Discovering the hidden users of Scratch
Name
1078688006-MIT.pdf
Description
Full printable version
Size
1.31 MB
Format
Adobe PDF
Checksum (MD5)
325103f8ade80c9f555610d92d6a83da
Author(s)
Mohan, Samarth
Advisor(s)
Andrew Sliwinski and Mitchel Resnick.
Date Issued
2018
Publisher
Massachusetts Institute of Technology
Abstract
Usage statistics ("telemetry data") have become an essential tool for understanding how complex systems are used and how to improve them. However, many of these systems are deployed in areas with limited internet connectivity which hampers the ability to collect telemetry data. In this thesis, we describe a telemetry data collection system built for the Scratch programming language to collect usage data regarding how Scratch is being used in areas with poor internet connections. We develop the system to allow users to opt-in to sharing their usage and project data with the Scratch research team at the MIT Media Lab. The data is stored locally on the user's machine until it is ready to be transmitted. Once network conditions are appropriate, the packets are transmitted to a server which verifies the contents of the packet and stores it in a data storage cluster. We aggregate the data and build a visualization dashboard to examine usage patterns, geolocation statistics, and project content for Scratch users all around the world.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 52-54).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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