Location:Home / Journals / Article Detail

Journal of Applied Mathematics and Computation


PDF Download

Research on Improving the Quality of Linear Algebra Teaching Based on Teaching Evaluation

Yuhui Ma

Geely University of China, Chengdu, Sichuan, China.

*Corresponding author: Yuhui Ma

Date: October 31,2023 Hits: 285


Linear algebra is a very important branch of mathematics that provides powerful tools for multiple disciplines and fields to help us understand and solve a variety of complex real-world problems. Therefore, learning and mastering linear algebra is essential for success in science, engineering, and technology. This paper explores strategies to improve the quality of linear algebra teaching through teaching evaluation methods. Both quantitative methods like analyzing student grades and test performance, and qualitative methods like student feedback are used. The data is integrated to identify problems and develop solutions. Strategies include optimizing course content by focusing on key concepts, increasing practical application cases; innovating teaching methods through blended learning and group work; and personalized teaching with flexible learning paths and targeted tutoring. Regular evaluation of teaching effectiveness and continuous adjustment of strategies are emphasized. The aim is to motivate students, deepen understanding, and enhance learning outcomes. This study provides valuable experience for improving STEM education quality through data-driven teaching evaluation and adjustment.


[1] Veale A J, Craig T S. Design principles for final answer assessment in linear algebra: implications for digital testing [J]. Teaching Mathematics and its Applications: An International Journal of the IMA, 2022(4):4. DOI:10.1093/teamat/hrac002.

[2] Mutambara L H N, Bansilal S. A case study of in-service teachers' errors and misconceptions in linear combinations [J]. International journal of mathematical education in science and technology, 2022. DOI:10.1080/0020739X.2021.1913656.

[3] Ziatdinov R, Valles J J R. Synthesis of Modeling, Visualization, and Programming in GeoGebra as an Effective Approach for Teaching and Learning STEM Topics [J]. Mathematics, 2022, 10.DOI:10.48550/arXiv.2202.01415.

[4] Pierce R. Linear Functions and A Triple Influence of Teaching on the Development of Students' Algebraic Expectation [J]. 2022.

[5] Hord C. Middle and high school math teaching for students with mild intellectual disability [J]. Support for Learning, 2022, 38(1):4-16. DOI:10.1111/1467-9604.12425.

Full-Text HTML

Research on Improving the Quality of Linear Algebra Teaching Based on Teaching Evaluation

How to cite this paper: Yuhui Ma. (2023) Research on Improving the Quality of Linear Algebra Teaching Based on Teaching Evaluation. Journal of Applied Mathematics and Computation7(3), 387-391.

DOI: http://dx.doi.org/10.26855/jamc.2023.09.009