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Authors: Ismo T. Koponen and Maija Nousiainen

Affiliation: University of Helsinki, Finland

Keyword(s): Conceptual Structures, Coherence, Networks.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Collaboration and e-Services ; e-Business ; Education and Training ; Enterprise Information Systems ; Knowledge Acquisition ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Semantic Web ; Simulation and Modeling ; Simulation Tools and Platforms ; Soft Computing ; Symbolic Systems

Abstract: The desired outcome of learning science is students’ expert-like subject knowledge, which is expected to be at the same time well-organized, coherent and contingent. However, it has proved difficult to find ways to represent these features and to identify the key conceptual elements or concepts that are responsible for them. In this study concept networks constructed by physics students’ representing their views of the relatedness of physics concepts are analyzed in order to clarify how coherence and contingency can be captured and measured. The data consist of concept networks (N=12) constructed by physics students, representing relationships between physics concepts of electricity and magnetism. The networks are first analyzed qualitatively for their epistemic acceptability. The structure of the concept networks is then analyzed quantitatively using a network graph theoretical approach. The analysis picks out a handful of key concepts which all play a central role in all of the con cept networks examined. From the physics point of view these key concepts are relevant ones (most of them having to do with fields), which indicates the relevance and power of the method in describing knowledge structures. (More)

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Paper citation in several formats:
T. Koponen, I. and Nousiainen, M. (2015). Finding the Key Concepts of Students’ Knowledge - A Network Analysis of Coherence and Contingency of Knowledge Structures. In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KEOD; ISBN 978-989-758-158-8; ISSN 2184-3228, SciTePress, pages 239-244. DOI: 10.5220/0005603102390244

@conference{keod15,
author={Ismo {T. Koponen}. and Maija Nousiainen.},
title={Finding the Key Concepts of Students’ Knowledge - A Network Analysis of Coherence and Contingency of Knowledge Structures},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KEOD},
year={2015},
pages={239-244},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005603102390244},
isbn={978-989-758-158-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KEOD
TI - Finding the Key Concepts of Students’ Knowledge - A Network Analysis of Coherence and Contingency of Knowledge Structures
SN - 978-989-758-158-8
IS - 2184-3228
AU - T. Koponen, I.
AU - Nousiainen, M.
PY - 2015
SP - 239
EP - 244
DO - 10.5220/0005603102390244
PB - SciTePress

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