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Network analysis: An indispensable tool for curricula design. A real case-study of the degree on mathematics at the URJC in Spain

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  • Clara Simon de Blas
  • Daniel Gomez Gonzalez
  • Regino Criado Herrero

Abstract

Content addition to courses and its subsequent correct sequencing in a study plan or curricula design context determine the success (and, in some cases, the failure) of such study plan in the acquisition of knowledge by students. In this work, we propose a decision model to guide curricular design committees in the tasks of course selection and sequencing in higher education contexts using a novel methodology based on network analysis. In this work, the local and global properties stemming from complex network analysis tools are studied in detail to facilitate the design of the study plan and to ensure its coherence by detecting the communities within a graph, and the local and global centrality of the courses and their dependencies are analyzed, as well as the overlapping subgroups and the functions and different positions among them. The proposed methodology is applied to the study of a real case at the Universidad Rey Juan Carlos.

Suggested Citation

  • Clara Simon de Blas & Daniel Gomez Gonzalez & Regino Criado Herrero, 2021. "Network analysis: An indispensable tool for curricula design. A real case-study of the degree on mathematics at the URJC in Spain," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-21, March.
    • Handle: RePEc:plo:pone00:0248208
    DOI: 10.1371/journal.pone.0248208
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    References listed on IDEAS

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    1. Gómez, Daniel & Figueira, José Rui & Eusébio, Augusto, 2013. "Modeling centrality measures in social network analysis using bi-criteria network flow optimization problems," European Journal of Operational Research, Elsevier, vol. 226(2), pages 354-365.
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    Cited by:

    1. Zhang, Siliang & Chen, Yunxiao, 2024. "A note on Ising network analysis with missing data," LSE Research Online Documents on Economics 123984, London School of Economics and Political Science, LSE Library.

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