Font Size: a A A

The Design And Implementation Of Fujian Normal University Teaching Quality Evaluation System Based On Data Mining

Posted on:2014-09-10Degree:MasterType:Thesis
Country:ChinaCandidate:D Y XieFull Text:PDF
GTID:2268330425467824Subject:Software engineering
Abstract/Summary:PDF Full Text Request
At present,the main method of evaluating teaching is did by students, as well as byexperts, so is the Fujian Normal University. In this way, it can obtain the quantitativeevaluation result of simple,but not to carry on the analysis to the evaluation of data, onlythe traditional evaluation way to get students or teachers or experts score, the scorecontains only the results, but not from these results obtained by assessor features andadvantages and disadvantages, which cannot be further guide the teacher.Data mining technology is a hot technology in the situation of informationexplosion. This article obtains from the data mining, introduces the related theory andtechnology of data mining, mainly studies the decision tree and association rulesalgorithm in data mining, and the two algorithms in practical application. In this thesis,starting from the actual situation of fujian normal university, through to the teachers’archives information mining, summarize and analyze the factors affecting the quality ofteaching.Secondly, this thesis studies the the construction of the fujian normal universityteaching quality assessment system, introduces how to use the analytic hierarchyprocess (ahp) to determine evaluation index. Combining the practical teaching in theprocess of our teaching evaluation data, to study the algorithms for experimental data.This article USES the ID3algorithm to implement data mining, using Apriori algorithmfor association rules. On the basis of the study, the two algorithms is applied to theteaching evaluation system of fujian normal university.Finally, this article embarks from the actual, and discusses the key of the datamining algorithm is applied to the feasibility in actual, then according to the analysisresults, the ID3and Apriori algorithm embodies the teaching evaluation system,combined with SQL server, gives the feasibility plan of the two methods. The teachingevaluation system mainly contains two subsystems: students online evaluation systemand teaching evaluation data mining system. Students through the campus network toevaluate the teaching quality of the teacher, the students’ evaluation of teaching andteachers’ archives data in data mining. In this thesis, the teaching evaluation systemrequirements analysis and general design, combined with the data mining algorithm,realize the basic function of teaching quality evaluation system.
Keywords/Search Tags:Teaching quality assessment, Data mining, Analytic hierarchyprocess, Association rules, Decision tree
PDF Full Text Request
Related items