基于人工智能的语言学习:揭示了在中国EFL背景下对口语技能和自我调节的影响
1School of Foreign Languages, Northeast Petroleum University, Daqing, China.
Frontiers in psychology
|November 29, 2023
概括
基于人工智能 (AI) 的教学显著改善了第二语言 (L2) 说话技能和中国英语作为外语 (EFL) 学生的自我调节. 像Duolingo这样的AI工具提供了有效的语言学习增强.
科学领域:
- 教育技术的教育技术
- 应用语言学 应用语言学
- 教育中的人工智能
背景情况:
- 获得第二语言对于全球沟通至关重要.
- 传统的语言教学方法可能无法完全解决口语能力和自我调节问题.
- 人工智能 (AI) 的整合为语言学习提供了新的途径.
研究的目的:
- 调查基于人工智能的教学对L2口语技能的有效性.
- 评估基于人工智能的教学对口语自我调节的影响.
- 将基于人工智能的教学与传统方法在英语外语 (EFL) 背景下进行比较.
主要方法:
- 一项涉及93名中国EFL学生的研究,随机分配到基于AI或传统的教学组.
- 基于AI的指令使用了Duolingo应用程序,具有自然语言处理和语音识别等功能.
- 测试前后测量L2说话能力和自我调节能力.
主要成果:
- 与对照组相比,基于人工智能的指令组在L2说话技巧中表现出明显更大的改善.
- 接受基于人工智能的指令的参与者报告说话自我调节的水平更高.
- 人工智能驱动的工具对语言学习者的演讲表现产生了积极影响.
结论:
- 基于人工智能的教学是提高L2口语能力和促进自我调节的有效方法.
- 人工智能技术具有优化语言学习和促进学习者自主性的巨大潜力.
- 建议进行进一步的研究,以探索AI在语言教育中的长期影响和潜在机制.
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