In this episode, Priten speaks with Laura Schroeder, an 18-year-old student in Germany who spent a year at an American high school and now participates in the Knowledge Society, a global innovation program for ambitious teens. Laura's dual experience across two education systems reveals a critical tension: while schools provide foundation and structure, ambitious students increasingly find their most meaningful learning happening outside formal classrooms, driven by curiosity and real-world project work rather than standardized curricula.

Key Takeaways:

• American schools excel at fostering belonging and passion; German schools prioritize academic depth. The US system's emphasis on extracurriculars, personalized classrooms, and elective variety created a strong sense of community and identity, while Germany's more rigorous curriculum moved students through material years ahead—showing that schools can optimize for different values but rarely achieve both simultaneously.
• Technology in classrooms creates distraction rather than learning gains. Whether Chromebooks or iPads, digital devices enable both research efficiency and constant off-task engagement; Laura's choice to prioritize TKS work over classroom attention reveals that access to devices lets ambitious students opt out, while less motivated students simply drift.
• Project-based learning and standardized structures cannot coexist. Rigid schedules, subject silos, and grades as numbers fundamentally conflict with the flexible, exploration-driven learning Laura values—and attempting to layer PBL onto existing structures, or adding AI without rethinking foundations, misses the deeper architectural problem.
• School provides maturity and awareness that independent learning cannot. Laura credits high school with giving her the lived experience of education's shortcomings, which then motivated her own solutions; skipping formal education earlier wouldn't have accelerated her impact because she lacked the contextual understanding to see the problems that mattered.
• The students most prepared for the future are building it themselves alongside school, not through it. TKS, her project Passion Fruit, and her conference attendance are where Laura develops judgment, iteration, and genuine stakes—school becomes optional context rather than the primary engine of growth for students who have found their direction.

Laura Schroeder is a high school student driven by curiosity and a desire to create meaningful impact. As an Innovator at The Knowledge Society, she builds projects at the intersection of AI, project-based learning, and student agency. Laura is on a mission to reimagine secondary education by returning to first principles and the 'why' behind education - advocating for personalized, interdisciplinary, and foundational education that equips students to thrive in today’s world and the one ahead.

In this episode, Priten speaks with Melvin D. Smith II, a digital learning specialist and computer science teacher at an all-girls school in Maryland where he teaches a required ninth-grade course called Digital Thinking. Smith challenges the assumption that today's youth are automatically tech-savvy and doesn't shy away from restricting access—his school has a no-phone policy—while simultaneously teaching students how to think and communicate with intention in digital spaces. His perspective cuts through both extremes: neither "let them use everything" nor "technology is bad" but rather "understand what you're actually doing and why."

Key Takeaways:

• Being surrounded by technology is not the same as understanding it. Students who've grown up with devices don't automatically know what cookies are, how algorithms predict behavior, or what happens to their data—the access itself teaches nothing without deliberate instruction on how the systems actually work.
• Removing phones from the classroom improved student focus, and students embraced the restriction because it came from them. When administration asked students what they thought about a no-phone policy rather than imposing it, students volunteered the idea and enforced it themselves—suggesting that transparency and student agency can matter more than the rule itself.
• Communication is the foundational skill that makes everything else—including AI use—work. Whether students are writing essays, coding, or prompting AI, the core challenge is knowing how to articulate what they actually want; bad communication produces poor results regardless of the tool.
• AI should be a sparring partner that pushes back, not a butler that does the work. The distinction between using AI to clarify thinking through dialogue and using it to bypass thinking entirely shapes whether it's a learning tool or a shortcut, and teachers need to model and enforce that distinction explicitly.
• The "digital native" myth obscures what students actually need to learn. Today's students need basic digital literacy—not just access to technology—and they need adults to show them responsible use in real time, because peer pressure and the competitive advantage of shortcuts remain powerful forces.

Melvin D. Smith II’s path to tech instruction has been all but a clear one: first planning to be an astronaut to pilot the space shuttle, then changing to become a physician, then neuroscience researcher... 27 years ago he started his career in teaching (formal and informal) science. Adopting the philosophy of STEAM instruction before it became a thing, he fully embraced and utilized the disciplines for the learning environment- in and outside the classroom. Fast forward to his current position at Garrison Forest School in Maryland, Melvin still maintains that practical learning is the most salient and beneficial to developing soft skills and transferable knowledge. Whether in the Digital Thinking class, discussing and practicing the uses of technology to maintain a positive digital footprint; AP Computer Science Principles, where application development coincides with block and text coding; or a brand new course on the history and pedagogical use of AI, his coursework is still rooted in the idea that each student can be reached and succeed if they are given the correct tools, are willing to put forth the effort, and granted a little patience.

In this episode, Priten speaks with Lorin Koch, an educator who has taught across high school, online, and college settings after starting his career in journalism. Koch brings perspective from multiple vantage points—as a classroom teacher navigating AI integration, an online instructor confronting assessment challenges, and a parent of soon-to-be teenagers. Together they explore what happens when students understand the difference between learning and shortcutting but choose the shortcut anyway, and whether responsibility can be taught when the incentive to take a quick way out has never been lower.

Key Takeaways:

• Understanding responsibility is not the same as practicing it. Students conceptually grasp that using AI to do their work for them is wrong, but when faced with pressure to get things done, they often choose the shortcut anyway—suggesting that knowing what you should do doesn't guarantee you'll do it.
• Self-paced, online environments create new accountability problems that have nothing to do with AI. The absence of in-person interaction makes it harder to detect cheating and easier to rationalize it, which means AI hasn't created the problem of student disengagement—it's simply made it more visible and more scalable.
• Your teaching intuition about whether something is AI-generated will become less reliable. As students grow up reading AI-generated text, their own writing will be shaped by those patterns, making it harder for teachers to distinguish between authentic voice and AI assistance based on stylistic markers alone.
• Presenting work through dialogue forces different stakes than submitting text alone. Requiring students to explain their thinking through presentations or discussion boards creates accountability that's harder to fake, even if the source material was AI-generated.
• The gap between high-achieving and struggling students will likely widen because of how students think about time. Students with short-term vision—those thinking about the next 24 hours rather than long-term consequences—are the most vulnerable to AI shortcuts, and they're also the ones who need human attention most.

Lorin Koch is an educator with 21 years experience teaching high school and 3 years as a college instructor of education. He holds an Ed.D. degree from the University of South Carolina. Lorin currently teaches online and in person from Washington state, where he works at Walla Walla University. He also writes and presents on Artificial Intelligence in education, focusing on integrating generative AI into the classroom.