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Machine Learning Based Big Data Analytics for Education in Curriculum Reforms

Jing Zhang

Jing Zhang

College of Mathematics and Statistics, Cangzhou Normal UniversityCangzhou, China
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Zhang, Jing
 e 
Yongyan Fan

Yongyan Fan

College of Mathematics and Statistics, Cangzhou Normal UniversityCangzhou, China
Cerca questo autore su
Sciendo|Google Scholar
Fan, Yongyan
  
27 feb 2025
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Pubblicato online: 27 feb 2025
Ricevuto: 20 ott 2024
Accettato: 27 gen 2025
DOI: https://doi.org/10.2478/amns-2025-0135
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© 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
Lingua:
Inglese
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1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro
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