Data visualization model for extension projects - smart extension

Authors

DOI:

https://doi.org/10.5007/1518-2924.2023.e90992

Keywords:

Smart Campus, Social Impact, University Extension, Data visualization

Abstract

Objective: Analyze construct proposals within the Smart Campus literature and propose a data visualization model for social impact for university extension projects

Method: It uses a qualitative, exploratory approach and design science research to develop the model (artifact). To ensure the reproducibility of the artifact, the retrieval of the works used as a reference to propose the model was carried out based on a systematic literature review, while for the correction and validation of the model, interviews with experts are carried out using a semi-structured script.

Result: The research obtained the following results: (i) identification of constructs developed in Smart environments related to higher education institutions as outlines of improvements in internal processes; and (ii) the development of two visualization models, a general one applicable to other environments on a university campus and a specific one for extension projects.

Conclusions: The visualization model for extension projects has representational potential, demonstrating aspects, components and the operational structures and human resources necessary for its application in academic practice, implying in the improvement of extension management practices.

Downloads

Download data is not yet available.

Author Biographies

Rafael Ferreira dos, Federal University of Paraná

Rafael Ferreira dos Santos works as Academic Regulation Analyst in the Assistant Regulation Board of Grupo Cruzeiro do Sul. Master in Information Management from the Federal University of Paraná (UFPR). Specialist in Applied Statistics by Anhanguera. MBA in Business Intelligence from Universidade Positivo. Degree in Economic Sciences from Universidade Positivo. He is interested in research in the following topics: Management and use of information for decision making, Smart Technologies, Higher Education Indicators.

Taiane Ritta , Federal University of Paraná

Taiane Ritta Coelho is a professor at the Department of Science and Information Management and a researcher linked to the Postgraduate Program in Information Management at the Federal University of Paraná – UFPR. Doctor in Business Administration from Fundação Getulio Vargas (FGV-EAESP), with a sandwich doctorate period at École des Hautes Éstudes Commerciales de Montréal (HEC Montréal). Master in Business Administration from the Federal University of Paraná (2014), in the area of technology and innovation. She holds a degree in Business Administration from the Pontifical Catholic University of Paraná (2010) and a Technical course in Telecommunications Systems from IF-Sul (2004). Leader of the Theories in Information Administration at ANPAD. He is mainly interested, in terms of scientific research, in the following topics: Use of technology, e-Participation, IT Governance and Social Media.

References

ABUALNAAJ, K.; AHMED, V.; SABOOR, S. A strategic framework for Smart Campus. In: International Conference On Industrial Engineering And Operations Management, 2020, Dubai. Proceedings... Dubai: IEOM Society International, 2020. p. 790-798.

ADENLE, Y. A. et al. Assessing the relative importance of sustainability indicators for Smart Campuses: A case of higher education institutions in Nigeria. Environmental and Sustainability Indicators, [S.l.], v. 9, 2021.

ALRASHED, S. Key performance indicators for Smart Campus and Microgrid. Sustainable Cities and Society, [S.l.], v. 60, p. 102264, 2020.

AMORIM, J. M. G. de; BUVINICH, M. J. R. Sistema de indicadores para o monitoramento e avaliação das ações de extensão: o caso da UFPB. In: Encontro Nacional de Engenharia de Produção, 32., Bento Gonçalves, RS, 2012. Anais... Bento Gonçalves, RS: [s.n.], 2012. p.1-14.

AN, R.; XI, T. Research on the service design of Smart Campus based on sustainable: strategy – taking smart canteen as an example. In: MARCUS, A.; ROSENZWEIG, E. (Ed.). Design, User Experience, and Usability: case studies in public and personal interactive systems. [S.l.]: Springer Cham, 2020. p. 20-30.

ARENA, M.; AZZONE, G.; BENGO, I. Performance measurement for social enterprises. Voluntas: International Journal of Voluntary and Nonprofit Organizations, [S.l.], v. 26, n. 2, p. 649-672, 2015.

BANDEIRA, L. K. R. ARAÚJO NETO, M. S. Smart Campus: Um conceito emergente. Perspectivas em Gestão & Conhecimento; v. 12, n. 1, p. 175-188, 2022.

BARBISAN, A. O. Avaliação Institucional da Extensão: conceitos, níveis, parâmetros e indicadores. Avaliação: revista da avaliação da educação superior, [S.l.], v. 7, n. 3, p. 57-101, 2002.

BARBISAN, A. O. Modelo institucional de avaliação da extensão: parâmetros e indicadores. Avaliação: revista da avaliação da educação superior, [S.l.], v. 5, n. 2, p. 67-86, 2000.

BERDNIKOVA, L. F. et al. Human Resource Management System Development at Smart University. In: USKOV, V.; HOWLETT, R.; JAIN, L. (Ed.). Smart Education and e-Learning 2020: smart innovation, systems and technologies. Singapore: Springer, 2020. v. 188. p. 327-337.

