EDUKA: Design and development of an intelligent tutor and author tool for the personalised generation of itineraries and training activities in inmersive 3D and 360° educational environments

Authors

  • Maria Ruiz ISEA S.Coop. (Mondragon Corporation)
  • Idoia Mujika Mondragon Lingua S.Coop,
  • Arantza Arregi Arizmendi Ikastola S.Coop.
  • Pablo Aguirrezabal Fundación Tecnalia Research & Innovation
  • David Custodio Mondragon Lingua S.Coop.
  • Mikel Pajares INNOVAE Group S.L.
  • Judit Gómez Fundación Tecnalia Research & Innovation

DOI:

https://doi.org/10.4995/ijpme.2023.18013

Keywords:

Virtual Reality, Augmented Reality, Immersive 3D, Intelligent Tutor

Abstract

Nowadays, Virtual and Augmented Reality have begun to be integrated in the educational field for the creation of immersive learning environments. This research presents the results of a project called “EDUKA: Intelligent tutor and author tool for the personalised generation of itineraries and training activities in immersive 3D and 360º educational environments”, funded by the Basque Government (BG) (Economic Development, Sustainability and Environment Department). The project started in April 2018 and was completed in December 2020. Nowadays, an improved version is being developed in a project called IKASNEED, also supported by the BG.  The aim of the study was to develop research around a set of latest generation technologies that offer interdependence to educational centres for the adoption, development and integration of Virtual Reality (VR), Augmented Reality (AR) and immersive content technologies in their study plans.

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Published

2023-01-31

How to Cite

Ruiz, M., Mujika, I., Arregi, A., Aguirrezabal, P., Custodio, D., Pajares, M., & Gómez, J. (2023). EDUKA: Design and development of an intelligent tutor and author tool for the personalised generation of itineraries and training activities in inmersive 3D and 360° educational environments. International Journal of Production Management and Engineering, 11(1), 31–42. https://doi.org/10.4995/ijpme.2023.18013

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Papers