Contextual Mobile Learning Strongly Related to Industrial Activities: Principles and Case Study
Bertrand David (LIESP), Chuantao Yin (LIESP), Ren\'e Chalon (LIESP)

TL;DR
This paper presents a contextual mobile learning approach integrated with industrial activities, emphasizing principles, a platform, and case studies for effective, situational training using RFID and constructivist methods.
Contribution
It introduces the MOCOCO principles and demonstrates their application in industrial contexts through the IMERA platform, advancing contextualized, just-in-time mobile learning.
Findings
Effective use of RFID for contextualization and traceability
Successful integration of learning before, during, and after work
Constructivist approach enhances industrial training effectiveness
Abstract
M-learning (mobile learning) can take various forms. We are interested in contextualized M-learning, i.e. the training related to the situation physically or logically localized. Contextualization and pervasivity are important aspects of our approach. We propose in particular MOCOCO principles (Mobility - COntextualisation - COoperation) using IMERA platform (Mobile Interaction in the Augmented Real Environment). We are studying various mobile learning contexts related to professional activities, in order to master appliances (Installation, Use, Breakdown diagnostic and Repairing). Contextualization, traceability and checking of execution of prescribed operations are based mainly on the use of RFID labels. Investigation of the appropriate training methods for this kind of learning situation, applying mainly a constructivist approach known as "Just-in-time learning", "learning by doing",…
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