{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/119730"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/119730","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Discovering the hidden users of Scratch","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Mohan, Samarth"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.","school":null,"contributors":[],"advisors":["Andrew Sliwinski and Mitchel Resnick."],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018","date_published":"2018","updated_at":"2026-07-22T22:21:14Z","subjects":["Electrical Engineering and Computer Science."],"languages":["eng"],"rights":["MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/119730","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Andrew Sliwinski and Mitchel Resnick."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science."]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science."]},{"key":"dc:creator","label":"Author","values":["Mohan, Samarth"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2018-12-18T19:47:36Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2018-12-18T19:47:36Z"]},{"key":"dc:date.issued","label":"Date","values":["2018"]},{"key":"dc:publisher","label":"Institution","values":["Massachusetts Institute of Technology"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Electrical Engineering and Computer Science."]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission."]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://dspace.mit.edu/handle/1721.1/7582"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/1721.1/119730"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["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)."]},{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M. Eng."]},{"key":"dc:title","label":"Title","values":["Discovering the hidden users of Scratch"]}]}],"canonical_facts":{"dc:contributor.advisor":["Andrew Sliwinski and Mitchel Resnick."],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science."],"dc:contributor.other":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science."],"dc:creator":["Mohan, Samarth"],"dc:date.accessioned":["2018-12-18T19:47:36Z"],"dc:date.available":["2018-12-18T19:47:36Z"],"dc:date.issued":["2018"],"dc: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)."],"dc:description.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."],"dc:description.degree":["M. Eng."],"dc:identifier.uri":["http://hdl.handle.net/1721.1/119730"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission."],"dc:rights.uri":["http://dspace.mit.edu/handle/1721.1/7582"],"dc:subject":["Electrical Engineering and Computer Science."],"dc:title":["Discovering the hidden users of Scratch"],"dc:type":["Thesis"]},"updated_at":"2026-07-22T22:21:14Z"}