Security and privacy in academic data management at schools: SPADATAS Project

Detalhes bibliográficos
Autor(a) principal: Amo-Filva, Daniel
Data de Publicação: 2023
Outros Autores: Escudero, David Fonseca, Sanchez-Sepulveda, Mónica V., García-Holgado, Alicia, García-Holgado, Lucía, García-Peñalvo, Francisco José, Orehovački, Tihomir, Krašna, Marjan, Pesek, Igor, Marchetti, Emanuela, Valente, Andrea, Witfelt, Claus, Ružić, Ivana, Fraoua, Karim Elia, Moreira, Fernando
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/11328/4927
https://doi.org/10.1007/978-3-031-34411-4_1
Resumo: The introduction of cloud technology in educational settings over the past ten years has enabled organizations to embrace a data-driven decision-making paradigm. Schools and colleges are undergoing rapid digital updating procedures due to the use of outside technological solutions in the cloud, affecting how students learn and are taught. Regarding data, teaching and learning processes are improved by technology that gathers and analyzes student data to present useful information. With this technological shift comes the pervasiveness of data thanks to cloud storage. This means that in many instances, outside the purview of schools and universities, certain actors may gather, manage, and treat educational data on private servers and data centers. This privatization allows data leaks, record manipulation, and unwanted access. To help primary and secondary schools understand what data-driven decision-making entails for an educational institution and what problems with data fragility are related to current educational technology and data academic management, the current paper outlines the main goals of the SPADATAS project, its organizational structure, and its key issues. It also offers tools and frameworks to safeguard the privacy, security, and confidentiality of students’ data.
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spelling Security and privacy in academic data management at schools: SPADATAS ProjectAcademic dataPrivacySecurityManagementConfidentially of student’s dataThe introduction of cloud technology in educational settings over the past ten years has enabled organizations to embrace a data-driven decision-making paradigm. Schools and colleges are undergoing rapid digital updating procedures due to the use of outside technological solutions in the cloud, affecting how students learn and are taught. Regarding data, teaching and learning processes are improved by technology that gathers and analyzes student data to present useful information. With this technological shift comes the pervasiveness of data thanks to cloud storage. This means that in many instances, outside the purview of schools and universities, certain actors may gather, manage, and treat educational data on private servers and data centers. This privatization allows data leaks, record manipulation, and unwanted access. To help primary and secondary schools understand what data-driven decision-making entails for an educational institution and what problems with data fragility are related to current educational technology and data academic management, the current paper outlines the main goals of the SPADATAS project, its organizational structure, and its key issues. It also offers tools and frameworks to safeguard the privacy, security, and confidentiality of students’ data.Springer2023-07-12T17:30:26Z2023-07-122023-06-09T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfAmo-Filva, D., Escudero, D. F., Sanchez-Sepulveda, M. V., García-Holgado, A., García-Holgado, L., García-Peñalvo, F. J., Orehovački, T., Krašna, M., Pesek, I., Marchetti, E., Valente, A., Witfelt, C., Ružić, I., Fraoua, K. E., & Moreira, F. (2023). Security and privacy in academic data management at schools: SPADATAS Project. In P. Zaphiris, & A. Ioannou (Eds.), [Proceedings of] Learning and Collaboration Technologies 10th International Conference, LCT 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Part I (Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14040), Copenhagen, Denmark, 23-28 july 2023, (pp. 3-16). Springer. https://doi.org/10.1007/978-3-031-34411-4_1. Repositório Institucional UPT. http://hdl.handle.net/11328/4927http://hdl.handle.net/11328/4927Amo-Filva, D., Escudero, D. F., Sanchez-Sepulveda, M. V., García-Holgado, A., García-Holgado, L., García-Peñalvo, F. J., Orehovački, T., Krašna, M., Pesek, I., Marchetti, E., Valente, A., Witfelt, C., Ružić, I., Fraoua, K. E., & Moreira, F. (2023). Security and privacy in academic data management at schools: SPADATAS Project. In P. Zaphiris, & A. Ioannou (Eds.), [Proceedings of] Learning and Collaboration Technologies 10th International Conference, LCT 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Part I (Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14040), Copenhagen, Denmark, 23-28 july 2023, (pp. 3-16). Springer. https://doi.org/10.1007/978-3-031-34411-4_1. Repositório Institucional UPT. http://hdl.handle.net/11328/4927http://hdl.handle.net/11328/4927https://doi.org/10.1007/978-3-031-34411-4_1eng978-3-031-34411-4978-3-031-34410-7https://link.springer.com/chapter/10.1007/978-3-031-34411-4_1#citeasinfo:eu-repo/semantics/restrictedAccessinfo:eu-repo/semantics/openAccessAmo-Filva, DanielEscudero, David FonsecaSanchez-Sepulveda, Mónica V.García-Holgado, AliciaGarcía-Holgado, LucíaGarcía-Peñalvo, Francisco JoséOrehovački, TihomirKrašna, MarjanPesek, IgorMarchetti, EmanuelaValente, AndreaWitfelt, ClausRužić, IvanaFraoua, Karim EliaMoreira, Fernandoreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-24T02:05:01Zoai:repositorio.upt.pt:11328/4927Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:31:52.178065Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Security and privacy in academic data management at schools: SPADATAS Project
title Security and privacy in academic data management at schools: SPADATAS Project
spellingShingle Security and privacy in academic data management at schools: SPADATAS Project
Amo-Filva, Daniel
Academic data
Privacy
Security
Management
Confidentially of student’s data
title_short Security and privacy in academic data management at schools: SPADATAS Project
title_full Security and privacy in academic data management at schools: SPADATAS Project
title_fullStr Security and privacy in academic data management at schools: SPADATAS Project
title_full_unstemmed Security and privacy in academic data management at schools: SPADATAS Project
title_sort Security and privacy in academic data management at schools: SPADATAS Project
author Amo-Filva, Daniel
author_facet Amo-Filva, Daniel
Escudero, David Fonseca
Sanchez-Sepulveda, Mónica V.
