TY - GEN
T1 - Security and Privacy in Academic Data management at Schools
T2 - International Conference on Human-Computer Interaction
AU - Amo-Filvà, Daniel
AU - Fonseca, David
AU - Sanchez-Sepulveda, Monica
AU - Garcia-Holgado, Alicia
AU - Garcia-Holgado, Lucia
AU - Garcia-Peñalvo, Francisco Jose
AU - Orehovački, Tihomir
AU - Krašna, Marjan
AU - Pesek, Igor
AU - Marchetti, Emanuela
AU - Valente, Andrea
AU - Witfelt, Claus
AU - Ružić, Ivana
AU - Froua, Karim Elia
AU - Moreira, Fernando
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 - Data
KW - data fragility
KW - data protection
KW - learning
KW - schools
KW - learning ecologies
U2 - 10.1007/978-3-031-34411-4_1
DO - 10.1007/978-3-031-34411-4_1
M3 - Article in proceedings
SN - 978-3-031-34410-7
T3 - Lecture Notes in Computer Science
SP - 3
EP - 16
BT - Learning and Collaboration Technologies. HCII 2023
A2 - Zaphiris, Panayiotis
A2 - Ioannou, Andri
PB - Springer
Y2 - 23 July 2023 through 28 July 2023
ER -