Author_Institution :
Lab. d´Inf., Univ. du Maine, Le Mans, France
Abstract :
In this paper we present the "Architecture for Representations, Games, Interactions, and Learning among Experts" (ARGILE) suitable for "participatory and knowledge-intensive" serious games. It proposes solutions within the context of targeted learning, concerning scenarios, in which conception of serious games, and their utilization through a better share by designers is considered. In this work, we are interested in the training of advanced expertise and complex practices (e.g. best practices acquisition in crisis management, decision making in complex socio-technical systems...) where the transmitted knowledge is in the form continuous evolution. The rules and the game objects are directly generated from a special discussion forum, which contains successive versions of the textual rules/items continuously discussed, co-built by the designers\´ community, and in strong relation with the players\´ community. We suggest a set of criteria, methodology and experiments to verify that the rules and game objects are easily annotated, discussed and modified by trainers and experts of the field using ARGILE. That will be illustrated concretely, using the ideas presented on an example in sustainability.
Keywords :
computer aided instruction; serious games (computing); ARGILE; Architecture for Representations, Games, Interactions, and Learning among Experts; knowledge-intensive serious games; participatory serious games; player community; Computer architecture; Context; Discussion forums; Documentation; Games; Knowledge engineering; Training; Online learning; cooperation; discussion forum; knowledge engineering; serious games; sustainable development;