García-Holgado, Alicia
García-Holgado, Lucía
García-Peñalvo, Francisco José
Orehovački, Tihomir
Krašna, Marjan
Pesek, Igor
Marchetti, Emanuela
Valente, Andrea
Witfelt, Claus
Ružić, Ivana
Fraoua, Karim Elia
Moreira, Fernando
author_role author
author2 Escudero, David Fonseca
Sanchez-Sepulveda, Mónica V.
García-Holgado, Alicia
García-Holgado, Lucía
García-Peñalvo, Francisco José
Orehovački, Tihomir
Krašna, Marjan
Pesek, Igor
Marchetti, Emanuela
Valente, Andrea
Witfelt, Claus
Ružić, Ivana
Fraoua, Karim Elia
Moreira, Fernando
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Amo-Filva, Daniel
Escudero, David Fonseca
Sanchez-Sepulveda, Mónica V.
García-Holgado, Alicia
García-Holgado, Lucía
García-Peñalvo, Francisco José
Orehovački, Tihomir
Krašna, Marjan
Pesek, Igor
Marchetti, Emanuela
Valente, Andrea
Witfelt, Claus
Ružić, Ivana
Fraoua, Karim Elia
Moreira, Fernando
dc.subject.por.fl_str_mv Academic data
Privacy
Security
Management
Confidentially of student’s data
topic Academic data
Privacy
Security
Management
Confidentially of student’s data
description The introduction of cloud technology in educational settings over the past ten years has enabled organizations to embrace a data-driven decision-making paradigm. Schools and colleges are undergoing rapid digital updating procedures due to the use of outside technological solutions in the cloud, affecting how students learn and are taught. Regarding data, teaching and learning processes are improved by technology that gathers and analyzes student data to present useful information. With this technological shift comes the pervasiveness of data thanks to cloud storage. This means that in many instances, outside the purview of schools and universities, certain actors may gather, manage, and treat educational data on private servers and data centers. This privatization allows data leaks, record manipulation, and unwanted access. To help primary and secondary schools understand what data-driven decision-making entails for an educational institution and what problems with data fragility are related to current educational technology and data academic management, the current paper outlines the main goals of the SPADATAS project, its organizational structure, and its key issues. It also offers tools and frameworks to safeguard the privacy, security, and confidentiality of students’ data.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-12T17:30:26Z
2023-07-12
2023-06-09T00:00:00Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv Amo-Filva, D., Escudero, D. F., Sanchez-Sepulveda, M. V., García-Holgado, A., García-Holgado, L., García-Peñalvo, F. J., Orehovački, T., Krašna, M., Pesek, I., Marchetti, E., Valente, A., Witfelt, C., Ružić, I., Fraoua, K. E., & Moreira, F. (2023). Security and privacy in academic data management at schools: SPADATAS Project. In P. Zaphiris, & A. Ioannou (Eds.), [Proceedings of] Learning and Collaboration Technologies 10th International Conference, LCT 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Part I (Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14040), Copenhagen, Denmark, 23-28 july 2023, (pp. 3-16). Springer. https://doi.org/10.1007/978-3-031-34411-4_1. Repositório Institucional UPT. http://hdl.handle.net/11328/4927
http://hdl.handle.net/11328/4927
Amo-Filva, D., Escudero, D. F., Sanchez-Sepulveda, M. V., García-Holgado, A., García-Holgado, L., García-Peñalvo, F. J., Orehovački, T., Krašna, M., Pesek, I., Marchetti, E., Valente, A., Witfelt, C., Ružić, I., Fraoua, K. E., & Moreira, F. (2023). Security and privacy in academic data management at schools: SPADATAS Project. In P. Zaphiris, & A. Ioannou (Eds.), [Proceedings of] Learning and Collaboration Technologies 10th International Conference, LCT 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Part I (Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14040), Copenhagen, Denmark, 23-28 july 2023, (pp. 3-16). Springer. https://doi.org/10.1007/978-3-031-34411-4_1. Repositório Institucional UPT. http://hdl.handle.net/11328/4927
http://hdl.handle.net/11328/4927
https://doi.org/10.1007/978-3-031-34411-4_1
identifier_str_mv Amo-Filva, D., Escudero, D. F., Sanchez-Sepulveda, M. V., García-Holgado, A., García-Holgado, L., García-Peñalvo, F. J., Orehovački, T., Krašna, M., Pesek, I., Marchetti, E., Valente, A., Witfelt, C., Ružić, I., Fraoua, K. E., & Moreira, F. (2023). Security and privacy in academic data management at schools: SPADATAS Project. In P. Zaphiris, & A. Ioannou (Eds.), [Proceedings of] Learning and Collaboration Technologies 10th International Conference, LCT 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Part I (Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14040), Copenhagen, Denmark, 23-28 july 2023, (pp. 3-16). Springer. https://doi.org/10.1007/978-3-031-34411-4_1. Repositório Institucional UPT. http://hdl.handle.net/11328/4927
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https://doi.org/10.1007/978-3-031-34411-4_1
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