VAST contest dataset use in education

Author

Whiting, Mark A. ; North, Chris ; Endert, Alex ; Scholtz, Jean ; Haack, Jereme ; Varley, Carrie ; Thomas, Jim

fYear

2009

fDate

12-13 Oct. 2009

Firstpage

115

Lastpage

122

Abstract

The IEEE Visual Analytics Science and Technology (VAST) Symposium has held a contest each year since its inception in 2006. These events are designed to provide visual analytics researchers and developers with analytic challenges similar to those encountered by professional information analysts. The VAST contest has had an extended life outside of the symposium, however, as materials are being used in universities and other educational settings, either to help teachers of visual analytics-related classes or for student projects. We describe how we develop VAST contest datasets that results in products that can be used in different settings and review some specific examples of the adoption of the VAST contest materials in the classroom. The examples are drawn from graduate and undergraduate courses at Virginia Tech and from the Visual Analytics ldquoSummer Camprdquo run by the National Visualization and Analytics Center in 2008. We finish with a brief discussion on evaluation metrics for education.

Keywords

data visualisation; educational technology; information analysis; IEEE visual analytics science and technology; VAST; education; evaluation metrics; information analysts; Application software; Computer science; Computer science education; Data visualization; Educational institutions; Educational technology; Government; Information analysis; Laboratories; Visual analytics; education; evaluation; synthetic data;

fLanguage

English

Publisher

ieee

Conference_Titel

Visual Analytics Science and Technology, 2009. VAST 2009. IEEE Symposium on

Conference_Location

Atlantic City, NJ

Print_ISBN

978-1-4244-5283-5

Type

conf

DOI

10.1109/VAST.2009.5333245

Filename

5333245