Educational Framework

Policy Brief - April 2026

Human-centric immersive learning, backed by evidence.

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

Europe needs  skilled people, fast — and immersive learning can help close the gap.

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

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European Commission, 2024

ICT specialists targeted in the EU by 2030 under the Digital Decade

~ 0 M

European Commission, 2024

ICT specialists targeted in the EU by 2030 under the Digital Decade

0 %

European Commission, 2024

ICT specialists targeted in the EU by 2030 under the Digital Decade

0 %

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

Learning that listens to how learners feel.

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.

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.

01
Multimodal affective inference

Audio, biomeasurements and body-tracking pipelines using self-supervised learning to work with limited annotated data.

02
Adaptive content orchestration

Real-time challenge-level adjustments and tutoring strategies via the Personalization Enabler integrated through Unity templates.

03
EU AI Act & GDPR by design

Open-source enablers with documentation supporting compliance for emotion and personalization AI in educational contexts.

The Personalization Engine

How we build XR - based training material

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.

STAGE 01
Accessibility - Context
Pedagogical Needs Analysis

Define learning objectives, learner profiles, sector context (manufacturing or distance learning) and accessibility constraints from the outset.

STAGE 02
Educational Model
Instructional Design

Map the experience across the six framework dimensions — formal/informal model, social interaction, degree of action, immersion level, and assessment strategy.

STAGE 03
Enablers - Catalogue
XR Asset Composition

Compose scenarios using XR2Learn’s enablers — INTERACT (no-code physics-based 3D), Magic XRoom (emotion elicitation), Beacon Apps — and reusable assets from the Catalogue.

STAGE 04
Personalization - AI · EU AI Act
Affective Integration

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.

STAGE 05
Evaluation - Evidence
Pilot & Iteration

Run pilots with end-users across diverse Member States; collect quantifiable evidence of learning outcomes and iterate scenarios with the community via the Forum.

STAGE 06
Marketplace - IPR
Publication & Sharing

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

A pan-European demand signal.

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.

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Source: XR2Learn RP2 (M19–M30), 2025

SMEs

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Industrial Actors

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Educational Institutes

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Universities

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Voices from the Open Calls

Built and tested by the community.

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.

Fridolin Wild

CARATE Project

“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

Dr. Krishna Chandramouli

X-ALFY Project

“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 1 · Forestry Education & Awareness

Jana Pezlar Selecká

EcoDriveXR

“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 2 · Innovation Projects & Partnerships Lead, MATSUKO

Training Catalogue

MOOCs developed by the XR2Learn consortium.

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.

XR2L - 101
Beginner

This journey introduces learners to the emerging field of holographic collaboration using XR technologies. 

Educators, Trainers & PROFESSIONALS
Learning Outcomes
XR2L - 201
INTERMEDIATE

Master the foundations of Extended Reality (XR) by exploring the Reality–Virtuality Continuum, from physical environments to total virtuality.

XR Developers & Enthusiasts
Learning Outcomes
XR2L - 301
BEGINNER
Introduction to Virtual Product Disassembly

This course provides a structured introduction to the safe manual and virtual disassembly of mechatronic products within XR-based learning environments.

Students, Workers & Professionals
Learning Outcomes
XR2L - 202
INTERMEDIATE

The XR2LabTrain training platform enhances workforce skills in visual defect inspection through immersive XR training, data-driven adaptation, and shop-floor support.

Workers
Learning Outcomes
XR2L - 401
BEGINNER

Practical content about cleaning and disinfection in the agrifood sector delivered through a virtual reality (VR) and/or mix reality (MR) experience

workers from the agrifood sector
Learning Outcomes
XR2L - 501
BEGINNER

This course provides theoretical content about cleaning and disinfection in the agrifood sector delivered through a mobile application with 360º instructions videos.

WORKERS FROM THE AGRIFOOD SECTOR
Learning Outcomes

Hosted on the EITM Academy Virtual Learning Environment · Co-designed with EADTU and the XR2Learn academic partners · 
Open to all XR2Learn community members.

Take the framework,
and the courses,
further.

Enrol on the XR2Learn MOOCs through Skillsmove.eu, download the full
Policy Brief, and access the open-source enablers.

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