Research On The Analysis Method Of Junior High School Test Paper Based On Data Mining

Currently,the domestic test paper analysis is mainly from the test paper itself,through the student's performance management and statistics.These results can be intuitive interface information displayed to the teacher.Teachers through the intuitive interface information to obtain the quality of the papers,students answer the situation and other aspects of the content to improve the teaching efficiency,and for each examination of the relevance of knowledge points between the analysis and mining research less.Although the traditional test paper analysis method can have a holistic grasp of the test paper,and simple operation,the theory is mature,but if the teacher based on the average value of the test paper itself expressed the meaning of the analysis,it is difficult to tap the students on the knowledge points and other aspects of the law,and it cannot be forecast according to the circumstances of the paper itself to the student.A large number of examination paper storage into the school and other institutions of the management system every year,which requires a new means to meet the growing demand for teaching.Data mining techniques use algorithms to dig deeper into the information that they want to express through the data set in the database.It satisfies the urgent requirement of the education sector to dig the content hidden behind the large amount of data information,and can provide a reference for teachers 'decision-making and students' learning behavior prediction.Therefore,how to apply data mining to test paper 'analysis.It becomes a question that worth thinking about.This paper will use the weka platform to apply the Apriori and K-mean in the data mining technology to the analysis of the papers,to provide teachers with a paper analysis method based on data mining,and explore how teachers use the data mining platform to analyze the papers,and then We validate the validity of the method of empirical analysis of the collected physical papers.Finally,we discuss how to use the data obtained by the test paper analysis method to provide a basis for the improvement of teachers' teaching activities in order to improve the teaching effect.The main contents of this paper are as follows:Firstly,through the relevant concepts of data mining,the advantages of data mining are discussed,and the present situation of data mining technology applied to test paper analysis is described.Based on this,a new paper is designed based on the related algorithms of data mining Analytical method;Secondly,the method is demonstrated.Using weka platform for the collection of more than a thousand physical papers for analysis,in determining the validity of the data under the premise.Including:1.Using the weka tool to analyze the feedback of the student feedback from the papers,analyze the relevance of the students 'questions,so as to understand the impact of the pre-measured knowledge points on the post-test knowledge points,analyze the pre-test that may affect the students' knowledge points and the corresponding questions;2.Using the weka platform to carry out cluster analysis of students' papers,first of all,according to the same papers in the relevant knowledge of students grasp the situation of the students clustering group,to understand the different groups of students to grasp the different knowledge points and the same group of students knowledge And to find out the students 'main weak knowledge points,and to clarify the corresponding students of each knowledge point,to provide the basis for teachers' group teaching and arrange student cooperative learning;and then teachers through the students of their own multiple papers on the overall analysis of a class of students to cluster in order to get a more objective grouping situation,and feedback to the teachers,contribute to better study of cooperative learning.Finally,it discusses how teachers can use the test paper analysis method to carry on the related teaching application,combine the examination result analysis to propose the strategy suggestion to the teaching activity,including the analysis of the student's knowledge mastery,the use of the group situation to carry on the related teaching hypothesis,in order to improve the teaching effect.This paper comprehensively considers the application method of data mining,hoping to provide a method for the analysis of teachers,which not only provides the data base for the individual teaching,but also promotes the smoothness of the teaching activities to carry out.This method is not only applicable to the physical disciplines,but also to other disciplines with strong knowledge and logic,and can provide some ideas for the school student information analysis.