Digital Transformation and Artificial Intelligence in the Recognition of Qualifications: Perspectives from CIMEA's Experience

The primary objective of this research is to evaluate and enhance the digital transformation of credential recognition processes at CIMEA, with a particular focus on the potential applications of AI in qualification assessment. The study aimed to identify technological solutions that could improve the efficiency, accuracy, and security of academic credential evaluation while ensuring compliance with international regulatory frameworks.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-01
DOI
https://doi.org/10.5281/zenodo.17350313
Primary Topic
Academic integrity and plagiarism
Type
article
Field-Weighted Citation Impact
0.00
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article

Digital Transformation and Artificial Intelligence in the Recognition of Qualifications: Perspectives from CIMEA's Experience

Zenodo (CERN European Organization for Nuclear Research)
Academic integrity and plagiarism
article

Digital Transformation and Artificial Intelligence in the Recognition of Qualifications: Perspectives from CIMEA's Experience

article en

Abstract

The primary objective of this research is to evaluate and enhance the digital transformation of credential recognition processes at CIMEA, with a particular focus on the potential applications of AI in qualification assessment. The study aimed to identify technological solutions that could improve the efficiency, accuracy, and security of academic credential evaluation while ensuring compliance with international regulatory frameworks.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 43%
Academic integrity and plagiarism
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Digital Transformation and Artificial Intelligence in the Recognition of Qualifications: Perspectives from CIMEA's Experience · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS