Using data science for sustainable development in higher education
Autor(a) principal: | |
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Data de Publicação: | 2024 |
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/10284/12661 |
Resumo: | https://v2.sherpa.ac.uk/id/publication/7577 |
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Using data science for sustainable development in higher educationBibliometricsCase studiesData scienceHigher Education Institutions (HEIs)Sustainable Development (SD)https://v2.sherpa.ac.uk/id/publication/7577Despite the abundance of studies focused on how higher education institutions (HEIs) are implementing sustainable development (SD) in their educational programmes, there is a paucity of interdisciplinary studies exploring the role of technology, such as data science, in an SD context. Further research is thus needed to identify how SD is being deployed in higher education (HE), generating positive externalities for society and the environment. This study aims to address this research gap by exploring various ways in which data science may support university efforts towards SD. The methodology relied on a bibliometric analysis to understand and visualise the connections between data science and SD in HE, as well as reporting on selected case studies showing how data science may be deployed for creating SD impact in HE and in the community. The results from the bibliometric analysis unveil five research strands driving this field, and the case studies exemplify them. This study can be considered innovative since it follows previous research on artificial intelligence and SD. Moreover, the combination of bibliometric analysis and case studies provides an overview of trends, which may be useful to researchers and decision-makers who wish to explore the use of data science for SD in HEIs. Finally, the findings highlight how data science can be used in HEIs, combined with a framework developed to support further research into SD in HE.WileyRepositório Institucional da Universidade Fernando PessoaLeal Filho, WalterEustachio, João Henrique Paulino PiresNita (Danila), Andreea CorinaDinis, Maria Alzira PimentaSalvia, Amanda LangeCotton, Debby R. E.Frizzo, KamilaTrevisan, Laís VieraDibbern, Thais2024-02-06T14:48:10Z2024-02-052024-02-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10284/12661engAPAth: Leal Filho, W., Eustachio, J. H. P. P., Danila, A. C. N., Dinis, M. A. P., Salvia, A. L., Cotton, D. R. E., Frizzo, K., Trevisan, L. V., & Dibbern, T. (2024). Using data science for sustainable development in higher education [Research article]. Sustainable Development, 32(1), 15-28. https://doi.org/10.1002/sd.26380968-080210.1002/sd.26381099-1719metadata only accessinfo: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:RCAAP2024-02-13T02:02:17Zoai:bdigital.ufp.pt:10284/12661Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:38:02.500901Repositório 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 |
Using data science for sustainable development in higher education |
title |
Using data science for sustainable development in higher education |
spellingShingle |
Using data science for sustainable development in higher education Leal Filho, Walter Bibliometrics Case studies Data science Higher Education Institutions (HEIs) Sustainable Development (SD) |
title_short |
Using data science for sustainable development in higher education |
title_full |
Using data science for sustainable development in higher education |
title_fullStr |
Using data science for sustainable development in higher education |
title_full_unstemmed |
Using data science for sustainable development in higher education |
title_sort |
Using data science for sustainable development in higher education |
author |
Leal Filho, Walter |
author_facet |
Leal Filho, Walter Eustachio, João Henrique Paulino Pires Nita (Danila), Andreea Corina Dinis, Maria Alzira Pimenta Salvia, Amanda Lange Cotton, Debby R. E. Frizzo, Kamila Trevisan, Laís Viera Dibbern, Thais |
author_role |
author |
author2 |
Eustachio, João Henrique Paulino Pires Nita (Danila), Andreea Corina Dinis, Maria Alzira Pimenta Salvia, Amanda Lange Cotton, Debby R. E. Frizzo, Kamila Trevisan, Laís Viera Dibbern, Thais |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório Institucional da Universidade Fernando Pessoa |
dc.contributor.author.fl_str_mv |
Leal Filho, Walter Eustachio, João Henrique Paulino Pires Nita (Danila), Andreea Corina Dinis, Maria Alzira Pimenta Salvia, Amanda Lange Cotton, Debby R. E. Frizzo, Kamila Trevisan, Laís Viera Dibbern, Thais |
dc.subject.por.fl_str_mv |
Bibliometrics Case studies Data science Higher Education Institutions (HEIs) Sustainable Development (SD) |
topic |
Bibliometrics Case studies Data science Higher Education Institutions (HEIs) Sustainable Development (SD) |
description |
https://v2.sherpa.ac.uk/id/publication/7577 |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-02-06T14:48:10Z 2024-02-05 2024-02-05T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
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article |
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publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10284/12661 |
url |
http://hdl.handle.net/10284/12661 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
APAth: Leal Filho, W., Eustachio, J. H. P. P., Danila, A. C. N., Dinis, M. A. P., Salvia, A. L., Cotton, D. R. E., Frizzo, K., Trevisan, L. V., & Dibbern, T. (2024). Using data science for sustainable development in higher education [Research article]. Sustainable Development, 32(1), 15-28. https://doi.org/10.1002/sd.2638 0968-0802 10.1002/sd.2638 1099-1719 |
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metadata only access info:eu-repo/semantics/openAccess |
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metadata only access |
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openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
Wiley |
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Wiley |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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