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.
CITATION STYLE
De Haas, M., & Conijn, R. (2020). Carrot or stick: The effect of reward and punishment in robot assisted language learning. In ACM/IEEE International Conference on Human-Robot Interaction (pp. 177–179). IEEE Computer Society. https://doi.org/10.1145/3371382.3378349
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