ST6. Wearable Technology Enhanced Learning

Overview

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

Contact

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