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

Fingerprint

Dive into the research topics of 'Carrot or Stick: The Effect of Reward and Punishment in Robot Assisted Language Learning'. Together they form a unique fingerprint.

Cite this