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Connecting artistically-inclined K-12 students to physics and math through image processing examples
Conference paper

Connecting artistically-inclined K-12 students to physics and math through image processing examples

Gail Rosen, Jason Silverman and Adheer Chauhan
2009 IEEE 13TH DIGITAL SIGNAL PROCESSING WORKSHOP & 5TH IEEE PROCESSING EDUCATION WORKSHOP, VOLS 1 AND 2, PROCEEDINGS, pp 419-424
01 Jan 2009
DOI: https://doi.org/10.1109/DSP.2009.4785960

Abstract

Computer Science, Artificial Intelligence Engineering, Electrical & Electronic Science & Technology Computer Science Engineering Technology Telecommunications
Our goal is to use the context of image processing to stimulate interest and, ultimately, develop students' understandings of the math and science concepts in the K-12 classroom. The paper will present ideas to the signal processing community on how image processing can connect directly to Standard curricular concepts. Since many teachers are confined to set-curricula, this can limit the scope of illustrating more advanced DSP concepts in the high school classroom. Ultimately, the goal is for students to conduct their own inquiry and to understand the principles behind artistic tools while learning math and science. This paper presents the development of image processing tools that will be tested throughout the 2008-2009 school year.

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3 citations in Web of Science
10 citations in Scopus

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Web of Science research areas
Computer Science, Artificial Intelligence
Engineering, Electrical & Electronic
Telecommunications
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