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, Kofi Nyarko, Douglas Gwynn, Willie D. Larkin
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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I hear and I forget. I see and I remember. I do and I understand. ― Confucius

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Case Description

This chapter provides a brief summary as to how new and engaging teaching and training models were introduced into the learning process of students, faculty, and teachers (Jackson & Wilson, 2012). Based on our experience and extensive interactions with the students and faculty, a significant body of thematic issues rose to the forefront in this analysis. In addition, this chapter further discusses how the DHS supported students taught STEM teachers in data visualization while, in turn, the teachers taught students how to create STEM lesson plans. The threads running through this symbiotic relationship were partnerships and collaborations that lead to the development of unique and innovative models for STEM teaching and learning of minority students at a Historically Black College and University.

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