future of learning

AI in Elementary Education: Teaching Tech to Our Youngest Learners - Episode 51

Teaching AI in Elementary School: Preparing the Youngest Learners for a Digital Future

What happens when a kindergartener feels more comfortable with an iPad than a pair of scissors? Or when a fourth grader wonders aloud whether Alexa is “watching” them? These are not hypotheticals — they are real stories from today’s classrooms, where the line between technology, childhood, and learning is shifting faster than ever.

In our latest episode of Modem Futura, Andrew Maynard and I were joined by educator Tara Menghini, who has spent more than 25 years teaching technology and computer science to K–6 students. Tara’s perspective is invaluable: she sees firsthand how children engage with digital tools, how myths like the “digital native” mislead us, and why teaching judgment and balance is just as important as teaching coding.

A few highlights from our conversation:

The myth of the digital native. Just because kids swipe naturally on a tablet doesn’t mean they understand how technology works — or the trade-offs it creates. They need explicit guidance and context. As I share in pod, from my own anecdotal experience I’ve found that many students who would be labeled “digital native” are less equipped with the skills of learning how the technology actually works and have been satisfied with just accepting its existence as is without deeper inquiry. While younger generations of students might feel more at home just picking up and using (at face value) a digital technology or service - it is by no means a measure of their understanding or literacy with said technology.

Balancing screens and hands-on learning. Tara described how kids light up when coding off-screen through design-thinking and project-based learning. The goal is not to reject technology, but to show that creativity and problem-solving exist both on and off the screen. Screen time is not a zero-sum game - it can be structured and equally as important, all kids (and adults for that matter) are different and can handle varying levels of interaction (yes, I see you at 11 p.m. on your second hour of doom scrolling…) / finding balance is not an instant win - it might take time to find the right amount. A reminder or tip for fellow parents out there with smaller kids - depending on the platform ( Apple or Google, etc.), there are great parental administration controls to help you enforce and control screen time and content for young learners.

Digital citizenship starts young. From group chats to online games like Roblox and Minecraft, students face social and ethical challenges earlier than ever. Teaching consent around photos, navigating online friendships, and recognizing privacy trade-offs are essential life skills.

  • Roblox Parental Controls [website]

  • Nerdy Birdy Tweets by Aaron Reynolds and Matt Davies (a cautionary tale of impacts of making mistakes online and with social media) [Amazon]

AI in the classroom. While her district limits direct hands-on AI use for students under 13, Tara has found creative ways to teach AI literacy — from classroom debates on “Would you rather read with a human or an AI?” to storybooks that highlight what machines cannot feel or know. This conversation raises many thoughts and ideas - and one of those is the open question as to “when is it appropriate to have students directly engage with various AI tools or platforms”? Certainly not an easy question to ask - as the question itself has many variables that are changing - and not all AI tools are the same. Is it okay to use a generative AI platform to create images for a project or story? What about creating language? Or using voice models to bring a historic figure “back to life” to make learning more engaging? Where do we draw the line - who draws said line, and how do we know when we’ve gone too far?

Parents and teachers as partners. Perhaps most importantly, Tara reminds us that preparing kids for an AI-shaped world isn’t just the job of schools, it will take the literacy village. Parents need to understand the tools their children use, ask questions, and engage in open conversations. Fundamentally this is a societal challenge - and one that cannot be placed squarely on the shoulders of an already taxed educational system.

This episode is as much about the future of learning as it is about the future of being human. Kids today will grow up in a world where AI is a constant presence — but it’s the values we nurture, the skills we model, and the curiosity we encourage that will matter most.

Join the conversation:

We’d love to hear your thoughts: when do you think the most appropriate time for kids to start intentionally engaging with AI is?

If you’d like to dive deeper, jump into the link and listen to the podcast or watch the YouTube video. Join us as we explore the forces shaping our collective future and the urgent need to keep human values at the heart of innovation.

Subscribe and Connect!

Subscribe to Modem Futura on a favorite podcast platform, follow on LinkedIn, and join the conversation by sharing thoughts and questions. The medium may still be the massage, but everyone has a chance to shape how it kneads modern culture—and to decide what kind of global village we ultimately build.

🎧 Apple Podcast: https://apple.co/3KqJ4CJ

🎧 Spotify: https://open.spotify.com/episode/6huSRZQxI8SMUu1ja5BO61?si=pQDBzsqzQTqiWGIcGF5mgg

📺 YouTube: https://youtu.be/d1l_X-7ygbM

🌐 Website: https://www.modemfutura.com/

Summer School with AI: Rethinking Learning in the Age of GPT – Episode 41

Summer School with AI: Why “Back to Basics” Isn’t Enough

Why this episode matters? If you’re charting strategy for schools, workforce development or lifelong learning, this discussion offers a candid roadmap—and a few provocative questions—for navigating the next decade of educational transformation.

This month on Modem Futura I welcomed Rachna Mathur, Ed.D. —engineer, artist, lifelong-learner and Senior STEM Strategist at ASU Preparatory Academy—to a scorching‑hot Arizona studio for a free‑flowing “summer session” on the future of learning in the age of generative AI.

Our conversation touches on many aspects of learning and AI, but laser in on the implications of living the “digital world” for learning, partially inspired from the headline that shocked many educators: Sweden’s decision to pull back from screens and re‑embrace handwriting and printed books after seeing declines in comprehension and critical‑thinking benchmarks. We explore the move as an important—but incomplete—signal. We arguee that the real challenge is finding a sustainable balance between analog depth and digital acceleration, not retreating wholesale from technology, and not leaning into a pure technological solution just for technologies sake.

