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The Application Research of Data Mining Technology in Teaehing Quality Evaluation

Author: WengYu
Tutor: ZuoBaoHe；ZhuJianLou
School: South China University of Technology
Course: Software Engineering
Keywords: Data Mining Quality of teaching AHP Decision Trees Fuzzy Comprehensive Evaluation
CLC: TP311.13
Type: Master's thesis
Year: 2010
Downloads: 282
Quote: 1
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Abstract


With the deepening of the reform of higher education , university teaching quality evaluation tools and methods are constantly improving . Teaching Quality Evaluation System main function is for teachers and university teaching quality evaluation and analysis of the evaluation results , the purpose is to present the main factors affecting the quality of teaching and improve teaching quality. Currently , the traditional method of teaching quality evaluation data processing simple evaluation of the main single , the lack of correlation analysis between the evaluation factors , can not fully meet the current teaching quality assessment of the actual needs. Teaching Quality Evaluation now developed into a multi-agent , multi-factor, multi-variable, uncertain fuzzy objective nonlinear process . In teaching quality evaluation system references the data mining methods, through statistics and analysis of the data , the data from the mass to identify potential law , find hidden patterns and accurately grasp the dynamics of the future . Through data mining technology , to a certain extent, be able to solve these problems, so that the information system function to get maximum use , functionally more to meet the needs of school teaching management . Teaching Quality Evaluation System Design evaluation process is divided into weight determination and evaluation designs. Evaluation design process to establish teaching as a teaching quality evaluation object to students, teachers, supervisors as the main object of diversified evaluation of the main evaluation index . Meanwhile, the analytic hierarchy process , expert opinions average method and fuzzy comprehensive evaluation method to introduce teaching quality evaluation , the establishment of indicators that contains the project , the type and content of the main indicators of teaching quality evaluation index system of three layers , AHP , expert opinions average method and fuzzy comprehensive evaluation method are combined to determine the weight of each index . Application of data mining process to build ID3 and C4.5 decision tree algorithm to analyze the impact of teaching quality evaluation factors and derive classification rules are used to evaluate the quality of teachers , so as to provide decision support information teaching departments , lead to better carry out teaching and, ultimately, improve teaching quality.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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