Construction of Incentive Model for Young Teachers' Professional

Development Based on Artificial Neural Network

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.

Key-Words: -Artificial neural network; Young teachers; Professional development; Incentive model; Incentive

measures; Evaluation system.

topics in foreign academic circles [1]. Since the

beginning of this century, domestic scholars have

begun to carry out fruitful research on this topic.

Scholars in China and abroad have reached a

consensus on the important role of professional

development of teachers in educational reform, and

have recognized teaching. Teacher professional

development is at the center of all educational reform

strategies. It is the key to the success of school

development and educational reform. It is also the

starting point of teachers’ professional development

and have infinite potential. However, few scholars

have explained and analyzed the role and motivation

mechanism of teacher professional development,

although Song has proposed that teachers’

professional development should be emphasized. Zhu

pointed out the significance of the research on the

differences of teachers’ professional development

motivation, but there is still a lack of in-depth and

systematic research in this area.

community has noticed that the intrinsic motivation

of teachers’ independent development plays a key

role in teachers' professional development, and put

forward improvement strategies and management

methods in combination with their respective

professional knowledge. Ma's master dissertation on

primary and secondary school teachers found that

school system incentives and teachers’ professional

development initiative were significantly positively

correlated. But generally speaking, external support

way incentive model (BIM) to improve their

redistribution service level. In other words, BIM

stimulates leisure travelers to actively respond to the

bicycle reset demand of the system; On the other

hand, it guides commuters by encouraging them to

selecting the most important intrinsic mode function

(IMF) is given. Therefore, the selected features are

used to train the artificial neural network (ANN) to

classify the bearing defects. The experimental results

show that the method based on operation fault

vibration signal can reliably classify bearing defects.

Using the recommended Health Index (HI), REB

degradation of different defect types and severity can

be perfectly detected. The purpose of this study is to

illustrate how school external management measures

process. Establish BP neural network evaluation

model, determine the network structure, training

samples and network training, andconstruct the

incentive mechanism model of young teachers'

professional development according to the theory of

management by objectives.

The evaluation of incentive measures for teacher

professional development has different contents and

evaluation depends on a good evaluation model. This

study adopts Wile performance model to evaluate.

While Performance Model is a performance factor

analysis model proposed by American performance

technology expert Wile in 1996. It combines

professional development incentive measures with

the process of incentive performance evaluation. It

forms an evaluation system of teachers’ professional

development incentive measures. The composition of

the system is mainly from the outside of the incentive

of the evaluation [5, 6]. The commonly used weight

determination methods are AHP, Delphi, compulsory

scoring, ring comparison method, etc. AHP is the

most widely used one. According to the

characteristics of hierarchy, complexity and diversity

of incentive measures evaluation system, this study

uses AHP to determine the weight. The evaluation

system of incentive measures is shown in Table 1. It

indicators, the weight of on-the-job research and

teaching competition is relatively large, and the

weight of on-the-job research and teaching

competition is 0.22.

strong fault tolerance. It can be used in signal

processing, pattern recognition, combination

neural network, which consists of three parts,

including input layer, hidden layer (middle layer)

and output layer. The input layer and output layer

are usually only one layer, and the hidden layer may

have one or more layers. Each node in the network

represents a neuron, each layer of neurons

distributed in parallel with no connection. There is

only a connection between layer and layer neurons

The following steps are taken to establish the neural

network model for evaluation of incentive measures

for young teachers' professional development.

According to the specific requirements of the

into three primary indicators and nine secondary

indicators.9 of the secondary evaluation indexes are

used as input nodes of neural network.

The ultimate goal of the comprehensive evaluation

a deputy advanced level of 5-7, an intermediate

level of 8-10, and a primary level of 11-13. Each

level set the appropriate conditions of employment,

and young teachers determine their own

development goals according to their own

development stages [14-17]. Because each level has

a clear requirement on teachers’ research

achievements, number of papers and teaching

achievements, young teachers should adopt

appropriate organizational citizenship behaviors

gradually improve their scientific research ability in

the process of writing research reports and

publishing scientific research papers under the

support of the projects, and improve their teaching

skills. In the process of mutual attendance and

participation in teaching observation and

competition, they improve their teaching skills and

form a unique teaching style [18-20]. Young

teachers' leadership ability is often neglected by

training of young teachers' leadership ability is

indispensable for them to form a leading academic

used for simulation. The original data of the

experiment came from the Yearbook of Education

Statistics in China. The sample selection considers

generality and penalization, and tries to fully reflect

the level of incentive measures for professional

development of young teachers in different types of

universities, while taking into account the

differences between regions, as far as possible in

different provinces and cities, reflecting the

universality of the region.

based on the analytic hierarchy process and the

young teachers' professional development model

based on the weighted sum as a comparison. The

three models are compared under the same

experimental environment. This paper analyzes the

changes of young teachers’ professional

incentive measures designed in this paper from three

angles of the apprenticeship. The results are shown

Table 2.Effects of different models on young teachers' professional development

Through the analysis of Table 2, it can be concluded

that the incentive effect of young teachers’

professional development has been improved by

47.80%, 52.00% and 53.20% respectively, and the

incentive effect of young teachers' professional

development has been improved by using this

model. The angles of study aid, professional training

and attempt to impart increased by 27.50%, 32.60%

experimental data, we can see that the effect of

professional development of young teachers has

been greatly improved after using the proposed

model. This is because the young teachers'

professional development incentive model based on

the artificial neural network has constructed an

evaluation system for young teachers' professional

development incentive measures. The incentive

measures are divided into three first level indicators

and nine second level indicators. The nine second

Both the educational administration department and

the universities themselves have realized the

importance of the professional development of

young teachers, and have taken various measures to

urge and encourage the professional development of

teachers'initiative in professional development,

learning aid mainly refers to the encouraging

policies adopted to implement the idea of lifelong

learning, encourage young teachers to broaden their

horizons and continue learning. There are three

common forms of in-service education, visiting

schools in China and abroad, and attending

academic conferences of the same profession.

Universities generally encourage young teachers to

study for master's and doctoral degrees in-service by

conduct scientific research and training through

special scientific research projects.

order to help young teachers get into the role of

teachers as soon as possible, some universities have

selected instructors for young teachers, asking

young teachers and instructors to listen to each

other, and directing young teachers to improve their

teaching skills.

4) Combined with our own teaching work, we will

disciplines to adapt to the development of new

teaching concepts. Actively participate in on-the-job

information technology.

Teachers’ professional development is the key to the

success of school reform. The level of teachers'

professional development directly determines the

level of school development. As a young teacher in

the school, the development level represents the

future development of the school. This study

professional development based on artificial neural

network. Firstly, the incentive measures for young

teachers' professional development are divided into

of learning aid, professional training and teacher-

apprentice transmission of young teachers have

the teaching reflection ability, and make the original

concept more perfect and scientific.

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