Report on the Current State of Automatic Credit Recognition

This report presents a comprehensive analysis of the current state of automatic academic recognition for credit mobility within the European Higher Education Area. It reviews the legal and policy framework, examines barriers and enabling practices, and analyses quantitative and qualitative data from students, higher education institutions, and practitioners. Produced within the AUREA project, the study identifies persistent challenges, such as inconsistent implementation, curricular incompatibilities, and gaps in Learning Agreement processes, and provides evidence-based insights to support progress toward seamless and fully automatic credit recognition across Europe.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-01
DOI
https://doi.org/10.5281/zenodo.17700588
Primary Topic
Financial Distress and Bankruptcy Prediction
Type
article
Field-Weighted Citation Impact
0.00
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article

Report on the Current State of Automatic Credit Recognition

Zenodo (CERN European Organization for Nuclear Research)
Financial Distress and Bankruptcy Prediction
article

Report on the Current State of Automatic Credit Recognition

article en

Abstract

This report presents a comprehensive analysis of the current state of automatic academic recognition for credit mobility within the European Higher Education Area. It reviews the legal and policy framework, examines barriers and enabling practices, and analyses quantitative and qualitative data from students, higher education institutions, and practitioners. Produced within the AUREA project, the study identifies persistent challenges, such as inconsistent implementation, curricular incompatibilities, and gaps in Learning Agreement processes, and provides evidence-based insights to support progress toward seamless and fully automatic credit recognition across Europe.

Zenodo (CERN European Organization for Nuclear Research)
Eötvös Loránd University (HU)
Openalex Percentile: Top 31%
Financial Distress and Bankruptcy Prediction
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