Name
Title | ||
|---|---|---|
Hints vs Distractions in Intelligent Tutoring Systems: Looking for the proper type of help. |
Abstract | ||
|---|---|---|
The kind of help a student receives during a task has been shown to play a significant role in their learning process. We designed an interaction scenario with a robotic tutor, in real-life settings based on an inquiry-based learning task. We aim to explore how learnersu0027 performance is affected by the various strategies of a robotic tutor. We explored two kinds of(presumable) help: hints (which were specific to the level or general to the task) or distractions (information not relevant to the task: either a joke or a curious fact). Our results suggest providing hints to the learner and distracting them with curious facts as more effective than distracting them with humour. |
Year | Venue | Field |
|---|---|---|
2018 | arXiv: Human-Computer Interaction | TUTOR,Joke,Computer science,Human–computer interaction |
DocType | Volume | Citations |
Journal | abs/1806.07806 | 1 |
PageRank | References | Authors |
0.35 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria Blancas-Muñoz | 1 | 1 | 0.35 |
| Vasiliki Vouloutsi | 2 | 31 | 7.45 |
| Riccardo Zucca | 3 | 70 | 11.03 |
| Anna Mura | 4 | 17 | 3.18 |
| Paul F. M. J. Verschure | 5 | 677 | 116.64 |