Impact of generative AI chatbots and interaction modes on the speaking proficiency of adolescent EFL learners

生成语法 语言能力 计算机科学 心理学 语言学 语言习得 自然语言处理 聊天机器人 数学教育 任务分析 人工智能 计算机辅助教学 生成模型 计算机软件 语法 教学方法 计算语言学 语言评估
作者
Tzu‐Yu Tai,Howard Hao-Jan Chen
出处
期刊:Computer Assisted Language Learning [Routledge]
卷期号:: 1-30 被引量:22
标识
DOI:10.1080/09588221.2025.2572999
摘要

Speaking proficiency in a second or foreign language (L2) is crucial in language learning; however, it poses challenges and induces anxiety in learners. Recent advancements in generative artificial intelligence (GAI) and natural language processing address these challenges using GAI chatbots. However, further empirical research is required to validate their efficacy in enhancing L2 speaking proficiency. This study investigated the impact of GAI chatbots on the speaking proficiency of 88 eighth-grade Taiwanese English as Foreign Language (EFL) learners participating in a summer program. The participants interacted with CoolE Bot, a GAI chatbot, for 45 min each day, and were divided into three groups: (1) the Bot-S group, who interacted with CoolE Bot via speech; (2) the Bot-SW group, with flexible usage of speech and text; and (3) the non-Bot group, who interacted with teachers and peers in conventional English classes. Quantitative (English-speaking) and qualitative (semi-structured interviews) data were collected and analyzed, revealing that CoolE Bot significantly enhanced the speaking proficiency of EFL learners. Based on participant interviews, the highly interactive and versatile conversational capabilities of CoolE Bot maintained a coherent dialogue flow and handled intricate inquiries. Generating contextually relevant responses based on extended interactions facilitated authentic communication, thus improving speaking proficiency. Incorporating multiple characters, human-like personalities, and synthesized voices sustained the motivation of the learners and engaged them in English-speaking practices. Both speech-only and speech-text interaction modes enhanced speaking proficiency in human-GAI chatbot interaction. Integrating GAI technology with the flexibility of EFL learners to choose interaction modes or utilize supportive functions facilitated cognitive offloading, thereby increasing their English speaking proficiency.
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