Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
ITS in ill-defined domains: toward hybrid approaches
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
An hybrid expert model to support tutoring services in robotic arm manipulations
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Multi-paradigm generation of tutoring feedback in robotic arm manipulation training
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
Developmentally appropriate intelligent spatial tutoring for mobile devices
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
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Performing exercises in a simulation-based environment is a convenient and cost-effective way of learning spatial tasks. However, training systems that offer such environments lack models for the assessment of learner's spatial representations and skills, which would allow the automatic generation of customized training scenarios and assistance. Our proposal aims at filling this gap by extending a model for representing learner's cognitive processes in tutoring systems, based on findings from research on spatial cognition. This article describes how the model is applied to represent knowledge handled in complex and demanding tasks, namely the manipulation of the robotic arm Canadarm2, and more specifically, how a training system for Canadarm2 manipulation benefits from this model, both by its ability to assess spatial representations and skills and to generate customized assistance and exercises.