#425: Computational Qualitative Analysis of Elementary Students’ Understanding of Data and Data Science

This study used a computational qualitative approach to examine how a data unit designed around elementary students’ lived, emotional, and embodied experiences impacted their understanding of data. Pre/post-test responses were analyzed using semantic similarity and qualitative open coding to connect measurable patterns with interpretive nuances. Results showed that students expanded their understanding of data and recognized its role in daily life. The qualitative interoperation also identified specific design features for further video analysis.