[1]刘晓雲,刘鸿雁,李劲松,等.基于多元线性回归的学生成绩预测研究[J].计算机技术与发展,2022,32(03):203-208.[doi:10. 3969 / j. issn. 1673-629X. 2022. 03. 034]
　LIU Xiao-yun,LIU Hong-yan,LI Jin-song,et al.Research on Student Achievement Prediction Based on Multiple Linear Regression[J].,2022,32(03):203-208.[doi:10. 3969 / j. issn. 1673-629X. 2022. 03. 034]
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基于多元线性回归的学生成绩预测研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
32
期数:
2022年03期
页码:
203-208
栏目:
应用前沿与综合
出版日期:
2022-03-10

文章信息/Info

Title:
Research on Student Achievement Prediction Based on Multiple Linear Regression
文章编号:
1673-629X(2022)03-0203-06
作者:
刘晓雲1 ; 刘鸿雁1 ; 李劲松2 ; 王冠帮1
1. 渤海大学 教育科学学院,辽宁 锦州 121000;
2. 渤海大学 信息科学与技术学院,辽宁 锦州 121000
Author(s):
LIU Xiao-yun1 ; LIU Hong-yan1 ; LI Jin-song2 ; WANG Guan-bang1
1. School of Education Science,Bohai University,Jinzhou 121000,China;
2. School of Information Science and Technology,Bohai University,Jinzhou 121000,China
关键词:
成绩预测; 教育数据挖掘; 线性回归; 教学质量; 显著性检验
Keywords:
achievement prediction; educational data mining; linear regression; teaching quality; significance test
分类号:
TP305;G420
DOI:
10. 3969 / j. issn. 1673-629X. 2022. 03. 034
摘要:
随着数据挖掘技术在教育领域的深入应用,使得成绩预测成为改进教学质量的重要手段之一。 对学生进行成绩预测,可以督促学生提高学习效率以及鞭策教师改进教学质量,更好地完善教学,达到最佳效果。 但在目前研究中,虽然对成绩预测应用已十分广泛,但是多是基于学生全部成绩对某门课程成绩的预测,忽略了成绩预测的时效性。 因此提出基于多元线性回归方法构建一年级成绩预测毕业成绩的预测模型。 以某学校计算机应用专业的学生课程成绩为研究对象,构建相应的多元线性回归预测模型。 通过大量实验以及检验证明,利用一年级成绩预测毕业成绩可行,并且构建的成绩预测模型具有极高的预测精度,可以为改进教学方案提供参考信息,有助于提高学校的教学质量和学生的学习效果。
Abstract:
With the deep application of data mining technology in the field of education,achievement prediction has become one? ? ?of the important means to improve the teaching quality. The prediction of students爷 performance can urge students to improve their learning efficiency and urge teachers to improve their teaching quality,so as to better improve teaching and achieve the best results. However,in the current research,although the application of grade prediction has been very extensive, most of them are based on the whole score of students to predict the grade of a certain course, ignoring the timeliness of grade prediction. Therefore, a prediction model based on multiple linear regression is proposed to predict the graduation scores of the first grade. A multivariate linear regression prediction model was established based on the course performance of students majoring in information and computing science in a certain school. Through a large number of experiments and tests,it has been proved that it is feasible to use the grades of freshmen to predict the graduation grades,and the prediction model built has a very high prediction accuracy,which can provide reference information for improving the teaching scheme,and help to improve the teaching quality of the school and the learning effect of students.

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更新日期/Last Update: 2022-03-10