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Educational Warehouse: Modular, Private and Secure Cloudable Architecture System for Educational Data Storage, Analysis and Access

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http://hdl.handle.net/2183/27259
Atribución 4.0 Internacional
Except where otherwise noted, this item's license is described as Atribución 4.0 Internacional
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Title
Educational Warehouse: Modular, Private and Secure Cloudable Architecture System for Educational Data Storage, Analysis and Access
Author(s)
Amo, Daniel
Gómez Ponce, Pablo
Hernández-Ibáñez, Luis A.
Fonseca, David
Date
2021
Citation
Amo D, Gómez P, Hernández-Ibáñez L, Fonseca D. Educational Warehouse: Modular, Private and Secure Cloudable Architecture System for Educational Data Storage, Analysis and Access. Applied Sciences. 2021; 11(2):806. https://doi.org/10.3390/app11020806
Abstract
[Abstract] Data in the educational context are becoming increasingly important in decision-making and teaching-learning processes. Similar to the industrial context, educational institutions are adopting data-processing technologies at all levels. To achieve representative results, the processes of extraction, transformation and uploading of educational data should be ubiquitous because, without useful data, either internal or external, it is difficult to perform a proper analysis and to obtain unbiased educational results. It should be noted that the source and type of data are heterogeneous and that the analytical processes can be so diverse that it opens up a practical problem of management and access to the data generated. At the same time, ensuring the privacy, identity, confidentiality and security of students and their data is a “sine qua non” condition for complying with the legal issues involved while achieving the required ethical premises. This work proposes a modular and scalable data system architecture that solves the complexity of data management and access. On the one hand, it allows educational institutions to collect any data generated in both the teaching-learning and management processes. On the other hand, it will enable external access to this data under appropriate privacy and security conditions.
Keywords
Cloud computing
Modularity
Educational data analytics
Learning analytics
Academic analytics
Data privacy and security
Digital identity
API
Data storage
Open data
 
Editor version
https://doi.org/10.3390/app11020806
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Atribución 4.0 Internacional

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