Reach Every Student with Jon Bergmann

Jon

Stop the stupefaction and reclaim your students' cognition in the age of AI. Reach Every Student with Jon Bergmann is the ultimate guide to edtech for teachers and navigating the frontier of digital education AI. Whether you are looking for practical educational AI solutions, evaluating the latest educational AI apps, or wrestling with the future of education vs. AI, veteran educator Jon Bergmann delivers the real-world strategies you need. Discover how to leverage an AI engine while anchoring your classroom in analog roots to ensure true mastery learning. www.reacheverystudent.com

  1. 7h ago

    Why "Being Flawed" Is Now a Job Skill in the AI Era

    This week’s guest goes back a long way — Don Wettrick, entrepreneur, educator, and founder of STARTedUP, an organization built around one question: how do you make class time feel more like the real world? Don just stepped back from running STARTedUP day-to-day to go back to what he calls “founder mode” — more classrooms, fewer meetings. We talk about that transition, his “seekers vs. peakers” framework for spotting opportunity, and a line partway through this conversation that’s stuck with me since we recorded it: everybody can write a perfect email now, which means the deals are being lost the moment a person can’t look up and actually have a conversation. Being human is sought after right now. Being flawed is sought after right now. This episode’s a little different from the last few: no framework, no big reveal, just a good conversation between two people who’ve been doing this a long time. Key moments: * 0:00 – Cold open: why “being flawed” is suddenly valuable * 0:44 – Interview begins, catching up with Don * 2:12 – Why he stepped back from CEO to “founder mode” * 9:50 – His “seekers vs. peakers” framework * 19:34 – Building a class around freedom, mastery, and purpose * 23:24 – Playing AI platforms against each other to think more clearly * 30:09 – The full story behind the cold-open clip * 38:19 – A decades-long journaling habit, and archiving your own growth This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.reacheverystudent.com

    Why "Being Flawed" Is Now a Job Skill in the AI Era
  2. Sep 28

    My Students Stopped Saying 'I Didn't Prepare'

    Two rounds into summative oral assessments now, and something’s changed: fewer of my students are telling me “I didn’t prepare.” A few weeks ago, that was the most common answer. This week, it’s becoming the exception. This one’s a solo update — no guest, just what’s actually happening in my classroom, plus a piece of news I’m genuinely excited about. On the vivas side: students are showing up rehearsed, some of them using an AI practice tool to run through questions ahead of time. And a pro-tip. Asking a kid to diagram something live, on the spot, tells me more about what they actually understand than almost anything else I do. And on the other side of the equator: ten years ago, I helped run one of the first large-scale flipped-classroom pilots in Misiones, Argentina. That relationship never really ended — and this month, the first unit of a fully Spanish-language, Argentina-contextualized Mastery Flip course went live. If you’re Spanish-speaking, or know someone who is, I’d love for you to check it out. Jon’s Upcoming Appearances October 15th - Online in Argentina November 14th (In Person) - Teaching Motivated Minds Conference (Austin, Texas) Key Moments * 0:00 – Cold open: “They showed up prepared” * 0:32 – Round 2 vivas: how students are using FlintK12 to practice ahead of time * 2:20 – The real shift: “I didn’t prepare” is becoming the exception, not the norm * 2:31 – The whiteboard trick that’s changing how physics vivas go * 5:41 – Pivot: the Misiones, Argentina backstory * 6:56 – The first Spanish-language Mastery Flip course goes live * 11:08 – Closing thought: pressure-testing the framework in real time, in public This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.reacheverystudent.com

    My Students Stopped Saying 'I Didn't Prepare'
  3. Sep 21

    Tony Wagner's Eighth Survival Skill for the AI Era | Ep 92

    Tony Wagner has spent thirty years studying one question: what do students actually need to thrive? In this episode, he shares a number that stopped me cold — of 109 ninth graders in a typical public school, only 14 ever end up in a job that pays a living wage. I asked him what he’d add to his own famous list of skills, just for the AI era. His answer: integrity. Partway through this conversation, I walked him through Mastery Vivas for the first time — no advance warning, no pitch, just explaining what I’m doing in my own classroom. His reaction is on tape, and it’s one of my favorite moments this season. P.S. — something I'm genuinely excited about: MasteryFlip is now being translated into Spanish, not just word-for-word but re-contextualized for schools in Misiones, Argentina — the first unit is live already. I'll give you the full story and the sign-up link next week, but I didn't want to sit on the news that long. Here is the link to the course: Key Moments * 0:00 – Cold open: his answer to the eighth survival skill * 1:05 – Guest intro and interview begins * 2:49 – Updating his famous “seven survival skills” for the AI era * 4:15 – The “forklift in the weight room” metaphor and his fear of a coming bifurcation * 6:56 – The stat that’ll stop you cold: 109 ninth graders, 14 living-wage jobs * 11:41 – You walk him through the Mastery Viva live — his reaction is real-time, unscripted * 36:10 – His one book recommendation for teachers heading into fall * 37:22 – The kindred-spirits close * 38:13 – A quick note on the new Spanish-language MasteryFlip course (more next week) This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.reacheverystudent.com

    Tony Wagner's Eighth Survival Skill for the AI Era | Ep 92
  4. Sep 14

    A Harvard Researcher Landed on the Same Answer I Did | Ep 91

    Last week, I told you about the one part of oral assessment I still won’t hand off to AI. This week, from a completely different direction, someone else landed on almost the same instinct — without knowing anything about what I’ve been building. I asked her one question: what’s the single science-of-learning principle every teacher should hold onto in the age of AI? Her answer: be as metacognitive about the AI as you are about your own thinking. Simple to say. Genuinely hard to picture in an actual classroom — which is most of what this conversation is about. That guest is Dr. Tina Grotzer, who runs the Next Level Lab at Harvard’s Graduate School of Education, studying causal reasoning — how people actually trace cause and effect, versus the neat, linear version we usually assume. That’s three separate people now — me, an MIT researcher, and a Harvard researcher — landing in the same place, independently. I don’t think that’s a coincidence anymore. Key Moments * 1:33 – What “causal reasoning” actually means (her research, in plain terms) * 5:10 – The sinking-and-floating experiment that breaks kids’ assumptions * 10:40 – Introducing the Next Level Lab: will AI make us smarter or stupider? * 17:13 – Her core thesis: why metacognition is what makes AI a partner instead of a crutch * 19:32 – The Russell Hulse story — a Nobel Prize won by refusing to ignore an anomaly * 21:11 – The “forklift to the weight room” metaphor, and her fear of AI as a crutch * 27:06 – You lay out AI Engines, Analog Roots, and the Mastery Viva live — and she reacts in real time * 34:11 – The one cognitive skill she says AI will be the last to replicate: empathy * 40:00 – Her closing fear: a coming “bifurcation” between kids taught to think and kids who aren’t This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.reacheverystudent.com

    A Harvard Researcher Landed on the Same Answer I Did | Ep 91
  5. Sep 8

    18 Kids Took Me 55 Minutes. I Know Some of You Have 30. #90

    Intro: If you’ve been listening for a while, you know oral assessment has been building toward this. This week, I made it official — a required, graded piece of every major exam for the first time. It went well in one class. It was genuinely hard in another. And there’s a piece of it I’m not willing to hand over to AI, no matter how tempting the time savings are. This one’s a solo update — no guest, just me and what actually happened in my own classroom this week, including the honest math on whether any of this works if your class is twice the size of mine. Timestamps: * 0:00 – Cold open * 0:17 – Welcome / what this episode covers * 1:16 – How it went in Geology/Meteorology/Oceanography (GMO) * 2:02 – Gut instinct over a formal rubric * 2:53 – GMO wrap-up: “it worked swimmingly” * 3:09 – Honors Physics: 18 students, barely finishing in 55 minutes * 4:59 – The line I won’t cross: why AI can’t grade the summative assessment * 5:20 – The formative side: the daily lesson cycle and where it breaks down * 6:38 – The real bottleneck: not enough time to reach every student * 7:04 – The fix: using Flint K-12 for after-class oral check-ins * 8:07 – Tying back to Justin Reich: “nobody knows how to teach in the age of AI” * 9:33 – A colleague’s test scores jump after going analog * 10:13 – Close This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.reacheverystudent.com

