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Research on the Training Mode of Intelligent Sports Engineering Professionals

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DOI: 10.23977/aduhe.2023.050313 | Downloads: 12 | Views: 398

Author(s)

Zhanfeng Sun 1, Lei Geng 2, Nan Zhang 2

Affiliation(s)

1 Department of Aviation and Sports, Aviation University of Air Force, Changchun, China
2 Jilin Sport University, Changchun, China

Corresponding Author

Lei Geng

ABSTRACT

With the continuous development of science and technology in recent years, artificial intelligence has gradually entered various fields of sports such as competitive sports, social sports, school sports, and has played an important role in leading the scientific and technological development of sports. With the rapid development of intelligent sports, professional and technical talents of intelligent sports engineering are urgently needed. Therefore, under the larger market demand, the intelligent sports engineering specialty is also born, and talent training has been carried out in fewer universities. In order to better build and develop the specialty of intelligent sports engineering, this study analyzes the talent training of the specialty of intelligent sports engineering. By using research methods such as literature and expert interviews, and drawing on the relatively mature talent training system and training mode of artificial intelligence and other related majors, this paper discusses the training mode of intelligent sports engineering professionals in colleges and universities, mainly expounds the necessity of setting up intelligent sports engineering specialty, and comprehensively analyzes the teaching concept, curriculum system, teaching method, faculty strength, evaluation method, etc. of intelligent sports engineering specialty, The purpose is to provide some theoretical reference for the future development of intelligent sports engineering professional training.

KEYWORDS

Intelligent sports engineering, talent training mode, artificial intelligence, output orientation, practical ability training

CITE THIS PAPER

Zhanfeng Sun, Lei Geng, Nan Zhang, Research on the Training Mode of Intelligent Sports Engineering Professionals. Adult and Higher Education (2023) Vol. 5: 86-93. DOI: http://dx.doi.org/10.23977/aduhe.2023.050313.

REFERENCES

[1] Hou Qun, Qi Weimin. Exploration of the cultivation mode of artificial intelligence professionals integrated with industry and education. Modern Information Technology, 2019 (22): 183-186.
[2] Zheng Fang, Xu Weikang. Smart Sports in China: Rise, Development and Countermeasures, Sports Science, 2019, 39 (12): 14-24.
[3] Yang Kaifang, Ma Miao, Huang Cong. Overview of the development of intelligent sports engineering, Computer Technology and Development, 2021, 31 (3): 1-7.
[4] Bao Mingxiao, Qiu Xue, Wu San, Zhao Yilong. Several basic theoretical issues on accelerating the construction of a powerful sports country -- based on the report of the 19th CPC National Congress, the strategic issues of the overall development of sports are put forward, Journal of Beijing Sport University, 2018, 41 (02): 1-6+16.
[5] Cao Yu, Liu Zheng. The value, dilemma and countermeasures of AI application in sports, Sports Culture Guide, 2018, (11): 31-35.
[6] Wang Jin, Zhou Xiaobing, Pu Yuanyuan, etc. The exploration and practice of artificial intelligence talents training mode oriented to capacity output_ Wang Jin, Computer Education, 2021, (4): 164-168.
[7] Cheng Keyang, Meng Chunyun, Zhan Yongzhao. Exploration of the new mode of "artificial intelligence+" talent training, Computer Education, 2019, (12): 68-71+75.
[8] Wang Lujin, Pei Ruimin. Research on artificial intelligence talent training mode based on industry- university- research cooperation _ Wang Lujin, Chinese scientific and technological talents, 2021, (4): 42-53.
[9] Cai Hongjuan. Exploration and practice of artificial intelligence talent training mode under the background of new engineering. Education and Teaching Forum, 2022, No. 591 (40): 107-110.
[10] Huang Beibei, Qian Xiaolong. Exploring the mystery of AI talent training in world-class universities -- A holistic analysis of Stanford University's AI talent training model. Tsinghua University Education Research, 2022, 43 (03): 33-41.

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