A Learning Content Adaptation Tool with Templates for Different Handhelds

A large number of excellent digital learning materials have been created and distributed for e- learning. These contents are mostly designed for reading on regular PCs that have big screens, powerful computing, large storage and wide bandwidth compared to handheld devices. Therefore, a lot of studies about automatic content adaptation have been done and are proposed to overcome the drawbacks of browsing regular content with handheld devices such as pocket PCs and smartphones. But we argue that the total automatic adaptation algorithm designed by an engineer to transform Web Page presentation is still appropriate to be applied on educational content. We believe the quality of the result can not be assured and supervised by educators, and educational essence may be damaged during the real time adaptation process. This paper proposes a content adaptation tool that provides different adaptation templates to help the author automatically and efficiently reproduce high-quality learning content for specific handhelds. Furthermore, the author will not only be able to preview the adaptation result before publishing the course but also be able to adjust the template parameters manually to affect the process if they are not satisfied with the current result.