Application of the ADDIE Model in the Teaching Practice of Basketball Skills-Reference-Cited by-同舟云学术

Application of the ADDIE Model in the Teaching Practice of Basketball Skills

Published:2023-06-06 Issue:2 Volume:8 Page:1993-2002
ISSN:2444-8656
Container-title:Applied Mathematics and Nonlinear Sciences
language:en
Short-container-title:

Author:

Gong Wei¹

Affiliation:

1. 1 Department of College Basic Courses , Anhui Technical College of Mechanical and Electrical Engineering , Wuhu, Anhui , , China

Abstract

Abstract This paper establishes a mathematical model of basketball sports based on an ADDIE model. This paper takes basketball players’ pitching as the research object. Then use the ADDIE model method to analyze the best angle of the goal to improve the accuracy of basketball throwing. Firstly, this paper establishes the dynamic model of basketball movement and then shows the equation of basketball movement trajectory. Then this paper uses the ADDIE model to optimize and solve the best angle of basketball. At the same time, this paper proposes a motion control of basketball rotation motion using adaptive trajectory correction technology. Finally, this paper analyzes the optimal angle of a basketball's rotation projection. The numerical simulation proves that it is feasible to use the ADDIE model to solve the optimal angle of the basketball's rotating body. The method proposed in this paper achieves good results in angle correction and trajectory tracking. This method has a good application prospect in establishing the rotational projection motion model of sports tourism basketball.

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.2023.1.00303

Reference13 articles.

1. Yang, Y. (2021). Research on basketball sports neural network model based on nonlinear classification. Journal of Intelligent & Fuzzy Systems, 40(4), 7567-7576.

2. Dan, J., Zheng, Y., & Hu, J. (2022). Research on sports training model based on intelligent data aggregation processing in internet of things. Cluster Computing, 25(1), 727-734.

3. Gençoğlu, M. T., & Agarwal, P. (2021). Use of quantum differential equations in sonic processes. Applied Mathematics and Nonlinear Sciences, 6(1), 21-28.

4. Rezapour, J., & Afzali, P. (2020). Rollover avoidance in sport utility vehicles: a multi-criteria viewpoint. Automotive Science and Engineering, 10(3), 3357-3368.

5. Asselin, P. D., Gu, Y., Merchant-Borna, K., Abar, B., Wright, D. W., Qiu, X., & Bazarian, J. J. (2020). Spatial regression analysis of MR diffusion reveals subject-specific white matter changes associated with repetitive head impacts in contact sports. Scientific reports, 10(1), 1-12.