在教师专业学习中整合人工智能工具:一个概念模型和示例案例
1Center for Educational Technology, Tallinn University, Tallinn, Estonia.
Frontiers in artificial intelligence
|December 22, 2023
概括
这篇论文探讨了将人工智能 (AI) 整合到教师专业学习中,重点是AI如何增强教师的注意力,决策和适应性教学. 它强调以教师为中心的AI集成和设计方法.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
- 教师专业发展教师专业发展
背景情况:
- 人工智能 (AI) 在教育中的整合为教师的专业学习带来了机遇和挑战.
- 现有的方法往往侧重于技术采用或教师参与人工智能设计,而不是实际整合到教学实践中.
研究的目的:
- 从以教师为中心的角度探索将人工智能技术整合到教师专业学习中的复杂性.
- 要突出AI如何协同教师的注意力,决策和适应性教学.
- 提出一种新的教师培训模式,将AI解决方案设计与专业视觉开发相结合.
主要方法:
- 概念论文概述了一种新的教师培训方法.
- 关注人工智能工具在教师实践中的有意义整合.
- 描述了一个AI解决方案设计与专业学习相结合的案例.
主要成果:
- 人工智能可以支持适应性教学,并使实践与能力框架保持一致.
- 整合人工智能可以通过框架他们的实践培养教师的专业愿景.
- 通过专业学习模型,教师参与人工智能设计至关重要.
结论:
- 以教师为中心的方法对于有意义的AI整合到专业学习中至关重要.
- 专业学习模型应该让教师参与人工智能设计,以培养推理和新的心理模型.
- 这种方法增强了教师的专业视野和教学理解.
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