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Toward Knowledge Management Approach to Enhance the Mobile Learning Management Systems

机译:走向知识管理方法,以增强移动学习管理系统

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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.
机译:在数字学习浪潮中,移动学习(M-Learning)越来越受到关注。无线技术的高级开发和移动设备的可用性为学习者提供了使用的流动自由。在这种情况下,学习过程获得了更大的灵活性,以及​​通过使用移动学习管理系统(M-LMS),LMS和移动之间的横域来调整和管理学习对象的挑战。设备。此外,作为学习过程的一部分,知识管理(KM)将在实际教学活动中被整合为通过鼓励他们创建,共享,申请和存储知识来增强学习者能力之一。为此,有必要找到成功转换普通的M-Learning普通学习的方法。在这项研究中,我们比较了三个主要的M-LMS,在其系统中综合了KM方法:Moodle,Blackboard和Mekp。我们专注于这些系统如何在其系统中应用KM策略的调查。我们将这些工具基于非曲线和票据知识转换过程模型进行了比较,该工具代表了一个共同的KM模型之一,有助于从数据收集中提取知识。我们发现Moodle采用了移动知识管理学习系统(MKLMS),帮助通过使用移动设备来捕获默认和明确知识;基于这一点,我们提出了可能遵循的准则,以加强KM方法在M-LMS中的整合,并确保获得融合的有价值的结果。

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