<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In this paper, we first constructed a college education management system based on big data technology, clarified the system layout, analyzed the functional requirements of different personnel roles, and used the B/S development structure and mode to complete the layout and construction of hardware. Then, the evaluation model is established by using factor analysis and principal component analysis to calculate the eigenvalue, variance contribution rate and comprehensive score of each factor, and the evaluation index system is established. Finally, the effect of digital education management in colleges and universities is evaluated in terms of reliability, responsiveness, assurance and tangibility, and overall perceived quality. The scores of all dimensions are higher than 4, the student’s expectations are all in the range of 5-6.5, and the real perception is in the range of 4-5.5. Teachers’ expectations were in the range of 5-6 points, and their true perceptions were in the range of 4-5 points. Teachers and students are satisfied with the effectiveness of school management. This study has significance for educational reform as well as management upgrading in colleges and universities.</p>
</abstract>

In this paper, we first constructed a college education management system based on big data technology, clarified the system layout, analyzed the functional requirements of different personnel roles, and used the B/S development structure and mode to complete the layout and construction of hardware. Then, the evaluation model is established by using factor analysis and principal component analysis to calculate the eigenvalue, variance contribution rate and comprehensive score of each factor, and the evaluation index system is established. Finally, the effect of digital education management in colleges and universities is evaluated in terms of reliability, responsiveness, assurance and tangibility, and overall perceived quality. The scores of all dimensions are higher than 4, the student’s expectations are all in the range of 5-6.5, and the real perception is in the range of 4-5.5. Teachers’ expectations were in the range of 5-6 points, and their true perceptions were in the range of 4-5 points. Teachers and students are satisfied with the effectiveness of school management. This study has significance for educational reform as well as management upgrading in colleges and universities.

The Application of Big Data Technology in Educational Management in Higher Education

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In this paper, we first constructed a college education management system based on big data technology, clarified the system layout, analyzed the functional...

The Application of Big Data Technology in Educational Management in Higher Education

Pubblicato online: 11 nov 2023

Pagine: -

Ricevuto: 25 nov 2022

Accettato: 22 mag 2023

DOI: https://doi.org/10.2478/amns.2023.2.01078

Parole chiave
Factor analysis, Principal component analysis, B/S structure, Big data, Education management

© 2023 Fangqin Ma, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The Application of Big Data Technology in Educational Management in Higher Education

Pubblicato online: 11 nov 2023

Pagine: -

Ricevuto: 25 nov 2022

Accettato: 22 mag 2023

DOI: https://doi.org/10.2478/amns.2023.2.01078

Parole chiaveFactor analysis, Principal component analysis, B/S structure, Big data, Education management

© 2023 Fangqin Ma, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Factor analysis, Principal component analysis, B/S structure, Big data, Education management