Qualitative Analysis of a Blockchain-Based System Adoption for Academic Credentials Verification That Complies with the GDPR: GAVIN Project
Source abstract
Abstract
This article presents a qualitative analysis of GAVIN, a Blockchain-based system for educational information management that is fully compliant with the General Data Protection Regulation (GDPR). This system was designed to address the challenges of academic credential verification and recovery in a context where academic certificate issuance and verification is highly fragmented, with institutions operating isolated systems that hinder efficient verification and facilitate the proliferation of fraudulent documents. The GAVIN model introduces a multi-blockchain architecture aimed at recognition of formal, non-formal, and informal learning, guaranteeing compliance with GDPR. After completing the design and development of a functional prototype, this study discusses its qualitative evaluation by means of a validation workshop with diverse stakeholders from the education sector, using pre- and post-workshop questionnaires grounded in the Technology Acceptance Model (TAM). Results indicate a strong perceived usefulness and significant potential to improve current credentialing processes. However, concerns were raised regarding implementation feasibility, associated costs, the need for official standardization, and the importance of establishing robust governance and sustainable business models. This study offers valuable insights into the challenges and opportunities of blockchain adoption in education, providing guidance for future development and policy-making.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Blockchain Technology Applications and Security · Academic integrity and plagiarism · Privacy, Security, and Data Protection
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
atlanTTic, University of Vigo, 36310 Vigo, Spain
References (77)
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