  6. Aug 31

    An MIT Report Just Echoed What I've Been Building #89

    Last week I told you about MIT’s new report on teaching in the age of AI. This week, it echoed something I’ve been building for over a year. Justin Reich directs MIT’s Teaching Systems Lab, and I’ve known him since long before “AI in education” was a track at every conference. What struck me most, recording this earlier this year: he arrived, completely independently, at almost the exact same three ideas I built into MasteryFlip. The moment that’ll stick with you — two computer science professors in Buenos Aires who moved their final exam to a 20-minute oral defense. What happened to their students’ work in the post-ChatGPT era, and why a live, unscripted conversation turned out to be the fix, tells you most of what you need to know about where this is all headed. This one runs long, about 50 minutes, but it’s one of the richest conversations I’ve had on this show. Grab a coffee. Key Moments * 0:00 – Cold open: Reich on why we should be listening to teachers, not pundits * 0:21 – The MIT report, and why it’s a bigger deal than it looks * 1:48 – Introducing Justin Reich * 3:45 – The “Homework Machine” research project — what 120 teachers and students said * 6:11 – Jon’s own AI failure story, and the worst reviews of his career * 12:51 – Laying out the MasteryFlip framework, live * 13:16 – Pillar 1: AI Engines * 19:37 – Pillar 2: Analog Roots * 21:49 – Pillar 3: The Mastery Viva * 23:09 – The trebuchet story * 24:22 – The Buenos Aires oral-exam story * 33:25 – The DeepMind story — nobody’s figured out how to train junior engineers with AI either * 42:46 – “Get a license” — Reich’s grandfather’s advice * 43:12 – The fear of a coming “great bifurcation” * 43:32 – The forklift-to-the-weight-room metaphor * 52:24 – Jon’s call for real-teacher podcast guests This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.reacheverystudent.com

    An MIT Report Just Echoed What I've Been Building #89
  7. Season 4, Episode 88 Trailer

    Selfie Videos, Friday Emails, and a Level-4 Trick for My Mastery Vivas #88

    This week: two habits I’ve never fully explained on the show, a real fix for a problem I named last week, and a study that’s been stuck in my head since Thursday morning. The selfie video. Early in the year, every student records a 2–3 minute video answering a few prompts: tell me about yourself, your hobbies, how you learn best, anything going on at home I should know. I watch every single one and build a grid document — name, photo, a few notes per kid. Then I send a personal welcome email that references something specific from their video (”you play harmonica? So do I”). That one small detail does more for the relationship than almost anything else I do all year — and later, when I’m walking the room during Vivas, that same grid becomes my cheat sheet. The Friday parent video. Every Friday morning, three two-minute videos — one per class — recapping what we studied that week. I upload them to a shared Google Drive folder, no YouTube needed, and BCC the whole parent list. Total time: about fifteen minutes for three classes. The payoff is disproportionate — parents stop me at football games to say thank you, and when a student is struggling, that relationship is already banked before I ever have to make the harder call. The Mastery Viva fix. I’ve been jumping straight to the level-4 question instead of guessing which level to ask first. If a student nails it, that’s a 4. If they need help getting there, that’s a 3. Separately — and this is a different thing entirely from the student-facing AI tool that’s still waiting on school approval — I used Claude to draft a bank of Viva questions from my own curriculum. It worked well after editing: about 6 of every 10 questions it generated were genuinely good, which meant previewing and cutting the rest myself. Analog isn’t really about paper. The more I read, the less this looks like a paper-versus-screens argument and the more it looks like an attention argument. Devices pull focus through notifications and the pull to multitask, not through some inherent flaw in digital ink. I still do plenty of my own work on an iPad. The real fix is removing the ping, not the pixel. A new study I can’t stop thinking about. Not yet peer-reviewed, but making real waves: 26,000 students in China, grades 7–12. Open AI access raised homework scores and cut homework time — and then tanked exam scores. The damage wasn’t spread evenly, though — it concentrated in students using AI as an easy button, while students who still put in the work alongside AI use barely lost ground at all. I dug into this further after recording and wrote it up properly here: [link to Substack piece]. One more thing. I want you on this podcast — not another expert, a real teacher with real kids in your room. Link to the guest form is below. 0:00 Why I make every student record a “selfie video”0:16 The exact prompts I give students1:03 Why relationships matter as much as content1:30 The personal welcome email trick2:07 Using my student grid as a cheat sheet during Vivas2:54 The 2-minute Friday parent video4:37 How I set it up on Google Drive in 15 minutes5:27 Fixing my Mastery Viva timing — jumping straight to level 46:03 Still waiting on our AI tool’s approval6:42 I had Claude draft my Viva questions — here’s how it went7:12 Why our schedule keeps eating into class time7:34 Analog isn’t about paper vs. screens — it’s about attention8:58 A new 26,000-student AI study I can’t stop thinking about11:00 I want YOU on this podcast This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.reacheverystudent.com

