Scratch Community Blocks: Supporting Children as Data Scientists

February 01, 2017 Β· Declared Dead Β· πŸ› International Conference on Human Factors in Computing Systems

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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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