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Title:      TOWARDS AN INTEROPERABLE ADAPTIVE TUTORING AGENT FOR SIMULATIONS AND SERIOUS GAMES
Author(s):      Alexander Streicher, Wolfgang Roller
ISBN:      978-989-8533-39-5
Editors:      Ajith P. Abraham, Antonio Palma dos Reis and Jörg Roth
Year:      2015
Edition:      Single
Keywords:      Adaptivity; Interoperability; E-learning A.I.; Serious Games; Modeling and Simulation
Type:      Short Paper
First Page:      194
Last Page:      197
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      Computer simulations and digital game based learning systems have to adapt to the experience and knowledge level of the users to exploit their intrinsic motivation for interaction and learning. To facilitate the deployment of intelligent tutoring tools they must follow interoperability standards. The solution approach described in this paper is a distributed intelligent tutoring agent framework. It communicates with the game engines via the High Level Architecture (HLA) with payloads based on the eXperience API (xAPI) and the IEEE Learning Object Model (LOM). This framework adapts the connected simulations to the experience level of the users to keep them in the flow channel. Its application is image interpretation for reconnaissance. This paper describes the overall system architecture and the general adaptation design principles.
   

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