探索与课程相关的感知到的可持续能力,生成人工智能工具的使用,以及混合学习中的知识共享
Javed Iqbal1, Zarqa Farooq Hashmi2, Pirita Seitamaa-Hakkarainen3
1School of English Studies, Zhejiang International Studies University, Hangzhou, People's Republic of China.
Scientific reports
|October 13, 2025
概括
可持续的课程可以提高教师的认知能力. 这种联系通过生成人工智能工具的使用和知识共享来加强,为教师教育创造了一个新的框架.
科学领域:
- 教育教育教育教育教育教育.
- 技术整合 技术整合
- 可持续发展 可持续发展 可持续发展
背景情况:
- 教师教育计划越来越多地纳入了可持续性概念.
- 混合学习环境需要有效的能力发展策略.
- 新兴技术的作用,如教育中的生成人工智能,正在迅速发展.
研究的目的:
- 调查可持续课程与保护教师感知到的可持续能力之间的关系.
- 检查在这种关系中生成性AI工具使用和知识共享实践的调解作用.
- 提出和验证一个新的框架,整合这些因素.
主要方法:
- 这项定量研究涉及来自中国湖北六所大学的446名教师.
- 使用时间滞后调查设计和方便的抽样.
- 使用部分最小平方结构方程建模 (PLS-SEM) 分析的数据.
主要成果:
- 在可持续课程和感知到的可持续能力之间发现了显著的直接相关性.
- 由知识共享实践调解的生成性AI工具使用部分解释了这种关系.
- 拟议的框架展示了课程,技术和能力发展之间的相互作用.
结论:
- 可持续的课程对于提高教师的可持续能力至关重要.
- 整合生成人工智能和知识共享提供了一个有希望的途径来培养这些能力.
- 调查结果为教育工作者,政策制定者和大学管理人员提供了宝贵的见解.
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