Using Linked Data to Reduce Learning Latency for e-Book Readers

نویسندگان

  • Johann Stan
  • Myriam Ribière
  • Julien Robinson
چکیده

Web 2.0 technologies provide an opportunity to transform learning into a social experience: social learning can directly benefit from user-generated content analysis. The e-book device is an object central to the learning process; it becomes an ideal medium to promote innovative learning tools. In this paper, we describe how we leverage user generated content in e-books, generally in the form of unstructured annotations, to reduce the latency between professor knowledge, book content and student assimilation.

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تاریخ انتشار 2011