Personal data broker instead of blockchain for students’ data privacy assurance

Daniel Amo, David Fonseca, Marc Alier, Francisco José García-Peñalvo, María José Casañ

Research output: Book chapterConference contributionpeer-review

15 Citations (Scopus)

Abstract

Data logs about learning activities are being recorded at a growing pace due to the adoption and evolution of educational technologies (Edtech). Data analytics has entered the field of education under the name of learning analytics. Data analytics can provide insights that can be used to enhance learning activities for educational stakeholders, as well as helping online learning applications providers to enhance their services. However, despite the goodwill in the use of Edtech, some service providers use it as a means to collect private data about the students for their own interests and benefits. This is showcased in recent cases seen in media of bad use of students’ personal information. This growth in cases is due to the recent tightening in data privacy regulations, especially in the EU. The students or their parents should be the owners of the information about them and their learning activities online. Thus they should have the right tools to control how their information is accessed and for what purposes. Currently, there is no technological solution to prevent leaks or the misuse of data about the students or their activity. It seems appropriate to try to solve it from an automation technology perspective. In this paper, we consider the use of Blockchain technologies as a possible basis for a solution to this problem. Our analysis indicates that the Blockchain is not a suitable solution. Finally, we propose a cloud-based solution with a central personal point of management that we have called Personal Data Broker.

Original languageEnglish
Title of host publicationNew Knowledge in Information Systems and Technologies - Volume 3
EditorsSandra Costanzo, Hojjat Adeli, Álvaro Rocha, Luís Paulo Reis
PublisherSpringer Verlag
Pages371-380
Number of pages10
ISBN (Print)9783030161866
DOIs
Publication statusPublished - 2019
EventWorld Conference on Information Systems and Technologies, WorldCIST 2019 - Galicia, Spain
Duration: 16 Apr 201919 Apr 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume932
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceWorld Conference on Information Systems and Technologies, WorldCIST 2019
Country/TerritorySpain
CityGalicia
Period16/04/1919/04/19

Keywords

  • Academic analytics
  • Blockchain
  • Data privacy
  • Digital identity
  • Educational data mining
  • Learning analytics
  • Moodle
  • Smart contracts

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