Leverage how people learn to integrate key data skills
with your science content through tips and strategies to engage with real-world
data, science, and literacy.
Participants will gain: 1. a framework for thinking about how people learn with data and what the steps are along the progression from being a novice to expert user of data in STEM; 2. strategies and resources to use in our existing science teaching to better set students up for success in the future as they build their mastery of data skills to become more data and science literate, without adding more stress on a crowded curriculum; and 3. a suite of tips and tricks to integrate into your current science curriculum that enhance how students work with data to learn the content, ask questions and explore the data, analyze and interpret the data, and critically evaluate evidence and claims.
Kristin Hunter-Thomson (Dataspire Education & Evaluation, Rutgers University: Princeton, NJ)