TY - GEN
T1 - Security and Privacy in Academic Data Management at Schools
T2 - 10th International Conference on Learning and Collaboration Technologies, LCT 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023
AU - Amo-Filva, Daniel
AU - Escudero, David Fonseca
AU - Sanchez-Sepulveda, Mónica V.
AU - García-Holgado, Alicia
AU - García-Holgado, Lucía
AU - García-Peñalvo, Francisco José
AU - Orehovački, Tihomir
AU - Krašna, Marjan
AU - Pesek, Igor
AU - Marchetti, Emanuela
AU - Valente, Andrea
AU - Witfelt, Claus
AU - Ružić, Ivana
AU - Fraoua, Karim Elia
AU - Moreira, Fernando
N1 - Funding Information:
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.
Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Academic data
KW - confidentially of student’s data
KW - management
KW - privacy
KW - security
UR - http://www.scopus.com/inward/record.url?scp=85169070776&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-34411-4_1
DO - 10.1007/978-3-031-34411-4_1
M3 - Conference contribution
AN - SCOPUS:85169070776
SN - 9783031344107
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 3
EP - 16
BT - Learning and Collaboration Technologies - 10th International Conference, LCT 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
A2 - Zaphiris, Panayiotis
A2 - Ioannou, Andri
A2 - Ioannou, Andri
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 23 July 2023 through 28 July 2023
ER -