In this active session, K-5 educators will engage in hands-on, data investigations that are appropriate for young learners and enriched with culturally meaningful contexts drawn from Montana’s diverse communities and landscapes, specifically those of Montana's Indigenous Peoples. Participants will experience data tasks as learners, explore how to introduce related cultural knowledge respectfully, and leave with ready-to-use tasks that integrate measurement, data collection, and analysis aligned to grade-level standards.
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.
Explore aiEDU's proven approach to building communities of practice using AI literacy-focused curriculum and aiEDU’s AI Trailblazers Fellowship as a model. Examine aiEDU's AI Readiness Framework to identify the student competencies essential for AI literacy and readiness, and use it as a lens for evaluating curricular resources. Apply these competencies to analyze instructional practice, discuss strategies for replicating AI-focused CoPs in your own setting, and develop an actionable implementation plan.
Talk to Connor about: - Talking to Students and Staff about AI - AI Literacy/AI Readiness (what it is and how to access FREE curriculum) - How AI works - Vibecoding - District level AI support roles - Your favorite Talking Heads song
This presentation details the application of the Rapid Forest Assessment protocolfor systematically collecting and analyzing ecological data in a forest landscape. Participants will learn how to implement RFA as a citizen science collaboration with local public land managers. Data collected and organized by students can provide land managers with a clear, science-based assessment to evaluate the success of fire as a management tool, track ecosystem health, and make informed decisions for future landscape resilience. Participants will also learn about other STEM resources related to citizen science and the SMART FIRES project (Sensors, Machine Learning , and Artificial Intelligence for Real-Time Fire Science). Attendees will have the chance to win one of two Rapid Forest Assessment kits to take home with them.
The Science Math Resource Center (SMRC) is devoted to the advancement of science and mathematics teaching and learning. We provide professional development for a new generation of K-12 educators of tribal, rural, and urban communities; conduct educational research; and coordinate... Read More →
