Measuring Effect of Repetitive Queries and Implicit Learning with Joining-in-type Robot Assisted Language Learning System

Albara Khalifa, Tsuneo Kato, Seiichi Yamamoto


Computer assisted language learning (CALL) becomes more motivating for learners and realistic through introduction of humanoid robots. A robot assisted language learning (RALL) system is expected to provide an immersive environment for a second language (L2) learner to prepare for real face-to-face human communication. We are developing a joining-in-type RALL system using two humanoid robots, one playing the role of a teacher and the other playing the role of an advanced peer learner. The interaction between the two robots and learner is designed to smoothly switch between two learning modes, that is, tutoring and implicit learning, for effective language learning. In this paper, we measured the effect of repetitive queries and implicit learning quantitatively with 37 learners divided into two groups with and without interaction for implicit learning. The experimental results showed that the repetitive queries of specific expressions consistently improved the correct use of the expressions, and the improvement was significantly greater when the peer learner robot presented an answer for implicit learning compared with when there was no assistance from the robot.


 DOI: 10.21437/SLaTE.2017-3

Cite as: Khalifa, A., Kato, T., Yamamoto, S. (2017) Measuring Effect of Repetitive Queries and Implicit Learning with Joining-in-type Robot Assisted Language Learning System. Proc. 7th ISCA Workshop on Speech and Language Technology in Education, 13-17, DOI: 10.21437/SLaTE.2017-3.


@inproceedings{Khalifa2017,
  author={Albara Khalifa and Tsuneo Kato and Seiichi Yamamoto},
  title={ Measuring Effect of Repetitive Queries and Implicit Learning with Joining-in-type Robot Assisted Language Learning System},
  year=2017,
  booktitle={Proc. 7th ISCA Workshop on Speech and Language Technology in Education},
  pages={13--17},
  doi={10.21437/SLaTE.2017-3},
  url={http://dx.doi.org/10.21437/SLaTE.2017-3}
}