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 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, multi-modal learning analytics 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 and in iLRN 2017 in Coimbra.

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
  • Immersive Learning Analytics for wearable technologies
  • Wearable technologies for health and fitness
  • Wearable technologies and affective computing
  • Technology-Enhanced Learning 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, biofeedback
  • Learning designs with wearable technologies
  • Learning designs with Augmented Reality
  • Ad hoc learning with wearables
  • Micro learning with wearables
  • Security and privacy for wearable enhanced learning
  • Collaborative wearable enhanced learning
  • Development methods for wearable enhanced learning

Author Info

Submitted papers must follow the same guidelines as the main conference submissions. Please visit https://immersivelrn.org/ilrn2019/authors-info/  for guidelines and templates. For submitting a paper to this special track, please use the submission system https://www.easychair.org/conferences/?conf=ilrn2019 , log in with an account or register, and select the track “ST6: Wearable Technology Enhanced Learning” to add your submission.

Special  Track  Chairs

  • Ilona Buchem, Beuth University of Applied Sciences Berlin, Germany
  • Ralf Klamma, RWTH Aachen University, Germany
  • Fridolin Wild, Oxford Brookes University, UK
  • Mikhail Fominykh, Norwegian University of Science and Technology, Norway

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
  • Jos Flores, MIT, USA
  • Puneet Sharma, Norwegian University of Science and Technology, Norway
  • Yishay Mor, Levinsky College of Education, Israel
  • Tobias Ley, Tallinn University, Estonia
  • Peter Scott, Sydney University of Technology, Australia
  • Victor Alvarez, University of Oviedo, Spain
  • 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


For more information, please contact Ralf Klamma ( klamma@dbis.rwth-aachen.de )