Research on Project-Based Teaching Quality Evaluation Based on Fuzzy Cluster Analysis

被引：0

作者：

Gou, Pingzhang ^{[1
]}

Song, Shanshan ^{[1
]}

机构：

[1] Northwest Normal Univ, Coll Comp Sci & Engn, Lanzhou, Peoples R China

来源：

14TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND EDUCATION (ICCSE 2019) | 2019年

关键词：

project - based teaching; fuzzy equivalence relation; clustering algorithm; evaluation of teaching quality;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In view of the traditional teaching quality evaluation method is not applicable to project of teaching quality evaluation problem, taking the "scientific computation and visualization" in the "Python Language Programming" course as an example, the project is divided into five sub-projects, re-construct the teaching quality evaluation system including 4 first-level indicators such as teaching attitude, teaching method, teaching content and teaching effect. It also includes 24 second-level indicators. Through the questionnaire survey of project quality teaching, the fuzzy clustering method is used to cluster the survey results, which gives the corresponding evaluation. The feasiuility and effectiveness of fuzzy clustering method in analyzing the quality of project teaching are verified.

引用

页码：826 / 829

页数：4

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