Structural Analysis of the Curriculum Through a Bipartite Network

Durdica Vukic; Alen Jakupovic; Sanja Candrlic

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Paper

Structural Analysis of the Curriculum Through a Bipartite Network

Topics: Models of Complex Networks

In Proceedings of the 8th International Conference on Complexity, Future Information Systems and Risk COMPLEXIS - Volume 1, 53-60, 2023 , Prague, Czech Republic

Authors: Durdica Vukic ¹ ; Alen Jakupovic ² and Sanja Candrlic ¹

Affiliations: ¹ University of Rijeka, Faculty of Informatics and Digital Technologies, Rijeka, Croatia ; ² Polytechnic of Rijeka, Rijeka, Croatia

Keyword(s): Bipartite Network, Curriculum, Centrality Analysis, Cognitive Load.

Abstract: Investigation of curriculum elements in terms of knowledge content organisation can be based on two entities that support the process of knowledge acquisition: concepts and learning outcomes. Motivated by this structure of knowledge organisation, we construct curriculum knowledge content as a bipartite network of concepts and learning outcomes. Furthermore, we examine the applicability of centrality estimates in detecting key knowledge entities of curriculum content as well as possibilities to rethink the knowledge organisation and teaching. Results have shown that centrality analysis is particularly suitable for identifying concepts and learning outcomes that are key landmarks for managing cognitive load and improving learning retention.

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Paper citation in several formats:

Vukic, D.; Jakupovic, A. and Candrlic, S. (2023). Structural Analysis of the Curriculum Through a Bipartite Network. In Proceedings of the 8th International Conference on Complexity, Future Information Systems and Risk - COMPLEXIS; ISBN 978-989-758-644-6; ISSN 2184-5034, SciTePress, pages 53-60. DOI: 10.5220/0011854700003485

@conference{complexis23,
author={Durdica Vukic. and Alen Jakupovic. and Sanja Candrlic.},
title={Structural Analysis of the Curriculum Through a Bipartite Network},
booktitle={Proceedings of the 8th International Conference on Complexity, Future Information Systems and Risk - COMPLEXIS},
year={2023},
pages={53-60},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011854700003485},
isbn={978-989-758-644-6},
issn={2184-5034},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Complexity, Future Information Systems and Risk - COMPLEXIS
TI - Structural Analysis of the Curriculum Through a Bipartite Network
SN - 978-989-758-644-6
IS - 2184-5034
AU - Vukic, D.
AU - Jakupovic, A.
AU - Candrlic, S.
PY - 2023
SP - 53
EP - 60
DO - 10.5220/0011854700003485
PB - SciTePress