Policy Brief - April 2026
XR2Learn’s Educational Framework operationalises emotion-aware, AI-driven XR training for manufacturing and distance learning — and equips European learners, educators and policymakers with the methodology, evidence and open courses needed to scale it under the Digital Decade and the EU AI Act.

The Policy Issue
The Digital Decade sets a target of 20 million ICT specialists in the EU by 2030; current trajectories project only ~12 million. At the same time, the manufacturing sector must reskill its workforce on Industry 4.0 and 5.0 technologies at scale, while basic digital skills remain unevenly distributed across Member States. XR-based, emotion-aware learning is uniquely placed to accelerate upskilling — but only if its development is grounded in rigorous pedagogy and aligned with the EU AI Act, GDPR, and the Digital Education Action Plan (DEAP).
ICT specialists targeted in the EU by 2030 under the Digital Decade
European Commission, 2024
ICT specialists targeted in the EU by 2030 under the Digital Decade
European Commission, 2024
ICT specialists targeted in the EU by 2030 under the Digital Decade
European Commission, 2024
ICT specialists targeted in the EU by 2030 under the Digital Decade
European Commission, 2024
Digital Decade – 2030 targets · EU AI Act – emotion & personalization AI · GDPR – learner data protection · DEAP – 2021–2027
European Pillar of Social Rights – upskilling · Industry 5.0 – human-centric manufacturing

The Personalization Engine
At the heart of XR2Learn’s framework is an affective computing module — an open-source AI enabler that infers learner emotional and cognitive states from multimodal signals: voice prosody, biomeasurements (galvanic skin response, heart rate, blood volume pulse) and body tracking. When a trainee tips into anxiety or boredom, the system knows and the XR scenario adapts.
Pedagogical Foundation
The personalization enabler is grounded in Csikszentmihalyi’s Theory of Flow and Vygotsky’s Zone of Proximal Development. It dynamically balances challenge and skill to keep learners in the productive flow zone, recommending difficulty adjustments and tutoring interventions in real time.
Audio, biomeasurements and body-tracking pipelines using self-supervised learning to work with limited annotated data.
Real-time challenge-level adjustments and tutoring strategies via the Personalization Enabler integrated through Unity templates.
Open-source enablers with documentation supporting compliance for emotion and personalization AI in educational contexts.
The Personalization Engine
The framework operationalises six instructional design dimensions — accessibility, educational model, social interaction, user involvement, immersion, and assessment — through a six-stage development method supported by XR2Learn’s open-source enablers (INTERACT, Magic XRoom, Personalization), Beacon Apps, and the Catalogue.
Define learning objectives, learner profiles, sector context (manufacturing or distance learning) and accessibility constraints from the outset.
Map the experience across the six framework dimensions — formal/informal model, social interaction, degree of action, immersion level, and assessment strategy.
Compose scenarios using XR2Learn’s enablers — INTERACT (no-code physics-based 3D), Magic XRoom (emotion elicitation), Beacon Apps — and reusable assets from the Catalogue.
Embed the Personalization Enabler grounded in Theory of Flow; configure adaptation rules so the scenario responds to detected emotion and skill level in real time.
Run pilots with end-users across diverse Member States; collect quantifiable evidence of learning outcomes and iterate scenarios with the community via the Forum.
Publish through the XR2Learn Marketplace with NFT-based IPR management and royalties, contributing to the Catalogue and Learning Graph for downstream reuse.
Evidence from the Project
Across two open calls, XR2Learn has mobilised an unprecedented cross-section of Europe’s XR EdTech ecosystem to commit effort, prepare proposals, and deliver tangible immersive-learning outputs.
entities from 40 countries mobilised across OC1 and OC2 to submit funding proposals.
Source: XR2Learn RP2 (M19–M30), 2025
SMEs
Industrial Actors
Educational Institutes
Universities
Voices from the Open Calls
Funded teams across two cohorts have applied the framework in their pilots — from astronaut training and occupational safety to forestry education and collaborative XR. Here is what they had to say.

[CARATE Project Lead]
Extra Info
“The XR2Learn framework gave us the structure we needed to evolve our collaborative astronaut training platform from a TRL-3 prototype into a market-ready MVP. Mapping our scenario across the six instructional dimensions — and integrating the Personalization Enabler — let us demonstrate at SpaceTech and AWE Europe a system that adapts in real time to trainee state. The methodology gave us shared language with the consortium and a credible path to space-agency partners.”
Open Call 1 · XR-Enhanced Astronaut Training

[X-Alfy Project Lead]
Extra Info
“Bringing AI-based XR tools to forestry education meant working with generative models, super-resolution and species classification — but the real challenge was pedagogy. XR2Learn’s Educational Framework forced us to design for awareness and learning outcomes, not just visual fidelity. Combined with the technical training and Wiki, it accelerated our development and helped us connect with regional educators at AWE EU 2024.”
Open Call 2 · Innovation Projects & Partnerships Lead, MATSUKO

[Jana Pezlar Selecká]
Extra Info
“The XR2Learn Platform has been invaluable in making our EcoDrive XR project activities visible and in building new partnerships. Beyond visibility, XR2Learn gave us credibility and access to enablers such as Interact for object manipulation, which significantly enhanced our pilot development. It also provided a trusted community where we could test ideas, gain feedback, and showcase our results to industry peers. To other SMEs and startups, our advice is simple: join XR2Learn — it accelerates your growth and connects you with the right ecosystem.”
Open Call 1 · Forestry Education & Awareness
Training Catalogue
XR2Learn delivers a portfolio of open online courses through its Virtual Learning Environment (EITM Skillsmove.eu), co-designed with EADTU and the consortium’s academic partners. The catalogue covers the full XR EdTech value chain — from instructional design and affective AI to open standards, IPR, and EU AI Act compliance — and is open to learners across Europe.
A practical introduction to the XR2Learn Educational Framework: the six instructional dimensions, learner-centred design, and how immersive technology supports formal and informal learning contexts.
A hands-on course on the INTERACT enabler — XR2Learn’s no-code, physics-based authoring tool for Unity. Covers OpenXR migration, ergonomic interaction, body and hand tracking, and avatar inclusivity.
An advanced course on the XR2Learn Personalization Enabler: Theory of Flow, Vygotsky’s Zone of Proximal Development, multimodal emotion inference (audio, biomeasurements, body tracking), and self-supervised learning.
A vendor-neutral introduction to the open standards underpinning XR2Learn — OpenXR, WebXR — with practical guidance on building interoperable, future-proof educational experiences accessible across devices.
A focused course for developers and decision-makers building AI-driven educational products. Covers risk classification, conformity assessment, GDPR-by-design, and the specific requirements for emotion-recognition and personalization AI in classrooms.
A business-oriented course on building viable XR EdTech ventures using XR2Learn’s NFT-based IPR management and two-sided marketplace — including royalties, transparent blockchain operations, and limited digital editions.
Hosted on the EITM Skillsmove.eu Virtual Learning Environment · Co-designed with EADTU and the XR2Learn academic partners · Open to all XR2Learn community members.
Enrol on the XR2Learn MOOCs through Skillsmove.eu, download the full
Policy Brief, and access the open-source enablers.
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