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Conference Papers Year : 2013

Dynamic selection of learning situations in virtual environment

Abstract

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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Dates and versions

hal-00794271 , version 1 (25-02-2013)

Identifiers

  • HAL Id : hal-00794271 , version 1

Cite

Kevin Carpentier, Domitile Lourdeaux, Indira Thouvenin. Dynamic selection of learning situations in virtual environment. 5th International Conference on Agents and Articificial Intelligence, Feb 2013, Barcelona, Spain. pp.101 - 110. ⟨hal-00794271⟩
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