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Carrot or Stick: The Effect of Reward and Punishment in Robot Assisted Language Learning

  • Mirjam de Haas
  • , Rianne Conijn

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Abstract

    Feedback plays an important role in language learning. However, limited research can be found on the influence of feedback in robot-assisted language learning. Therefore, this study aims to identify the effects of robot-feedback on learning gain, motivation, and anthropomorphism. In total, 60 students participated in a language learning task, with a robot using one of three feedback conditions: reward, punishment, and no feedback. The results showed that feedback only affected learning gain: students learned more with punishment, followed by reward, compared to no feedback. Thus, our results underscore the importance of feedback in RALL.
    Original languageEnglish
    Title of host publicationCompanion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
    Place of PublicationNew York, NY, USA
    PublisherAssociation for Computing Machinery
    Pages177–179
    ISBN (Print)9781450370578
    DOIs
    Publication statusPublished - 2020
    EventHuman Robot Interaction 2020: ACM/IEEE International Conference on Human-Robot Interaction - Fitzwilliam College, Cambridge, United Kingdom
    Duration: 23 Mar 202026 Mar 2020
    Conference number: 15
    http://humanrobotinteraction.org/2020/

    Publication series

    NameHRI '20
    PublisherAssociation for Computing Machinery

    Conference

    ConferenceHuman Robot Interaction 2020
    Abbreviated titleHRI2020
    Country/TerritoryUnited Kingdom
    CityCambridge
    Period23/03/2026/03/20
    Internet address

    Keywords

    • feedback
    • foreign language learning
    • robot tutoring

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