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Author: Ismo Koponen

Affiliation: University of Helsinki, Finland

Keyword(s): Knowledge Organization Patterns, Concept Maps, Directed Networks, Learning.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Context ; Education and Training Issues ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Paradigm Trends ; Software Engineering ; Symbolic Systems

Abstract: We discuss here how students organize their knowledge (in physics) by connecting closely related concepts. Attention is paid on the relational structure of the ordering of concepts so that the introduction of new concepts is justified on the basis of concepts which have already been learned. Consequently, there is then direction of progress in introducing new concepts - there is ``flux of information'' so that what was learned before is the basis for learning new conceptual knowledge. Such ordered and directed process of introducing the concepts can be conveniently described and analysed in the framework of directed ordered graphs. We propose here a model of knowledge organization for such concept maps. The model is based on the assumption that students use simple procedures connecting new concepts mostly to concepts introduced few steps before. On basis of the model results we suggest that the most important properties of concept maps can be understood on a basis of such simple rule s for organising knowledge. (More)

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Paper citation in several formats:
Koponen, I. (2012). Modelling How Students Organize Knowledge. In Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2012) - KEOD; ISBN 978-989-8565-30-3; ISSN 2184-3228, SciTePress, pages 143-148. DOI: 10.5220/0004105201430148

@conference{keod12,
author={Ismo Koponen.},
title={Modelling How Students Organize Knowledge},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2012) - KEOD},
year={2012},
pages={143-148},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004105201430148},
isbn={978-989-8565-30-3},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2012) - KEOD
TI - Modelling How Students Organize Knowledge
SN - 978-989-8565-30-3
IS - 2184-3228
AU - Koponen, I.
PY - 2012
SP - 143
EP - 148
DO - 10.5220/0004105201430148
PB - SciTePress