Hints vs Distractions in Intelligent Tutoring Systems: Looking for the proper type of help

Autor:	Blancas-Muñoz, Maria, Vouloutsi, Vasiliki, Zucca, Riccardo, Mura, Anna, Verschure, Paul F. M. J.
Rok vydání:	2018
Předmět:	Computer Science - Human-Computer Interaction
Druh dokumentu:	Working Paper
Popis:	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 learners' 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. Comment: Presented at Interaction Design and Children (IDC-CRI2018) Workshop (arXiv:submit/2277826)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1806.07806 Zobrazit plný text záznamu View this record from Arxiv