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. 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. VUE 3.0, the latest release, was funded under a grant from the Andrew W.
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VUE is licensed under the Educational Community License. The application is developed by the Academic Technology group at Tufts University. Sharing and presenting information are important aspects of academic work. The Visual Understanding Environment or VUE is a free, open source concept mapping application written in Java. 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. Visual Understanding Environment (VUE) is an application for concept and content mapping for students, academic workers, CEOs, managers and writers which provides a simple yet powerful set of tools and a basic visual grammar consisting of nodes and links, and maps relationships between concepts, ideas and digital content to organize. 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. VUE is very easy to use but also contains a lot of advanced features (many of which I have yet to explore). vpk files can be double clicked to open them in VUE. desktop file so that it registers with desktop launchers and and can be used for file associations so that.
#SAMPLES OF VUE VISUAL UNDERSTANDING ENVIRONMENT MAC OS#
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. My favorite software for concept mapping is the Visual Understanding Environment (VUE), a free package produced by researchers at Tufts University that works on Mac OS X, a variety of Windows versions, and Linux. Solve various vue (Visual Understanding Environment) problems see issue 42 and 43.Linux: Build a version of VUE that can be placed in /usr/bin and has an associated.
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Visit Tufts University to find out more information.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. These features make complex maps accessible to learners by providing a guided tour of the content and by allowing users to search for, display and/or conceal map elements in support of customized presentations. In addition to an emphasis on mapping digital content, VUE also allows map authors to create visual pathways through a content map and supports the assignment of author-defined metadata to map elements. The data sources and resource panels are designed to place digital files at your fingertips in support of content mapping. VUE was designed based upon the need for easy access to and organization of digital content, whether local or stored in persistent digital library systems. When concept maps and the ideas they represent are connected to digital resources, as in VUE, concept maps also become content maps. They provide visual representations of complex ideas or processes and the ways in which these elements are connected or interrelated. How is VUE different from existing concept mapping software?Ĭoncept maps have had a long and fruitful history in education for both teaching and learning. JCDL 07: Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries.