@inproceedings{dc184fc7b2954b989f4da6b9cc2ad460,
title = "Acquiring Conceptual Knowledge about How Systems Behave",
abstract = "There is a need for software that supports learners in actively dealing with theoretical concepts by having them create models and perform concept prediction and explanation (e.g. [3,4,5]). DynaLearn seeks to address this by developing a domain independent Interactive Learning Environment (ILE) based on Qualitative Reasoning (QR) [1]. The QR vocabulary fits the nature of conceptual knowledge, and the explicit representation of these notions in the software provides the handles to support an automated communicative interaction that actually discusses and provides feedback at the conceptual level.",
author = "J. Liem and B. Bredeweg and F. Linnebank and R. B{\"u}hling and M. Wi{\ss}ner and {Gracia del R{\'i}o}, J. and W. Beek and {G{\'o}mez P{\'e}rez}, A.",
note = "Intelligent Tutoring Systems 2010 (ITS 2010), Pittsburgh, PA ; Conference date: 14-06-2010 Through 18-06-2010",
year = "2010",
doi = "10.1007/978-3-642-13437-1_105",
language = "English",
isbn = "9783642134364",
volume = "2",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "448",
editor = "V. Aleven and J. Kay and J. Mostow",
booktitle = "Intelligent Tutoring Systems",
}