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.
Digital Transformation and Artificial Intelligence in the Recognition of Qualifications: Perspectives from CIMEA's Experience / Lantero, L., Finocchietti, C., Spitalieri, S.. - ELETTRONICO. - 144:(2025), pp. 1-36. [10.5281/ZENODO.17350314]
Digital Transformation and Artificial Intelligence in the Recognition of Qualifications: Perspectives from CIMEA's Experience
Chiara Finocchietti;
2025-01-01
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.| File | Dimensione | Formato | |
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Digital_transformation_and_AI_2025 (1)_compressed.pdf
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