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Study On Construction Method Of Teaching Quality Evaluation System In Higher Vocational Colleges

Posted on:2016-08-18Degree:MasterType:Thesis
Country:ChinaCandidate:R B XuFull Text:PDF
GTID:2308330479487232Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Higher vocational education is an important branch of higher education, its main purpose is to cultivate skilled talents with strong practical ability, and to make the higher vocational students with real operation ability and the ability of practice and innovation, and whether the teachers to pay more attention to the students practical ability training yourself to have a close relationship. In order to better and systematic evaluation of teachers’ teaching quality, establish a scientific teaching quality evaluation system in higher vocational colleges become the common demand of the students, schools and society.In this article, through the study of higher vocational colleges teaching quality evaluation system, from the implementation science building of teaching quality evaluation system model, using data mining technology to carry out the following research work:1. This paper proposes a hierarchical analysis extension model base on data mining technology, and construct a teaching quality evaluation system in higher vocational colleges.And data mining of association rules analysis method is used to further examine the rationality of the teaching quality evaluation system.2. In view of the teaching quality evaluation data of fuzziness, introducing fuzzy evaluation technology, the closer to the practical teaching quality evaluation conclusion. Then research the Apriori algorithm of data mining, and applied to the teaching quality evaluation system.3. According to the building of higher vocational colleges teaching quality evaluation system,design the framework of higher vocational colleges teaching quality evaluation system.
Keywords/Search Tags:Data Mining, Teaching Quality Evaluation, Association Rules, The Analytic Hierarchy Process, The Method of Fuzzy Analysis
PDF Full Text Request
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