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Special Track on Wearable-technology Enhanced Learning (WELL) @ iLRN 2017


Special Track on Wearable-technology Enhanced Learning (WELL)
at the Immersive Learning Research Network Conference iLRN 2017
June 26-29, 2017, Coimbra, Portugal

Topic of the Special Track

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, and cyber-physical systems. Wearable devices play an integral role in the digital transformation of industrial and logistics processes in the Industry 4.0 and thus demand new learning and training concepts like experience capturing, re-enactment and smart human-computer interaction.
This proposal of a special track is the offspring of the SIG WELL ( in the context of the European Association for Technology Enhanced Learning (EATEL). It is a follow up proposal for the inaugural session we had at the iLrn 2015 in Prague. In the meantime, the SIG was successful in organizing a number of similar events at major research conferences and business oriented fairs like the EC-TEL, the I-KNOW and the Online Educa Berlin OEB. Moreover, the SIG has involved in securing substantial research funds through the H2020 project WEKIT ( The SIG would like to use the opportunity to present itself as a platform for scientific and industrial knowledge exchange. EATEL and major EU research projects and networks in the field support it. Moreover, we’ll seek to attach an IEEE standard association community meeting of the working group on Augmented Reality Learning Experience Models (IEEE ARLEM).

List of 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


Paper submission: February 1, 2017
Notification of authors: March 15, 2017
Full paper submission: April 15, 2017
Date of the conference: June 26-29, 2017

Contributing papers have to undergo a peer review process and will be included
in the conference proceedings, depending on the overall quality and special tracks chairs’ decision, either as a long paper (10 – 12 pages) or as a short paper (6 -8 pages). Excellent papers will be deemed full papers (14 pages) and included in the Springer proceedings.  Authors of selected papers will also be invited to extend their contribution and to be published in a special issue of the JCR-indexed Journal of Universal Computer Science.

Track chairs

Ilona Buchem, Beuth University of Applied Sciences Berlin, Germany
Ralf Klamma, RWTH Aachen University, Germany,
István Koren, RWTH Aachen University, Germany
Fridolin Wild, Oxford Brookes University, UK
Alla Vovk, Oxford Brookes University, UK

Tentative Program Committee (t.b.c.)
Mario Aehnelt, Fraunhofer IGD Rostock, Germany
Davinia Hernández-Leo, Universitat Pompeu Fabra, Spain
Carlos Delgado Kloos, UC3M, Spain
Elisabetta Parodi, Lattanzio Learning Spa, Italy
Carlo Vizzi, Altec, Italy
Mar Perez Sangustin, Pontificia Universidad Católica de Chile, Chile
Isa Jahnke, University of Missouri-Columbia, USA
Mikhail Fominykh, Europlan, UK
Puneet Sharma, University of Tromso, Norway
Yishay Mor, Levinsky College of Education, Israel
Tobias Ley, Tallinn University, Estonia
Peter Scott, Sydney University of Technology, Australia
Victor Alvarez, Murdoch University, Australia
Agnes Kukulska-Hulme, The Open University, UK
Carl Smith, Ravensbourne University, UK
Victoria Pammer-Schindler, Graz University of Technology &Know-Center Graz, Austria
Christoph Igel, CeLTech, Germany
Peter Mörtel, Virtual Vehicle, Austria
Brenda Bannan, George Mason University, USA
Christine Perey, Perey Consulting, Switzerland
Kaj Helin, VTT, Finland
Jana Pejoska, Aalto, Finland
Jaakko Karjalainen, VTT, Finland
Joris Klerxx, KU Leuven, Belgium
Marcus Specht, Open University, Netherlands
Roland Klemke, Open University, Netherlands
Will Guest, Oxford Brookes University, UK