赋予EFL教师对生成人工智能介导的自我专业主义的看法
Mohd Nazim1, Ali Abbas Falah Alzubi2
1English Department, College of Languages and Translation, Najran University, Najran, Saudi Arabia.
PloS one
|June 23, 2025
概括
作为外语英语 (EFL) 教师对生成人工智能 (AI) 介导的自我专业主义表现出中等的参与,但高度的态度. 关键的限制包括人工智能素养和道德问题,培训和明确的指导方针被提出为解决方案.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
- 专业发展专业发展
背景情况:
- 生成型人工智能 (AI) 正在越来越多地影响专业发展.
- 了解英语作为外语 (EFL) 教师对人工智能媒介的自我专业主义的看法至关重要.
- 对人工智能在阿拉伯高等教育背景下对自我专业化的影响的研究是有限的.
研究的目的:
- 探索EFL教师对生成人工智能介导的自我专业主义的看法.
- 调查与专业发展中的AI相关的参与,态度,约束和解决方案.
- 为 EFL 教师专业性的不断变化的景观提供见解.
主要方法:
- 混合方法研究设计,将定量和定性数据结合起来.
- 通过问卷和采访收集了来自八所公立大学的278名EFL教师的数据.
- 使用统计分析 (SPSS) 和主题分析,并进行数据三角化以获得全面的理解.
主要成果:
- EFL教师表现出中等水平的参与与生成AI的自我专业化.
- 教师对人工智能介导的自我专业主义表达了高度积极的态度.
- 确定的约束因素包括技术能力,人工智能素养,内容可靠性,道德问题和自主性问题.
结论:
- 生成型人工智能为EFL教师的自我专业化带来了机遇和挑战.
- 建议通过培训,道德准则来解决这些限制,并强调人工智能作为一种补充工具.
- 需要进一步的研究,以充分理解和利用人工智能在EFL教师的专业发展.
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