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生成性AI依赖是否可以促进创造力? 来自体育本科生的证据
1School of Education, Nanchang Vocational University, Nanchang, Jiangxi, China.
PloS one
|February 9, 2026
概括
产生人工智能的依赖对体育学生的创造力产生了积极的影响,主要是通过提高自我效能. 这项研究探讨了创造性人工智能如何影响高等教育中的创造力,研究结果表明男性学生的具体好处.
科学领域:
- 教育技术的教育技术
- 创造力的心理学 创造力的心理学
- 运动科学 运动科学 运动科学
背景情况:
- 生成型人工智能正在改变高等教育,影响学生的竞争力,如创造力.
- 生成型人工智能对创造力依赖的具体影响,特别是在体育领域,尚不清楚.
- 流理论为研究技术如何影响认知状态和创造性输出提供了一个框架.
研究的目的:
- 调查生成人工智能依赖对大学生在体育相关学科的创造力的影响.
- 探索自我效能和流动在生成人工智能依赖和创造力之间的关系中的调解作用.
- 检查潜在的性别差异在产生性AI依赖创造力的影响.
主要方法:
- 对453名本科体育学生进行了调查,采用了雪球采样.
- 评估四个关键构造:生成人工智能依赖,自我效能,流动和创造力.
- 部分最小平方 - 结构方程建模 (PLS-SEM) 用于数据分析.
主要成果:
- 生成性人工智能依赖对创造力产生了显著的积极直接影响.
- 自我有效性显著介导了生成人工智能对创造力依赖的积极间接影响.
- 流动的调解作用在统计学上并不显著;然而,产生性AI依赖性对流动产生了积极的影响.
- 男学生表现出更明显的积极影响,产生AI依赖流动和创造力.
结论:
- 生成型人工智能依赖可以增强体育学生的创造力,以自我效能为关键调解者.
- 虽然流动并没有调解创造力链接,但生成性AI仍然对其产生了积极的影响.
- 结果表明,利用生成人工智能来促进体育教育中的创造力,考虑到性别特异性的影响,可以制定定制策略.
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