BRANDÃO, D.; CRUZ, C.; ARIDA, A. L. Métricas em negócios de impacto social: fundamentos. São Paulo: ICE: Move, 2014. p. 1–15. Disponível em: http://ice.org.br/wp-content/uploads/pdfs/metricas_negocios_impacto_social_ICE_MOVE.pdf. Acesso em: 8 set. 2021.

BRASIL. Ministério da Educação. Resolução nº 7 de 18 de dezembro de 2018. Estabelece as Diretrizes para a Extensão na Educação Superior Brasileira e regimenta o disposto na Meta 12.7 da Lei nº 13.005/2014, que aprova o Plano Nacional de Educação - PNE 2014-2024 e dá outras providências. Diário Oficial da União. Brasília, DF, 19 dez. 2018. 243. ed. Seção 1, p. 49-50.

CAO, J. et al. Research on the construction of smart university campus based on big data and cloud computing. In: International Conference On Engineering Simulation And Intelligent Control, 2018, Hunan. Anais... Hunan: IEEE, 2018. p. 351-353.

CECCARINI, C. et al. A data visualization exploration to facilitate a sustainable usage of premises in a Smart Campus context. In: Eai International Conference On Smart Objects And Technologies For Social Good, 6., 2020, Antwerp. Anais... Nova York: ACM, 2020. p. 24-29.

CUNHA, E. P.; GUIMARÃES, M. B. Sistema de monitoramento e avaliação. In: NOGUEIRA, M. das D. P. (Org.). Avaliação da extensão universitária: práticas e discussões da comissão permanente de avaliação da extensão. Belo Horizonte: FORPROEX/CPAE: PROEX/UFMG, 2013. p. 52-74. (coleção extensão universitária, 8). Disponível em: https:// www.ufmg.br/proex/renex/images/avaliação_da_extensão-_livro_8.pdf. Acesso em: 30 jan. 2021.

DALBEN, Â. I. L. de F.; VIANNA, P. C. de M. Gestão e avaliação da extensão universitária: a construção de indicadores de qualidade. Interagir: pensando a extensão, Rio de Janeiro, n. 13, p. 31-39, 2008.

DRESCH, A.; LACERDA, D. P.; ANTUNES JUNIOR, J. A. V. Design science research: método de pesquisa para avanço da Ciência e Tecnologia. Porto Alegre: Bookman, 2015.

FABIANI, P. et al. Avaliação de impacto social metodologias e reflexões. Instituto para o Desenvolvimento do Investimento Social, 2018. Disponível em: https://www.idis.org.br/publicacoesidis/avaliacao-de-impacto-social-metodologias-e-reflexoes/. Acesso em: 2 nov. 2020.

FERENHOF, H. A.; FERNANDES, R. F. Desmistificando a revisão de literatura como base para redação científica: método SSF. Revista ACB: Biblioteconomia em Santa Catarina, Florianópolis, v. 21, n. 3, p. 550-563, ago./nov. 2016.

FERREIRA, F. H. C.; ARAÚJO, R. M. de. Campus Inteligentes: Conceitos, aplicações, tecnologias e desafios. Relatórios Técnicos do Departamento de Informática Aplicada da UNIRIO, Rio de Janeiro, n. 003, p. 1-19, 2018.

FÓRUM DE PRÓ-REITORES DE EXTENSÃO DAS INSTITUIÇÕES PÚBLICAS DE EDUCAÇÃO SUPERIOR BRASILEIRAS (FORPROEX). Conceito de extensão, institucionalização e financiamento. In: Encontro de Pró-Reitores de Extensão das Universidades Públicas Brasileiras, 1., 1987, Brasília, DF. Anais... Brasília, DF: UNB, 1987. Disponível em: https://www.ufmg.br/proex/renex/images/documentos/1987-I-Encontro-Nacional-do-FORPROEX.pdf. Acesso em: 22 nov. 2020.

HEVNER, A. R. et al. Design science in information systems research. Management Information Systems Quarterly, v. 28, n. 1, p. 75-105, mar. 2004.

HIDAYAT, W. et al. Developing Smart Campus Readiness Instrument Based on Pagliaro’s Smart Campus Model and Smart City Council’s Readiness Framework. Journal of Physics: Conference Series, [S.l.], v. 1783, p. 1-9, 2021.

JIA, Y. Construction and Application of Intelligent Campus in Colleges and Universities Under the Background of Big Data. Advances in Intelligent Systems and Computing. Proceedings... v. 929, p.866-872, 2019.

JURVA, R. et al. Architecture and Operational Model for Smart Campus Digital Infrastructure. Wireless Personal Communications, [S.l.], v. 113, p. 1437-1454, 2020.

