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What Teachers Have to Say

What Teachers Have to Say

著者： Jacob Carr and Nathan Collins
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What Teachers Have to Say is a podcast about teaching, AI in education, instructional practice, and teacher identity. Hosted by Jacob Carr and Nathan Collins, it centers real classroom experience, system pressures, and how AI is reshaping learning.


No performative edu‑influencer culture. No toxic positivity. Just honest conversations about what’s actually happening in schools.


What This Podcast Covers


  • AI in education and classroom use
  • Teaching strategies and instructional design (EduProtocols)
  • Teacher burnout and system design
  • Student skill development and transfer
  • EdTech tools and practical workflows


Who This Podcast Is For


  • K–12 teachers
  • Instructional coaches and leaders
  • Pre‑service teachers
  • Educators exploring AI and EdTech
  • Anyone tired of surface‑level PD


Who We Are


Jacob (Jake) Carr

EdTech Coach for a County Office of Education, author, and speaker on AI in education. 15+ years across K–12 (grades 1–12) in diverse settings. Brings a philosophical lens, connects classroom practice to systems, and pushes conversations deeper before landing on something usable.


Nathan Collins

High school English teacher, dual‑enrollment instructor, and Personalized Learning Teacher in a rural hybrid model. Grounds the show in current classroom reality, student data, and practical constraints. A measured counterbalance to big ideas.


What We Explore


AI in Education — A structural shift, not a novelty. Learning, assessment, and independence in an AI‑rich world.

Burnout as a System Problem — Not a personal failure. We name the incentives that reward unsustainable work.

Instructional Routines That Work — Repeatable structures that lower planning load and raise thinking, repetition, and collaboration.

Skills That Transfer — Thinking, communication, adaptability. Not just content.


The Format


Long‑Form — Monthly flagship episodes with deep dives, interviews, and debates.

Short‑Form — Field notes, solo reflections, headlines, and listener voicemails between major episodes.


Your Voice Matters

Leave a SpeakPipe voicemail with a question, win, or rant. We feature listener voices in episodes.


Beyond the Podcast

The companion newsletter goes deeper: AI in education, teaching strategies, and teacher identity. Free, weekly, and practical.


FAQ


What is it about? Teaching, AI in education, and real classroom conditions.

Who hosts it? Jacob Carr and Nathan Collins.

Is it AI‑focused? Yes, always tied to real practice.

How often? Monthly flagship + shorter episodes between.

Where to listen? Apple Podcasts, Spotify, and all major platforms.


Subscribe and Follow

  • Apple Podcasts
  • Spotify
  • Newsletter


Stay curious. Keep thinking. Keep showing up.

© 2026 What Teachers Have to Say 哲学 社会科学
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  • There Are Two Bees in Your Brain. AI Only Has One.

