Training Model of Innovative Talents in Physical Education Major

Authors

  • Bo Yang Department of Physical Education and Research, Heilongjiang Bayi Agricultural University, Daqing 163319, China

DOI:

https://doi.org/10.3991/ijet.v15i24.19035

Abstract


In the major of physical education (PE), there are several problems with the training model of innovative talents: the model implementation is affected by numerous factors, the training strategies are unclear, and the measurement of the training effect is highly uncertain. To solve these problems, this paper explores deep into the training model of innovative talents in PE major, through both theoretical analysis and calculation modeling. Firstly, the es-sence of innovative talent training in PE major was summarized, and the training strategies were put forward. On this basis, a measurement model for the training effect was established, based on analytic hierarchy process (AHP) and extenics theory. The research results provide strong supports to the training of innovative talents in PE major.

Author Biography

Bo Yang, Department of Physical Education and Research, Heilongjiang Bayi Agricultural University, Daqing 163319, China

Bo Yang, graduated from Chengdu Sport University with a master's degree, majoring in physical education and training. Yang Bo is now a teacher and lec-turer in the Sports Teaching and Research Department of Heilongjiang Bayi Agri-cultural University, mainly engaged in the teaching of university PE courses, and concurrently serving as the head coach of the swimming team of Heilongjiang Bayi Agricultural University. During the 2008-2020 period as the head coach, the team members had won 2 gold medals, 1 silver medal and 4 bronze medals in the University Games of Heilongjiang Province. Yang Bo had published 12 provin-cial-level papers and 1 monograph, and had 1 patent for utility models.

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Published

2020-12-22

How to Cite

Yang, B. (2020). Training Model of Innovative Talents in Physical Education Major. International Journal of Emerging Technologies in Learning (iJET), 15(24), pp. 176–190. https://doi.org/10.3991/ijet.v15i24.19035

Issue

Vol. 15 No. 24 (2020)

Section

Papers

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