Education, Science, Technology, Innovation and Life
Open Access
Sign In

Application of Computer Aided Teaching Software in Football Tactics

Download as PDF

DOI: 10.23977/jsoce.2022.040711 | Downloads: 10 | Views: 495

Author(s)

Jiaqi Yao 1, Quan Luo 1

Affiliation(s)

1 School of Physical Education, Hunan University of Arts and Science, Changde, Hunan, 415000, China

Corresponding Author

Quan Luo

ABSTRACT

With the development of science and technology, teaching methods are constantly innovating. In the field of football teaching, the multimedia football teaching model has become the new mainstream of football teaching. How to make the teaching effect of football tactics better is a problem to be solved at present. Based on the analysis of the shortcomings of computer-assisted teaching and traditional football teaching methods, this paper selects students from the football class of a college physical education college as the research object through a questionnaire survey and experimental methods, and conducts football tactics teaching in different ways, and concludes that the computer auxiliary teaching software used in football teaching can mobilize students' learning enthusiasm and improve their learning efficiency.

KEYWORDS

Computer-assisted Teaching Software, Football Tactics, College Football, Application Effects

CITE THIS PAPER

Jiaqi Yao, Quan Luo, Application of Computer Aided Teaching Software in Football Tactics. Journal of Sociology and Ethnology (2022) Vol. 4: 79-85. DOI: http://dx.doi.org/10.23977/jsoce.2022.040711.

REFERENCES

[1] Garcia-Cebrian L I, Zambom-Ferraresi F, Lera-Lopez F. Efficiency in European football teams using WindowDEA. Analysis and evolution. International Journal of Productivity and Performance Management, 2018, 67(9):00-00.
[2] Leontijevic B, Jankovic A, Tomic L. Tactics of attack of football teams in the Champions League knockout phase in seasons of 2015/2016 and 2016/2017. Fizicka kultura, 2017, 71(2):137-144.
[3] Rahimi A A, Mouri S. The impact of computer-assisted language learning on Iranian EFL students' vocabulary learning. Global Journal of Foreign Language Teaching, 2016, 6(4):210.
[4] Handley Z. Replication research in computer-assisted language learning: Replication of Neri et al. (2008) and Satar and zdener (2008). Language Teaching, 2017, 51(3):417-429.
[5] Mathiowetz V, Yu C H, Quake-Rapp C. Comparison of a gross anatomy laboratory to online anatomy software for teaching anatomy. Anatomical Sciences Education, 2016, 9(1):52-59.
[6] Zhuhadar L, Carson B, Daday J, et al. Computer-Assisted Learning Based on Universal Design, Multimodal Presentation and Textual Linkage. Journal of the Knowledge Economy, 2016, 7(2):373-387.
[7] Sun Y, Tian M. Research and Practice of Computer-assisted Japanese Intensive Reading Education. Journal of Physics: Conference Series, 2020, 1648(3):032164 (5pp).
[8] Elawady M, Bayomy H, Awadi M E, et al. Computer-based medical education in Benha University, Egypt: knowledge, attitude, limitations, and suggestions. J Egypt Public Health Assoc, 2016, 91(4):179-184.
[9] Brau R I, Gardner J W, Webb G S, et al. Teaching Plan-Do-Study-Act (PDSA) in a Supply Chain Context: A Paper Football In-Class Activity. Decision Sciences Journal of Innovative Education, 2019, 17(1):6-32.
[10] Chen Z, Chen Q. Optimization of Teaching Evaluation System for Football Professional Teachers Based on Multievaluation Model. Complexity, 2021, 2021(19):1-13.
[11] Ernest, L, Abel. Football Increases the Risk for Lou Gehrig's Disease, Amyotrophic Lateral Sclerosis. Perceptual and Motor Skills, 2016, 104(3_suppl):1251-1254.
[12] Kelley, ME, Urban, et al. Head Impact Exposure in Youth Football: Comparing Age- and Weight-Based Levels of Play. J Neurotraum, 2017, 2017, 34(11):1939-1947.

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.