摘要
通过对已毕业学生综合信息的深入研究,构建出高职学生综合素质的贝叶斯网络预测模型,将概率统计应用到学生综合素质的分析和预测之中。利用该模型分析了高职学生的基本素质、英语水平和专业技能等因素与毕业时综合素质之间的内在关联,构建出毕业生综合素质贝叶斯网络结构图。该模型的应用,可以成功预测学生的当前状态对毕业时综合素质的影响,为高职学生在校期间各方面素质的提升提出合理建议,为高职院校的教育教学管理和改革提供决策支持。
Based on comprehensive information of graduated students,the article aims to construct Bayesian network prediction model of vocational students＇ comprehensive qualities,and apply the probability and statistics to the analysis and forecast of students＇ comprehensive qualities.With the model,the article analyzes connections between higher vocational students＇ basic quality,English level,professional skills and comprehensive quality when they graduate;it also constructs Bayesian network structure of graduates＇ comprehensive quality.The application of the model can successfully predict how the current state of the students affects their comprehensive quality,gives reasonable suggestions about how to improve their quality in all aspects,and provides support for education reform and teaching management in higher vocational colleges.
出处
《宿州学院学报》
2011年第5期96-99,共4页
Journal of Suzhou University
基金
安徽省高等学校省级教学研究项目(2008jyxm571)
关键词
贝叶斯网络
关联分析
综合素质
分类和预测
bayesian network
correlation analysis
comprehensive quality
classification and prediction
