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Problems and Path Reconstruction of Physical Education Talent Cultivation in the Context of the Digital Economy

Author(s)

Yi Gu

Affiliation(s)

School of Physical Education, Jianghan University, Wuhan, Hubei, China

Abstract

The development of the digital economy presents new challenges for the cultivation of talents in physical education programs in higher education institutions. This paper analyzes the requirements for physical education talent cultivation in the context of the digital economy, including solid professional knowledge and skills, proficiency in digital technology application, new media operation capabilities, intelligent equipment operation abilities, innovative thinking and creativity, teamwork and communication skills, and a lifelong learning mindset. The paper also draws on successful applications of digital economy teaching in various Chinese universities, such as Peking University's "Digital Sports" course, Nanjing Sport Institute's "Integration of Sports and Education," Hunan Railway Science and Technology Vocational College's "Campus Sunshine Fitness Run," Beijing Sport University's "Virtual Football Tactical Simulation," Guangzhou Sport University's "Online Sports Dance Competition," and Shenzhen University's "Sports Simulation Game Classroom." The analysis identifies existing problems such as insufficient digitization of teaching resources, lack of digital innovation in practical teaching segments, weak integration of course design with the digital economy, inadequate cultivation of students' digital learning abilities, limited investment in digital equipment and facilities, and knowledge anxiety caused by rapid technological updates. The paper proposes ways to improve the cultivation model for physical education talents in the context of the digital economy: optimizing the curriculum system, enhancing teaching methods and resources, strengthening faculty development, and improving research and innovation capabilities.

Keywords

Digital Economy; Physical Education Programs; Talent Cultivation; Case Studies; Path Reconstruction

References

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