摘要
学生成绩是教学评估的一项重要衡量指标,考虑学生考试成绩特点提出了一种基于试卷难度系数变化的GM(1,1)修正模型,并运用此模型对花溪一中考试成绩进行预测,实践证明该修正模型能减少误差,提升预测精度。
Student score is an important index of teaching evaluation. A modified model GM( 1,1) based on examination difficulty coefficient was proposed according to the characteristics of test scores. The modified model was used to predict the test scores of students from Huaxi No. 1 Middle School. Results show that the modified model is able to reduce errors and improve the prediction precision.
引文
[1]COHEN J,COHEN P,WEST S G,et al.Applied multiple regression/correlation analysis for the behavioral sciences[J].Journal of the Royal Statistical Society,2003,52(4):691.
[2]杨华龙,刘金霞,郑斌.灰色预测GM(1,1)模型的改进及应用[J].数学的实践与认识,2011,41(23):39-46.
[3]李梦婉,沙秀艳.基于GM(1,1)灰色预测模型的改进与应用[J].计算机工程与应用,2016,52(4):24-30.
[4]罗党,刘思峰,党耀国.灰色模型GM(1,1)优化[J].中国工程科学,2003,5(8):50-53.
[5]何瑞林.中考试卷难度系数7:2:1[N].扬州日报,2008-06-13(A03).