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

Daniel Amo-Filva, David Fonseca Escudero, Mónica V. Sanchez-Sepulveda, Alicia García-Holgado, Lucía García-Holgado, Francisco José García-Peñalvo, Tihomir Orehovački, Marjan Krašna, Igor Pesek, Emanuela Marchetti, Andrea Valente, Claus Witfelt, Ivana Ružić, Karim Elia Fraoua, Fernando Moreira

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaLearning and Collaboration Technologies - 10th International Conference, LCT 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
EditoresPanayiotis Zaphiris, Andri Ioannou, Andri Ioannou
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas3-16
Número de páginas14
ISBN (versión impresa)9783031344107
DOI
EstadoPublicada - 2023
Evento10th International Conference on Learning and Collaboration Technologies, LCT 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023 - Copenhagen, Dinamarca
Duración: 23 jul 202328 jul 2023

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen14040 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia10th International Conference on Learning and Collaboration Technologies, LCT 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023
País/TerritorioDinamarca
CiudadCopenhagen
Período23/07/2328/07/23

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