探索人工智能驱动的演讲任务对EFL学习者的演讲表现和焦虑的影响:一个活动理论研究
Saman Ebadi1, Sajad Velayati1, Akram Ramezanzadeh2
1Department of English and Applied Linguistics, Faculty of Humanities, Razi University, Kermanshah, Iran.
Acta psychologica
|August 14, 2025
概括
人工智能 (AI) 交互式说话任务显著改善了英语作为外语 (EFL) 学习者的说话表现,并减少了说话焦虑. 然而,过度依赖人工智能可能会影响学习者的自主性和批判性思维能力.
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:
- 英语作为外语 (EFL) 的学习在发展口语能力和管理口语焦虑方面提出了挑战.
- 活动理论为理解技术媒介学习环境中的复杂相互作用提供了一个框架.
- 人工智能 (AI) 为语言学习提供了新的工具,包括交互式说话实践.
研究的目的:
- 研究AI交互式演讲任务对EFL学习者的演讲表现的影响.
- 评估AI在缓解EFL学习者说话焦虑方面的有效性.
- 通过混合方法的方法来探索学习者对人工智能驱动的口语实践的经验和看法.
主要方法:
- 这是一项混合方法研究,涉及64名伊朗EFL学生.
- 随机分配给一个使用AI (SmallTalk2Me) 的实验组和一个对照组.
- 使用雅思口语测试,口语焦虑问卷和协差分析 (ANCOVA) 的定量分析.
- 通过采访实验组参与者进行定性数据收集.
主要成果:
- 与对照组相比,实验组显示说话表现显著提高,说话焦虑显著下降.
- 定性发现显示了以学习者为中心的好处,支持性的学习环境,并确定了挑战.
- 主题包括自我调节的学习,增强参与,动机,以及建设性反的重要性.
结论:
- 人工智能交互式演讲任务有效地提高了EFL演讲表现,并减少了焦虑.
- 人工智能自动化的好处与学习者自主性和批判性评估技能的发展之间存在潜在的权衡.
- 虽然人工智能工具可以增强语言学习,但仔细考虑它们对学习者独立性的影响至关重要.
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