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A Network Theory Approach to Curriculum Design

In this paper we hypothesize that education, especially at the scale of curriculum, should be treated as a complex system composed of different ideas and concepts which are inherently connected. Therefore, the task of a good teacher lies in elucidating these connections and helping students make the...

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Autores principales: O’Meara, John, Vaidya, Ashwin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534555/
https://www.ncbi.nlm.nih.gov/pubmed/34682070
http://dx.doi.org/10.3390/e23101346
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author O’Meara, John
Vaidya, Ashwin
author_facet O’Meara, John
Vaidya, Ashwin
author_sort O’Meara, John
collection PubMed
description In this paper we hypothesize that education, especially at the scale of curriculum, should be treated as a complex system composed of different ideas and concepts which are inherently connected. Therefore, the task of a good teacher lies in elucidating these connections and helping students make their own connections. Such a pedagogy allows students to personalize learning and strive to be ‘creative’ and make meaning out of old ideas. The novel contribution of this work lies in the mathematical approach we undertake to verify our hypothesis. We take the example of a precalculus course curriculum to make our case. We treat textbooks as exemplars of a specific pedagogy and map several texts into networks of isolated (nodes) and interconnected concepts (edges) thereby permitting computations of metrics which have much relevance to the education theorists, teachers and all others involved in the field of education. We contend that network metrics such as average path length, clustering coefficient and degree distribution provide valuable insights to teachers and students about the kind of pedagogy which encourages good teaching and learning.
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spelling pubmed-85345552021-10-23 A Network Theory Approach to Curriculum Design O’Meara, John Vaidya, Ashwin Entropy (Basel) Article In this paper we hypothesize that education, especially at the scale of curriculum, should be treated as a complex system composed of different ideas and concepts which are inherently connected. Therefore, the task of a good teacher lies in elucidating these connections and helping students make their own connections. Such a pedagogy allows students to personalize learning and strive to be ‘creative’ and make meaning out of old ideas. The novel contribution of this work lies in the mathematical approach we undertake to verify our hypothesis. We take the example of a precalculus course curriculum to make our case. We treat textbooks as exemplars of a specific pedagogy and map several texts into networks of isolated (nodes) and interconnected concepts (edges) thereby permitting computations of metrics which have much relevance to the education theorists, teachers and all others involved in the field of education. We contend that network metrics such as average path length, clustering coefficient and degree distribution provide valuable insights to teachers and students about the kind of pedagogy which encourages good teaching and learning. MDPI 2021-10-15 /pmc/articles/PMC8534555/ /pubmed/34682070 http://dx.doi.org/10.3390/e23101346 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
O’Meara, John
Vaidya, Ashwin
A Network Theory Approach to Curriculum Design
title A Network Theory Approach to Curriculum Design
title_full A Network Theory Approach to Curriculum Design
title_fullStr A Network Theory Approach to Curriculum Design
title_full_unstemmed A Network Theory Approach to Curriculum Design
title_short A Network Theory Approach to Curriculum Design
title_sort network theory approach to curriculum design
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534555/
https://www.ncbi.nlm.nih.gov/pubmed/34682070
http://dx.doi.org/10.3390/e23101346
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