Constructing an Emerging Semantic Supported Intelligence Learning Network for Web-Based Learning

It is a challenge to effectively organize web learning resources and to discovering such resources for facilitating automatic collaboration and problem solving in a web based learning context. We describe how to construct an intelligent learning network based on the semantic data model Learning Semantic Link Network (L-SLN) and propose a methodology to support emerging semantic learning in a semantic context. From the perspective of structure and semantics which are two inseparable aspects of human´s knowledge representation, organization, and understanding, we interpret the nature of emergence and emergent learning and the principles that enable emergent, self-organized learning to occur and to flourish in many senses self-organized by using some approaches to discovering the emerging semantics in dynamic L-SLNs. Finally, we describe some key technology to support the implementation of the method.