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EarSketch: A Web-based Environment for Teaching Introductory Computer Science Through Music Remixing

Published:24 February 2015Publication History

ABSTRACT

EarSketch (http://earsketch.gatech.edu) is a free integrated curriculum, software toolset, audio loop library, and social sharing site that teaches computing principles through digital music composition and remixing. EarSketch students write code in either Python or JavaScript to make music, with a focus on popular genres such as hip hop and dubstep, while learning computing concepts such as variables, iteration, conditionals, strings, lists, functions, and recursion. Attendees to this demonstration session will be introduced to a new web-based version of EarSketch that integrates a code editor, digital audio workstation (DAW) music production interface, curriculum browser, and sharing service into a single integrated browser-based learning environment. This demo is of interest to secondary and early post secondary CS educators and to computing education researchers interested in STEAM and/or broadening participation. No prior musical knowledge or experience is expected and no prior programming experience with Python or JavaScript is required.

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  1. EarSketch: A Web-based Environment for Teaching Introductory Computer Science Through Music Remixing

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        • Published in

          cover image ACM Conferences
          SIGCSE '15: Proceedings of the 46th ACM Technical Symposium on Computer Science Education
          February 2015
          766 pages
          ISBN:9781450329668
          DOI:10.1145/2676723

          Copyright © 2015 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: 24 February 2015

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          Qualifiers

          • demonstration

          Acceptance Rates

          SIGCSE '15 Paper Acceptance Rate105of289submissions,36%Overall Acceptance Rate1,595of4,542submissions,35%

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