Promotion Effect of Sports Games Based on Deep Learning on Children’s Psychological Development

Authors

  • Zhihua Yu School of Physical Education, South-Central Minzu University, Wuhan 430074, China
  • Yu Xing School of Physical Education, Hainan University, Haikou 570228, China
  • Haoyan Liu School of Physical Education, Hainan University, Haikou 570228, China

Abstract

With the wide application of deep learning technology in various fields, its potential role in the field of education, especially sports games, has aroused the interest of researchers. This study explores the impact on children’s psychological development of sports games based on deep learning. Through a combination of quantitative and qualitative research methods, using the SCL-90 scale and a deep learning model, the study analyzed changes in children’s mental health before and after participating in such games. The results showed that children who participated in deep-learning-enhanced sports games had significantly reduced anxiety and symptoms of depression, and better social interaction and teamwork skills. However, the study also had limitations, such as a small sample size and a lack of long-term impact assessment. Nevertheless, this study provides valuable insights for educators and game developers in terms of designing games that promote children’s mental health and social skills, while demonstrating the potential for deep learning models to be applied in the evaluation of educational games.

Keywords: Deep learning, sports games, children’s psychological development, SCL-90 scale, educational technology

Cite As

Z. Yu, Y. Ying, H. Liu, "Promotion Effect of Sports Games Based on Deep Learning on Children’s
Psychological Development", Engineering Intelligent Systems, vol. 32 no. 6, pp. 587-596, 2024.






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Published

2024-11-01

Issue

Vol. 32 No. 6 (2024): International Journal of Engineering Intelligent Systems

Section

Article

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