The higher education space
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2019 |
| Outros Autores: | , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
| Texto Completo: | http://hdl.handle.net/10362/90876 |
Resumo: | Candia, C., Encarnação, S., & Pinheiro, F. L. (2019). The higher education space: connecting degree programs from individuals’ choices. EPJ Data Science, 8(1), [39]. https://doi.org/10.1140/epjds/s13688-019-0218-4 |
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The higher education spaceconnecting degree programs from individuals’ choicesComputational social sciencesHigher education systemsNetwork scienceModelling and SimulationComputer Science ApplicationsComputational MathematicsSDG 8 - Decent Work and Economic GrowthCandia, C., Encarnação, S., & Pinheiro, F. L. (2019). The higher education space: connecting degree programs from individuals’ choices. EPJ Data Science, 8(1), [39]. https://doi.org/10.1140/epjds/s13688-019-0218-4Data on the applicants’ revealed preferences when entering higher education is used as a proxy to build the Higher Education Space (HES) of Portugal (2008–2015) and Chile (2006–2017). The HES is a network that connects pairs of degree programs according to their co-occurrence in the applicants’ preferences. We show that both HES network structures reveal the existence of positive assortment in features such as gender balance, application scores, unemployment levels, academic demand/supply ratio, geographical mobility, and first-year drop-out rates. For instance, if a degree program exhibits a high prevalence of female candidates, its nearest degree programs in the HES will also tend to exhibit a higher prevalence when compared to the prevalence in the entire system. These patterns extend up to two or three links of separation, vanishing, or inverting for increasing distances. Moreover, we show that for demand/supply ratio and application scores a similar pattern occurs for time variations. Finally, we provide evidence that information embedded in the HES is not accessible by merely considering the features of degree programs independently. These findings contribute to a better understanding of the higher education systems at revealing and leveraging its non-trivial underlying organizing principles. To the best of our knowledge, this is the first network science approach for improving decision-making and governance in higher education systems.Centro Interdisciplinar de Ciências Sociais (CICS.NOVA - NOVA FCSH)NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNCandia, CristianEncarnação, SaraPinheiro, Flávio L.2020-01-07T23:33:38Z2019-12-012019-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/90876eng2193-1127PURE: 16215590https://doi.org/10.1140/epjds/s13688-019-0218-4info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:40:21Zoai:run.unl.pt:10362/90876Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:37:12.329520Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
| dc.title.none.fl_str_mv |
The higher education space connecting degree programs from individuals’ choices |
| title |
The higher education space |
| spellingShingle |
The higher education space Candia, Cristian Computational social sciences Higher education systems Network science Modelling and Simulation Computer Science Applications Computational Mathematics SDG 8 - Decent Work and Economic Growth |
| title_short |
The higher education space |
| title_full |
The higher education space |
| title_fullStr |
The higher education space |
| title_full_unstemmed |
The higher education space |
| title_sort |
The higher education space |
| author |
Candia, Cristian |
| author_facet |
Candia, Cristian Encarnação, Sara Pinheiro, Flávio L. |
| author_role |
author |
| author2 |
Encarnação, Sara Pinheiro, Flávio L. |
| author2_role |
author author |
| dc.contributor.none.fl_str_mv |
Centro Interdisciplinar de Ciências Sociais (CICS.NOVA - NOVA FCSH) NOVA Information Management School (NOVA IMS) Information Management Research Center (MagIC) - NOVA Information Management School RUN |
| dc.contributor.author.fl_str_mv |
Candia, Cristian Encarnação, Sara Pinheiro, Flávio L. |
| dc.subject.por.fl_str_mv |
Computational social sciences Higher education systems Network science Modelling and Simulation Computer Science Applications Computational Mathematics SDG 8 - Decent Work and Economic Growth |
| topic |
Computational social sciences Higher education systems Network science Modelling and Simulation Computer Science Applications Computational Mathematics SDG 8 - Decent Work and Economic Growth |
| description |
Candia, C., Encarnação, S., & Pinheiro, F. L. (2019). The higher education space: connecting degree programs from individuals’ choices. EPJ Data Science, 8(1), [39]. https://doi.org/10.1140/epjds/s13688-019-0218-4 |
| publishDate |
2019 |
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2019-12-01 2019-12-01T00:00:00Z 2020-01-07T23:33:38Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
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http://hdl.handle.net/10362/90876 |
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http://hdl.handle.net/10362/90876 |
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eng |
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eng |
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2193-1127 PURE: 16215590 https://doi.org/10.1140/epjds/s13688-019-0218-4 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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