Collaboration Language for Social Information Engineering

نویسندگان

  • Kurt Englmeier
  • Josiane Mothe
  • Fionn Murtagh
  • Javier Pereira
  • Duska Rosenberg
چکیده

In this paper, we present a technology platform for personalised learning environments and discuss the key features that will enhance user experience. In particular, we consider elements of social software, integrated tools and user modelled services as they converge on the development of folksonomies. We base our discussion on design principles for accessing and sharing a range of different resources, tools and services for both individual and group learning. In the paper, we concentrate on the language model that supports the development of process-related folksonomies. The model emerges from both the functionality of the learning environment and the language applied in the specific learning environment, thus providing a common platform that users can themselves adapt to their specific learning needs and circumstances. Keywordsmodel of query language; social

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تاریخ انتشار 2011