Font Size: a A A

Research On Teaching Quality Evaluation System Based On Data Mining Technology

Posted on:2018-04-20Degree:MasterType:Thesis
Country:ChinaCandidate:C C ZhangFull Text:PDF
GTID:2347330569985835Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Teaching quality is the basic guarantee for secondary vocational schools to achieve educational goals,and is the basis for training talents.There are many factors that determine the quality of teaching,and the relationship between some factors can not be understood with subjective awareness.The school issued by the paper questionnaire of teaching quality evaluation work,and in this way there is a certain degree of subjectivity and one sidedness,at the same time,the relation between the main factors to affect the quality of teaching science to find.With the development of data mining technology,people can use data mining technology to extract interesting knowledge and information from vast amounts of data.Using association rules algorithm to find out the key factors that affect the quality of teaching,provide a strong basis for teaching arrangement and teaching management in secondary vocational schools,and then improve the teaching level of secondary vocational colleges.In this paper,the design and development of the teaching quality evaluation system for the development of our school,according to the Dalian financial college teaching evaluation data,the association rule mining technology in the application of data mining and analysis,according to the large amount of data mining,mining quality is easily affected by other factors,should be used in association rules algorithm of Apriori-P based on the history of evaluation data and existing evaluation data mining and analysis,through data collection,data preprocessing process,for the establishment of the association rules mining database.Through association rules,the key factors affecting teaching quality evaluation are analyzed,which provides a strong basis for teaching reform and management.Finally,the design and implementation of the teaching evaluation system applying association rules mining are discussed in detail.The teaching quality evaluation system based on improved Apriori-P algorithm is developed in this paper,based on the evaluation of teaching data mining,one can discover the key factors affecting the teaching quality of the teachers,can help teachers improve their teaching level;on the other hand,provide a strong basis for teaching reform and management.
Keywords/Search Tags:Data Mining, Association Rules, Apriori Algorithm, Apriori-P Algorithm, Teaching Quality Evaluation
PDF Full Text Request
Related items