自动语音识别技术对EFL学习者的第二语言发音和口语技能的影响:混合方法调查
1School of Foreign Languages, Changchun Institute of Technology, Changchun, China.
Frontiers in psychology
|September 4, 2023
概括
自动语音识别 (ASR) 技术与同行校正显著改善了英语作为外语 (EFL) 学习者的发音和说话技巧. 这种方法比传统的教师主导的反更有效地提高了L2能力.
科学领域:
- 获得第二语言的学习.
- 教育技术的教育技术
- 应用语言学 应用语言学
背景情况:
- 作为外语英语 (EFL) 学习的传统反方法可能无法完全解决发音和说话技能的发展.
- 技术在语言教育中的整合为个性化和有效的学习提供了新的途径.
研究的目的:
- 调查自动语音识别 (ASR) 技术与同行校正相结合的有效性,以改善EFL学习者的L2发音和说话技能.
- 为了比较ASR辅助同行校正与传统教师主导反的影响.
主要方法:
- 一个解释性的顺序设计被用到61中级的中国EFL学习者,分为一个控制组 (教师领导的反) 和一个实验组 (ASR与同行校正).
- 通过大声读取任务,自发对话,雅思口语测试和半结构面试收集数据.
主要成果:
- 与对照组相比,使用ASR技术的实验组在L2发音 (口音,可理解性) 和全球演讲技能方面表现优异.
- 定性分析表明,实验组中的大多数参与者认为ASR技术对他们的语言学习有益.
结论:
- 具有同行校正的自动语音识别技术是提高EFL学习者L2发音和说话能力的强大工具.
- 这些发现支持将ASR技术纳入语言学习环境中的宝贵补充资源.
相关概念视频
01:27Language and Cognition
374
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
374
01:22Language Development
394
Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
394