MICOM step 3a result report.

As an emerging technological tool, generative AI profoundly reshapes higher education teaching and learning processes. Creativity, as a key component of university students’ core competencies, is significantly influenced by technological transformations. However, the mechanisms through which generative AI dependence affects creativity remain underexplored, especially among students majoring in sports. Grounded in Flow Theory, this study investigates the impact of generative AI dependence on the creativity of university students in sports-related disciplines. Using a snowball sampling strategy, the researchers surveyed 453 undergraduates in sports, assessing their self-reported responses across four constructs: generative AI dependence, self-efficacy, flow, and creativity. Partial Least Squares – Structural Equation Modeling was employed to uncover the complex relationships between generative AI dependence and creativity. The results reveal that generative AI dependence has a significant positive direct effect on creativity and an indirect effect mediated by self-efficacy. However, the mediating role of flow was not statistically significant. Furthermore, the multi-group analysis indicates that the positive effects of generative AI dependence on flow and creativity are more pronounced among male students. These findings offer theoretical insights and practical guidance for using generative AI to enhance creativity among students in sports programs.作为一项新兴技术工具，生成式AI（generative AI）正深刻重塑高等教育的教与学流程。创造力作为大学生核心竞争力的关键组成部分，显著受到技术变革的影响。然而，生成式AI依赖感影响创造力的内在机制仍未得到充分探索，在体育专业学生群体中尤其如此。本研究基于心流理论（Flow Theory），探究生成式AI依赖感对体育相关学科大学生创造力的影响。研究采用滚雪球抽样策略，对453名体育专业本科生开展问卷调查，评估其在生成式AI依赖感、自我效能感、心流体验及创造力四个构念上的自我报告结果。本研究采用偏最小二乘结构方程模型（Partial Least Squares – Structural Equation Modeling），以揭示生成式AI依赖感与创造力之间的复杂关联。研究结果显示，生成式AI依赖感对创造力具有显著的正向直接影响，同时还存在一条以自我效能感为中介的间接影响路径。不过，心流体验的中介作用并未达到统计学显著性。此外，多群组分析结果表明，生成式AI依赖感对心流体验与创造力的正向影响在男性学生群体中更为显著。上述研究结论可为借助生成式AI提升体育类专业学生创造力提供理论洞见与实践指引。