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Sandbox University: Estimating Influence of Institutional Action

The approach presented in this article represents a generalizable and adaptable methodology for identifying complex interactions in educational systems and for investigating how manipulation of these systems may affect educational outcomes of interest. Multilayer Minimum Spanning Tree and Monte-Carl...

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Detalles Bibliográficos
Autores principales: Forsman, Jonas, Mann, Richard P., Linder, Cedric, van den Bogaard, Maartje
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4108410/
https://www.ncbi.nlm.nih.gov/pubmed/25054313
http://dx.doi.org/10.1371/journal.pone.0103261
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author Forsman, Jonas
Mann, Richard P.
Linder, Cedric
van den Bogaard, Maartje
author_facet Forsman, Jonas
Mann, Richard P.
Linder, Cedric
van den Bogaard, Maartje
author_sort Forsman, Jonas
collection PubMed
description The approach presented in this article represents a generalizable and adaptable methodology for identifying complex interactions in educational systems and for investigating how manipulation of these systems may affect educational outcomes of interest. Multilayer Minimum Spanning Tree and Monte-Carlo methods are used. A virtual Sandbox University is created in order to facilitate effective identification of successful and stable initiatives within higher education, which can affect students' credits and student retention – something that has been lacking up until now. The results highlight the importance of teacher feedback and teacher-student rapport, which is congruent with current educational findings, illustrating the methodology's potential to provide a new basis for further empirical studies of issues in higher education from a complex systems perspective.
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spelling pubmed-41084102014-07-24 Sandbox University: Estimating Influence of Institutional Action Forsman, Jonas Mann, Richard P. Linder, Cedric van den Bogaard, Maartje PLoS One Research Article The approach presented in this article represents a generalizable and adaptable methodology for identifying complex interactions in educational systems and for investigating how manipulation of these systems may affect educational outcomes of interest. Multilayer Minimum Spanning Tree and Monte-Carlo methods are used. A virtual Sandbox University is created in order to facilitate effective identification of successful and stable initiatives within higher education, which can affect students' credits and student retention – something that has been lacking up until now. The results highlight the importance of teacher feedback and teacher-student rapport, which is congruent with current educational findings, illustrating the methodology's potential to provide a new basis for further empirical studies of issues in higher education from a complex systems perspective. Public Library of Science 2014-07-23 /pmc/articles/PMC4108410/ /pubmed/25054313 http://dx.doi.org/10.1371/journal.pone.0103261 Text en © 2014 Forsman et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Forsman, Jonas
Mann, Richard P.
Linder, Cedric
van den Bogaard, Maartje
Sandbox University: Estimating Influence of Institutional Action
title Sandbox University: Estimating Influence of Institutional Action
title_full Sandbox University: Estimating Influence of Institutional Action
title_fullStr Sandbox University: Estimating Influence of Institutional Action
title_full_unstemmed Sandbox University: Estimating Influence of Institutional Action
title_short Sandbox University: Estimating Influence of Institutional Action
title_sort sandbox university: estimating influence of institutional action
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4108410/
https://www.ncbi.nlm.nih.gov/pubmed/25054313
http://dx.doi.org/10.1371/journal.pone.0103261
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