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 language | English |
|---|---|
| Title of host publication | HRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction |
| Publisher | Association for Computing Machinery, Inc. |
| Pages | 177-179 |
| Number of pages | 3 |
| ISBN (Electronic) | 978-1-4503-7057-8 |
| DOIs | |
| Publication status | Published - 2020 |
| Externally published | Yes |
| Event | 15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020 - Cambridge, United Kingdom Duration: 23 Mar 2020 → 26 Mar 2020 |
Conference
| Conference | 15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020 |
|---|---|
| Country/Territory | United Kingdom |
| City | Cambridge |
| Period | 23/03/20 → 26/03/20 |
Keywords
- Feedback
- Foreign language learning
- Robot tutoring
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