    There Are Two Bees in Your Brain. AI Only Has One.
    2026/06/15
    Send us Fan MailA student turned in a short story this spring that neither of us has stopped thinking about. A man installs an AI system in his home. It does everything for him. Slowly there is nothing left to want, and no one left to talk to. He wrote it as a warning. He is 17.This started as a workflow episode. Nathan built a college-level writing assignment around Isabelle Hau's "Welcome to the Era of Relational Intelligence" and the full nine-hour Stanford AI+Education Summit, using NotebookLM as the engine and Claude to clean the transcript. We walk through the entire build, step by step, so you can run it in your own room.Then it became a much larger argument about AI literacy and what school is actually for. We get into cognitive offloading, cognitive outsourcing, and cognitive surrender. We get into active procrastination as a teaching strategy, and why the most creative students are the ones who let an assignment sit. And we get into the dopamine reward system underneath every large language model, the same circuit that drives a honeybee to forage. That is where the bees come in.One student summed up the whole problem in a single line. AI has a job to do. It cannot not do one. That is the difference between a tool and a relationship, and it may be the most important thing teachers need to understand right now.Timestamps00:00 Cold open: the ADHD bee waggle hole01:35 Why this is a workflow episode, and why Claude is good at cleaning transcript data02:59 The dataset: the entire Stanford AI+Education Summit, all nine hours07:34 Bringing the Stanford experience into a high school classroom09:22 Isabelle Hau and "Welcome to the Era of Relational Intelligence"12:30 AI and mental health, sycophancy, and what the technology exposes16:09 The full writing prompt: depict the future, use evidence, propose a turning point17:27 The build: assembling the notebook and cleaning the transcript with Claude23:09 A student essay, read in full: the man, the box, and the absence of absence31:23 The student's breakdown, and Hau on why relational intelligence is indispensable34:09 The factory model and the danger of siloing the individual35:00 Sapiens, storytelling, and what set modern humans apart43:00 Three tiers: cognitive offloading, cognitive outsourcing, and cognitive surrender44:41 The clearest student line of the year: "AI has a job to do"46:30 AI literacy as the real work, and the EduProtocols AI Literacy edition48:33 One screen per table: a setup that beats one-to-one49:46 Active procrastination as a deliberate teaching strategy51:16 Adam Grant on why moderate procrastinators are the most creative52:27 "Where is the work happening?" Nathan does his own assignment, timestamped59:27 The assignment walked through, step by step01:00:19 The custom NotebookLM prompt, read aloud01:11:15 What students built, and the pivot point most of them landed on01:19:39 The ADHD bees, Huberman Lab, and Dr. Read Montague01:21:30 The dopamine reward system as the algorithm under every LLM01:28:31 The first AI-native job, and the gap between the haves and have-nots01:34:28 Language shapes culture, and AI is shaping language01:35:21 Adam Aleksic and Algospeak01:39:12 The Gmail auto-reply story, and engineering a population's language01:43:44 The inner voice, and what happens when an outside source writes it01:46:24 Closing on hope, and why this generation gets the last wordIdeas Worth KeepingRelational intelligence is the counterweight to cognitive surrender. Hau's argument is not a rejection of AI. It is a claim that human connection is the infrastructure everything else depends on, and that infrastructure is now under pressure precisely because AI responds with so little friction. Relational intelligence is under threat and newly indispensable at the same time.Offloading, outsourcing, surrender. These terms are not codified, so we use them as a working spectrum. Offloading is adaptive and ordinary: a daily briefing pulled from your calendar and email. Outsourcing is genuine collaboration with the machine, and almost nobody has figured out how to do it well yet. Surrender is what the student in this episode dramatized, where a person outsources the need for other people, not just the task in front of them.Active procrastination is incubation, not avoidance. Open the assignment, do enough to understand what it asks, then let it sit. The thinking continues while you do other things. The best student writing in this unit came from the students who let it cook. Most strong ideas are not the first one you have.The dopamine reward system is the algorithm. This is the connective tissue of the whole episode. The same circuit that drives a honeybee to forage, and drives some bees to wander off the bee line entirely, is the architecture underneath every large language model. The reward lives in the search more than the finish. Understanding that explains both why AI is compelling and why it cannot replicate a human relationship.AI has a job ...
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    1 時間 37 分
  • Make America AI Ready: The Stove Isn't Going to Blow Up

    Make America AI Ready: The Stove Isn't Going to Blow Up
    2026/03/31

    Send us Fan Mail

    The federal government recently launched an AI literacy program delivered entirely by text message. Jake has completed the first five days, and also looked into a network of teachers, HR professionals, and writers and to ask what they thought. The results were predictable in one direction and surprising in another. This episode is less about the program and more about what it exposes: who gets to define AI literacy, what it's for, and what the cost of doing nothing actually looks like.

    What You'll Hear

    • Why Jake's reaction to a federally branded program shifted once he actually went through it — and what changed his mind
    • The DOL's AI Literacy Framework broken down: five foundations, seven principles, and why the pedagogical thinking behind it is more serious than the branding suggests
    • Nathan's argument that 28% of students being able to describe how an LLM works is a real problem — and why understanding the engine matters even if you never plan to drive
    • The "professional chef critiquing a how-to-boil-an-egg pamphlet" problem, and who the pamphlet is actually for
    • Jake's prediction that the 2026-27 school year is when schools start approaching AI literacy systemically — and what that should and shouldn't mean
    • Why excluding AI from your classroom is becoming harder to defend as a pedagogical choice rather than a protective one
    • The adult literacy statistic that reframes what's actually at stake when we talk about the AI access gap

