Empowering Learners with a Low-Barrier Mobile Data Science Toolkit
Name
publication-empowering-learners.pdf
Size
276.26 KB
Format
Adobe PDF
Checksum (MD5)
7ff420751f5e0afbb5f50221c4fa3be4
Author(s)
Elhashemy, Hanya
Parks, Robert
Kim, David YJ
Patton, Evan
Abelson, Harold
Date Issued
October 2024
Journal
Proceedings of Constructionism / FabLearn 2023
Publisher
Carnegie Mellon University ETC Press
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.
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Attribution-NonCommercial-NoDerivs 3.0
An error occurred on the license name.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.57862/jfps-mb68
