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<p>Based on the ecological systems theory of creative development, this study is the first to use network analysis to systematically investigate the complex relationships among the influencing factors of creativity. Using a sample of 510 traditional Chinese medicine (TCM) university students, a psychological network model was constructed that encompasses personality, parenting styles, psychological resilience, and creativity. The results suggest that tenacity of psychological resilience had the highest strength centrality in the network and was the central influence variable. Neuroticism of personality had the highest bridge strengths, indicating that it acts as a bridge connecting multiple nodes in the network. Curiosity was the core dimension of creativity. The centrality stability coefficients of the network’s node strength (CS = 0.75) and bridge strength (CS = 0.60) were both &gt; 0.25, suggesting that the network model has good stability. These findings suggest that enhancing resilience, regulating neuroticism, and stimulating curiosity can help cultivate creativity. Moreover, This provides an important theoretical basis and practical guidance for optimizing the talent cultivation model at TCM universities and enhancing students’ creativity.</p>

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Influencing factors and prediction of creativity among college students in traditional Chinese medicine schools: network analysis

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月1日

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  • Yiting Peng,
  • Zhencai Chen,
  • Sanrong Xiao,
  • Ting Wang

摘要

Based on the ecological systems theory of creative development, this study is the first to use network analysis to systematically investigate the complex relationships among the influencing factors of creativity. Using a sample of 510 traditional Chinese medicine (TCM) university students, a psychological network model was constructed that encompasses personality, parenting styles, psychological resilience, and creativity. The results suggest that tenacity of psychological resilience had the highest strength centrality in the network and was the central influence variable. Neuroticism of personality had the highest bridge strengths, indicating that it acts as a bridge connecting multiple nodes in the network. Curiosity was the core dimension of creativity. The centrality stability coefficients of the network’s node strength (CS = 0.75) and bridge strength (CS = 0.60) were both > 0.25, suggesting that the network model has good stability. These findings suggest that enhancing resilience, regulating neuroticism, and stimulating curiosity can help cultivate creativity. Moreover, This provides an important theoretical basis and practical guidance for optimizing the talent cultivation model at TCM universities and enhancing students’ creativity.