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基于貝葉斯網絡模型的學生成績預測研究

發表時間:2018-01-15? 瀏覽量:1853? 下載量:444
全部作者: 張素花,譚子健,周靜靜,趙東方
作者單位: 華中師范大學數學與統計學學院
摘 要: 首先,根據主成分分析法對數據進行篩選,得到影響學生學業成績的主要因素;其次,根據貝葉斯統計理論建立貝葉斯預測模型,并利用五年級部分數據作為訓練數據,從而對五年級6班學生的學業成績進行預測;最后,對預測結果進行分析。預測結果中學生學業成績的等級與實際成績等級比較吻合,表明用貝葉斯模型預測學生的學業成績是可行的。該研究結果可為教師和家長提供一些建設性建議。
關 鍵 詞: 數理統計學;成績預測;貝葉斯網絡模型;主成分分析;Matlab程序
Title: Prediction of students’ performance based on Bayesian network model
Author: ZHANG Suhua, TAN Zijian, ZHOU Jingjing, ZHAO Dongfang
Organization: School of Mathematics and Statistics, Central China Normal University
Abstract: Firstly, according to the method of principal component analysis, the main factors that affect students’ academic performance are selected. Secondly, the Bayesian prediction model is established according to Bayesian statistical theory, and some data from grade 5 are used as training data, then the students’ academic performance prediction of class 6, grade 5 is achieved. Finally, the forecast results are analyzed. The student’s academic performance in forecast grade and in actual grade are coincided. The results show that the Bayesian prediction model is feasible for the prediction of student’s academic performance and provides some constructive suggestions for the education of teachers and parents.
Key words: mathematical statistics; performance prediction; Bayesian network model; principal component analysis; Matlab program
發表期數: 2018年1月第1期
引用格式: 張素花,譚子健,周靜靜,等. 基于貝葉斯網絡模型的學生成績預測研究[J]. 中國科技論文在線精品論文,2018,11(1):28-32.
 
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