An Intelligent Tutoring System Architecture for Competency-Based Learning

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Abstract

An Intelligent Tutoring System (ITS) aims to customize teaching processes dynamically according to student’s profile and activities by means of artificial intelligence techniques. The architecture of an ITS defines its components where the pedagogical model is crucial, because the ITS complexity will depend on its scope (specific or generic). Our interest is focused on generic ITS that are very complex due to the fact that could be applied to different educational domains. This contribution proposes an architecture for ITS that uses a Competency-based learning pedagogical model, in order to manage the complexity and make them easier to understand, together a diagnosis process for such a type of systems.