A Framework for Self-Regulated Learning of Domain-Specific Concepts

Research in self-regulated learning environments has focused on student motivation, development of metacognitive skills, learning strategies, and individual differences. Equally important is the modeling of domain-specific concepts and the ability for students to learn them under their preferred environment. In this paper, we present a general framework for modeling domain-specific concepts that support self-regulated learning across different domains. Our framework is motivated by a wellestablished pedagogical tool called the concept map.