本研究的主要目的在於研究學生使用AI聊天機器人的學習方法對於學生口語表達之影響。由於EFL學生在日常生活中真正使用到英語的機會很少，因此，本研究提出了一種以AI聊天機器人讓學生進行學習的學習方法，以提升學生在真實生活中英語演講的能力。此外，本研究也談討了具有不同學習風格（VARK）的學生在口語表達方面的差異。本研究採用準實驗設計，進行為期五週與茶藝相關的課程，課程內容包含五個主題，分別為茶葉歷史、茶葉種植環境、茶葉種類、茶葉製程與茶葉泡製。研究參與者來自四個班級，共144名的高中生。其中兩個班級作為實驗組使用AI聊天機器人的學習方法，而另外兩個班級則是作為對照組使用PowerPoint投影片之傳統式教學進行課程。本研究的蒐集資料包含對學生的口說進行課程前後測試，並採用成對樣本T檢定、獨立樣本T檢定和雙因子變異數進行檢驗與分析，以此評估使用AI聊天機器人的學習方法之影響。研究結果為：（一）兩組學生在進行課程後，口語表達能力皆有明顯的提高。而使用AI聊天機器人進行學習的學生進步的幅度比傳統式學習的學生進步幅度更多。（二）口語表現的六個面向顯示，使用AI聊天機器人的學習方式主要影響的是學生口語表達時的內容，只有內容與兩組學習方法有相關聯。特別是視覺型學習者相較於其他學習風格的學習者更容易受到AI聊天機器人工具的影響。

This study aims to examine the effectiveness of the AI chatbot-based learning approach on students' oral presentation performance. Since EFL students have little opportunity to be engaged in English in an authentic environment, an AI chatbot-based learning approach is proposed to help students prepare to present in English in a real-life context. Furthermore, the differences in oral presentation of students with different learning styles (VARK) are also explored. The present study uses a quasi-experimental design carried out in a five-week mini-lesson on tea arts. Tea arts included five sub-topics: tea history, environment, species, making, and brewing tea. There are 144 high school students from four classes participated in the study. Two experimental classes received a chatbot-based learning approach, while two control classes received PowerPoint slides as the traditional instruction. The data includes a pre-and-posttest on students' oral presentations with paired samples test, independent test, and two-way ANCOVA to evaluate the effectiveness of the Al chatbot-based learning approach. The finding showed that both groups significantly improved after the two instructions; nevertheless, chatbot-based learning scores increased more than traditional learning scores. Six dimensions of oral performance showed that chatbot-based learning affects the content of oral performance mainly, and only the content had the interaction between learning styles and two groups. Especially visual learners are more affected by chatbot-based learning than the rest of others' learning styles.

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