Dichotomy model based on the finite element differential equation in the educational informatisation teaching reform model-Reference-Cited by-同舟云学术

Dichotomy model based on the finite element differential equation in the educational informatisation teaching reform model

Published:2021-11-22 Issue:0 Volume:0 Page:
ISSN:2444-8656
Container-title:Applied Mathematics and Nonlinear Sciences
language:en
Short-container-title:

Author:

Yin Wei¹,Alassafi Madini O.²

Affiliation:

1. Department of Training Service , Nanjing Institute of Tourism and Hospitality , Nanjing , China

2. Department of Information Technology, Faculty of Computing and Information Technology , King Abdulaziz University , Jeddah , Saudi Arabia

Abstract

Abstract The dichotomy model of education informatisation is essential, which means the measurement of education informatisation construction and development. Finite element differential equations play an essential role in signal and information teaching. To improve teaching information, the paper applies the dichotomy model of finite element differential equations to the reform of physics education information teaching. This article fully introduces the basic principles of the dichotomy model in finite element differential equations and introduces several analysis methods of the inverse Laplace transform of differential equations. At last, the method is applied to the informatisation of physics education to improve the quality of teaching.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Link

https://www.sciendo.com/pdf/10.2478/amns.2021.2.00099

Reference13 articles.

1. Kornilov, V. S., & Rusinov, A. S. Development of information culture of students when teaching equations of mathematical physics in the conditions of informatization of education. RUDN Journal of Informatization in Education., 2021. 18(1): 81–87.

2. Wang, W., & Mandal, D. Research on the construction of teaching platform of drama film and television literature based on IoT. Journal of Intelligent & Fuzzy Systems, 37(3): 3417–3424.

3. Lv, S., & Pan, Y. Research on the Spatial Distribution Difference of Compulsory Education between China and Australia. International Journal of Emerging Technologies in Learning (iJET)., 2020. 15(4): 129–141.

4. Vlasenko, K. V., Grudkina, N. S., Chumak, O. O., & Sitak, I. V. Methodology of computer-oriented teaching of differential equations to the students of a higher technical school. Information Technologies and Learning Tools., 2019. 74(6): 127–137.

5. Yue, C., & Xu, X. Review of Quantitative Methods Used in Chinese Educational Research, 1978–2018. ECNU Review of Education., 2019. 2(4): 515–543.