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Security and Privacy in Academic Data Management at Schools: SPADATAS Project

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Learning and Collaboration Technologies (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14040))

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Abstract

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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Acknowledgements

With the support of the Erasmus+ Programme of the European Union in its Key Action 2 “Cooperation and Innovation for Good Practices. Strategic Partnerships for school education”. Project SPADATAS (Security and Privacy in Academic Data management at Schools) (Reference number2022-1-ES01-KA220-SCH-000086363). The content of this publication does not reflect the official opinion of the European Union. Responsibility for the information and views expressed in the publication lies entirely with the authors.

Author information

Authors and Affiliations

  1. La Salle, Ramon Llull University, Barcelona, Spain

    Daniel Amo-Filva, David Fonseca Escudero & Mónica V. Sanchez-Sepulveda

  2. GRIAL Research Group, Department of Computer Science and Automation, Universidad de Salamanca, Salamanca, Spain

    Alicia García-Holgado, Lucía García-Holgado & Francisco José García-Peñalvo

  3. Faculty of Informatics, Juraj Dobrila University of Pula, Pula, Croatia

    Tihomir Orehovački

  4. Faculty of Natural Sciences and Mathematics, University of Maribor, Maribor, Slovenia

    Marjan Krašna & Igor Pesek

  5. University of Southern Denmark, Odense, Denmark

    Emanuela Marchetti & Andrea Valente

  6. Oerestad Gymnasium, Copenhagen, Denmark

    Claus Witfelt

  7. I. Osnovna škola Čakovec, Čakovec, Croatia

    Ivana Ružić

  8. Université Gustave Eiffel, Campus de Marne-La-Vallée, Val d’Europe, Serris, France

    Karim Elia Fraoua

  9. REMIT, IJP, Universidade Portucalense, Porto, Portugal

    Fernando Moreira

  10. IEETA, Universidade de Aveiro, Aveiro, Portugal

    Fernando Moreira

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  1. Daniel Amo-Filva
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  2. David Fonseca Escudero
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  15. Fernando Moreira
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Correspondence to David Fonseca Escudero .

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  1. Cyprus University of Technology, Limassol, Cyprus

    Panayiotis Zaphiris

  2. Cyprus University of Technology, Limassol, Cyprus

    Andri Ioannou

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Amo-Filva, D. et al. (2023). Security and Privacy in Academic Data Management at Schools: SPADATAS Project. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies. HCII 2023. Lecture Notes in Computer Science, vol 14040. Springer, Cham. https://doi.org/10.1007/978-3-031-34411-4_1

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