SciTransfer
XR2Learn · Project

Accelerating XR Education Tool Development via AI and Low-Code Innovation Platform

digitalPilotedTRL 7

Imagine a matchmaking site where tech wizards and teachers meet to build virtual reality classrooms. Instead of starting from scratch, they use a set of pre-made digital building blocks and AI that can tell if a student is frustrated or bored. It's like having a Lego kit for education that automatically adjusts the difficulty based on the learner's mood.

By the numbers
10
partners
6
countries
5
SMEs
7
Target TRL
5
Target MRL
The business problem

What needed solving

Developing high-quality XR educational content is currently too expensive and time-consuming for most EdTech providers. Additionally, most XR tools lack the ability to adapt to a learner's emotional state in real-time.

The solution

What was built

A digital innovation platform featuring low-code authoring tools, AI-driven emotion detection software, and an NFT-based IPR management system for an EdTech marketplace.

Audience

Who needs this

VR/AR Content StudiosCorporate Training DepartmentsEdTech Software SMEsUniversity Digital Learning Centers
Business applications

Who can put this to work

Corporate Training
enterprise
Target: Enterprise L&D Provider

If you are an L&D provider dealing with high costs of custom VR training modules — this project developed low-code tools and AI-assisted software enablers that reduce the development life-cycle and lower creation costs.

EdTech Software
SME
Target: XR Content Developer

If you are a developer dealing with difficulty proving the educational value of your apps — this project developed assessment methodologies and a marketplace to match your tools with education experts.

Vocational Education
mid-size
Target: Technical Training Center

If you are a training center dealing with rigid, one-size-fits-all digital courses — this project developed emotion and affect detection tools that enable personalized learning based on user needs.

Frequently asked

Quick answers

How does this project handle the cost of XR application development?

The project aims to reduce the cost of XR application development by providing low-code tools and AI-assisted software enablers to the EdTech community for free.

Can this be scaled to an industrial level?

Based on available project data, the project targets a market-ready status by funding innovative applications to reach TRL 7 and MRL 5.

How is intellectual property and licensing managed?

The project implements a supporting framework for IPR management using Non-Fungible Tokens (NFTs) to enable flexible business models in the EdTech marketplace.

How is the software integrated into existing learning paths?

It provides 'beacon applications' and software enablers that act as supplementary tools to traditional learning processes.

What support is available for SMEs to commercialize their tools?

The project offers tailored business and technical support, as well as direct funding through FSTPs to help ICT-SMEs move from ideation to commercialisation.

Consortium

Who built it

The consortium is highly balanced for commercialization, featuring a 50% industry ratio with 5 SMEs and 5 other partners. With 10 partners across 6 countries, the group combines academic research from 4 universities with practical industry application, ensuring that the digital innovation platform is grounded in both pedagogical theory and market needs.

How to reach the team

Contact CONSORZIO NAZIONALE INTERUNIVERSITARIO PER LE TELECOMUNICAZIONI

Next steps

Talk to the team behind this work.

Contact us to explore the XR2Learn low-code toolset for your training needs.