Episode 3: Tracking, Bias, and The "Math Problem"

Episode 6: Stealing from History: Knowledge, Access, and Cognitive Load

Guest: Art Worrell What can STEM teachers learn from history classrooms? Art Worrell shares how knowledge organizers can reduce cognitive overload, build vocabulary, and support long-term retention. He walks through practical strategies that help students become more independent and confident learners. This episode is packed with immediately usable tools for any educator.

Episode 5: The Transferable Trifecta: Note-taking, Vocabulary, and Data

STEM is more than content—it’s a language. In this episode, Shana breaks down three critical skills that often go untaught: note-taking, vocabulary, and data literacy. These are the tools students need to access complex content and build independence. If you’ve ever wondered why students struggle to keep up, even when they’re trying, this episode connects the dots.

Episode 4: Choosing to See: Uncovering Brilliance in Every Learner

What if the issue isn’t student motivation, but what we choose to see? Dr. Pamela Seda joins the podcast to share her ICUCARE® framework and how educators can shift their instructional approach to uncover brilliance that often goes unnoticed. This conversation is a powerful reminder that when we change how we design learning, we change what students are able to show us.

Episode 3: Tracking, Bias, and The "Math Problem"

Shana tackles the myth that STEM is only for the "fittest." She explores how early educational tracking acts as a massive gatekeeper and discusses the importance of building self-efficacy to end the narrative that students who struggle simply aren't cut out for the work.

Speed up to Slow Down: Earning Your AI Driver's License

Guests: Michael Taubman & Scott Kern AI is moving fast—but are we teaching people how to actually use it well? In this episode, Michael Taubman and Scott Kern (fresh off their New York Times feature) break down why AI should be treated less like a wave and more like learning to drive. From classroom applications to workforce readiness, they share how AI can support deeper thinking—not replace it. If you’re trying to make sense of AI in education or industry, this conversation will help you slow down and get intentional.