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dc.contributor.authorElhashemy, Hanya
dc.contributor.authorParks, Robert
dc.contributor.authorKim, David YJ
dc.contributor.authorPatton, Evan
dc.contributor.authorAbelson, Harold
dc.date.accessioned2025-10-07T20:38:37Z
dc.date.available2025-10-07T20:38:37Z
dc.date.issued2024-10
dc.identifier.isbn978-1-300-99191-5
dc.identifier.urihttps://hdl.handle.net/1721.1/163071
dc.description.abstractThis paper introduces a novel data science toolkit designed specifically for children, enabling them to create mobile apps integrated with data science capabilities. The toolkit showcases new features that simplify the data science process for young users. Additionally, the paper presents a collection of example apps created using the toolkit, highlighting the versatility and potential of this innovative platform. By empowering children to explore data science through app development, this toolkit opens exciting opportunities for hands-on learning and creative expression in the field of citizen science.en_US
dc.language.isoen_US
dc.publisherCarnegie Mellon University ETC Pressen_US
dc.relation.isversionof10.57862/jfps-mb68en_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0en_US
dc.rightsAn error occurred on the license name.*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/en_US
dc.sourceSadie Roosa for authorsen_US
dc.titleEmpowering Learners with a Low-Barrier Mobile Data Science Toolkiten_US
dc.typeArticleen_US
dc.identifier.citationElhashemy, Hanya, Parks, Robert, Kim, David YJ, Patton, Evan and Abelson, Harold. 2024. "Empowering Learners with a Low-Barrier Mobile Data Science Toolkit." Proceedings of Constructionism / FabLearn 2023.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.relation.journalProceedings of Constructionism / FabLearn 2023en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.date.submission2025-10-07T20:37:02Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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