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Mining the Edublogosphere to Enhance Teacher Professional Development
Abstract
The rapid proliferation of Web 2.0 technologies during the last decade has led to online communities of learners, where members share prerequisite knowledge and skills to further professional growth. The educational affordances of blogs offer a wealth of online resources that can be mined in order to gain better understanding of community members and their contributions. In this chapter, we outline a web content mining technique to extract and analyze information from educational blogs, resulting in networks of online resources where content is linked in terms of the underlying semantic relationships. This type of representation is referred to as a network-based model, and has implications for e-learning personalization systems that seek to suggest similar content to those preferred by other learners. The applications of this method are discussed in terms of enhancing teacher professional development in the context of nBrowser, an intelligent web browser designed to support pre-service teachers in building lesson plans that integrate technologies in the classroom.
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