Looking for ways to integrate data science skills into your classroom but not sure where to start - or need new resources to add to your existing toolkit? In this hands-on session, educators will discover a curated selection of practical, classroom-ready resources designed to bring engaging data science experiences to K-12 students. We’ll introduce three distinct sets of tools and materials, each focused on fostering high-level data science skills such as critical thinking, data analysis, and ethical reasoning. These resources are intentionally designed to be adaptable across multiple subject areas, empowering teachers to seamlessly integrate data science into their existing curricula. Whether you teach math, science, social studies, or language arts, you’ll leave the session with actionable strategies and ready-to-use materials that you can implement in your classroom the very next day.
In this session, we will engage in a learner-centered approach to developing scientific principles through data. Participants will work together to build a model of a phenomenon that they observe through videos and experimental apparatus. We will conclude by looking at student data from their engagement in a similar activity. We will discuss how “pedagogical tools” can be used to facilitate knowledge construction in the classroom using science and engineering practices.
