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WELL / iLRN 2015 : Special Track on Wearable-technology Enhanced Learning at iLRN 2015


When Jul 13, 2015 - Jul 14, 2015
Where Prague, Czech Republic
Submission Deadline Mar 30, 2015
Notification Due Apr 15, 2015
Final Version Due May 15, 2015
Categories    wearable technologies   wearable enhanced learning   data collection   wearables

Call For Papers

Special Track on Wearable-technology Enhanced Learning (WELL)
at the Immersive Learning Research Network Conference iLRN Prague 2015
13th - 14th July 2015
Prague, Czech Republic

Call for Papers

* Papers Submission deadline: 15st March 2015
* Author Notification: 15th April 2015
* Camera-ready deadline: 15th May 2015

* Main Conference: 13th – 14th July 2015

Wearable technologies – such as smart watches, smart glasses, smart objects, smart earbuds, or smart garments – are just starting to transform immersive user experience into formal education and learning at the workplace. These devices are body-worn, equipped with sensors and conveniently integrate into leisure and work-related activities including physical movements of their users.

Wearable-technology Enhanced Learning (WELL) is beginning to emerge as a new discipline in technology enhanced learning in combination with other relevant trends like the transformation of classrooms, new mobility concepts, cyber-physical systems and the transformation of industries like logistics and industrial production.

This special track is the off-spring of the new SIG WELL in the context of the European Association for Technology Enhanced Learning (EATEL). The SIG would like to use the opportunity to present itself as a new platform for scientific and industrial knowledge exchange. It is supported by EATEL and major EU research projects in the field like Learning Layers and Tellme.

This special track welcomes submissions on (but not limited to) the following topics:

Industry 4.0 and wearable enhanced learning
Learning Analytics for Wearable technologies
Wearable technologies for health and fitness
Wearable technologies and affective computing
TEL applications of smart glasses, watches, armbands
Learning context and activity recognition for wearable enhanced learning
Body-area learning networks with wearable technologies
Data collection from wearables
Feedback from wearables
Learning designs with wearable technologies
Augmented Reality Learning
Ad hoc learning with wearables
Micro learning with wearables
Security and privacy for wearable technology enhanced learning
Collaborative wearable technology enhanced learning

Track chairs
Ilona Buchem, Beuth University of Applied Sciences Berlin, Germany
Ralf Klamma, RWTH Aachen University, Germany,
Fridolin Wild, Open University, UK

Program Committee
Davinia Hernández-Leo, Universitat Pompeu Fabra, Spain
Elisabetta Parodi, Lattanzio Learning Spa, Italy
Isa Jahnke, Umeå University, Sweden
Martin Wolpers, Fraunhofer FIT, Germany
Michael Fominykh, Norwegian University of Science and Technology, Norway
István Koren, RWTH Aachen University, Germany
Michael Derntl , RWTH Aachen University, Germany,
Yishay Mor, PAU Education, UK
Tobias Ley, Tallinn University, Estonia
Beppe Scavo, The Open University, UK
Peter Scott, The Open University, UK
Agnes Kukulska-Hulme, The Open University, UK
Carl Smith, London Metropolitan University, UK
Christine Perey, Perey Consulting, Switzerland
Kaj Helin, VTT, Finland
Jaakko Karjalainen, VTT, Finland
Erik Duval, KU Leuven, Belgium
Joris Klerxx, KU Leuven, Belgium
Marcus Specht, Open University, Netherlands
Paul Lefrere, CCA Research

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