Name
Title | ||
|---|---|---|
Adaptive Robot Language Tutoring Based on Bayesian Knowledge Tracing and Predictive Decision-Making. |
Abstract | ||
|---|---|---|
In this paper, we present an approach to adaptive language tutoring in child-robot interaction. The approach is based on a dynamic probabilistic model that represents the inter-relations between the learner's skills, her observed behaviour in tutoring interaction, and the tutoring action taken by the system. Being implemented in a robot language tutor, the model enables the robot tutor to trace the learner's knowledge and to decide which skill to teach next and how to address it in a game-like tutoring interaction. Results of an evaluation study are discussed demonstrating how participants in the adaptive tutoring condition successfully learned foreign language words. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/2909824.3020222 | HRI |
Keywords | Field | DocType |
Language tutoring,Education,Assistive robotics,Bayesian Knowledge Tracing,Decision making | Cognitive robotics,TUTOR,Interactive Learning,Computing Methodologies,Task analysis,Simulation,Computer science,Human–computer interaction,Probabilistic logic,Bayesian Knowledge Tracing,Foreign language | Conference |
ISSN | ISBN | Citations |
2167-2121 | 978-1-4503-4336-7 | 8 |
PageRank | References | Authors |
0.58 | 15 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thorsten Schodde | 1 | 9 | 0.94 |
| Kirsten Bergmann | 2 | 199 | 17.95 |
| stefan kopp | 3 | 93 | 14.14 |