Abstract
Some working contexts have such a complexity that initial training cannot prepare the workers to handle every kind of situation they migh encounter. This lack of training comes at a high price and leads to productivity loss or low quality manufacturing in industry. Above all, it may be the cause of major accident in high-risk domains. To prevent this risks, virtual environments for training should provide a wide range of learning situations, especially the hard ones, to train the learner how to cope with them. Our purpose is to generate such situations according to the user’s capacities. Drawing on the Zone of Proximal Development, we designed a learner’s profile based on a multidimensional space of classes of situations. Each point of the space depicts a belief on the learner’s ability to handle a kind of situation.
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Acknowledgements
This work is part of the ANR project: NIKITA (Natural Interaction, Knowledge and Immersive systems for Training in Aeronautic). Partners are: Heudiasyc, Paris Descartes University, CEA-LIST, Emissive, EADS, AEROLIA and the technical school Henry Potez. We want to thank Catherine Delgoulet and Vincent Boccara from the LATI for their torough analysis which enable us to build our use-case.
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Carpentier, K., Lourdeaux, D. (2014). Generation of Learning Situations According to the Learner’s Profile Within a Virtual Environment. In: Filipe, J., Fred, A. (eds) Agents and Artificial Intelligence. ICAART 2013. Communications in Computer and Information Science, vol 449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44440-5_15
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DOI: https://doi.org/10.1007/978-3-662-44440-5_15
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