KAH, S.; AKENROYE, T. Evaluation of social impact measurement tools and techniques: a systematic review of the literature. Social Enterprise Journal, [S.l.], v. 16, n. 4, p. 381-402, 2020.

LI, W. Design of Smart Campus management system based on internet of things technology. Journal of Intelligent & Fuzzy Systems, [S.l.], v. 40, n. 2, p. 3159-3168, 2021.

LIHONG, W. Research on the Construction of Smart Campus Social Platform Based on Hadoop. In: International Conference On Computer Engineering And Application, 2020, Guangzhou. Proceedings... Guangzhou: IEEE, 2020. p. 214–217.

LIU, Miao; MA, JinNan; JIN, Lei. Analysis of Military Academy Smart Campus Based on Big Data. In: 2018 10th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2018, Hangzhou, CN. Proceedings… Hangzhou, CN: IEEE, 2018. p. 105-108.

LUO, L. Data Acquisition and Analysis of Smart Campus Based on Wireless Sensor. Wireless Personal Communications, [S.l.], v. 102, n. 4, p. 2897–2911, 2018.

MA, N.; FU, W. Analysis of cloud computing algorithm based on Smart Campus message system. International Journal of Performability Engineering, [S.l.], v. 15, n. 2, p. 700-709, 2019.

MAXIMIANO JR, Manuel (Org.). Indicadores Brasileiros de Extensão Universitária (IBEU). Campina Grande, PB: Editora da Universidade Federal de Campina Grande, 2017.

MITROFANOVA, Y. S.; SHERSTOBITOVA, A. A.; FILIPPOVA, O. A. Modeling the assessment of definition of a smart university infrastructure development level. In: USKOV, V.; HOWLETT, R.; JAIN, L. (Ed.). Smart Education and e-Learning 2019: Smart Innovation, Systems and Technologies. Singapore: Springer, 2019. v. 144. p.573-582.

MODEL. In: Free on-line dictionary of computing. Disponível em: http://foldoc.org/. Acesso em: 10 set. 2021.

MONTI, L.; PRANDI, C.; MIRRI, S. IoT and data visualization to enhance hyperlocal data in a Smart Campus context. In: EAI International Conference on Smart Objects and Technologies for Social Good, 4., 2018, Bologna. Proceedings... Bologna: [s.n.], 2018. p.1–6.

MURAD, E. P.; CAPPELLE, M. C. A.; ANDRADE, D. M. Mensuração e avaliação de impacto social de empreendimentos sociais. Revista Pensamento Contemporâneo em Administração, Rio de Janeiro, v. 14, n. 3, p. 63–78, jul./set. 2020.

NOGUEIRA, M. das D. P. (Org.) Avaliação da extensão universitária: práticas e discussões da comissão permanente de avaliação da extensão. Belo Horizonte: FORPROEX/CPAE: PROEX/UFMG, 2013. (coleção extensão universitária, 8). Disponível em: https://www.ufmg.br/proex/renex/images/avaliação_da_extensão-_livro_8.pdf. Acesso em: 30 jan. 2021.

NUNES, A. L. de P. F.; SILVA, M. B. da C. A extensão universitária no ensino superior e a sociedade. Mal-Estar e Sociedade. Barbacena, v. 4, n. 7, p. 119-133, 2011.

PEFFERS, K. et al. A design science research methodology for information systems research. Journal of Management Information Systems, [S.l.], v. 24, n. 3, p. 45–77, 2007.

PHAM, T. V. et al. Proposed Smart University Model as a Sustainable Living Lab for University Digital Transformation. In: International Conference On Green Technology And Sustainable Development, 5., 2020, Ho Chi Minh City. Proceedings... Ho Chi Minh City: IEEE, 2020. p. 472-479.

POMPEI, L. et al. Composite Indicators for Smart Campus: Data Analysis Method. Proceedings – 2018. In: International Conference On Environment And Electrical Engineering And 2018 Industrial And Commercial Power Systems Europe, Eeeic/I And Cps Europe 2018, Palermo. Proceedings... Palermo: IEEE, 2018. p. 1-6.

PRANDI, C.; MONTI, L.; CECCARINI, C.; SALOMONI, P. Smart Campus: Fostering the Community Awareness Through an Intelligent Environment. Mobile Networks and Applications, [S.l.], v. 25, n. 3, p. 945-952, 2020.

RAVAT, Franck; ZHAO, Yan. Data lakes: Trends and perspectives. In: International Conference on Database and Expert Systems Applications, 2019, Springer. Proceedings… Springer, Cham, 2019. p. 304-313.

RICO-BAUTISTA, D.; MAESTRE-GONGORA, G.; GUERRERO, C. D. Smart university: IoT adoption model. In: Fourth World Conference On Smart Trends In Systems, Security And Sustainability (WorldS4), 2020, London. Proceedings... London: IEEE, 2020. p. 821-826.

