Dynamic Selection of Learning Situations in Virtual Environment

نویسندگان

  • Kevin Carpentier
  • Domitile Lourdeaux
  • Indira Thouvenin
چکیده

In a lot of industrial contexts, workers may encounter novel situations which have never occured in their training. Yet, such situations must be handeld successfully to prevent high-cost consequences. Such consequences might be human casualties (in high-risk domains), material damages (in manufacturing domains) or productivity loss (in high performance industry). To address this lack in their training, virtual environments for training should provide a large spectrum of learning situations. The difficulty lies in generating these situations dynamically according to the learners profile while they have a total freedom of interaction in the virtual environment. To address this issue, we propose to generate activities by operationnalising the Zone of Proximal Development in a multidimensional space. The filling of this space will be updated dynamically based on user interactions.

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تاریخ انتشار 2013