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人工智能辅助L2写作的认知负载量表:量表的开发和验证.

Guangyuan Yao1, Lingxi Fan2,3

  • 1Department of English, University of Macau, Taipa, Macao SAR, China.

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研究人员开发了人工智能辅助L2写作认知负载量表 (CL-AI-L2W),以测量人类-人工智能写作中的认知需求. 这种经过验证的尺度有助于对AI的理解.

关键词:
人工智能辅助写作认知负载的认知负载生成型的人工智能人与人工智能的互动规模发展发展规模发展.第二语言写作写作

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科学领域:

  • 教育心理学教育心理学
  • 应用语言学 应用语言学
  • 人与计算机的交互

背景情况:

  • 生成性人工智能越来越多地被整合到第二语言 (L2) 写作中.
  • 了解与人工智能辅助的L2写作相关的认知负载对于有效的教学和理论发展至关重要.
  • 现有的工具并没有专门解决人类-人工智能协作写作的独特认知需求.

研究的目的:

  • 开发和验证人工智能辅助L2写作 (CL-AI-L2W) 的认知负载量表.
  • 用人工智能工具测量L2作家使用人工智能工具所经历的独特认知负载维度.
  • 在AI增强的写作环境中为研究和教育实践提供心理测量健全的工具.

主要方法:

  • 一种混合方法的方法,整合了认知写作理论和人类-人工智能交互研究.
  • 通过专家反和采访来改进项目库.
  • 探索性因子分析 (N=241) 和确认性因子分析 (N=305) 以确定尺度结构和有效性.

主要成果:

  • 一个经过验证的18项CL-AI-L2W规模,具有强大的四个因素结构:即时管理,关键评估,整合合成和作者核心处理.
  • 该比例表显示出出色的内部一致性和强大的标准相关有效性.
  • 在尺度和写作焦虑,自我效能以及感知到的精神努力之间发现了显著的相关性.

结论:

  • CL-AI-L2W是第一个测量人工智能辅助L2写作的认知负载的验证仪器.
  • 该尺度为评估AI对L2组成的认知影响提供了可靠的工具.
  • 结果可以为开发有效的教学策略和AI集成L2写作指令的理论框架提供信息.