IDEAS home Printed from https://ideas.repec.org/a/spr/joiaen/v6y2017i1d10.1186_s13731-017-0072-1.html
   My bibliography  Save this article

Generative art for all

Author

Listed:
  • Michael Tempel

    (Logo Foundation)

Abstract

Background Generative art is created by a system that operates autonomously, or semi-autonomously, rather than directly by the artist. The artist creates the system and establishes parameters that affect the outcome, but the outcome itself emerges from the system rather than from the artist. Generative art systems are frequently computer programs, although biological, social, or other systems may also be used as well. Findings Computer programming environments are often technically demanding, but there are also those that are more accessible and offer novices ways to engage with concepts and practices of generative art. We report on our experience with two such environments, TurtleArt and Scratch, that we have used in workshops with preservice and in-service teachers over the past several years. Conclusions TurtleArt and Scratch are two programming environments that are accessible to novices and provide a way to explore and create works of generative art.

Suggested Citation

  • Michael Tempel, 2017. "Generative art for all," Journal of Innovation and Entrepreneurship, Springer, vol. 6(1), pages 1-14, December.
    • Handle: RePEc:spr:joiaen:v:6:y:2017:i:1:d:10.1186_s13731-017-0072-1
    DOI: 10.1186/s13731-017-0072-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s13731-017-0072-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1186/s13731-017-0072-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:joiaen:v:6:y:2017:i:1:d:10.1186_s13731-017-0072-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.