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Learning with data : a toolkit to democratize the computational exploration of data

Author(s)
Dasgupta, Sayamindu
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Alternative title
Toolkit to democratize the computational exploration of data
Other Contributors
Massachusetts Institute of Technology. Dept. of Architecture. Program in Media Arts and Sciences.
Advisor
Mitchel Resnick.
Terms of use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
This thesis explores the space of programming with data, focusing on the data-ecosystem opened up by the Internet and Cloud technologies. The central argument of this thesis is that the act of democratizing programmatic access to online data can further unleash the generative powers of this emerging ecosystem, and enable explorations of a new set of concepts and powerful ideas. To establish the validity of this argument, this thesis introduces a learning framework for the computational exploration of online data, a system that enables children to program with online data, and then finally describes a study of children using the system to explore wide variety of creative possibilities, as well as important computational concepts and powerful ideas around data.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2012.
 
Cataloged from PDF version of thesis.
 
Includes bibliographical references (p. 93-95).
 
Date issued
2012
URI
http://hdl.handle.net/1721.1/78203
Department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Publisher
Massachusetts Institute of Technology
Keywords
Architecture. Program in Media Arts and Sciences.

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