| dc.contributor.author | Elhashemy, Hanya | |
| dc.contributor.author | Parks, Robert | |
| dc.contributor.author | Kim, David YJ | |
| dc.contributor.author | Patton, Evan | |
| dc.contributor.author | Abelson, Harold | |
| dc.date.accessioned | 2025-10-07T20:38:37Z | |
| dc.date.available | 2025-10-07T20:38:37Z | |
| dc.date.issued | 2024-10 | |
| dc.identifier.isbn | 978-1-300-99191-5 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/163071 | |
| dc.description.abstract | This 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.iso | en_US | |
| dc.publisher | Carnegie Mellon University ETC Press | en_US |
| dc.relation.isversionof | 10.57862/jfps-mb68 | en_US |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 | en_US |
| dc.rights | An error occurred on the license name. | * |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ | en_US |
| dc.source | Sadie Roosa for authors | en_US |
| dc.title | Empowering Learners with a Low-Barrier Mobile Data Science Toolkit | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Elhashemy, 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.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
| dc.relation.journal | Proceedings of Constructionism / FabLearn 2023 | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dspace.date.submission | 2025-10-07T20:37:02Z | |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |