Context and scripts: supporting interactive work-integrated learning

نویسندگان

  • Mario Aehnelt
  • Sybille Hambach
  • Petra Müsebeck
  • Marleen Musielak
  • Robert de Hoog
  • Jose Kooken
  • Stefanie N. Lindstaedt
چکیده

Computational support for work-integrated learning will gain more and more attention. We understand informal self-directed work-integrated learning of knowledge workers as a by-product of their knowledge work activities and propose a conceptual as well as a technical approach for supporting learning from documents and learning in interaction with fellow knowledge workers. The paper focuses on contextualization and scripting as two means to specifically address the latter interaction type.

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تاریخ انتشار 2009