We’ve inherited an industrial model of schooling that treats children like products on an assembly line, spitting them out into massive high schools the moment they hit age 14.

But does the calendar actually reflect a child’s readiness for adult-sized pressures?

In this episode, Terry Dubow sits down with Tree Sturman, Director of the Junior High at Marin Montessori, to poke at the assumptions behind the traditional 9–12 high school structure.

Inside the Episode:

• The 1990s Pivot: How globalization, not developmental science, created the "massive high school" model.

• Wet Concrete: Why building on a soft foundation in 9th grade can lead to cracks later in life.

• Flipping the Pyramid: The power of being a leader in 9th grade vs. starting at the bottom of the social ladder.

• The Root System: A gardener’s metaphor for why "going slow to go fast" produces the sturdiest adults.

  
  

  Be sure to read Tree's article that inspired this episode.

If AI can do the homework, what happens to the student? In this episode, Sam Shapiro sits down with Eric Hudson, a strategic advisor who has helped hundreds of schools navigate the intersection of technology and humanity. Together, they explore how to raise kids who are "AI-literate" but—more importantly—human-centered.

We discuss:

• The "Do Hard Things" Thesis: Why the struggle of learning is the ultimate hedge against an unhealthy, shortcut-obsessed world.

• Literacy vs. Policy: Why building a child’s internal "BS detector" is more protective than any school ban.

• Augmentation over Automation: How to use technology to extend human capability rather than replace it.

In a world where AI can answer every question, how do we teach our children to keep asking them? Tech veteran and artist, Jonathan Arena, joins Sam Shapiro to discuss the "Thinking Hand"—the vital connection between physical making and cognitive growth.

Inside the Episode:

• The Garden Experiment: Using ChatGPT as a "consultant" for a family project.
• Assistant vs. Replacement: Keeping AI in its place as a tool, not a director.
• The Power of Friction: Why the "messy" parts of learning are where the growth happens.
• Intuition: Why human "sensibility" is the one thing AI can't replicate.