Open Access

Machine Learning Based Big Data Analytics for Education in Curriculum Reforms

Jing Zhang

Jing Zhang

College of Mathematics and Statistics, Cangzhou Normal UniversityCangzhou, China
Search for this author on
Sciendo|Google Scholar
Zhang, Jing
 and 
Yongyan Fan

Yongyan Fan

College of Mathematics and Statistics, Cangzhou Normal UniversityCangzhou, China
Search for this author on
Sciendo|Google Scholar
Fan, Yongyan
  
Feb 27, 2025
Machine Learning Based Big Data Analytics for Education in Curriculum Reforms's Cover Image
About this article
Previous Article
Next Article
Cite
Download Cover
Published Online: Feb 27, 2025
Received: Oct 20, 2024
Accepted: Jan 27, 2025
DOI: https://doi.org/10.2478/amns-2025-0135
Keywords
© 2025 Jing Zhang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 4.1

Presentation of general information about the data set
Presentation of general information about the data set

Figure 4.2.

Average number of books borrowed per semester by students with different academic performance
Average number of books borrowed per semester by students with different academic performance

Figure 4.3.

Internet access hours of students with different academic performance from January to December
Internet access hours of students with different academic performance from January to December

Figure 4.4.

Comparison of entropy of online behaviour of different categories of students
Comparison of entropy of online behaviour of different categories of students

Figure 4.5.

Students' mastery of different knowledge modules in advanced mathematics
Students' mastery of different knowledge modules in advanced mathematics
Language:
English
Publication timeframe:
1 times per year
Journal Subjects:
Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
Journal RSS Feed