Summary: | 博士 === 淡江大學 === 資訊工程學系博士班 === 96 === The use of portable devices like pocket PCs and smartphones to support teaching and learning is not a new concept. Many innovative learning systems and activities have also been proposed to promote e-learning, as well as exploited the ways of e-learning. Although the variety of mobile platforms provide more flexible and extendable learning experience, the various hardware conditions and restrictions consequently becomes the challenges and barriers we need to overcome.
There are four main modules proposed to carry out the course caching strategy and presentation adaptation methods that aim at promoting the immediacy, accessibility, and interactivity for SCORM-compliance mobile learning environment. Firstly, Course Segmentation Module: The module can separate a course into several smaller unites namely course clusters. The produced smaller clusters are considered as basic operation units that are manipulated by other modules to carry out their specific functions under restricted memory capacity conditions. Secondly, Course Presentation Adaptation Module: The module is providing different adaptation templates to help the author
automatically and efficiently reproduce high-quality learning content presentation which is appropriate to read on specific mobile learning platforms. Thirdly, Course Caching Module: The module can precisely predict the access of courses and to download them before learning begins; the learning process can not only reduce the waiting time significantly but also offer the downloaded content for offline learning. Finally, Course Rich-presentation Packaging/Delivering Module: The user may use the Course Adaptation Module to create plural course versions for different presentations on specific mobile learning platforms such as pocket PCs and smartphones. The module can integrate all produced course versions and package as a standard Common Cartridge Course Package. Furthermore, correctly delivering the corresponding course version to the learner’s mobile learning platform is another purpose of this module.
In order to realize and verify our ideas, we develop numerous m-learning services based on Web Service technology supporting to implement the proposed modules. The final part of the dissertation will demonstrate the learning systems developed with the proposed modules and illustrate the significant performance according to experimental results.
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