situation

Related Author

YUAN Yuan
SUN Xiaoqi
LI Xin-xiang
PAN Yu
HE Jing
CHEN Wei
YAN Zhao-cun
WANG Jian

Related Institution

School of Educational Science, Nantong University
Academy of Art Design, Quzhou College of Technology
Academy of Cultural Creativity and Management,Communication University of Zhejiang
School of Computer and Information Technology, Liaoning Normal University
School of Computer Science & Engineering,South China University of Technology
0