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<p>In recent years, higher education management has been improving, but the coordinated development of the overall educational management and student management system of colleges and universities still needs to be further improved and enhanced. This paper uses data envelopment analysis and data fusion technology to establish DEA fusion algorithm and DEA-Malmquist index method to evaluate and analyze students’ learning efficiency in colleges and universities. The results indicated that the average degree of perfection of online teaching management in higher education is low, 86.2%. Students’ overall satisfaction with this is also expected at 56.2%. There is a need to strengthen management and improve classroom interactivity and innovation, to enhance the quality and attractiveness of courses, and to avoid excessive fragmentation. In addition to the existing problems, the results achieved include more accessible access to learning resources, with a percentage of 88.6%. The algorithm of this paper is used to study the efficiency of higher education and student learning, and to provide a more comprehensive and objective approach to the development of the quality of higher education and student management for the later development of higher education.</p>
</abstract>

In recent years, higher education management has been improving, but the coordinated development of the overall educational management and student management system of colleges and universities still needs to be further improved and enhanced. This paper uses data envelopment analysis and data fusion technology to establish DEA fusion algorithm and DEA-Malmquist index method to evaluate and analyze students’ learning efficiency in colleges and universities. The results indicated that the average degree of perfection of online teaching management in higher education is low, 86.2%. Students’ overall satisfaction with this is also expected at 56.2%. There is a need to strengthen management and improve classroom interactivity and innovation, to enhance the quality and attractiveness of courses, and to avoid excessive fragmentation. In addition to the existing problems, the results achieved include more accessible access to learning resources, with a percentage of 88.6%. The algorithm of this paper is used to study the efficiency of higher education and student learning, and to provide a more comprehensive and objective approach to the development of the quality of higher education and student management for the later development of higher education.

Harmonization of higher education and student management by integrating information technology

Applied Mathematics and Nonlinear Sciences

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

In recent years, higher education management has been improving, but the coordinated development of the overall educational management and student management...

Harmonization of higher education and student management by integrating information technology

Publié en ligne: 26 févr. 2024

Pages: -

Reçu: 04 janv. 2024

Accepté: 09 janv. 2024

DOI: https://doi.org/10.2478/amns-2024-0371

Mots clés
DEA fusion algorithm, DEA-malmquist index method, Data fusion technology, College education

© 2024 Ling Yang, published by Sciendo

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

Harmonization of higher education and student management by integrating information technology

Publié en ligne: 26 févr. 2024

Pages: -

Reçu: 04 janv. 2024

Accepté: 09 janv. 2024

DOI: https://doi.org/10.2478/amns-2024-0371

Mots clésDEA fusion algorithm, DEA-malmquist index method, Data fusion technology, College education

© 2024 Ling Yang, published by Sciendo

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

Mots clés
DEA fusion algorithm, DEA-malmquist index method, Data fusion technology, College education