Design and implementation of WoBaLearn - a work-based context-aware mobile learning system

Bingxue Zhang 1
1 SICAL - Situated Interaction, Collaboration, Adaptation and Learning
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : Increased interest has been shown in context-aware mobile learning systems. These systems aim to provide learning supports via mobile devices and adapt them to specific educational needs, personal characteristics and particular circumstances of an individual learner or a group of interconnected learners. Work-based learning is a crucial approach to promote professionals’ working and learning efficiency, which is need-targeted, personalized, just-in-time and location-based. These characteristics predict that context-aware mobile learning systems can play a role in promoting the effect of work-based learning. However, relatively few context-aware mobile learning systems are proposed for learning and competence development in work contexts. This dissertation proposes the design, implementation and evaluation of a context-aware mobile system for work-based learning, named WoBaLearn. More specifically, in the dissertation, we worked on: (1) the learning theories related to work-based context-aware mobile learning; (2) the approaches for designing a work-based context-aware mobile learning system; and (3) the technologies and methodologies for implementing and testing the designed system. The main contributions of this thesis are: 1) Proposal of an ontology-based hierarchical context model for work-based learning We defined an initial context model for describing contextual information in work-based mobile learning, named WbML. This model adopts a hierarchical designing approach which classifies con-text into a common layer and a domain layer. This approach improves the reusability of this context model. Also, the WbML context model is built based on ontology for describing context semantically. 2) Design of a set of adaptation strategies for work-based learning and an adaptation engine to execute these strategies We proposed a set of adaptation strategies concerning learning units selection, learning units sequence, learning units navigation, learning partners communication, and learning activities generation. These strategies adapt learning supports depending on professionals’ just-in-time learning con-text. We proposed also an adaptation engine which executes these proposed strategies to implement learning adaptations. 3) Construction of the WoBaLearn architecture Combined with the conceptual design bases about the context model, learning contents, adaptation strategies and adaptation engine, we proposed the system architecture of WoBaLearn which enables the WoBaLearn system to achieve the adaptive learning services. 4) Implementation of WoBaLearn We implemented the proposed system with modern technologies, and set a user study to evaluate it. Evaluation results provided us with the evidence that this system can offer professionals a satisfactory learning experience and facilitate their work activities.
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Bingxue Zhang. Design and implementation of WoBaLearn - a work-based context-aware mobile learning system. Other. Ecole Centrale de Lyon, 2014. English. ⟨NNT : 2014ECDL0032⟩. ⟨tel-01142617⟩

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