A Device-Independent System Architecture for Adaptive Mobile Learning
Xinyou Zhao, Toshio Okamoto
Abstract
Xinyou Zhao, Toshio Okamoto
Abstract
Most of the learning content existing today is designed for high resolution screen. Only a fraction of contents can be utilized on a mobile device. Although some content may be specifically designed for mobile devices, content providers can not assure that this content can be accessed by all mobile devices, because of the wide variety of technical characteristics, and existing standards. In this paper, we propose a device-independent architecture for mobile learning, which provides contents based on characteristics of mobile devices and mobile learners. Delivering contents tended to adapt to not only learnerpsilas needs and preferences, but also to mobile device used.
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Most of the learning content existing today is designed for high resolution screen. Only a fraction of contents can be utilized on a mobile device. Although some content may be specifically designed for mobile devices, content providers can not assure that this content can be accessed by all mobile devices, because of the wide variety of technical characteristics, and existing standards. In this paper, we propose a device-independent architecture for mobile learning, which provides contents based on characteristics of mobile devices and mobile learners. Delivering contents tended to adapt to not only learnerpsilas needs and preferences, but also to mobile device used.
Key concepts: Mobile device, Computer science, Variety (cybernetics), Mobile computing, Architecture, Multimedia, Mobile Web, Human–computer interaction