高等教育中的人工智能:需求满足对人工智能识字的影响,通过自我调节的学习策略进行调解
Kai Wang1, Wencheng Cui2, Xue Yuan3
1Center for Teacher Education Research, Beijing Normal University, Beijing 100091, China.
Behavioral sciences (Basel, Switzerland)
|February 26, 2025
概括
在大学生中培养人工智能素养需要满足他们对自主,能力和相关性的心理需求. 自主调节的学习策略调解了这种关系,增强了人工智能教育成果.
科学领域:
- 教育心理学教育心理学
- 人工智能教育 人工智能教育
背景情况:
- 人工智能 (AI) 对专业和个人领域产生重大影响.
- 人工智能素养对大学生至关重要,但决定因素尚不清楚.
- 自决理论 (SDT) 为理解学生的动机和学习提供了一个框架.
研究的目的:
- 研究心理需求,自我调节学习策略 (SRLSs) 和大学生的人工智能素养之间的联系.
- 提高人力资本效率,为未来人工智能驱动的工作场所做好学生的准备.
- 提供对AI素养发展的理论和实践见解.
主要方法:
- 横截面调查设计. 横截面调查设计.
- 给了1056名大学生.
- 基于自决理论 (SDT).
主要成果:
- 满足心理需求 (自主,能力,相关性) 是人工智能素养的关键.
- 四个SRLS (认知参与,元认知知识,资源管理,动机信念) 调解了心理需求和AI素养之间的关系.
- 在需求满足,SRLS和AI素养之间发现了积极的相关性.
结论:
- 满足心理需求是高等教育中人工智能素养的关键驱动力.
- SRLS充当关键的调解者,将满足需求转化为人工智能识字能力的提高.
- 研究结果为设计有效的人工智能教育计划提供指导,以提高学生的人工智能素养.
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