Name
Abstract | ||
|---|---|---|
Empirical evidence has demonstrated that learning with and from a physically present, interactive robot can be more effective than learning from classical on-screen media [6, 8]. In the L2TOR project wework on using the robot Nao to support second language learning, a problem that becomes increasingly important nowadays.We focus on preschool children in the age of 5-6yr, for whom it is crucial to develop adequate knowledge of the academic language as later educational success builds on it [4, 7].
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3173386.3176906 | HRI (Companion) |
Keywords | Field | DocType |
Language Tutoring, Education, Assistive Robotics, Knowledge Tracing, Predictive Decision Making | Interactive robot,Empirical evidence,Computer science,Second language,Human–computer interaction,Robot | Conference |
ISSN | ISBN | Citations |
2167-2121 | 978-1-4503-5615-2 | 0 |
PageRank | References | Authors |
0.34 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thorsten Schodde | 1 | 11 | 1.76 |
| stefan kopp | 2 | 93 | 14.14 |