Visual Analytics for Students and Teachers (VAST) Model at a Minority Serving Institution: A Department of Homeland Security Project for Strengthening STEM Teaching and Learning

Visual Analytics for Students and Teachers (VAST) Model at a Minority Serving Institution: A Department of Homeland Security Project for Strengthening STEM Teaching and Learning

Timothy Akers (Morgan State University, USA), Kofi Nyarko (Morgan State University, USA), Douglas Gwynn (Morgan State University, USA) and Willie D. Larkin (Morgan State University, USA)
DOI: 10.4018/978-1-4666-5946-9.ch007
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Abstract

This chapter focuses on a model for the teaching and learning of STEM by undergraduate students, teachers, and faculty at Morgan State University that focuses on visual analytics. This project represents an interdisciplinary approach to the teaching and learning of STEM at a Minority Serving Institution funded by the Department of Homeland Security. The chapter also outlines salient strategies associated with challenges at the university. In addition, the chapter discusses partnerships developed with Visual Analytics for Command, Control, and Interoperability Environments (VACCINE), a DHS Center for Excellence at Purdue University that supports DHS priority research in the area of visual analytics.

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