Visual Understanding Environment (VUE)
The Visual Understanding Environment (VUE) project at Tufts is focused on creating flexible tools for managing and integrating digital resources in support of teaching, learning and research. VUE provides a flexible visual environment for structuring, presenting, and sharing digital information.
At its core, the Visual Understanding Environment (VUE) is a concept and content mapping application, developed to support teaching, learning and research and for anyone who needs to organize, contextualize, and access digital information. Using a simple set of tools and a basic visual grammar consisting of nodes and links, faculty and students can map relationships between concepts, ideas and digital content.
Concept mapping is not new to the educational field. In fact, the benefits of concept mapping as a learning tool have been documented by over 40 years of cognitive science research. VUE provides a concept mapping interface, which can be used as such, or as an interface to organize digital content in non-linear ways.
Check out the VUE screencast here. According to an email I just received this afternoon, VUE 2 was just released with the following features:
- Tools for dynamic presentation of maps
- Map merge and analysis tools
- Enhanced keyword tagging and search capabilities
- Support for semantic mapping using ontologies
- Expanded search of online resources (Flickr, Yahoo, Wikipedia, Twitter, PubMed, etc.)
- Ability to publish your VUE maps directly to Fedora digital repositories and Sakai
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