The Study of Applying Non-Linear Canonical Correlation Analysis and Genetic Algorithm to Learning Performance.
碩士 === 大葉大學 === 工業工程與科技管理學系 === 96 === The purpose of this research is to explore the relationship between teaching and learning performance and educational goal of a department for fulfillment of Institute of Engineering Education Taiwan. This research applies the nonlinear canonical correlation an...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2008
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| Online Access: | http://ndltd.ncl.edu.tw/handle/44619092805381891639 |
| Summary: | 碩士 === 大葉大學 === 工業工程與科技管理學系 === 96 === The purpose of this research is to explore the relationship between teaching and learning performance and educational goal of a department for fulfillment of Institute of Engineering Education Taiwan. This research applies the nonlinear canonical correlation analysis ( NLCCA ) incorporated with the Cobb-Douglas function to analyze the relationships among four latent traits: curriculum design, learning achievements, the satisfaction of teachers and achieves of the central ability of students. The solving procedure was implemented by the genetic algorithm in order to reduce the complexity of finding solutions. The results were also compared with the results obtaining from using traditional linear canonical correlation analysis. The results shows that using nonlinear canonical correlation analysis is a robust approach to analyze educational accreditation data .
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