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

<p>Driven by the current teaching management situation, teaching administrators at all levels generally hope to build a more complete teaching data operation center and data analysis system by using advanced information technology to provide teaching management personnel with a more comprehensive historical data analysis function. In the graph and improvement of the educating administration facts evaluation machine in this paper, the information warehouse and facts mining science used in the gadget are deeply studied. First of all, the troubles in the current instructing administration machine are analyzed in a centered manner, the technical framework of the entire teaching management data analysis system is designed and planned, and the various components of the framework are described and described in detail according to actual needs. Then, after the comparative evaluation of the facts warehouse and records mining strategies extensively used in more than a few fields in the present fields, the more than a few classical algorithms that can be utilized to the educating administration information evaluation device is improved, and the algorithms and algorithms are used to analyze the course grades and employment of the graduated alumni respectively, and the decision tree model is established, and finally the algorithm efficiency comparison chart is concluded that the improved C4.5 algorithm is better than the other three algorithms in terms of accuracy and time efficiency, and shows good classification performance.</p>
</abstract>

Driven by the current teaching management situation, teaching administrators at all levels generally hope to build a more complete teaching data operation center and data analysis system by using advanced information technology to provide teaching management personnel with a more comprehensive historical data analysis function. In the graph and improvement of the educating administration facts evaluation machine in this paper, the information warehouse and facts mining science used in the gadget are deeply studied. First of all, the troubles in the current instructing administration machine are analyzed in a centered manner, the technical framework of the entire teaching management data analysis system is designed and planned, and the various components of the framework are described and described in detail according to actual needs. Then, after the comparative evaluation of the facts warehouse and records mining strategies extensively used in more than a few fields in the present fields, the more than a few classical algorithms that can be utilized to the educating administration information evaluation device is improved, and the algorithms and algorithms are used to analyze the course grades and employment of the graduated alumni respectively, and the decision tree model is established, and finally the algorithm efficiency comparison chart is concluded that the improved C4.5 algorithm is better than the other three algorithms in terms of accuracy and time efficiency, and shows good classification performance.

Teaching Management Data Analysis Method Based on Decision Tree Algorithm

School of Education, Xi’an Fanyi University

Applied Mathematics and Nonlinear Sciences

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

{"article-title":"Teaching Management Data Analysis Method Based on Decision Tree Algorithm"}

Driven by the current teaching management situation, teaching administrators at all levels generally hope to build a more complete teaching data operation...

Teaching Management Data Analysis Method Based on Decision Tree Algorithm

Pubblicato online: 20 lug 2024

Pagine: -

Ricevuto: 08 apr 2024

Accettato: 22 giu 2024

DOI: https://doi.org/10.2478/amns-2024-1842

Parole chiave
Decision tree algorithms, teaching management, data analysis

© 2024 Peng Wang., published by Sciendo

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

Teaching Management Data Analysis Method Based on Decision Tree Algorithm

Pubblicato online: 20 lug 2024

Pagine: -

Ricevuto: 08 apr 2024

Accettato: 22 giu 2024

DOI: https://doi.org/10.2478/amns-2024-1842

Parole chiaveDecision tree algorithms, teaching management, data analysis

© 2024 Peng Wang., published by Sciendo

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

Parole chiave
Decision tree algorithms, teaching management, data analysis