Using data science for sustainable development in higher education

Detalhes bibliográficos
Autor(a) principal: Leal Filho, Walter
Data de Publicação: 2024
Outros Autores: 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
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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spelling 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
format article
status_str 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
dc.rights.driver.fl_str_mv metadata only access
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rights_invalid_str_mv metadata only access
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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