DocumentCode
3713363
Title
Towards an Intelligent Tutoring System developing Metacognition: Cyclical model
Author
Mohamed Yassine Si Allal Zarouk;Mohamed Khaldi
Author_Institution
Department of Mathematics and Computer Science, Faculty of Science, Tetouan, Abdelmalek Essa?di University, Morocco
fYear
2015
Firstpage
1
Lastpage
6
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).
Keywords
"Artificial intelligence","Monitoring","Cognition","Reflection","Collaboration","Planning","Computers"
Publisher
ieee
Conference_Titel
Intelligent Systems: Theories and Applications (SITA), 2015 10th International Conference on
Type
conf
DOI
10.1109/SITA.2015.7358437
Filename
7358437
Link To Document