Chapter

Scaling up Learning for Sustained Impact

Volume 8095 of the series Lecture Notes in Computer Science pp 573-576

etiquetAR: Tagging Learning Experiences

  • Mar Pérez–SanagustínAffiliated withDepartamento de Ingeniería Telemática, Universidad Carlos III de Madrid
  • , Alejandro MartínezAffiliated withDepartamento de Ingeniería Telemática, Universidad Carlos III de Madrid
  • , Carlos Delgado-KloosAffiliated withDepartamento de Ingeniería Telemática, Universidad Carlos III de Madrid

* Final gross prices may vary according to local VAT.

Get Access

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.

Keywords

mobile learning QR tags augmented reality mobile-web-based application demonstration