A Semiautomatic Content Adaptation Authoring Tool for Mobile Learning

  • Authors:
  • Hsuan-Pu Chang;Chun-Chia Wang;Timothy K. Shih;Louis R. Chao;Shu-Wei Yeh;Chen-Yu Lee

  • Affiliations:
  • Department of Computer Science and Information Engineering, Tamkang University, Taiwan;Department of Information Management, Technology and Science Institute of Northern Taiwan, , Taiwan;Department of Computer Science and Information Engineering, Tamkang University, Taiwan;Department of Computer Science and Information Engineering, Tamkang University, Taiwan;Department of Computer Science and Information Engineering, Tamkang University, Taiwan;Digital Education Institute, Institute for Information Industry, , Taiwan

  • Venue:
  • ICWL '08 Proceedings of the 7th international conference on Advances in Web Based Learning
  • Year:
  • 2008

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Abstract

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. Therefore, this paper proposes a learning 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. Finally the new adapted content can be packaged with original content as a multi-version learning course.