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etiquetAR: Tagging Learning Experiences

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8095))

Abstract

etiquetAR is an authoring tool for supporting the design and enactment of mobile context-based learning experiences based on QR tags. etiquetAR enables creating, managing, and sharing personalized QR tags attachable to any object or physical geographical location. Tags are digital layers of contextualized information that transforms any physical space into a digitally augmented learning environment. This demonstration paper presents etiquetAR first working prototype of this application. In particular, the paper details: (1) how etiquetAR web-based application can be used to edit a tag, associate different resources to it, and relate resources information to a particular profile for adaptive learning experiences; and (2) how users can access and contribute to the information hidden in the tags using the mobile-based application. This demonstration will show the audience how etiquetAR is a simple tool designed to encourage practitioners to create their own tag-based learning experiences.

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References

  1. Pérez-Sanagustín, M., Martínez, A., Delgado Kloos, C.: EtiquetAR: A Tool for Designing Tag-based Mobile Augmented Reality Experiences. IEEE Technical Committee on Learning Technology 14(4), 27–30 (2012)

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  5. Pérez-Sanagustín, M., Melero, J., Hernández-Leo, D., Delgado Kloos, C.: Transforming the campus in a digitally augmented space using etiquetAR. In: Hernández-Leo, D., Ley, T., Klamma, R., Papadopoulos, G. (eds.) EC-TEL 2013. LNCS, vol. 8095. Springer, Heidelberg (2013)

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© 2013 Springer-Verlag Berlin Heidelberg

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Pérez–Sanagustín, M., Martínez, A., Delgado-Kloos, C. (2013). etiquetAR: Tagging Learning Experiences. In: Hernández-Leo, D., Ley, T., Klamma, R., Harrer, A. (eds) Scaling up Learning for Sustained Impact. EC-TEL 2013. Lecture Notes in Computer Science, vol 8095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40814-4_61

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  • DOI: https://doi.org/10.1007/978-3-642-40814-4_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40813-7

  • Online ISBN: 978-3-642-40814-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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