Abstract
Since the 1940s, with the rapid development of computer science and technology, Mathematics and Other Industries Are Increasingly Closely Linked, The Application of Mathematics Has becomes an important task of mathematics education. Mathematical modeling is a bridge that combines pure mathematical knowledge with real life, and is an important way to cultivate mathematical ability. The cognitive mechanism and teaching strategy of mathematical modeling have not been deeply studied at present. The research on this problem is helpful to enrich the theory of mathematical learning psychology, develop the theory of mathematical problem-solving, deepen the theory of mathematics teaching, provide theoretical basis and practical guidance for solving problems in mathematical modeling and applied mathematics teaching, and improve the effect of mathematics and teaching. This has important theoretical significance and practical value. How to apply computer network programming technology to applied mathematics has become a hot topic in recent two years. This paper uses the method of literature review and questionnaire survey to find that many people do not have a good understanding of mathematics. Modeling. It seems that although the course may have the requirements of mathematical modeling, more than half of the students in each class still don’t know what mathematical modeling is. Some students understand mathematical modeling as a way to turn mathematical problems into life, putting the cart before the horse. The unknown proportion of high school students is as high as 71%. Even many 19th graders have never heard of mathematical models.
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Acknowledgements
Scientific Research Foundation of the Education Department of Jiangxi Province (JXJG-17-27-13); Teaching reform project of Nanchang Institute of Science & Technology (NGJG-17-25).
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Xu, C. (2021). Application of Computer Network Programming Technology in Applied Mathematical Algorithm. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1342. Springer, Cham. https://doi.org/10.1007/978-3-030-70042-3_22
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