    Resources Mentioned

    • Make America AI Ready — Federal SMS-based AI literacy program from the U.S. Department of Labor. Text READY to 20202 to enroll. [beta.dol.gov/ai-ready]
    • U.S. Department of Labor AI Literacy Framework — Five foundational content areas and seven implementation principles for workforce AI readiness. [https://www.dol.gov/agencies/eta/advisories/ten-07-25]
    • Slow AI (Sam Ellingsworth) — Substack publication examining AI adoption at a more measured pace. Recommended reading for the "email problem" analogy. [https://theslowai.substack.com/?utm_campaign=profile_chips]
    • Quick, Draw! — Google experiment using a neural network to guess your drawings. Referenced as a Day 1 challenge in the Make America AI Ready program. [quickdraw.withgoogle.com/]
    • What Uses More? — Tool for comparing energy and carbon footprint of AI tasks vs. everyday activities. [what-uses-more.com]
    • Stanford HAI — Stanford's Human-Centered AI institute. Referenced for statistics on AI usage by age and the research on AI in classroom settings. [hai.stanford.edu]
    • NCES Adult Literacy Data — National Center for Education Statistics. Nathan cites current figures: 28% low literacy, 29% basic proficiency, 43% proficient — among adults ages 16-65. [nces.ed.gov]

    Connect & Continue

    Jake writes about AI in education weekly on Substack. Subscribe at whatteachershavetosay.substack.com

    Stay curious, stay hopeful, keep learning.

    Got a question? We'd love to answer it! Leave us a voicemail on SpeakPipe: https://www.speakpipe.com/whatteachershavetosay

    Want more EduProtocols from Jake? Check out his book at Amazon, Barnes and Noble, and more.
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    1 時間 30 分
  • Scaffolds Were Always Meant to Come Down

    Scaffolds Were Always Meant to Come Down
    2026/03/04

    Send us Fan Mail

    Jake and Nathan just got back from their third Stanford AI + Education Summit — The AI Inflection Point: What, How, and Why We Learn — and a week later, they still can't stop talking about it. In this episode they dig into the tension at the heart of AI in schools right now: how do you protect the human skill development that education exists to build, while letting AI do the things it's actually good at? They get into the AI Assessment Scale, why cheating is the wrong frame, what it means when kids turn to AI for emotional connection, and whether the "perfect tutor" is the answer anyone thinks it is. Honest, critical, and grounded in classroom reality.

    Referenced in this episode

    Stanford AI + Education Summit 2026 The fourth annual summit, held February 11, 2026. Full conference on the Stanford HAI YouTube channel.

    AI Assessment Scale (AIAS) Developed by Mike Perkins, Leon Furze, Jasper Roe, and Jason MacVaugh. Five levels of acceptable AI use — from no AI to full AI with the student as director and evaluator. First published 2023, updated Version 2 in 2024. Adopted by hundreds of institutions worldwide, translated into 30+ languages.

    • aiassessmentscale.com

    Matt Miller — AI for Educators Source of the 12 cheating scenarios Jake has been using to poll educators across the country. Miller also runs Ditch That Textbook.

    • ditchthattextbook.com

    Google AI Quests Free, code-free, game-based AI literacy tool for students ages 11–14. Students step into the role of Google researchers solving real-world problems in climate, health, and science. Co-developed by Google Research and the Stanford Accelerator for Learning. Complete lesson plans and teacher guides included.

    • research.google/ai-quests

    Ethan Mollick — Co-Intelligence: Living and Working with AI (Penguin, 2024) Source of the centaur/cyborg framing. The centaur divides labor strategically between human and AI; the cyborg integrates the two fluidly within the same task. Mollick's Substack One Useful Thing is one of the more practically useful ongoing resources for educators thinking about AI.

    • Co-Intelligence on Amazon

    Cheating research Jake references "Cheating in the Age of Generative AI: A High School Survey Study of Cheating Behaviors Before and After the Release of ChatGPT" — Computers and Education: Artificial Intelligence (2024). Note: Jake mis-attributes this to Stanford — the actual source is below. Key findings: overall cheating volume stayed stable after ChatGPT launched; students who self-reported higher AI competence cheated less; clear boundaries and consequences remained the strongest deterrent.

    • Full study

    A note on homo technologicus was attributed to Yuval Noah Harari. It circulates in academic commentary on Harari's work but doesn't appear to be a direct Harari coinage. The concept maps to themes in Homo Deus, but we can't confirm the specific term originated there. We're leaving it as spoken and flagging it here.

    Got a question? We'd love to answer it! Leave us a voicemail on SpeakPipe: https://www.speakpipe.com/whatteachershavetosay

    Want more EduProtocols from Jake? Check out his book at Amazon, Barnes and Noble, and more.
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    1 時間 32 分
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