Internship Effect Prediction for Physical Education Majors Based on Artificial Neural Network

Authors

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

DOI:

https://doi.org/10.3991/ijet.v16i24.27839

Abstract


Professional internship offers college students a golden chance to apply their theoretical knowledge to practice. Through internship, physical education (PE) majors can match the professional knowledge and skills learned at school with the competencies required by actual jobs. The relevant studies at home and abroad mainly attempt to improve the internship effect. This paper explores the influence of the diversity of job competencies on the internship effect of PE majors, and establishes a prediction model based on artificial neural network (ANN). Firstly, an evaluation index system (EIS) was constructed for the internship quality of PE majors, and a table was prepared for four types of internship jobs for PE majors, as well as their core competences. Then, the sample data for quality evaluation of PE majors’ internship were preprocessed and subjected to feature extraction, in the light of their sequential property. After that, a prediction model was proposed for the internship quality of PE majors, along with its optimization algorithm. The proposed model was proved effective through experiments.

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 lecturer in the Sports Teaching and Research Department of Heilongjiang Bayi Agricultural 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 provincial-level papers and 1 monograph, and had 1 patent for utility models. Email: mfh001@byau.edu.cn
Cover iJET Vol. 16 No. 24 (2021)

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Published

2021-12-21

How to Cite

Yang, B. (2021). Internship Effect Prediction for Physical Education Majors Based on Artificial Neural Network. International Journal of Emerging Technologies in Learning (iJET), 16(24), pp. 165–176. https://doi.org/10.3991/ijet.v16i24.27839

Issue

Vol. 16 No. 24 (2021)

Section

Papers

License

Copyright (c) 2021 Bo Yang

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