Bayesian Classifier in the Overall Quality of Student Evaluation

Conference paper

Abstract

College Graduates’ Teaching Quality Assessment is a very important part of understanding how students have graduated. The overall quality of graduates is evaluated from a large amount of data. The key factors and internal relations are to examine and improve teaching effectiveness which is an important way of improving teaching quality. Through the K2 algorithm, a Bayesian network is established to evaluate overall quality of vocational college graduates; this is a prediction model. The application of this model for vocational students in school enhances the quality of all aspects of proposals for the vocational college teaching management and reforms of education to provide decision support.

Keywords

Bayesian networks Comprehensive quality Correlation analysis K2 algorithm 

Notes

Acknowledgments

This work is supported by the Education Research Project of Anhui Province Education Department of China under Grant No. 2008jyxm571.

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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Anhui Business Vocational CollegeHefeiChina

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