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

Research output: Book chapterConference contributionpeer-review

6 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationLearning and Collaboration Technologies - 10th International Conference, LCT 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
EditorsPanayiotis Zaphiris, Andri Ioannou, Andri Ioannou
PublisherSpringer Science and Business Media Deutschland GmbH
Pages3-16
Number of pages14
ISBN (Print)9783031344107
DOIs
Publication statusPublished - 2023
Event10th International Conference on Learning and Collaboration Technologies, LCT 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023 - Copenhagen, Denmark
Duration: 23 Jul 202328 Jul 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14040 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Learning and Collaboration Technologies, LCT 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023
Country/TerritoryDenmark
CityCopenhagen
Period23/07/2328/07/23

Keywords

  • Academic data
  • confidentially of student’s data
  • management
  • privacy
  • security

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