Construction of Incentive Model for Young Teachers’ Professional Development Based on Artificial Neural Network

Abstract

Because the traditional incentive model for young teachers’ professional development does not combine incentive measures with independent professional development, the incentive effect is poor. And the relationship between external support measures and teachers’ independent professional development has not been well connected. In order to solve the problem of poor effect of the incentive model, an incentive model for young teachers’ professional development based on artificial neural network was designed., constructs an evaluation system of incentive measures for young teachers’ professional development, divides incentive measures into three primary indicators and nine secondary indicators, evaluates nine secondary indicators by using artificial neural network model, and obtains that the secondary indicators are all good. According to the incentive measures in the secondary indicators and the target management theory, the incentive model of young teachers’ professional development is constructed. The results show that the scores of robustness, incentive selection, scope of use and homomorphism of the model are 95.6, 96.7, 94.2 and 93.8 respectively; after using the model, the professional development perspectives of young teachers, such as learning aid, professional training and teacher-apprenticeship, have been improved by 47.80%, 52.00% and 53.20% respectively.