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

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

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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 (http://ea-tel.eu/special-interest-groups/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 (www.wekit.eu). 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

Dates

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

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