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Learning Resource Adaptation and Delivery Framework for Mobile Learning

机译：学习移动学习资源适应与交付框架

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With the rapid development of wireless networks and mobile devices, mobile learning has got more and more attention. However, most of current learning resources (LR) were designed with desktop computers and high-speed network connections. Moreover, for different user preferences in mobile learning environment, not all of the data are relevant and critical to the learning process. It is a challenge to deliver such learning resources to various devices with limited capability over low-speed wireless network while ensuring higher synthetically quality of learning resource. To solve above problem, in this paper we proposed a Learning Resource Adaptation and Delivery Framework to adapt learning resources to various learning environments. It consists of two layers: multimedia adaptation layer and learning object adaptation layer. In the multimedia adaptation layer, MPEG-21 Digital Item Adaptation (DIA) mechanism is incorporated to handle the adaptation of low-level multimedia contents contained in learning resources. In the learning object layer, the appropriate selection of learning objects is based on an extended Learning Object Model for mobile learning. With the introduction of an integrated quality mechanism filling the quality metrics gap between high-level learning objects and low-level multimedia objects, an adaptation decision algorithm is presented to ensure higher final adaptation quality of learning resources.
机译：随着无线网络和移动设备的快速发展，移动学习越来越受到关注。然而，大多数当前的学习资源（LR）都设计有桌面电脑和高速网络连接。此外，对于移动学习环境中的不同用户偏好，并非所有数据都是相关的，并且对学习过程至关重要。将这种学习资源提供给具有低速无线网络功能有限的各种设备，这是一个挑战，同时确保综合学习资源质量更高。为了解决上述问题，在本文中，我们提出了一种学习资源适应和交付框架，以适应各种学习环境的学习资源。它由两层：多媒体适应层和学习对象适应层组成。在多媒体适配层中，结合了MPEG-21数字项目适应（DIA）机制，以处理学习资源中包含的低级多媒体内容的适应。 In the learning object layer, the appropriate selection of learning objects is based on an extended Learning Object Model for mobile learning.随着综合质量机制填充高级学习对象和低级多媒体对象之间的质量指标差距，提出了一种适应决策算法，以确保学习资源的最终最终适应质量。

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