Study On The Relationship Between Math Homework Burden,Deep Learning And Academic Achievement And The Teaching Strategy Of Junior High School Students

Under the current environment,students are facing more and more pressure,and the country has also constantly issued documents to reduce the burden of students,among which the most important thing is to reduce the homework burden of students.On the other hand,teaching is also constantly reformed.New education advocates students to carry out deep learning.Only deep learning can we truly understand knowledge,master knowledge,use knowledge to solve problems and finally transfer it.Middle school students,still in such a social-rooted environment,must take the high school entrance exam to gain access to higher education,thus making it a critical factor for those in the middle school.The selection of middle school students is based upon academic success as the primary criterion.Based on this,this study takes middle school students as the research object,starts with the homework burden of students,takes deep learning as the breakthrough point,and discusses the internal mechanism of improving the academic achievement of middle school students,to provide theoretical support and practical guidance for the teaching related personnel.The specific research work is as follows:First of all,based on the research of relevant literature at home and abroad,the research deeply expounds the connotation of the three concepts of mathematics homework burden,deep learning and academic achievement,and on this basis,the dimensions of mathematical homework burden and deep science concept are scientifically divided.Then,according to the research interest and existing research,a theoretical model of the mediation effect between middle school students’ mathematical homework burden,deep learning and academic achievement is constructed.On the basis of the theoretical model,the research puts forward relevant assumptions:the burden of math homework affects the math performance by affecting deep learning.The math assignment burden was the independent variable,deep learning was the mediating variable,and math performance was the dependent variable.Secondly,the math homework burden questionnaire was designed and developed to verify the structural validity of deep learning questionnaire.The questionnaire was used to collect the data of the math homework burden,deep learning and academic achievement.On this basis,statistical analysis tools were used to analyze the data.Research found that:(1)The assumption that math homework burden affects math performance by influencing deep learning holds true.(2)The hypothesis that homework negative cognition,emotion and behavior affect math performance by influencing shallow methods holds.They are partial mediation effect and concealment effect respectively.Finally,based on the results of the empirical study,the study is to improve teaching from two aspects:negative cognition,emotion and behavior of homework and shallow method,it mainly includes reducing the difficulty of mathematics homework,reducing the amount of mathematics homework,improving the accuracy of mathematics homework,arranging interesting mathematics homework to reduce shallow motivation,cultivating students’ metacognition to reduce the use of shallow strategies,and promoting students’ understanding to reduce the use of shallow strategies.