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Correlation Analysis Of Student Achievement Based On Campus Card Data

Posted on:2018-11-30Degree:MasterType:Thesis
Country:ChinaCandidate:S XueFull Text:PDF
GTID:2347330512496432Subject:Education Technology
Abstract/Summary:PDF Full Text Request
This article is understanding of campus card system hardware,software,network and database operation mode and data acquisition system,through deeper research development status of campus card system,and system architecture.Thus obtained further explored the source of the data from the campus card system,after data cleaning,screening,and then converted to binary classification variables in the system of the statistics of the students use the campus card,and then using the Apriori correlation analysis algorithm to dig out the binary classification variables processed five categories of data mining,and find out the hidden behind the data to follow the rules,excavated in students' daily behavior trajectory factors that affect performance.Interpretation and analysis of the results,in view of the problems found,provide the corresponding education strategies for education administrators.it fully uses of the distribution park trivial data,implement for colleges and universities to meet the needs of era of informatization of education and teaching management methods to provide valuable advice,to better promote the development of the whole school and improve students' academic level.This paper studies the selection of a college in the same grade of each class students as samples,sample amount is 226,class variables,each sample has five grades respectively,dietary laws,routine,access to the library number,number of books.According to the grades of students per class ranking to divide them into good and general,take all the average for the standard,the number of samples to eat breakfast is greater than and equal to the sample of this standard,the dietary laws as well,less than the sample of this standard,law standard is a regular diet.Take all the samples more than the average for the standard,the number of back to the dormitory at night is greater than or equal to the standard,routine marked as general,less than the standard,the routine marked as well.By the same token,the sample number of access to the library and the number of books is more than equal to the average of all samples,sample the values are marked as well,less than average,the standard for general.Will sort out the data table into SPSS Modeler modeling software,modeling using Apriori correlation analysis algorithm,after adjustment parameters,operating model,finally it is concluded that four consequent as the result of association rules,which are more in and out of the library,library books and eating more good to score ranking(S = 17.3%,C = 87.2%);Eating well,more books,and routine general-good performance ranking(S = 17.3%,C = 84.6%);Books and go to the library more and more good performance ranking(S = 20.8%,C = 80.9%);Routine generally fewer,dietary law generally,and access to the library to score ranking general(S = 18.1%,C = 80.5%).Routine general and less access to the library and dietary laws generally these three factors have no direct effects on the performance ranking general,each factor and the other two factors lead to concurrent when there will be a great probability scores rank of general.Less borrowing books this factor whether or not concurrent with other factors,did not affect performance generally.With four effective association rules from the factors influencing the scores ranking,are borrowing books,going to the library more and more good diet rules and routine,the former three factors to satisfy the conditions at the same time,or more books and go to the library more times this two factors to satisfy the conditions at the same time.And routine generally meet the conditions,in conjunction with other factors has influence on the performance ranking well,the results at first glance do not conform to the common sense,but it is shows good performance ranking and scores ranking of the students are generally have the habit of staying up late,time to go to bed late.According to such problem,education managers can use data to correspond education policy for students.Guidance,education students form a good routine.In this study,samples of the laws of diet,work and rest,number of books and the number of access to the library this four types of variable does not directly affect the overall performance alone.
Keywords/Search Tags:campus card system, data mining, apriori algorithm
PDF Full Text Request
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