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  • 學位論文

基於聊天機器人之密室逃脫遊戲在金融英文術語學習系統設計與應用

Design and application of escape game in financial English terminology learning system based on chatbot

指導教授 : 王亦凡

摘要


全球金融市場活躍,其中又以歐美國家為最大宗的市場。全球經濟牽一髮動 全身,這會讓專業的金融人士以及散戶投資客更需要去搜集國外的市場訊息,關注 國際市場便成為了投資者不可或缺的一環。而國外金融市場的新聞報導皆使用歐 美體系國家的語言,並伴隨著許多金融術語,這會成為了投資者最大的阻礙。學習 新語言本來就較為吃力,更何況各領域的英文術語也相對艱難,使得想學習的人打 退堂鼓,若透過遊戲化的方式帶動學習金融英文術語,勢必能夠激發學習動力以及 提升學習效率。 本研究設計一款將密室逃脫元素加入到投資金融英文術語學習系統的聊天機 器人「FinGame」提供給專業領域與金融有關的在學學生使用。藉由密室逃脫遊戲 中的故事背景設定讓使用者更能身歷其境的學習有關投資金融的英文術語,使記 憶更為深刻。透過遊戲化的方式可以提升使用者的學習興趣及效率,輔助使用者學 習投資金融相關的英文術語,並減少使用者對於學習上產生的排斥感。最後再透過 ARCS學習動機問卷及學習滿意度問卷,搜集使用者對於此聊天機器人的看法,以 觀察此聊天機器人的可用性。

並列摘要


The global financial markets are highly active, with European and American countries are being the largest market. The global economy interacts with each other, which will make professional financial professionals and retail investors need to collect foreign market information. Paying attention to the international markets has become an indispensable responsibility for investors. However, news reports on foreign financial markets are often presented in Western languages and filled with financial terminology, creating a significant barrier for investors. Learning a new language is already challenging, and the specialized financial terminology makes it even harder, discouraging many from trying. If financial English terminology could be taught through gamification, it would likely boost motivation and improve learning efficiency. In this study, we designed a chatbot called "FinGame" that integrates the concept of an escape game into an English terminology learning system focused on investment, specifically targeting students in the finance field. The story setting in the escape game allows users to immerse themselves in learning financial terminology for investment, making the experience more memorable and engaging. By employing gamification, we can increase users' interest and efficiency in learning, help them acquire financial terminology for investment, and reduce their resistance to learning. To evaluate the usability of this chatbot, we utilized the ARCS (Attention, Relevance, Confidence, Satisfaction) Instructional Materials Motivation Survey and the Learning Satisfaction Survey to gather users' feedback.

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