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Toward Knowledge Management Approach to Enhance the Mobile Learning Management Systems

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Mobile Web and Intelligent Information Systems (MobiWIS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9228))

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Abstract

In the wave of digital learning, Mobile learning (M-learning) captures more and more attention. Advanced developments in wireless technology and the availability of mobile devices provide the learners the freedom of mobility in using. In this context, the learning process had gained more flexibility, as well as challenges in order to adapt and manage the learning object to this new framework through the use of Mobile Learning Management Systems (M-LMS), a cross domain between LMSs and mobile device . Moreover, as part of the learning process, Knowledge Management (KM) is integrated in the practical teaching activities as one of the methods that enhance the abilities of learners by encouraging them to create, share, apply, and store knowledge. For that, it is necessary to find a way to successfully transform ordinary M-learning to knowledge-based learning. In this study we compare three main M-LMSs that integrated a KM approach in their system: MOODLE, Blackboard and mEKP. We focus our investigation on how these systems apply KM strategy in their system. We compared these tools based on Nonaka and Takeuchi Knowledge Conversion Process Model that represents one of the common KM models helping to extract knowledge from data collection. We found that Moodle has adopted a Mobile Knowledge Management Learning System (MKLMS) that helps capture tacit and explicit knowledge from users through the use of mobile devices; and based on this we propose guidelines that might be followed to enhance integration of KM approach in M-LMSs and ensure gaining valuable results of the integration.

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Correspondence to Hatoon S. AlSagri .

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AlSagri, H.S., Zemirli, N. (2015). Toward Knowledge Management Approach to Enhance the Mobile Learning Management Systems. In: Younas, M., Awan, I., Mecella, M. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2015. Lecture Notes in Computer Science(), vol 9228. Springer, Cham. https://doi.org/10.1007/978-3-319-23144-0_7

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  • DOI: https://doi.org/10.1007/978-3-319-23144-0_7

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