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@XR2Learn

XR2Learn

Leveraging the European XR industry technologies to empower immersive learning and training

XR2Learn - HORIZON EU

XR2Learn will deliver the XR2Learn platform around which it establishes a cross-border innovation community for XR in learning, bringing XR technology providers, application designers, education experts, application developers, end-users and decision makers in direct access to communicate, collaborate and matchmake interests enabling also bottom up innovation creation. XR2Learn will go beyond offering sound technical and business support for the creation of XR applications for education: XR2Learn will provide access to authoring tools for development of applications through its platform, deliver tools for emotion/affect detection and for automated adaptation of the learning experience to the user needs and emotions, deliver guidance relevant to educational design and use case definition, provide opportunities for piloting and user testing mediated by the large networks brought by XR2Learn partners, promote tools that enable and boost the re-use and sharing of the learning materials/XR applications, offer business development support and additionally, support IPR management through NFTs enabling novel business model implementation. XR2Learn will support innovators (ICT-SMEs) all the way from ideation to commercialisation offering them tailored business and technical support as well as direct funding through FSTPs.

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  1. Personalization-Enablers-CLI Personalization-Enablers-CLI Public

    Command Line Interface to facilitate the use of XR2Learn training, inference and personalization tools.

    Python 3

  2. Personalization-Tool Personalization-Tool Public

    Personalization Tool utilizes the user’s predicted emotions as the output of the Training and Inference domain, together with contextual information, e.g., a user and activity levels, to provide p…

    HTML 3

  3. Personalization-Enablers-Training-Tools Personalization-Enablers-Training-Tools Public

    Training tools involve Enablers 2, 3, and 4 with related components, a total of five tools, for pre-training and fine-tuning models used in XR2Learn.

    Python 3 3

  4. magic-xroom magic-xroom Public

    XR2Learn Magic Xroom virtual reality application

    C# 2

  5. beaconapp-laser-cutting-machine beaconapp-laser-cutting-machine Public

    C# 1

  6. .github .github Public

    1

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