Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 1


Published
on

June 21, 2023


Pages

2549-2556


DOI

Article

Statistical Analysis of Advanced Mathematics Teaching Quality Evaluation Based on Quantile Regression Model


Authors

Junying Chen Affiliation:
College of Science, Hebei Agricultural University, Baoding, Hebei, 071001, China.
, Haoyu Zeng Affiliation:
College of Science, Hebei Agricultural University, Baoding, Hebei, 071001, China.
and Lijuan Wang Affiliation:
College of Science, Hebei Agricultural University, Baoding, Hebei, 071001, China.


Abstract

To understand the quantile regression model, research on a statistical analysis of advanced mathematics teaching quality evaluation was proposed. In the research, based on the test bank and questionnaires, statistical analysis was applied to examine the quality of the test bank and investigate the factors affecting the teaching quality, to understand the students’ scores, find the main factors affecting the teaching quality and use them to analyze the students’ learning status and learning quality. This will help teachers understand and grasp the students’ learning process and improve their teaching ability. And it can provide a theoretical basis for qualitative and quantitative analysis to further improve the high quality.


Keywords

regression model, advanced mathematics, teaching quality, 03C05


Citation

Chen, J., Zeng, H., & Wang, L. (2023). Statistical analysis of advanced mathematics teaching quality evaluation based on quantile regression model. Applied Mathematics and Nonlinear Sciences, 8(1), 2549–2556. https://doi.org/10.2478/amns.2023.1.00435

Published by: Engineering Journals

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