Industrial Knowledge assessment for capitalization purposes via learning techniques
Résumé
Capitalization of industrial knowledge is an important issue for enterprises who want to master the
development and the innovative part of their product. Of course, there are many knowledge extraction methods,
but they involve an expertise work by KM experts. Besides this, it is necessary to evaluate both knowledge and
knowledge use. In this paper, we present an approach to evaluate this knowledge use with a Serious Game (SG).
From an identification methodology based on an analysis under a PLM (Product Lifecycle Management)
deployment, we experienced a SG platform for minimize the reluctance of actors and validate the identification
work of KM experts. Based on serious game first, we extend our approach to a SPOC (Small Private Online
Course).