SCHENATZ, B. N. Smart Campus e Analytics para a redução da evasão e promoção da permanência no ensino superior: um estudo de caso. 2019. 257 f. 2019. Tese (Doutorado em Administração) - Escola de Administração de Empresas de São Paulo, Fundação Getúlio Vargas, São Paulo, 2019.

SOUSA, A. I.; MEIRELLIS F. S. C. Gestão e institucionalização da extensão universitária. In: NOGUEIRA, M. das D. P. (Org.). Avaliação da extensão universitária: práticas e discussões da comissão permanente de avaliação da extensão. Belo Horizonte: FORPROEX/CPAE: PROEX/UFMG, 2013. p. 52-74. (coleção extensão universitária, 8). Disponível em: https:// www.ufmg.br/proex/renex/images/avaliação_da_extensão-_livro_8.pdf. Acesso em: 30 jan. 2021.

TANG, C. et al. Fog-Enabled Smart Campus: Architecture and Challenges. In: LI, J.; LIU, Z.; PENG, H. (Ed.). Security and Privacy in New Computing Environments (SPNCE 2019). [S.l.]: Springer Cham, 2019. p. 605-614.

VANCLAY, F. International principles for social impact assessment. Impact Assessment and Project Appraisal, Guildford, v. 21, n. 1, p. 5-11, mar. 2003.

VENDRÚSCOLO, J. de B. G. Um sistema de Business Intelligence para a extensão universitária. 2020. 175 f. Dissertação (Mestrado em Administração Universitária) - Centro Socioeconômico, Universidade Federal de Santa Catarina. Florianópolis, 2020.

VILLEGAS-CH, W. et al. Application of a big data framework for data monitoring on a Smart Campus. Sustainability, Switzerland, v. 11, n. 20, p. 1-15, 2019.

VILLEGAS-CH, W.; PALACIOS-PACHECO, X.; LUJÁN-MORA, S. Application of a smart city model to a traditional university campus with a big data architecture: a sustainable Smart Campus. Sustainability, Switzerland, v. 11, n. 10, 2019.

VIÑÁN-LUDEÑA, M. S. et al. Smart university: An architecture proposal for information management using open data for research projects. In: ROCHA, Á. et al. (Ed). Information Technology and Systems (ICITS 2020). [S.l.]: Springer Cham, 2020. p. 172-178.

WARD, S. et al. CampuseMonitor: intelligent campus environment room monitoring system. In: ACM Siguccs User Services Conference, 2019, New Orleans. Proceedings... New Orleans: ACM, 2019. p.165-172.

XU, X.; WANG, Y.; YU, S. Teaching performance evaluation in Smart Campus. IEEE Access, [S.l.], v. 6, p. 77754–77766, 2018.

YAN, H.; HU, H. A study on association algorithm of Smart Campus mining platform based on big data. In: International Conference On Intelligent Transportation, Big Data And Smart City, 2016, Changsha. Proceedings... Changsha: IEEE, 2017. p.172-175.

YANG, C. T. et al. On construction of an energy monitoring service using big data technology for the Smart Campus. Cluster Computing, [S.l.], v. 23, n. 1, p. 265-288, 2019.

ZANDAVALLI, C.; DANDOLINI, G. A. Indicadores e métricas para mensurar o impacto social em empresas e negócios sociais: revisão integrativa da literatura. In: Seminários em Administração da Faculdade de Economia, Administração e Contabilidade, 22., 2019, São Paulo. Anais..., São Paulo: XXII SEMEAD, 2019.

ZHAN, X.; LU, J.; YUAN, H. Research on the Application of Decision Support System on Smart Campus. In: International Conference On Computer Network, Electronic And Automation, 2., 2019, Xi'an. Proceedings... Xi'an: IEEE, 2019. p.462–467.

ZHANG, Y.; LIU, Q.; MENG, Q. Two-way recommendation system for intelligent employment of college students based on data mining. In: SUGUMARAN, V.; XU, Z.; ZHOU, H. (Ed.). Application of Intelligent Systems in Multi-modal Information Analytics (MMIA 2020). [S.l.]: Springer Cham, 2020. p. 286-292.

ZHOU, X. Application Research of Face Recognition Technology in Smart Campus. Journal of Physics: Conference Series, [S.l.], v. 1437, p. 1-7, 2020.

Published

2023-04-06

How to Cite

RAFAEL FERREIRA DOS; TAIANE RITTA. Data visualization model for extension projects - smart extension. Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação, [S. l.], v. 28, p. 1–22, 2023. DOI: 10.5007/1518-2924.2023.e90992. Disponível em: https://periodicos.ufsc.br/index.php/eb/article/view/90992. Acesso em: 17 may. 2024.

Similar Articles

<< < 1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.