This is a new area for me, one that I proposed to explore in the ICLS Early Career Workshop:
More confidently uncertain? Teaching learners to apply Bayesian methods to make sense of scientific phenomena
While analyzing data is an important learning in science domains, existing methods and tools for those learning to work with data have key limitations, particularly concerning scientific modeling. This early-stage research is intended to begin a line of work on students’ data analysis that is not yet widely used in K-12 learning environments, Bayesian statistical methods, with implications for how learners use evidence in science education.
The copyright for the ICLS conference proceedings allows authors to distribute their papers, and so I am sharing the paper here; I welcome any thoughts or feedback on this early-stage work.