Collaborative Kinesthetic English Learning With Recognition Technology

Wu Yuin Hwang, Kinnosuke Manabe, Dong Jhe Cai, Zhao Heng Ma

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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.

Original languageEnglish
Pages (from-to)946-977
Number of pages32
JournalJournal of Educational Computing Research
Issue number5
StatePublished - 1 Sep 2020


  • collaborative learning
  • Experience-based Sentence-Making
  • human–computer interaction
  • Interactive Dialogue
  • kinesthetic learning
  • speaking accuracy
  • Total Physical Response


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