XR2Learn Results

Explore the technologies, tools, enablers, learning applications and scientific outputs developed within XR2Learn.

From AI-driven personalisation enablers and immersive XR training environments to educational authoring tools and open repositories, XR2Learn provides a rich ecosystem of open and reusable results for the future of immersive learning

XR2Learn Platform

The XR2Learn platform offers a central hub for XR technology. It provides tools and services for accessing and managing XR content through a content catalogue, enabling transactions via a dedicated marketplace, fostering collaboration through a community forum, and supporting the design of structured learning experiences with the Learning Path.

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Enablers

General Enablers

The XR2Learn platform offers a central hub for XR technology. It provides tools and services for accessing and managing XR content through a content catalogue, enabling transactions via a dedicated marketplace, fostering collaboration through a community forum, and supporting the design of structured learning experiences with the Learning Path.

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INTERACT authoring tool

INTERACT is a Unity-based toolbox that makes it easy for anyone to create advanced VR applications directly from CAD models or point clouds. Powered by a high-precision physics engine, it enables realistic simulations of complex mechanical systems

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Magic XRoom

The Magic XRoom is a Virtual Reality (VR) application developed to elicit specific emotions and gather data from external sensors through a set of scenarios. The application allows the user to experience four different scenarios composed of increasingly difficult tasks that require various skills to complete within a time limit.

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Training tools

Modular tools for preprocessing, feature extraction, self-supervised and supervised learning for multimodal emotion recognition models.

Inferences tools

Tools for unimodal and multimodal emotion classification and fusion, enabling real-time inference in XR systems.

Personalization tools

Tool that uses predicted emotions and contextual data to generate real-time personalized recommendations in XR learning environments.

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Beacon Apps

BA1: Laser cutting machine

The Beacon Application “Laser Cutting Machine” is a sandbox application that demonstrates the creation of a virtual reality training scenario (maintenance tasks of a machine) through the use of the Enabler “INTERACT”

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BA2: V-Lab

V-Lab is a VR educational software to train students in making use of the lab equipment and conducting virtual experiments at a distance before they use the on-site lab. The goal is to offer a safe environment for the trainees to learn by trial and error and exploration of various possibilities, without the risk of equipment damages and accidents, and therefore reduce the overall cost of the lab training process.

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‘The V-Lab VR Educational Application Framework: A Beacon Application of the XR2Learn Project’

25th International Conference on Mobile Human-Computer Interaction: Proceedings, Athens, Greece, 26-29 September, ACM, pp. 1-4.

Zafeiropoulos, V., Anastassakis, G., Orphanoudakis, T., Kalles,D., Fanariotis, A., Fotopoulos, V. (2023)

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BA3:  Industrial equipment training and safety

Industry safety application (BA3) is a project focused on hazard detection in industrial conditions by real-time recognizing the presence or the absence of required safety equipment in people.

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XR2Learn Wiki

The Wiki serves as a practical guide to help explore, understand, and effectively use XR2Learn, a platform designed for the collaborative creation of human-centric extended reality (XR) applications in education.

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Educational Mission (Courses)

Creation of MOOCs with educational material provided by consortium partners and OC winners. Publication of the courses on the XR2Learn Platform, hosted on the EITM Academy.

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Tutorials

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