TY - JOUR
T1 - Collaborative Kinesthetic English Learning With Recognition Technology
AU - Hwang, Wu Yuin
AU - Manabe, Kinnosuke
AU - Cai, Dong Jhe
AU - Ma, Zhao Heng
N1 - Publisher Copyright:
© The Author(s) 2019.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - The aim of this study is to present three contributing factors to kinesthetic learning. This study employed advanced recognition technologies, pedagogical mechanisms, and interesting activity design. First, kinesthetic learning with a speaking accuracy measuring function to facilitate English as foreign language (EFL) learning is proposed. Namely, this function is about measuring the learners’ speaking accuracy and recognizing whether their body movements and facial expressions match their English speaking content via recognition technology. This function is expected to improve the learners’ pronunciation and motivation during the experiment. Second, we propose Collaborative Kinesthetic English Learning System based on the second-language acquisition method Total Physical Response. By integrating our system with Total Physical Response, it helps the learners improve EFL learning with physical movements and stimulates their memorization and motivation from collaborative perspectives. Finally, the last significant contribution of this study is to design and implement interesting interactive activities: Experience-based Sentence-Making and Interactive Dialogue. These two activities are to help learners produce their English output. In this study, our experimental results show Experience-based Sentence-Making and Interactive Dialogue can significantly improve EFL learning.
AB - The aim of this study is to present three contributing factors to kinesthetic learning. This study employed advanced recognition technologies, pedagogical mechanisms, and interesting activity design. First, kinesthetic learning with a speaking accuracy measuring function to facilitate English as foreign language (EFL) learning is proposed. Namely, this function is about measuring the learners’ speaking accuracy and recognizing whether their body movements and facial expressions match their English speaking content via recognition technology. This function is expected to improve the learners’ pronunciation and motivation during the experiment. Second, we propose Collaborative Kinesthetic English Learning System based on the second-language acquisition method Total Physical Response. By integrating our system with Total Physical Response, it helps the learners improve EFL learning with physical movements and stimulates their memorization and motivation from collaborative perspectives. Finally, the last significant contribution of this study is to design and implement interesting interactive activities: Experience-based Sentence-Making and Interactive Dialogue. These two activities are to help learners produce their English output. In this study, our experimental results show Experience-based Sentence-Making and Interactive Dialogue can significantly improve EFL learning.
KW - Experience-based Sentence-Making
KW - Interactive Dialogue
KW - Total Physical Response
KW - collaborative learning
KW - human–computer interaction
KW - kinesthetic learning
KW - speaking accuracy
UR - http://www.scopus.com/inward/record.url?scp=85077204265&partnerID=8YFLogxK
U2 - 10.1177/0735633119893117
DO - 10.1177/0735633119893117
M3 - 期刊論文
AN - SCOPUS:85077204265
SN - 0735-6331
VL - 58
SP - 946
EP - 977
JO - Journal of Educational Computing Research
JF - Journal of Educational Computing Research
IS - 5
ER -