Academic Analytics in practice: Aggregate and analyse multiple data sources

Detalhes bibliográficos
Autor(a) principal: Ferreira, Sérgio André
Data de Publicação: 2013
Outros Autores: Andrade, António Manuel Valente de
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.34632/investigacaoeducacional.2013.3396
Resumo: Higher education institutions (HEIs) use several technological subsystems for the management of multiple aspects of the organization, which collect a huge amount of data from these subsystems, but which do not communicate with each other. The idea of the Analytics in Education is based on the possibility of using this data in an aggregated way in the process of decision making and the development of new models in management. Using the reality of the Universidade Católica Portuguesa – Porto as a starting point, we present the architecture and the results achieved in the development of a prototype of Academic Analytics, for the management of teaching activity at the institution, which aggregates data from three technological subsystems. Three main contributions resulted from this study: i) Theoretical – Analytics in Education is a new theme with rapid rising interest, and therefore it is difficult to maintain a stable discourse when defining concepts and describing processes. In this context, we present a reflection on the main issues discussed and list the most relevant concepts; ii) Methodology – The rationale and application of the Model Design Science Research Process (DSRP), which, despite its versatility in the field of presentation of artifacts, still has little importance in the field of Information Systems (IS) applied to Social and Human Sciences; iii) Practical – Presentation of a prototype of an Academic Analytics system.
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spelling Academic Analytics in practice: Aggregate and analyse multiple data sourcesAcademic Analytics na prática: agregar e analisar múltiplas fontes de dadosHigher education institutions (HEIs) use several technological subsystems for the management of multiple aspects of the organization, which collect a huge amount of data from these subsystems, but which do not communicate with each other. The idea of the Analytics in Education is based on the possibility of using this data in an aggregated way in the process of decision making and the development of new models in management. Using the reality of the Universidade Católica Portuguesa – Porto as a starting point, we present the architecture and the results achieved in the development of a prototype of Academic Analytics, for the management of teaching activity at the institution, which aggregates data from three technological subsystems. Three main contributions resulted from this study: i) Theoretical – Analytics in Education is a new theme with rapid rising interest, and therefore it is difficult to maintain a stable discourse when defining concepts and describing processes. In this context, we present a reflection on the main issues discussed and list the most relevant concepts; ii) Methodology – The rationale and application of the Model Design Science Research Process (DSRP), which, despite its versatility in the field of presentation of artifacts, still has little importance in the field of Information Systems (IS) applied to Social and Human Sciences; iii) Practical – Presentation of a prototype of an Academic Analytics system.As instituições do ensino superior (IES) utilizam diversos subsistemas tecnológicos para gestão das várias dimensões da vida da organização, que recolhem um imenso volume de dados proveniente desses subsistemas, mas que não comunicam entre si. A ideia do Analytics na Educação alicerça-se no potencial da utilização agregada destes dados para o processo de tomada de decisão e no desenvolvimento de novos modelos na gestão. Partindo-se do caso da realidade da Universidade Católica Portuguesa – Porto, apresentam-se a arquitetura e os resultados alcançados no desenvolvimento de um protótipo de Academic Analytics, para a gestão da atividade de ensino na instituição, que agrega dados de três subsistemas tecnológicos. Deste trabalho resultam três contributos principais: i) Teórico – O Analytics na Educação é um tema novo e em rápida ascensão, sendo, por isso, difícil manter um discurso estável na defi nição de conceitos e descrição de processos. Neste quadro, apresenta-se uma refl exão sobre as principais questões discutidas e são colocados em relação os conceitos mais relevantes; ii) Metodológico – A fundamentação e aplicação do modelo Design Science Research Process (DSRP), que, apesar da sua