生成型人工智能素养:规模发展及其对工作绩效的影响
Xin Liu1, Longxin Zhang1, Xiaochong Wei1
1School of Public Administration and Policy, Renmin University of China, Beijing 100872, China.
Behavioral sciences (Basel, Switzerland)
|June 26, 2025
概括
这项研究引入了一个新的框架来衡量创造性AI素养,这对于工作场所的成功至关重要. 增强的生成人工智能素养通过培养创造性的自我效能,显著提高了员工的工作绩效.
科学领域:
- 工作场所的生产力和人工智能.
- 人与计算机的交互. 人与计算机的交互.
- 组织心理学.组织心理学.
背景情况:
- 生成型人工智能 (AI) 提供了重要的工作场所潜力.
- 缺乏对生成人工智能识字的系统定义和测量.
- 现有的文献需要一个全面的框架来评估AI素养在专业环境.
研究的目的:
- 开发和验证一个强大的测量框架,用于生成人工智能识字.
- 通过使用 AMO 理论来探索 Generative AI Literacy 对员工工作表现的影响.
- 调查创造性自我效能在这种关系中的调解作用.
主要方法:
- 采用了严格的规模开发过程.
- 构建了一个五维的框架:基本的技术能力,快速优化,内容评估,创新应用,以及道德/合规意识.
- 统计分析验证了框架的可靠性,有效性和对工作绩效的影响.
主要成果:
- 生成性人工智能素养显著对工作绩效产生积极影响 (β = 0.680,p < 0.001).
- 创造性自我效能部分调解了生成性人工智能素养与工作表现之间的关系 (间接效应=0.537).
- 开发的五维框架表现出强大的心理测量特性.
结论:
- 该研究提供了一个验证的工具,用于测量工作场所的生成人工智能素养.
- 生成性人工智能识字通过提高创造性自我效率来提高工作绩效.
- 调查结果为组织提供了实用的见解,以优化绩效并促进负责任的AI使用.
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