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Madeup: A Language for Making Things Up (Abstract Only)

Published: 24 February 2015 Publication History

Abstract

Madeup is a programming language for making things up. Its speakers walk paths through space to generate printable 3D models. The language is designed to teach computation from a tangible, first-person perspective and help students integrate computation back into the physical world. Madeup is inspired largely by Seymour Papert, whose goal was to provide learners objects to think with. Madeup joins a significant crowd of existing introductory teaching tools. What sets Madeup apart from many of these other projects is its physical product. The model that a programmer creates does not remain virtual. It can be printed, felt, carried in a pocket, and handed to a parent or friend - all of which may make computation more real and relevant in the eyes of the programmer. In this poster we demonstrate the language and how we have used it in outreach with local schools and libraries.

References

[1]
M. Eisenberg and L. Buechley. Pervasive fabrication: Making construction ubiquitous in education. Journal of Software, 3(4), 2008.
[2]
S. Papert. Mindstorms: Children, Computers, and Powerful Ideas. Basic Books, Inc., New York, NY, USA, 1980.

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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
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.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 February 2015

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Author Tags

  1. 3d modeling
  2. 3d printers
  3. educational programming languages

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SIGCSE '15
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SIGCSE '15 Paper Acceptance Rate 105 of 289 submissions, 36%;
Overall Acceptance Rate 1,787 of 5,146 submissions, 35%

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