人工智能生成的语料库学习和EFL学习者对语法结构,词汇捆绑以及写作意愿的学习
1School of foreign languages, Baotou Teachers' College, Baotou, China.
PloS one
|July 11, 2025
概括
与传统方法相比,人工智能生成的corpora显著改善了英语作为外语 (EFL) 学习者的语法,词汇和写作意愿. 这凸显了人工智能工具在增强语言学习和沟通技能的潜力.
科学领域:
- 教育技术的教育技术
- 应用语言学 应用语言学
- 语料库语言学 语料库语言学
背景情况:
- 传统的外语英语 (EFL) 教学经常面临词汇获取和培养写作意愿方面的挑战.
- 人工智能 (AI) 的出现为开发动态学习资源提供了新的途径,例如人工智能生成的 corpora.
研究的目的:
- 调查人工智能生成的体对EFL学习者的语法构造,词汇捆绑获取和写作意愿的影响.
- 将人工智能驱动的基于体的教学与传统教科书方法的有效性进行比较.
主要方法:
- 一项涉及80名EFL学生的准实验性研究,分为一个试验组 (AI corpora) 和一个控制组 (教科书) 在14个会议中.
- 通过处理前后的评估收集数据,包括词汇捆绑和语法测试,以及写尺度的意愿.
- 使用混合ANOVA进行统计分析,以确定时间和团体成员对语言能力和沟通意愿的影响.
主要成果:
- 与对照组相比,试验组在词汇包获取,语法和沟通意愿方面的平均得分明显高.
- 混合ANOVA证实了时间和群体成员的显著影响,表明AI驱动的corpora对学习者结果的积极影响.
- 人工智能体组的学习者在语言技能方面取得了实质性的改进,并更愿意参与写作.
结论:
- 将人工智能驱动的语言体集成到EFL教学中,会对词汇,语法和沟通技巧产生积极的影响.
- 该研究强调了数据驱动的学习方法和动态的教育环境对于有效的语言学习的重要性.
- 建议包括进一步研究最佳的人工智能干预设计,并为技术增强的语言学习资源提供政策支持.
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