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Mathematical Analysis of the Relationship between College Entrance Exam Scores and Information and Computing Science Discipline Performance in a Chinese University

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DOI: 10.23977/tracam.2023.030103 | Downloads: 16 | Views: 514

Author(s)

Bing Hao 1, Huan Luo 1, Fubin Chen 1

Affiliation(s)

1 Oxbridge College, Kunming University of Science and Technology, Kunming, 650106, China

Corresponding Author

Bing Hao

ABSTRACT

This article uses multiple regression analysis methods and canonical correlation analysis, combined with the college entrance examination scores and partial discipline scores in the first three years of university for students majoring in Information and Computing Science in a certain university. We separately analyze the connection between the college entrance examination and university discipline scores, and compare the advantages and disadvantages of the two methods. We hope to quantitatively analyze the transmission and extension of subject knowledge at different stages from a mathematical perspective, and also promote the practical application value of mathematics, providing more people with inspiration and thought on mathematics.

KEYWORDS

Multiple regression analysis, canonical correlation analysis, correlation coefficient, college entrance examination score, discipline score

CITE THIS PAPER

Bing Hao, Huan Luo, Fubin Chen, Mathematical Analysis of the Relationship between College Entrance Exam Scores and Information and Computing Science Discipline Performance in a Chinese University. Transactions on Computational and Applied Mathematics (2023) Vol. 3: 18-25. DOI: http://dx.doi.org/10.23977/tracam.2023.030103.

REFERENCES

[1] Wei Z.S. (1993). Course of Probability Theory and Mathematical Statistics. Higher Education Press. 
[2] Wu Z.H., Feng D.M., Wei Z.C. (2008). Education Administration. (2nd Edition). East China Normal University Press.
[3] Su B., Xie Y.Q. (2006). Application of Statistical Analysis in Student Performance Evaluation. Systems Engineering Theory and Practice .7. 134-140.
[4] Cheng G. W., Chen Q. S., Li W.F. (2002). Canonical Correlation Analysis Method for Researching and Analyzing Students' On-Campus Performance. Journal of Wuhan University of Science and Technology (Social Science Edition). 4 70-74.
[5] Tan J.B., Guo Q., Li M. L. (2020). Analysis of Students' Performances Based on R Language. Journal of Changchun Normal University. 8.6-12.
[6] Gao H. X. (2002). Practical Statistical Method and SPSS System. Peking University Press.
[7] Liu H.S. (2003). Application of Multivariate Statistical Analysis in Comprehensive Evaluation of Student Performance. Journal of North China University of Science and Technology.1. 77-79.
[8] Yang Y.Y. (2021). Application Research of Multivariate Regression Analysis in the Performance Analysis of Senior Two Arts Students. College Entrance Examination. 29. 109-110.
[9] Zhong T., Gu Q.Y. (2020). Research on the Application of Multivariate Statistical Analysis in University Student Performance Evaluation. China Education Technology Equipment, 4. 110-111+114.
[10] Sun Q., Ca Z.L. (2020). Regression Analysis of Influencing Factors of College Mathematics Scores. Journal of Hubei Normal University (Natural Science Edition). 40 (03) 80-83.
[11] Tong L., Yao J. (2003). Research on Canonical Correlation Analysis Method of Relationship between Undergraduate Basic Courses and Professional Courses. Journal of Shanghai University of Science and Technology (Social Science Edition). 2. 70-73.

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