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<p>To cope with the problems existing in the education and Management of students in traditional colleges and universities, improve the management efficiency and realize the informatization of education management, this study proposes a set of optimization paths for the education and Management of students in colleges and universities. In this paper, an intelligent and diversified education management platform is constructed, aiming to strengthen the operation efficiency of the education management team in colleges and universities. By introducing a fuzzy evaluation algorithm to judge the educational management paths of college students and normalizing the input data, empirical evaluation results are derived. Comparative Analysis of the data in the study showed that the optimized educational management path significantly improved students’ daily behavior and mental health status. Students’ average daily online time was effectively controlled between 5.6 and 10.5 hours, the online period was more in line with the healthy work and rest, and the rates of disciplinary behaviors and Internet fraud victimization decreased respectively. At the same time, students’ mental health and learning effects were also improved. In summary, the education and management path for college students proposed in this paper significantly strengthens the management system and comprehensively cultivates students. It provides an effective informatization strategy for education management in colleges and universities.</p>
</abstract>

To cope with the problems existing in the education and Management of students in traditional colleges and universities, improve the management efficiency and realize the informatization of education management, this study proposes a set of optimization paths for the education and Management of students in colleges and universities. In this paper, an intelligent and diversified education management platform is constructed, aiming to strengthen the operation efficiency of the education management team in colleges and universities. By introducing a fuzzy evaluation algorithm to judge the educational management paths of college students and normalizing the input data, empirical evaluation results are derived. Comparative Analysis of the data in the study showed that the optimized educational management path significantly improved students’ daily behavior and mental health status. Students’ average daily online time was effectively controlled between 5.6 and 10.5 hours, the online period was more in line with the healthy work and rest, and the rates of disciplinary behaviors and Internet fraud victimization decreased respectively. At the same time, students’ mental health and learning effects were also improved. In summary, the education and management path for college students proposed in this paper significantly strengthens the management system and comprehensively cultivates students. It provides an effective informatization strategy for education management in colleges and universities.

Study on the Path of Enhancing the Effectiveness of College Students’ Education and Management in the Context of Informatization

Applied Mathematics and Nonlinear Sciences

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

To cope with the problems existing in the education and Management of students in traditional colleges and universities, improve the management efficiency and...

Study on the Path of Enhancing the Effectiveness of College Students’ Education and Management in the Context of Informatization

Pubblicato online: 26 feb 2024

Pagine: -

Ricevuto: 04 gen 2024

Accettato: 11 gen 2024

DOI: https://doi.org/10.2478/amns-2024-0395

Parole chiave
Fuzzy evaluation algorithm, Normalization processing, Informatization, Education management, Path enhancement

© 2024 Miaoqin Chen, published by Sciendo

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

Study on the Path of Enhancing the Effectiveness of College Students’ Education and Management in the Context of Informatization

Pubblicato online: 26 feb 2024

Pagine: -

Ricevuto: 04 gen 2024

Accettato: 11 gen 2024

DOI: https://doi.org/10.2478/amns-2024-0395

Parole chiaveFuzzy evaluation algorithm, Normalization processing, Informatization, Education management, Path enhancement

© 2024 Miaoqin Chen, published by Sciendo

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

Parole chiave
Fuzzy evaluation algorithm, Normalization processing, Informatization, Education management, Path enhancement