Towards an Intelligent Tutoring System developing Metacognition: Cyclical model

Abstract

In this article we have discussed the learning skills that are required to help students gain the full benefits of learning within Intelligent Tutoring Systems (ITS). On the one hand, students need to use metacognitive strategies to manage their learning, particularly when they have freedom to determine how they access and use a variety of on-line resources. On the other hand, ITS must includes relevant metacognitive and support activities by considering students' differences in skills, preferences and metacognitive needs. Finally, we propose a model for the development of metacognitive strategies in ITS. The system provides a set of tools and practices exploiting the Zimmerman cyclic model of self-regulated learning (SRL).