AI-Supported Educational Mobility Infrastructures in Europe: Opportunities and Limitations Using EMREX as a Reference Architecture

16 pages•Published: June 18, 2026

Guido Bacharach, Tor Fridell, Geir Magne Vangen, Janina Mincer-Daszkiewicz, Jan Joost Norder, Minna Pylkkonen and Igor Drvodelić

Abstract

European educational mobility increasingly relies on interoperable digital infrastructures capable of handling heterogeneous educational data across institutional and national boundaries. While systems such as EMREX have successfully supported standardized data exchange in Higher Education, comparable solutions for Secondary and Vocational Education remain limited due to fragmented standards, resource constraints, and strict data protection requirements.
This paper investigates how artificial intelligence (AI) can effectively support educational mobility infrastructures by augmenting, rather than replacing existing processes. Using EMREX as a reference architecture, the paper analyzes AI-supported use cases including data transformation between educational standards, interpretation of semi-structured and scanned documents, data quality assessment, and explainability of transformation processes. Particular attention is given to the feasibility of these approaches under the General Data Protection Regulation (GDPR) and digital sovereignty constraints.
The paper reports on experimental work based on three proof-of-concept experiments. Results from exploratory work indicate that AI shows promise in enhancing productivity and supporting interoperability-related tasks, while challenges remain in robustness, scalability, and document interpretation, especially for handwritten records. The paper concludes by discussing architectural, legal, and organizational implications and outlines directions for future research toward trustworthy, AI-supported European mobility ecosystems.

Keyphrases: artificial intelligence, data interoperability, digital sovereignty, educational mobility, emrex, gdpr compliance, higher education mobility

In: Laurence Desnos, Carmen Diaz, Janina Mincer-Daszkiewicz, Lazaros Merakos, Raimund Vogl, Stuart McLellan and Ulrike Lucke (editors). Proceedings of EUNIS 2026 Annual Congress, vol 109, pages 145-160.

Links:	https://easychair.org/publications/paper/Xwjv
	https://doi.org/10.29007/hknk

BibTeX entry

@inproceedings{EUNIS2026:AI_Supported_Educational_Mobility,
  author    = {Guido Bacharach and Tor Fridell and Geir Magne Vangen and Janina Mincer-Daszkiewicz and Jan Joost Norder and Minna Pylkkonen and Igor Drvodelić},
  title     = {AI-Supported Educational Mobility Infrastructures in Europe: Opportunities and Limitations Using EMREX as a Reference Architecture},
  booktitle = {Proceedings of EUNIS 2026 Annual Congress},
  editor    = {Laurence Desnos and Carmen Diaz and Janina Mincer-Daszkiewicz and Lazaros Merakos and Raimund Vogl and Stuart McLellan and Ulrike Lucke},
  series    = {EPiC Series in Computing},
  volume    = {109},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/Xwjv},
  doi       = {10.29007/hknk},
  pages     = {145-160},
  year      = {2026}}

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