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Title: PlayData: Expressive Data Visualization Through Block-Based Programming
Authors: Fernandez, Cassia
Freitas, João Adriano
Blikstein, Paulo
de Deus Lopes, Roseli
Keywords: Learning Sciences
Issue Date: 2023
Publisher: International Society of the Learning Sciences
Citation: Fernandez, C., Freitas, J. A., Blikstein, P., & de Deus Lopes, R. (2023). PlayData: Expressive data visualization through block-based programming. In Blikstein, P., Van Aalst, J., Kizito, R., & Brennan, K. (Eds.), Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 (pp. 2201-2204). International Society of the Learning Sciences.
Abstract: In this work we present PlayData, a web-based tool designed for young learners to create diverse representational forms for data, taking advantage of the flexibility offered by programming tools. PlayData was designed as a modified version of Scratch 3.0, presenting new specialized blocks for importing, analyzing, and representing data, and a table functionality embedded into the environment. Our design was guided by the premise that the tool should not require extensive instruction to get started with and encourage users to tinker with their data, trying out many ideas iteratively. In this paper, we describe PlayData’s functionalities, and how they relate to the design principles that guided its development. We conclude by sharing lessons learned in pilot studies.
Description: Technology Innovation Paper
Appears in Collections:ISLS Annual Meeting 2023

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