Empowering Learners with a Low-Barrier Mobile Data Science Toolkit
Author(s)
Elhashemy, Hanya; Parks, Robert; Kim, David YJ; Patton, Evan; Abelson, Harold
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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.
Date issued
2024-10Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Computer Science and Artificial Intelligence LaboratoryJournal
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
ISBN
978-1-300-99191-5
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