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 | Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction |
| Place of Publication | New York, NY, USA |
| Publisher | Association for Computing Machinery |
| Pages | 177–179 |
| ISBN (Print) | 9781450370578 |
| DOIs | |
| Publication status | Published - 2020 |
| Event | Human Robot Interaction 2020: ACM/IEEE International Conference on Human-Robot Interaction - Fitzwilliam College, Cambridge, United Kingdom Duration: 23 Mar 2020 → 26 Mar 2020 Conference number: 15 http://humanrobotinteraction.org/2020/ |
Publication series
| Name | HRI '20 |
|---|---|
| Publisher | Association for Computing Machinery |
Conference
| Conference | Human Robot Interaction 2020 |
|---|---|
| Abbreviated title | HRI2020 |
| Country/Territory | United Kingdom |
| City | Cambridge |
| Period | 23/03/20 → 26/03/20 |
| Internet address |
Keywords
- feedback
- foreign language learning
- robot tutoring