  8. Aug 17

    Week One Report Card: What MasteryFlip Got Right (and Wrong) in My Actual Classroom #87

    I just wrapped Week 1 of actually running the MasteryFlip framework in my own classroom — and this episode is the honest report: what worked, what didn’t, and what I’m still figuring out. On the win side: Analog Roots delivered immediately. Laptops, phones, even smartwatches went into backpacks, and I watched my students default back to real conversation and paper research the moment their devices were out of reach — a shift that honestly took me back to my very first year teaching in 1986. The Mastery Viva also produced a standout teaching moment: walking the room, asking students about the atmosphere, revealed a real, widespread misconception (several students didn’t actually grasp what “atmosphere” meant, despite watching the video) — exactly the kind of gap a written assignment would never have surfaced. On the honest friction side: a shortened 65-minute physics period (down from our usual 80, thanks to schoolwide safety meetings) meant I ran out of time to Viva every student who finished — a problem I’m still solving. Separately, EdPuzzle’s video-tracking caught three students who hadn’t done the pre-work; one was a new student who didn’t have his laptop yet, two had simply skipped it, and my in-class fix (headphones, a designated corner) worked for one but not the other. I also share my early vision for using an AI tool to help scale Vivas for students I can’t personally reach in time — and I close with an invitation: I’m adding guest interviews this season, including upcoming conversations with voices from Harvard and MIT (including Dr. Justin Reich), and I’d love to hear from you too if you want to be a guest. Key Timestamps * 00:00 – Intro: wrapping Week 1 of MasteryFlip * 00:24 – Analog Roots in action: notebooks, phones away, “minds on” * 01:16 – A colleague’s parallel observation: kids talk to each other instead of grabbing devices * 03:16 – The atmosphere/geosphere misconception — the Viva catches something a worksheet never would * 04:51 – Coaching students to “ask a better question” * 05:41 – What didn’t work #1: no time for physics Vivas * 06:11 – Root cause: schoolwide safety meetings shortened the period to 65 minutes * 06:46 – What didn’t work #2: EdPuzzle catches students who skipped the pre-work video * 08:49 – Notebook quality: setting expectations without penalizing (yet) * 09:29 – The vision: piloting an AI tool to help reach every student * 10:20 – ⚠️ What Vivas reveal about which students need support * 10:51 – The clipboard system (and covering names for privacy) * 11:14 – The “binder vs. notebook” Texas vernacular moment * 11:50 – Guest invitation + upcoming Harvard/MIT interviews (Dr. Justin Reich teaser) * 13:44 – Closing thoughts: humility, Cognitive Load Theory, and “we’re in a new era” This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.reacheverystudent.com

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About

Stop the stupefaction and reclaim your students' cognition in the age of AI. Reach Every Student with Jon Bergmann is the ultimate guide to edtech for teachers and navigating the frontier of digital education AI. Whether you are looking for practical educational AI solutions, evaluating the latest educational AI apps, or wrestling with the future of education vs. AI, veteran educator Jon Bergmann delivers the real-world strategies you need. Discover how to leverage an AI engine while anchoring your classroom in analog roots to ensure true mastery learning. www.reacheverystudent.com