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Two decades of working on school improvement — at High Tech High, at Chicago Public Schools, at the Gates Foundation, and now through her own consulting practice — have left Jennifer Husbands with a fairly direct view of why AI adoption in schools is going the way it's going. The technology isn't the problem. The problem is that the US invests less in teacher learning time than almost any peer system, and you cannot ask people to change their behavior in a setting that gives them no room to learn.
In this conversation she lays out what she's hearing from funders right now (humility, anxiety, and a quiet retrenchment from K-12 that she thinks is happening at the worst possible moment), why she believes the district is the only unit of change that actually scales, what role coaching and teacher-to-teacher networks have to play, and why she keeps coming back to the idea that AI is a tool, not a solution. Alex also opens the episode by walking her through a live vibe coding demo — a useful prelude to the broader conversation about how fast the underlying technology is now moving.
aiEDU: The AI Education Project
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People with education are they don't have the move fast and break things mentality.
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No.
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Which I think is good.
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We're working with children.
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Yeah.
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We don't want to break children.
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All right.
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If I had to choose between the space moving too fast or too slow, I would choose too slow.
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We don't really want to experiment on kids entirely.
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Welcome to another virtual edition of AI ED Studios.
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I'm in the virtual studio, well, in my bedroom, but we are live virtually with Jen Husbands.
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Jen, I'm going to give you a chance to actually share your a little bit about your story because you've done so much and you're very much very in demand right now amongst folks in this space to just like who just want access to your smarts and also just like all the different experiences that you have sort of like brought you to where you are today is like, you know, I'd say one of these sort of preeminent, you know, advisors to philanthropy and to education leaders.
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But this is very much like an interactive conversation.
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We're going to be, you know, I think kind of brainstorming together because I think you and I both bring a very complementary but different both perspectives and expertise that we need to find a way to sort of marry if we're going to solve this whole big question about AI and future of education.
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Um but before we even dive into all that, I actually just want to show you some stuff.
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So we make we may cut this portion.
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Um but have you so so have have you played around with vibe coding much?
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Have you heard of vibe coding?
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I've heard of it very vaguely, but I have not engaged with it.
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And I'm curious, like, is it coming up in conversations that you're having with folks like when you're in rooms talking about the future of AI and education, or are people talking about vibe coding?
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Is it you know I think Yusuf brought it up with me at the EFSG meeting.
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I think I think it was not in the larger conversation with everybody.
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I think it was just the two of us.
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And I think he mentioned it.
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It was him or it was you.
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Somebody said they're gonna be talking about it at South by Southwest.
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Is it you?
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Oh, that's me.
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Okay, okay.
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But he mentioned it too in that conference room, in that like weird auditorium room.
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He mentioned it.
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That was the first time I'd ever heard of it.
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It was either him or Babak.
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Now I can't even remember, but it came up in that room and then it came up again with you.
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Um so vibe coding is gonna show you.
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Take a feeling and turn it into code.
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Um take a feeling and turn it into code.
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Literally that.
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That is vibe coding.
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Um the name would suggest.
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It is exactly what the name would suggest.
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Um so before I actually show you vibe coding, it's worth a um a quick primer.
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So yes, essentially it's using natural language, you know, English in our case, and um having the AI basically take what you're describing uh in natural language and generate, you know, anything you could generate with code.
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Um so that could be software, that could be um, you know, websites.
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And this was sort of like a it was it was quietly something that was happening almost in parallel with, you know, we had Chat GPT that came out um in you know at the end of 2022, and then we had um GPT-4 that came out in March.
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Um and so you know, the education sector was kind of like scrambling over, oh, like what do we do with all these chatbots?
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And um, you know, how do we build things on top of that like leverage these like chatbots or integrate them into different tools?
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And meanwhile, you know, folks in in the tech sector are really what they were focused on was, you know, this thing is really good at writing code.
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And they were using it to, you know, make engineers more productive.
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Initially it was almost like more like autocomplete, if you can imagine that.
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So you're like typing some code in and it sort of like will suggest sort of like, you know, you just tab to enter and it sort of like helps you write the code like that.
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Um and and then the capabilities of vibe coding have uh continued to move forward.
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And then as and then basically what happened is you had GPT 3.5 to GPT 4.
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And it was, I mean, do you remember do you remember, did you use 3.5, like the 3.5?
