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Scratch Community Blocks: Supporting Children as Data Scientists

Scratch Community Blocks: Supporting Children as Data Scientists Data Culture CHI 2017, May 6­11, 2017, Denver, CO, USA Scratch Community Blocks: Supporting Children as Data Scientists Sayamindu Dasgupta MIT Media Lab Cambridge, MA 02142 sayamindu@media.mit.edu ABSTRACT Benjamin Mako Hill University of Washington Seattle, WA, 98195 {makohill, sdg1}@uw.edu In this paper, we present Scratch Community Blocks, a new system that enables children to programmatically access, analyze, and visualize data about their participation in Scratch, an online community for learning computer programming. At its core, our approach involves a shift in who analyzes data: from adult data scientists to young learners themselves. We first introduce the goals and design of the system and then demonstrate it by describing example projects that illustrate its functionality. Next, we show through a series of case studies how the system engages children in not only representing data and answering questions with data but also in self-reflection about their own learning and participation. Author Keywords Figure 1: A Scratch script, consisting of blocks from the Scratch Community Blocks system. When the "space" key is pressed, this script iterates through all the shared Scratch projects by the user "scratchteam," and during each iteration, a graphical object on the screen says the title of the http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Scratch Community Blocks: Supporting Children as Data Scientists

Association for Computing Machinery — May 2, 2017

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References (54)

Datasource
Association for Computing Machinery
Copyright
Copyright © 2017 by ACM Inc.
ISBN
978-1-4503-4655-9
doi
10.1145/3025453.3025847
Publisher site
See Article on Publisher Site

Abstract

Data Culture CHI 2017, May 6­11, 2017, Denver, CO, USA Scratch Community Blocks: Supporting Children as Data Scientists Sayamindu Dasgupta MIT Media Lab Cambridge, MA 02142 sayamindu@media.mit.edu ABSTRACT Benjamin Mako Hill University of Washington Seattle, WA, 98195 {makohill, sdg1}@uw.edu In this paper, we present Scratch Community Blocks, a new system that enables children to programmatically access, analyze, and visualize data about their participation in Scratch, an online community for learning computer programming. At its core, our approach involves a shift in who analyzes data: from adult data scientists to young learners themselves. We first introduce the goals and design of the system and then demonstrate it by describing example projects that illustrate its functionality. Next, we show through a series of case studies how the system engages children in not only representing data and answering questions with data but also in self-reflection about their own learning and participation. Author Keywords Figure 1: A Scratch script, consisting of blocks from the Scratch Community Blocks system. When the "space" key is pressed, this script iterates through all the shared Scratch projects by the user "scratchteam," and during each iteration, a graphical object on the screen says the title of the

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