The 5R Adaptive Learning Content Generation Platform for Mobile Learning

Frederick Ako-Nai, Qing Tan, Frédérique C. Pivot, Kinshuk
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引用次数: 12

Abstract

Ubiquitous mobile computing and the advances in wireless telecommunication networks have encouraged significant growth of mobile learning in recent years. Since mobile learning can take place at anytime and anywhere, there is an advantage to integrate the real world objects into learning contents. Mobile devices have characteristics that include location awareness and hardware diversity. Thus, there are needs and opportunities to provide mobile learners with adaptive learning experience. To implement adaptive mobile learning, it is essential that the learning contents are context sensitive to be retrieved through the adaptation mechanism built in the learning management system. In this paper, an adaptive learning content generation platform is presented. We adopted the 5R adaptation framework to provide the mobile learning system the capability of providing the right content to the right learner, through the right device, in the right location, and at the right time. We provide an example to demonstrate how to use the platform to create adaptive learning contents.
面向移动学习的5R自适应学习内容生成平台
近年来,无处不在的移动计算和无线电信网络的进步促进了移动学习的显著增长。由于移动学习可以随时随地进行,因此将现实世界的对象整合到学习内容中具有优势。移动设备具有位置感知和硬件多样性等特性。因此,有需要和机会为移动学习者提供适应性学习体验。为了实现自适应移动学习,学习内容必须是上下文敏感的,以便通过学习管理系统中构建的适应机制进行检索。本文提出了一种自适应学习内容生成平台。我们采用了5R适应框架,使移动学习系统能够通过正确的设备,在正确的时间,在正确的地点,向正确的学习者提供正确的内容。我们提供了一个示例来演示如何使用该平台创建自适应学习内容。
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