Document Type
Conference Object
Disciplines
Data Science | Physical Sciences and Mathematics | Social and Behavioral Sciences
Abstract
This paper presents an overview of the research that I have conducted as part of my PhD studies. The aim of this research is to explore the potential of data physicalization to enhance and improve STEM learning. Specifically, this research is focused on exploring the ways in which physical data representations can be used to clarify dense scientific, technological, engineering or mathematical concepts, and support novel interactions to increase user engagement and learning. My aim is to achieve this through the design, deployment and evaluation of a series of data physicalizations representing STEM concepts and data sets.
Recommended Citation
Sarah Hayes. 2018. Exploring the Potential of Data Physicalization for STEM Learning. In Proceedings of the Twelfth International Conference on Tangible, Embedded, and Embodied Interaction (TEI '18). Association for Computing Machinery, New York, NY, USA, 703–705. https://doi.org/10.1145/3173225.3173338
Publication Details
TEI '18, March 18–21, 2018, Stockholm, Sweden.