基于位置识别的移动学习系统5R自适应框架

The 5R Adaptation Framework for Location-Based Mobile Learning Systems

如何利用移动设备的位置识别功能开发创新性的移动应用系统,是众多研究者和商业应用开发者关注的焦点。基于位置识别的移动学习系统5R自适应框架为实现自适应移动学习环境提供了一套解决方案和标准化结构。5R自适应框架能够根据学习者、位置、时间、移动设备等因素自动生成学习者所需要的学习内容,增强学习者与学习情境之间的交互。5R自适应框架的实施需要描述基于位置的学习内容并使之标签化,建立自适应约束条件和学习内容之间的关系。在基于位置识别的地理课实地考察移动学习过程中,5R自适应框架能够很好地支持这一应用,而且在实现过程中体现出高度的灵活性。

Utilizing the location-awareness of mobile devices in developing innovative mobile application system has attracted much attention of academic researchers and commercial application developers. Location-based 5R framework provides a sound solution and standard structure for adaptive mobile learning environment. In accordance with learners, location, time and mobile devices, 5R adaptive framework can generate learning contents and enhance interaction between learners and learning environment. The implementation of 5R adaptive framework demands to describe location-based learning contents with tags, and then the connections are established between adaptive constrains and learning contents. In a scenario of geography course fieldtrip, this paper presents a location-based mobile learning process supported by 5R adaptive framework.