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Investigating the Epistemic Performance Goals That Support Elementary School Students' Data Literacy

Sun, April 11, 4:10 to 5:40pm EDT (4:10 to 5:40pm EDT), Division C, Division C - Section 3a: Learning Environments Paper and Symposium Sessions


Effective data science education is important to implement given our data-saturated society; yet teachers need support in cultivating and recognizing the epistemic performance goals (which involve the beliefs and practices necessary to establish, critique, and use knowledge within a domain) to advance data literacy with elementary students. Here we examined the impact of a curriculum that combined experimentation (with simulations) and data analysis using the Apt-AIR framework, which specifies educational epistemic goals, to understand performances contributing to improved data literacy. Results illustrated that students articulated cognitive, caring about/enjoyment, metacognitive, and to a lesser extent, collaborative epistemic practices that supported data literacy. We discuss further trends in epistemic performance related to data literacy that emerged, and their implications for teaching practice.