made by the VUE team on their forums, new features include: tools for dynamic presentation of maps, map merge and analysis tools,Įnhanced keyword tagging and search capabilities, support for semantic mapping using ontologies, expanded search of online resources such as Flickr, Yahoo, Twitter, or PubMed. The Visual Understanding Environment (VUE) project at Tufts Academic Technology department provides faculty and students with tools to successfully. The project's most recent release, VUE 3, has added many new features which distinguish it from traditional concept mapping tools.

Tufts University's VUE development team has coordinated releases of the VUE project. Using VUE's concept mapping interface, faculty and students design semantic networks of digital resources drawn from digital libraries, local and remote file systems. VUE provides a flexible visual environment for structuring, presenting, and sharing digital information. The VUE project at Tufts UIT Academic Technology is focused on creating flexible tools for managing and integrating digital resources in support of teaching, learning and research. VUE 3.0, the latest release, was funded under a grant from the Andrew W.

VUE is licensed under the Educational Community License. The application is developed by the Academic Technology group at Tufts University. The Visual Understanding Environment ( VUE) is a free, open-source concept mapping application written in Java. Partial translations: Bulgarian, Chinese, German, Hungarian, Russian, Spanish. VUE can be used by anyone interested in visually structuring digital content, whether in support of teaching difficult to understand concepts or more generally, a tool for organizing personal digital resources.English, French, Portuguese, Greek, Italian. VUE also provide tools to apply semantic meaning to the maps, by way of ontologies and metadata schemas. VUE also provides supports for in-depth analysis of maps, with the ability to merge maps and export connectivity matrices to import in statistical packages. The power of VUE’s slide mode is the ability for presenters to focus on content (slide view) while preserving the information’s context (map view), by way of a single toggle between the two views. The pathways feature also provides a “slide view” of the information on the map. VUE’s pathways feature allows presenters to create annotated trails through their maps, which become expert guided walk-throughs of the information. Sharing and presenting information are important aspects of academic work.

Digital content can be accessed via the Web, or using the VUE’s “Resources” panel to tap into digital repositories, FTP servers and local file systems. As the availability of digital information continues to increase, VUE sets itself apart as a flexible tool to help faculty and students integrate, organize and contextualize electronic content in their work. Numerous tools currently exist for locating digital information, but few applications are available for making sense of the information available to us. VUE provides a concept mapping interface, which can be used as such, or as an interface to organize digital content in non-linear ways. In fact, the benefits of concept mapping as a learning tool have been documented by over 40 years of cognitive science research. 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.Ĭoncept mapping is not new to the educational field. 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. Visual Understanding Environment is a very easy application that allows you to create diagrams and presentations quickly.

Visual understanding environment