Research On The Instruction Of Differential Classification Based On The Naive Bayes Algorithm

At present,the research on differentiated instruction is mainly concentrated on the theory of differentiated instruction,the necessity of the implementation of differentiated instruction,the process of the implementation of differentiated instruction,and the measures to ensure the implementation of differentiated instruction,but the premise of differentiated instruction is the differentiated detection.The measurement of students' differences mainly adopts the methods of observation,record,test and investigation.The analysis of the results of the survey is to quantify the data manually.However,it is not only a waste of human resources,but also a subjective approach,which can be used to judge the advantages and interests of students blindly,which is not accurate and scientific.The theoretical research and practical teaching of differentiated instruction is based on the classification of students' differences,by means of the differentiated detection of individual students,the students' differences are analyzed comprehensively in personality and learning.It provides the teaching objectives,methods and strategies for teachers' differentiated instruction,and make students understand their advantages and disadvantages,so as to avoid weaknesses in the study,to better promote the comprehensive development of their own,to realize their value of life.Therefore,it is urgent to study the classification method of the difference of the students.This paper is based on computer basic courses,which is mainly studied from three aspects,including the naive bayes algorithm,the students' differences in performance and the differentiated instruction.Combined with the relevant theoretical basis,the classification method based on naive bayes algorithm is proposed,the classification system is constructed,and the corresponding teaching model of the differential classification is designed.The teaching scheme of this classification is based on the class attribute value of the students and the samples,using the naive bayes classifier to make a scientific classification to the result of the differentiated detection.The scheme achieves such an effect that a classifier is set up at one time and the students are classified automatically in the later stage,having good classification results,and the classification accuracy will increase with the increasing number of students.This method can realize the classification of students effectively and scientifically.It can overcome the influence of subjective factors in the classification of students,avoid the division of the single performance with the standard of learning,and avoid blind grouping without knowing the students.This teaching plan is based on the students' subjective needs as the starting point,individualizing to the students through the reasonable analysis.According to the characteristics of the school students,the multi-dimensional classification attributes are established and the naive bayes classification algorithm is applied to the class classification teaching experiment.Based on the analysis of the teaching effect,the application of the differential classification teaching has made some achievements.It can effectively solve the issues of "not enough to eat","can not eat",and not up to standard in the current teaching.At the same time,it can stimulate students' learning interest and improve their cooperation ability.It provides the data support for the theoretical research and practical teaching of differentiated instruction in the future.