Lee, Kim, Shin, & Yang (2019). 외국어학습을 위한 대화형 챗봇의 담화 분석을 통한 개선 방안 연구
작성자Dongkwang Shin작성시간19.04.01조회수86 목록 댓글 0
Lee, Kim, Shin, - Yang (2019).pdf
http://cfile252.uf.daum.net/attach/99916B435CA169CC160403
외국어학습을 위한 대화형 챗봇의 담화 분석을 통한 개선 방안 연구
이장호 (중앙대학교)
김혜영 (중앙대학교)
신동광 (광주교육대학교)
양혜진 (중앙대학교)
Lee, Jang Ho, Kim, Heyoung, Shin, Dong Kwang & Yang, Hyejin. (2019). A study on the
conversational interaction with chatbot for foreign language learning. Multimedia-Assisted Language
Learning, 22(1), 132-153.
The present study investigated the potential of voice-based conversation AI chatbot for foreign
language learning. Among commercially available AI chatbot products, Naver’s Clova was selected,
and its English speaking mode was utilized. The dialogs between this chatbot and one of the
authors were recorded, and used as the primary data in this study. In analyzing these dialogs, the
widely used frameworks in foreign language learning research were adopted, including
“Initiate-response-feedback,” “teacher’s question type,” and “negotiation of meaning strategies”
frameworks. The results showed the selected chatbot appeared to take the role of a teacher (tutor)
in conversation with the user, in that on most occasions it started a conversation (new topic) by
asking questions to the user. Furthermore, the chatbot primarily used relatively simple types of
questions to guide the user conversations. In terms of the uses of negotiation of meaning strategies,
which are considered one of the most important aspects in conversation-driven foreign language
learning, the chatbot was found to be rarely using this type of strategies, and the absence of such
strategies resulted in communication breakdown with the user. The present study also proposes
considerations for the future development of the chatbot for foreign language learning.
Key words Artificial Intelligence, Chatbot, Clova, Conversation analysis, Foreign language learning
doi: 10. 15702/mall.2019.22.1.132