364
Views
1
CrossRef citations to date
0
Altmetric
Articles

Raising student motivation and interest in football through rich media platforms: the experience of China

Pages 572-584 | Received 29 May 2022, Accepted 13 Jun 2022, Published online: 26 Jun 2022
 

ABSTRACT

Under the current information technology development and social interaction digitalization, China shows an increasing interest in the possibilities of digital solutions improving the effectiveness of pedagogical processes when forming and developing sports competencies and skills in football players. The present article is devoted to the study of the influence of a digital game-based learning environment on the development of young football players’ tactical thinking skills, football interest, and motivation to play it. The study offers an innovative football training model based upon the synergy of virtual (eFootball PES 2021 and SkillShare platforms) and real experiences. Testing of the developed model was carried out on the example of young football players (10–12 years) studying at the X sports school. The conducted educational experiment revealed the benefits of introducing game simulation in football training. The experiment results showed that game simulation and group participation in virtual football matches in eFootball PES 2021 helped master basic football techniques, facilitated the acquisition of competitive experience, fostered a culture of teamwork and camaraderie, and contributed to the rise of conscientiousness and self-discipline.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 296.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.