The theme of moderation threads the entire episode. We swap Montessori childhood stories—self‑directed, community‑anchored, and surprisingly common among tech leaders—before examining how that philosophy might translate to AI‑rich classrooms where personalization risks isolation if community norms aren’t protected.

We then fast‑forward 50 years to imagine two stark futures: a post‑scarcity Star‑Trek‑style society of flourishing creativity, or the WALL‑E “hover‑chair” dystopia where humans outsource thinking, writing and even curiosity to autonomous agents. In both scenarios, today’s policy and design choices in K‑12 systems carve the path. Should we double‑down on foundational literacies—or teach students how to audit machine output for bias, hallucination and relevance?

We highlight the rising cognitive load on teachers, who are expected to master every “shiny new doodad” while still wearing a dozen other hats. We discuss realistic guardrails: cell‑phone moderation policies; AI readers that empower dyslexic learners; and iterative, living guidelines that evolve alongside the tech itself rather than one‑and‑done declarations.

Finally, we confront the looming content‑collapse problem (the recursive nightmare that may be building right in front of us): models now train on data increasingly generated by other models, a self‑referential “snake eating its own tail” that threatens originality and human perspective. Our shared conclusion? Educators, parents and technologists must collaborate on a middle path that preserves human agency, cultivates critical judgment, and leverages AI as an amplifier—not a crutch.

🎧 Listen on Apple Podcasts: https://apple.co/4o6LwOc

📺 Watch us on YouTube: https://www.youtube.com/@ModemFutura

If you’d like to dive deeper, jump into the link and listen to the podcast or watch the YouTube video. Join us as we explore the forces shaping our collective future and the urgent need to keep human values at the heart of innovation.

Subscribe and Connect!

Subscribe to Modem Futura on a favorite podcast platform, follow on LinkedIn, and join the conversation by sharing thoughts and questions. The medium may still be the massage, but everyone has a chance to shape how it kneads modern culture—and to decide what kind of global village we ultimately build.

🎧 Apple Podcast: https://apple.co/4o6LwOc

🎧 Spotify: https://open.spotify.com/episode/1E9LMkkOTYvTJVwlb6Ey0F?si=ADMbNGEWSUW-Jdx-h0oBsA

📺 YouTube: https://youtu.be/cvxHCJxahlg

🌐 Website: https://www.modemfutura.com/

Futures of Learning: AI in Education with Punya Mishra – Episode 33

Friction Required: How will a world transformed by emerging technologies like AI reshape the world? Sean Leahy,Andrew Maynard and special guest Punya Mishra cut through the hype to reveal the creative tension, hidden risks, and big-picture futures for AI-powered, human-centered education. How can the power of AI be harnessed without losing the soul of learning?

Friction Required: Re-imagining Learning in an AI World

Generative AI burst onto campuses promising personalized tutoring, instant lesson plans, and anytime feedback. Yet beneath the buzz lies a more provocative question: What, exactly, makes education worth the effort once answers are a prompt away? In this week’s Modem Futura, hosts Sean Leahy and Andrew Maynard sit down with educator-innovatorDr. Punya Mishra to look past the shiny tools and into the messy, human heart of learning.

🎧 Listen on Apple Podcasts: https://apple.co/3ZDH8vg

📺 Watch us on YouTube: https://www.youtube.com/@ModemFutura

Over an energetic hour they explore why purposeful “friction”—the struggle, inquiry, and face-to-face negotiation of meaning—is still essential. Punya and Sean draw on John Dewey’s four impulses—Inquiry, Communication, Construction, Expression—as a compass for designing AI-infused classrooms that amplify (rather than automate) these deep-learning moments. The trio swap stories of chatbots that spark creativity, debate whether banning tools curbs cheating or curiosity, and ask whether transparency beats top-down rules when it comes to academic integrity.

But the conversation zooms further out. What happens when large language models become persuasive co-teachers? Could Universal Basic Income turn learning into a lifelong pursuit instead of a credentialing race? And might universities act as society’s “flywheel”—a deliberate drag that buys time to think before technology rewrites the rules? The answers aren’t neat, yet they underscore a shared conviction: the future of education must be AI-powered and human-centered.

Key Takeaways

  • Friction is a feature, not a bug. Struggle fosters agency, resilience, and creativity—qualities that instant answers risk eroding.

  • Design for Dewey’s impulses. Use AI to scaffold inquiry, amplify student expression, and make thinking visible, not to short-circuit it.

  • Radical transparency > blanket bans. Open dialog about capabilities, limitations, and ethics beats whack-a-mole policies.

  • Cheating vs. caring. Focus on cultivating authentic motivation; surveillance tech alone can’t fix a trust gap.

  • Universities as sandboxes and speed-bumps. Higher ed can prototype responsible uses and slow premature adoption that harms society.

Whether you’re an instructor drafting next semester’s syllabus, a student exploring new creative tools, or a policymaker worried about the automation of learning, this episode offers frameworks—and questions—to keep humans at the center of the AI revolution.

🎧 Ready for the full conversation? Click below to listen or watch, then let us know how you’re embracing (or resisting) AI in your own learning spaces. And if the discussion sparks ideas, consider sharing this newsletter with a colleague—friction loves company!

If you’d like to dive deeper, jump into the link and listen to the podcast or watch the YouTube video. Join us as we explore the forces shaping our collective future and the urgent need to keep human values at the heart of innovation.

Subscribe and Connect!

Subscribe to Modem Futura on a favorite podcast platform, follow on LinkedIn, and join the conversation by sharing thoughts and questions. The medium may still be the massage, but everyone has a chance to shape how it kneads modern culture—and to decide what kind of global village we ultimately build.

🎧 Podcast: https://apple.co/3ZDH8vg

📺 YouTube: https://www.youtube.com/@ModemFutura