versatilidade no campo da apresentação de artefactos, ainda tem pouca expressão no campo dos Sistemas da Informação (SI) aplicados às Ciências Sociais e Humanas; iii) Prático – Apresentação do protótipo de um sistema de Academic Analytics.Universidade Católica Portuguesa2013-01-01T00:00:00Zjournal articleinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.34632/investigacaoeducacional.2013.3396oai:ojs.revistas.ucp.pt:article/3396Revista Portuguesa de Investigação Educacional; n. 13 (2013): Gestão e organização escolar; 235-2602182-46141645-400610.34632/investigacaoeducacional.2013.n13reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPporhttps://revistas.ucp.pt/index.php/investigacaoeducacional/article/view/3396https://doi.org/10.34632/investigacaoeducacional.2013.3396https://revistas.ucp.pt/index.php/investigacaoeducacional/article/view/3396/3293Direitos de Autor (c) 2013 Sérgio André Ferreira, António Manuel Valente de Andradehttp://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessFerreira, Sérgio AndréAndrade, António Manuel Valente de2022-05-24T16:54:52Zoai:ojs.revistas.ucp.pt:article/3396Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T14:57:55.034756Repositório 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 Academic Analytics in practice: Aggregate and analyse multiple data sources
Academic Analytics na prática: agregar e analisar múltiplas fontes de dados
title Academic Analytics in practice: Aggregate and analyse multiple data sources
spellingShingle Academic Analytics in practice: Aggregate and analyse multiple data sources
Ferreira, Sérgio André
title_short Academic Analytics in practice: Aggregate and analyse multiple data sources
title_full Academic Analytics in practice: Aggregate and analyse multiple data sources
title_fullStr Academic Analytics in practice: Aggregate and analyse multiple data sources
title_full_unstemmed Academic Analytics in practice: Aggregate and analyse multiple data sources
title_sort Academic Analytics in practice: Aggregate and analyse multiple data sources
author Ferreira, Sérgio André
author_facet Ferreira, Sérgio André
Andrade, António Manuel Valente de
author_role author
author2 Andrade, António Manuel Valente de
author2_role author
dc.contributor.author.fl_str_mv Ferreira, Sérgio André
Andrade, António Manuel Valente de
description Higher education institutions (HEIs) use several technological subsystems for the management of multiple aspects of the organization, which collect a huge amount of data from these subsystems, but which do not communicate with each other. The idea of the Analytics in Education is based on the possibility of using this data in an aggregated way in the process of decision making and the development of new models in management. Using the reality of the Universidade Católica Portuguesa – Porto as a starting point, we present the architecture and the results achieved in the development of a prototype of Academic Analytics, for the management of teaching activity at the institution, which aggregates data from three technological subsystems. Three main contributions resulted from this study: i) Theoretical – Analytics in Education is a new theme with rapid rising interest, and therefore it is difficult to maintain a stable discourse when defining concepts and describing processes. In this context, we present a reflection on the main issues discussed and list the most relevant concepts; ii) Methodology – The rationale and application of the Model Design Science Research Process (DSRP), which, despite its versatility in the field of presentation of artifacts, still has little importance in the field of Information Systems (IS) applied to Social and Human Sciences; iii) Practical – Presentation of a prototype of an Academic Analytics system.
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https://doi.org/10.34632/investigacaoeducacional.2013.3396
https://revistas.ucp.pt/index.php/investigacaoeducacional/article/view/3396/3293
dc.rights.driver.fl_str_mv Direitos de Autor (c) 2013 Sérgio André Ferreira, António Manuel Valente de Andrade
http://creativecommons.org/licenses/by-nc-nd/4.0
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rights_invalid_str_mv Direitos de Autor (c) 2013 Sérgio André Ferreira, António Manuel Valente de Andrade
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dc.publisher.none.fl_str_mv Universidade Católica Portuguesa
publisher.none.fl_str_mv Universidade Católica Portuguesa
dc.source.none.fl_str_mv Revista Portuguesa de Investigação Educacional; n. 13 (2013): Gestão e organização escolar; 235-260
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