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

<p>With the continuous development of artificial intelligence technology, rural education is crucial in Chinese education, and the problem of rural teachers’ incentive mechanisms directly affects the quality of rural education. Firstly, according to the incentive mechanism of rural teachers, quantitative and qualitative research on the incentive mechanism of teachers in rural areas using the fuzzy evaluation method is proposed. In the fuzzy judgment matrix, each level is determined based on the decomposition of the previous level, and the results of the previous level are determined based on the calculation results of the next level. Then, using the relevant motivation theory and questionnaires, the principal and teachers of the school were investigated to understand the current situation and main problems of the construction of teachers’ motivation mechanism in the junior high school of Un Dong Town, Duyun City. Using the fuzzy evaluation method to analyze the difference between the actual feeling and expected demand of teachers’ motivation, the result shows that the difference between salary and promotion is 1.22 and 1.19, which means that the difference between salary and promotion is bigger in the motivation mechanism of rural teachers, and we should focus on reforming the salary scheme and implementing the promotion training mechanism of rural teachers. This study confronts the problem of rural teachers’ incentive mechanism, which has good theoretical and practical guidance for improving education quality and so on.</p>
</abstract>

With the continuous development of artificial intelligence technology, rural education is crucial in Chinese education, and the problem of rural teachers’ incentive mechanisms directly affects the quality of rural education. Firstly, according to the incentive mechanism of rural teachers, quantitative and qualitative research on the incentive mechanism of teachers in rural areas using the fuzzy evaluation method is proposed. In the fuzzy judgment matrix, each level is determined based on the decomposition of the previous level, and the results of the previous level are determined based on the calculation results of the next level. Then, using the relevant motivation theory and questionnaires, the principal and teachers of the school were investigated to understand the current situation and main problems of the construction of teachers’ motivation mechanism in the junior high school of Un Dong Town, Duyun City. Using the fuzzy evaluation method to analyze the difference between the actual feeling and expected demand of teachers’ motivation, the result shows that the difference between salary and promotion is 1.22 and 1.19, which means that the difference between salary and promotion is bigger in the motivation mechanism of rural teachers, and we should focus on reforming the salary scheme and implementing the promotion training mechanism of rural teachers. This study confronts the problem of rural teachers’ incentive mechanism, which has good theoretical and practical guidance for improving education quality and so on.

Optimization of Teacher Incentive Mechanism and Policy Supply in Rural China Based on Judgment Matrix

Applied Mathematics and Nonlinear Sciences

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

With the continuous development of artificial intelligence technology, rural education is crucial in Chinese education, and the problem of rural teachers’...

Optimization of Teacher Incentive Mechanism and Policy Supply in Rural China Based on Judgment Matrix

Online veröffentlicht: 04. Okt. 2023

Seitenbereich: -

Eingereicht: 01. Dez. 2022

Akzeptiert: 14. Apr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00467

Schlüsselwörter
Rural education, Teacher incentive mechanism, Fuzzy evaluation method, Judgment matrix, Variance degree

© 2023 Tiantian Lv, published by Sciendo

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

Optimization of Teacher Incentive Mechanism and Policy Supply in Rural China Based on Judgment Matrix

Online veröffentlicht: 04. Okt. 2023

Seitenbereich: -

Eingereicht: 01. Dez. 2022

Akzeptiert: 14. Apr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00467

SchlüsselwörterRural education, Teacher incentive mechanism, Fuzzy evaluation method, Judgment matrix, Variance degree

© 2023 Tiantian Lv, published by Sciendo

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

Schlüsselwörter
Rural education, Teacher incentive mechanism, Fuzzy evaluation method, Judgment matrix, Variance degree