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<p>This 8-week parallel-group experimental study observed the effects of DeepSeek-assisted instruction on sports dance (Latin dance) learning among college physical education students. Forty participants were randomly assigned to an experimental group (DeepSeek assistance, n=20) and a control group (traditional teaching, n=20). The experimental group exhibited significantly higher technical scores, self-assessment scores, and total performance scores than the control group (t-values: 3.45–3.92, P&lt;0.05, Cohen’s d: 1.08–1.24, 95% CI: 2.02–6.98). Physical fitness indicators (double flying swallows, sit-ups, single-leg balance with eyes closed, flat turns) also showed significant between-group differences (all P&lt;0.01, Cohen’s d: 1.01–1.45). In total, 85% of the experimental group reported “very satisfied” or “satisfied” with DeepSeek-assisted teaching. These observational results suggest a potential positive association between DeepSeek use and improved sports dance technical performance and physical fitness, rather than confirming causal effects. This study provides preliminary empirical support for integrating AI-assisted tools into college physical education.</p>

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Application research of DeepSeek in physical education teaching in colleges and universities: a case study of sports dance teaching

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月31日

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  • Zhenhua Xu,
  • Lijia Yue,
  • Wentao Meng

摘要

This 8-week parallel-group experimental study observed the effects of DeepSeek-assisted instruction on sports dance (Latin dance) learning among college physical education students. Forty participants were randomly assigned to an experimental group (DeepSeek assistance, n=20) and a control group (traditional teaching, n=20). The experimental group exhibited significantly higher technical scores, self-assessment scores, and total performance scores than the control group (t-values: 3.45–3.92, P<0.05, Cohen’s d: 1.08–1.24, 95% CI: 2.02–6.98). Physical fitness indicators (double flying swallows, sit-ups, single-leg balance with eyes closed, flat turns) also showed significant between-group differences (all P<0.01, Cohen’s d: 1.01–1.45). In total, 85% of the experimental group reported “very satisfied” or “satisfied” with DeepSeek-assisted teaching. These observational results suggest a potential positive association between DeepSeek use and improved sports dance technical performance and physical fitness, rather than confirming causal effects. This study provides preliminary empirical support for integrating AI-assisted tools into college physical education.