Connected Classroom · Media
Conversations on Learning in the Age of AI
Podcast interviews exploring how AI shapes student cognition, why messy learning matters, and what schools can do to protect critical thinking, creativity, and developmental privacy.
The International Schools Podcast · Episode 183
When AI Starts Thinking for Us
Why AI in schools is a developmental question before it is a technology one: how an assessment model built to grade finished products pushes students toward the tool, why learning depends on friction, and what cognitive privacy means for children whose minds are still forming.
Host: The International Schools Podcast · theinternationalschoolspodcast.com
In This Episode
- A Developmental Issue, Not a Technology One: The same tool affects a built adult and a still-forming child in categorically different ways. An adult can lean on an architecture already in place; a child is building it in the same years the tool offers to do the thinking instead.
- The Incentive Problem: A century-old model that grades the finished product, meeting a tool that produces finished products on demand. A student who reaches for AI is less an outlier breaking the rules of school than a student following them, more efficiently than we did.
- Cognitive Privacy for Children: AI infers intent from how a child uses it, and those inferences are owned by the company, not the child. The case for ephemeral, memory-free tools when the user is still developing, and for making the decision to adopt any tool a visible one rather than an automatic click.
On AI as a Developmental Issue
"AI gives a child instant, frictionless feedback that a parent holding a hot pan or a teacher with twenty kids never can. This is where I've come to see it as a developmental issue, not a technology issue."
On School Incentives
"As long as the incentives stay the same, why wouldn't a kid use the more efficient path? School isn't saying we want you to be a great collaborator and critical thinker. It's saying we want you to do well on the test."
On Cognitive Privacy
"Your chat history might technically be yours, but the inferences the tool makes about you as a person are owned by the company."
On Why Children Are Ephemeral
"Children are ephemeral. A kid having a bad day on Tuesday is not who they are as a person, they're who they are in that moment. A tool shouldn't build a permanent memory out of that."
Digitally Curious · Season 8, Episode 2
When AI Does the Thinking, How Do Young People Learn to Be Critical Thinkers? The Urgent Warning for Those Under 25
What happens to a generation growing up with AI always on hand to do the thinking for them? A conversation with futurist Andrew Grill on cognitive offloading, the line between atrophy and foreclosure, and why the youngest learners carry a developmental risk that older users do not.
Host: Andrew Grill · actionablefuturist.com
In This Episode
- The Classroom as Laboratory: Tim has watched children's relationship with struggle shift for most of a decade, well before AI arrived. That practitioner vantage point is what separates the tool's effect from a longer trend already underway.
- Atrophy vs. Foreclosure: An adult who offloads a task to AI atrophies a capacity they already built, and it can be rebuilt. A child who offloads a task they have never learned forecloses a developmental pathway that may never form at all.
- The Audit Problem: To check AI's output you need domain expertise, but a child is still in the middle of building it. You cannot audit what you do not yet understand, and so substitution quietly becomes foreclosure.
BetterThinkers Podcast
Thinking with Timothy: Reclaiming Human-Centered Learning
Can we preserve what makes learning truly human in an age of AI shortcuts? A conversation on the AI Learning Paradox, embracing messy learning, and Connected Classroom tools that connect rather than isolate.
Host: Jamie House · betterthinkers.substack.com
In This Episode
- The AI Learning Paradox: When does AI enhance thinking versus replace it? Tim unpacks why the distinction between retrieval and synthesis is the critical line schools need to draw.
- Embracing Messy Learning: Why authentic learning must be uncomfortable, and how Peter Ellerton's Critical Thinking Matrix helps educators design for productive struggle.
- Connected Classroom in Practice: Tools and frameworks that use AI to connect learners to each other and to deeper thinking, not to shortcut the cognitive work that builds capacity.
Tokyo Alumni Podcast · Episode 90
Foreclosure, Atrophy, and Why Struggle Still Matters for Learning
A conversation on the distinction between cognitive foreclosure and cognitive atrophy, how AI can support thinking rather than replace it, and why classroom teachers may be best positioned to understand both the opportunities and the risks.
Host: Tokyo Alumni Podcast
In This Episode
- Foreclosure vs. Atrophy: Two distinct risks when AI enters the classroom. Foreclosure happens when AI delivers an answer so quickly that students stop exploring ideas. Atrophy happens when thinking skills weaken because the brain stops practicing them.
- Why Struggle Still Matters: Learning requires productive friction. AI can support learning, but only when it preserves the thinking that learning is meant to build, not when it replaces it.
- Teachers as the Critical Voice: In a field where many AI conversations happen far from real classrooms, teachers who experiment with these tools daily are the people best positioned to understand both the opportunities and the risks.
The EdTech Lens Podcast
AI and Assessment (Revisited): Writing, Jagged Edges, and AI-Proofing
Why writing still matters as a thinking process, what gets lost when AI flattens the "jagged edges" of human work, and how to redesign assessment around community, identity, and design.
Host: Alex McMillan · with Emily Thomas & Nick Soentgerath
In This Episode
- Writing as Thinking: The focus, word choice, revision, and self-argument that helps students clarify what they actually believe, and that AI can't authentically replicate.
- The "Jagged Edges" Problem: AI produces the same "academically average" response to predictable prompts, flattening the human, lived, imperfect uniqueness that makes student work meaningful.
- AI-Proofing Assessment: A practical case for redesigning tasks around community, identity, and design, with prompts where students must apply content in locally grounded ways, using AI as a tool rather than a replacement.
The Unlatched Mind Podcast
The Architecture of Capture: Why We Must Reintroduce 'Friction' to Learning
Cognitive Prompt Injection, the "GPS Effect" on human judgment, and why AI should be used for retrieval, not synthesis.
Host: Vinny Vallarine
In This Episode
- Intent vs. Architecture: Why we cannot rely on corporate benevolence. The current infrastructure of EdTech and social media is built for behavioral profiling, creating a single point of failure for human decision-making.
- The "GPS Effect": Just as relying on GPS degrades spatial awareness, relying on AI for synthesis degrades analytic capacity, along with the risks of a workforce that can no longer audit the machines they rely on.
- Cognitive Prompt Injection: How bad actors can exploit recommendation algorithms to manipulate population-level thinking, not by changing what we know, but by changing how we process it.
On Intent vs. Architecture
"It allows for some really positive use cases and it allows for some really dystopian ones. It all depends on intent. But the architecture exists for capture to happen. Whether it does or not, we don't know, but the writing is on the wall."
On Retrieval vs. Synthesis
"If I go to a library, I am retrieving information, but I am still the one doing the synthesis. Large Language Models do that for you. You lose the act of synthesizing that information in your own brain. If everyone does that, we are all thinking the same way."
On "Friction" as a Value
"The struggle is what led to innovation and the improvement of humanity over time. If there is no friction, where is the innovation? If we offload the struggle, we lose the capacity to question."
On Cognitive Prompt Injection
"If you know how the algorithm engages… you can influence or manipulate the direction people start thinking so that they start believing their opinions are their own. The algorithm becomes the distribution mechanism for influence operations."