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abstract

Using an Art Show in CS1 to Spark Interest in Computer Science

Published:22 February 2019Publication History

ABSTRACT

Media computation provides a context within which computation can more easily be learned, allowing students to be creative while learning fundamental programming building blocks (like sequencing, iteration, selection, and two-dimensional arrays). Focusing on images, students can alter a picture's appearance by selectively changing its pixels. By combining different images, students can create collages. Creativity and success in CS1 have been studied. The effect media computation and an art show might have on student satisfaction and persistence, and promotion of the department is less understood. We articulate our experiences from five years of implementing media computation in CS1, with a strong focus on an accompanying public art show held to showcase the best student work produced each semester. We implemented the art show with a goal of raising visibility of our department within the university, and to highlight the ability to be creative in a CS degree program, with the hope of attracting students. It also allows our students to showcase their work to their peers and others, while motivating them to be creative and engaged. We briefly describe how we implement media computation within CS1 and describe in full detail how we conduct the public art show. Specifics about the student image collage project that is entered into the art show, the selection process, judging, show production, and promotion are provided. We describe how things have evolved over the ten shows spread over five years to provide perspective for others considering implementation of a similar experience for their students.

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  1. Using an Art Show in CS1 to Spark Interest in Computer Science

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      • Published in

        cover image ACM Conferences
        SIGCSE '19: Proceedings of the 50th ACM Technical Symposium on Computer Science Education
        February 2019
        1364 pages
        ISBN:9781450358903
        DOI:10.1145/3287324

        Copyright © 2019 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 22 February 2019

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        Acceptance Rates

        SIGCSE '19 Paper Acceptance Rate169of526submissions,32%Overall Acceptance Rate1,595of4,542submissions,35%

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