Middle School Students Schoolwork Burden Prediction Model Construction Research

This thesis mainly aims to establish the prediction model of schoolwork burden on middle school students by mathematical method, grade and effectively monitor the weight of schoolwork burden. This paper is mainly divided into two parts, one is about the questionnaire survey, the other is to establish monitor and prediction model of schoolwork burden on middle school students, respectively, by comprehensive contribution method, optimization method and fuzzy evaluation method.1. Questionnaire survey. Firstly, in view of the problem of schoolwork burden on middle school students, design questionnaires on the basis of the main impact factors of schoolwork burden, which is understood by investigating on part of education experts, teachers and students in Liaoning province, by means of interview and questionnaire. Questionnaires contain two aspects: one is the students’ daily learning life; the other is the result of student’s mental health survey, the main reference of this part is psychology scales about schoolwork burden. Then make reliability analysis for the questionnaire, so as to ensure its effectiveness and rationality. Finally, make random anonymous questionnaire survey on part of middle school students in Liaoning province, sort and filter questionnaire data by statistical methods.2. Establish schoolwork burden model on middle school students through comprehensive contribution method. Firstly, make statistical analysis for survey data,determine the main impact factors of schoolwork burden; next, find inner changing rule of each impact factor respectively, build single factor identification model by displaying schoolwork burden ratio; then, establish multi-factor comprehensive index model, whose weight is determined by optimization method; finally, grade according to the distribution of the contribution degree and establish schoolwork burden monitor and prediction model.3. Establish regression model of schoolwork burden on middle school students by optimization method. Firstly, use optimization method to find out the linear impact factors of schoolwork burden, further, build multivariate linear regression model of schoolwork burden; Then employ optimization method to find out a nonlinear impact factor of schoolwork burden, and build multivariate nonlinear regression model of schoolwork burden; Finally, compare the two models, the result shows that themultivariate nonlinear regression model is better than the multivariate linear regression model.4. Build the schoolwork burden model on middle school students by fuzzy comprehensive evaluation method. Firstly, use the membership degree theory in fuzzy math to convert qualitative evaluation to quantitative evaluation, determine evaluation set and the weight of index set, and then calculate the comprehensive evaluation vectors, finally, establish monitor and prediction model of schoolwork burden. This model is mainly applied to monitor and forecast schoolwork burdens with class or school as a unit.Establish monitor and prediction model of schoolwork burden on primary and middle school students, aims to offer referent method and operating basis to the education administrative department for scientifically making policy, which is to reduce schoolwork burden, and effectively monitoring student schoolwork burden;effectively reducing the heavy academic and psychological burden; comprehensively boosting the quality education and promote students to get a lively and active,independent and creative development.