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Research and Application of Experimental Teaching Evaluation Methods

Author: SunXiangDong
Tutor: DongLiLi
School: Xi'an University of Architecture and Technology
Course: Applied Computer Technology
Keywords: Experimental Teaching Evaluation System Association Rules Analytic Hierarchy Process Rough Sets discernibility matrix
CLC: TP311.13
Type: Master's thesis
Year: 2011
Downloads: 91
Quote: 1
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Abstract


Educational evaluation is an important part of educational research. In recent years, with the development of education, reform of education system, education theory, the content of teaching, teaching methods, teaching management, with the deepening of reform, educational evaluation is more and more taken the extensive attention of educational leadership and the education sector. Training is a fundamental task of universities; the quality of personnel training decided the future of college. The training of college have two parts: one is The theoretical teaching is to construct a reasonable knowledge structure, the other through experimental teaching, the students take theory of knowledge into working abilities. Therefore, how to scientific and reasonable evaluate the experimental teaching is particularly important.Through by analyzing the situation of experiment center, this paper builds a new model of teaching quality evaluation and establishes the right with AHP. Introduces several kind of quality of teaching assessment method, the data mining, the rough collection theory and Association Rules, elaborated basic principles and steps based on rough set theory with association rules, detailed description of the use rough collection difference matrix carries on the attribute reduction to the data, the process of mining with improved association rules algorithm, and applies in the quality of experiment teaching. Analysis evaluation data and adjust the weight of teaching quality evaluation model, and get the potential relationship between teaching evaluation and score of students experiment.In recent years, data mining is widely used in various fields, for example: Business and financial industries etc. But, data mining application in the experimental teaching is still relatively little. This paper tries to improve the association rule mining with rough set which applied to the experimental teaching evaluation. 2008 ~2010 years’data of experimental center in Xi’an University were analyzed. Present a common problem for mining association rules is low efficiency of the algorithm, rules with greater redundancy and users are interested in only part of the rules. Therefore, rough set theory with the association rule to mining data; get the interested Rules from vast amounts of data is practical significance.

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