ONTOLOGIES FOR SELF-REGULATED LEARNING

Self-regulated learning is the key for students to be masters of their own learning processes. These self-initiated processes enable these students to become controllers of their learning experiences. The objective of this research is to maximize the use of domain ontology to develop self-regulated learning skills. Also defines activities that support self-regulation from the Self-Regulated Learning (SRL) ontology, and make use of it during learning scenarios. The three-phase model of Zimmerman is used as a theoretical framework for organizing the elements in the SRL ontology. This ontology gives rise to the structured elements that form the taxonomy for the definition and development of SRL environments. The basic idea of this work is to exploit the domain ontology as a tool to develop SRL skills. Furthermore, the SRL ontology is used to identify SRL activities needed for the learner in his learning scenarios.