Learning Analytics’ Privacy in the Fog and Edge Computing: A Systematic Mapping Review

Autores: Daniel Amo Filvà, David Fonseca Escudero , Francisco José García Peñalvo , Marc Alier Forment , María José Casany
Localización: Proceedings TEEM 2022: Tenth International Conference on Technological Ecosystems for Enhancing Multiculturality / coord. por Francisco José García Peñalvo , Alicia García Holgado , 2023, ISBN 978-981-99-0941-4, págs. 1199-1209
Idioma: inglés
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Resumen
- The educational context that integrates Learning Analytics processespresents a high fragility in the data processing. In addition, using analytical technologies in cloud computing adds new drawbacks that increase such fragility andsensitivity in educational environments. However, there are alternatives to reducefragility in Learning Analytics processes while processing data in the cloud butcloser to the local context of the analysed roles. The cloud computing approachpresents variations such as Fog computing or Edge computing that set intermediate distances more private and secure for data processing. Before adopting thesein-between positions of data computation, it is compulsory to recognize the possibilities offered in terms of privacy. We aim to review the current literature regarding Learning Analytics and data privacy in Fog and Edge computing. Using thePRISMA methodology, we present a systematic mapping review of the literaturein progress based on articles resulting from a search in the Web of Science andScopus indexing databases.