| This thesis focus on building a new teaching quality evaluation modeland implementing it by using software engineering methods. On the basis of the fundamental concepts such as clustering, clustering algorithms, fuzzy set theory and fuzzy clustering, system clustering algorithm, k-means algorithm and Fuzzy C-Means Clustering (FCM) algorithm are analyzed.To improve the existing teaching quality evaluation model, a new evaluation model is proposed. According to the architecture-based software developing process, the evaluation system is constructed via system planning and analysis, system architecture, system design and system implementation. Furthermore, the model is verified in practice. The characteristics and innovations of this thesis concern two aspects:First, the current commonly used two-stage fuzzy comprehensive evaluation is in-depth analyzed and improved, that is, the scores of factors and secondary scoring is calculated, and then how to use cluster analysis methods for improving the evaluation model is analyzed. On this basis, a new evaluation model based on fuzzy clustering is proposed,and then the improvement process of evaluation model is summarized. Using cluster analysis for improving the teaching quality evaluation model is a new attempt. No research has been found in this field.Second,several new software engineering ideas are used in the system design and development, such as the use-case driven, system architecture, software architecture, UML-based system design and so on. All of them are the potential clues and characteristics in the latter part of this thesis.This thesis originated from practical requirements in education systems.The use of complex models of teaching quality evaluation system will replace the traditional manual scoring and averaging. It is of great social and economic significance with the research on the evaluation model and the development of the evaluation system which satisfy practical requirements. |
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