Scratch Community Blocks: Supporting Children as Data Scientists
February 01, 2017 Β· Declared Dead Β· π International Conference on Human Factors in Computing Systems
"No code URL or promise found in abstract"
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Authors
Sayamindu Dasgupta, Benjamin Mako Hill
arXiv ID
1702.00112
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CY,
cs.SI
Citations
65
Venue
International Conference on Human Factors in Computing Systems
Last Checked
3 months ago
Abstract
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.
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