Contextual Mobile Learning for Repairing Industrial Machines: System Architecture and Development Process (doi: 10.3991/ijac.v1i2.559)

Bertrand T David, Chuantao Yin, René Chalon


The convergence of mobile communication and wearable computers offers the opportunity to develop mobile learning systems which are able to assist individuals and groups in professional and industrial learning situations. In this paper we present a contextual mobile learning system aimed at assisting users in repairing industrial machines (or appliances) or learning this repairing procedure using mobile computing devices like PDA or tablet PC, using appropriate wearable input/output devices. After a short presentation of our perception of the contextual mobile learning IMERA platform (French acronym for Computer Augmented Environment for Mobile Interaction) will also follow a presentation of the development process organizing task analysis, production of learning units, contextualization with RFID tags and configuration of wearable computer used by the learner. Based on the platform the system framework will be explained. Finally we will describe a concrete industrial case study used to test and evaluate our system.


mobile learning; contextualization; RFID; augmented reality; wearable computer

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International Journal of Advanced Corporate Learning (iJAC) – ISSN: 1867-5565
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