Blockchain Technologies as Data Storage for Test Results and Certificates. The Human Factor

Alexander Pfeiffer (Vortragende:r), Simone Kriglstein, Stephen Bezzina, Nikolaus König, Thomas Wernbacher, Alexiei Dingli, Vince Vella

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

Abstract

In the educational sector even the most sophisticated digital environments will not make human interaction obsolete, as learning and education are inherently social processes. This also means that any application that involves learning and assessment must deal with problems resulting from human error. Some of these problems can effectively be countered or excluded by Blockchain-based technologies. Especially in the case of retroactive manipulation of data, non-Blockchain systems are prone to manipulation, as even the most advanced safeguards cannot prohibit users with high enough access rights to manipulate existing data entries (this may be a mere annoyance when a well-meaning teacher edits a student´s attendance, but it can quickly become a large-scale problem when the recognition of diplomas is tampered with on an institutional level). As data stored on the Blockchain cannot be altered retroactively, the problem of tampering with existing data is to be ruled out. This conference paper looks at the role of humans in the use of state-of-the-art systems that store grades from exams and certificates on Blockchain, and aims at initiating a broad discussion whilst providing guidance for future developments.
OriginalspracheEnglisch
TitelICERI2020 Proceedings
Seiten3430-3434
Seitenumfang5
DOIs
PublikationsstatusVeröffentlicht - 2020
VeranstaltungICERI 2020: The 13th annual International Conference of Education Research and Innovation -
Dauer: 9 Nov. 202010 Nov. 2020

Konferenz

KonferenzICERI 2020: The 13th annual International Conference of Education Research and Innovation
Zeitraum9/11/2010/11/20

Research Field

  • Experience Business Transformation

Schlagwörter

  • Blockchain
  • Assessment
  • Errors
  • Humans

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