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I've not been a user of uh GPT really at all.
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I use I use Gemini sometimes for work.
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So the extent of my experience?
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Yeah, I mean, if you if you use GPT 3.5, what you would have it was like very cool, but it was it was like it was like a high school student level, right?
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So it can like write poems and it could write essays, and it was it was cool mostly because it's just like the first time you could see just like AI almost like engaging with you as like a another sort of sort of independent agent.
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Um, and and it did generate stuff.
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Uh and then we had GPT 4, and that was like crazy powerful compared to GPT 3.5.
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Um, you know, it was like now suddenly you're talking to a you know college professor, uh, or at least like a you know, a like a master's student.
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Um and I think that's where everybody started to realize like, whoa, this is a really big deal.
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Um, and part of that was baked in this idea that, well, the the technologies, if it it in in a matter of three months, we went from GPT 3.5 to GPT-4, a significantly more powerful model, you know, who knows where we're gonna be in six months, one year, two years.
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And so there was this like anxiety, this like urgency around we need to just get people access to AI because it's just gonna get so powerful and we don't be left behind.
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And so there the paradigm, I think, has been really about, you know, how do we just like implement tools and give, you know, get get kids' hands-on, you know, teachers' hands on.
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Um, but then after GPT-4, we had GPT 4.5 and GPT-5, and then many other models, you know, like Gemini.
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It was like BARD initially, then Gemini 2 and Gemini 2.5, um and Gemini 3.
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And and for the for the non-technical user, they did get better, but it started to get better at the margins, you know, like incrementally better.
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Um, certainly still had all the same problems that GPT 3.5 or GPT-4 had in terms of, you know, it wasn't reliable, it got hallucinated and like made stuff up.
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Um, and there was a sense of like almost like stagnation in terms of like, yeah, maybe this is just sort of like roughly what we have.
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Um, but in the background, the coding capabilities of AI kept getting better.
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Um, and like in and in particular uh last year, uh Anthropic released something called Claude uh 3.7 Sonnet.
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And this was an incredibly powerful tool for coding.
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And it it really is what kind of like unlocked the um almost like the Cambrian moment where we're now half of all of the spend on AI right now is just for for for like coding purposes.
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Um and and then in the summer of 2025, a bunch of companies, including a Google, which this is what I'm showing you, is Google's AI Studio.
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Um, they updated the user interface to be a lot more user-friendly because before you could vibe code, but it was you were still sort of like in an you know, a coding terminal and you would see lines of code, and it was just it was overwhelming to somebody who had never done anything with code before.
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Um so they changed the user interface, and now you get um it's just very, it's very very user-friendly.
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So I'm actually gonna walk you through um I'm gonna walk you through the process of designing something.
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Um and we're gonna do a little design thinking together.
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And and I just want you to sort of think about, you know, something that um just like a problem that you have day to day, this doesn't have to be even work-related.
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Like just to give you an example, someone was telling me they just um they just separated and they have two kids that they take care of um every other week, which makes it really hard to figure out what food to put in the refrigerator because you're like buying all this food for your kids and then like it kind of goes bad.
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And um, so he always have he always has like has to figure out like what could I make with what I have in the fridge.
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Um and so one thing that we built together was like a um like a recipe generator that would be like sort of help him sort of like plot out, you know, like what to buy and like you know how to sort of like you know organize it.
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Um but yeah, any anything that we could just like just right out of the gate, kind of like try to try to hack on together.
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I mean, I hate packing.
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Okay.
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I hate packing, and I have to pack often, as you know, because I travel, both for work and for pleasure.
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So like there's gotta be a way to make it less painful.
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I don't know.
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Okay.
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It's kind of a boring, boring challenge.
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Oh, that's a great one.
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A real one for me.
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So Yeah, people can send me a list, but I just well, the where the trip, where am I going?
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Is it a business trip?
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Is it a personal trip?
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Is it you know, what's the climate like?
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What's the weather forecast?
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I'm always on, like, you know, snap doing like a screenshot of weather channel to say, like, all right, four days in DC looks like this, or you know, three days in LA or five days in Mexico, you know.
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Yeah.
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Um so I'm actually gonna use just like a just a regular LLM, this is Gemini, um, to help us come up with the idea first, because that's always like, you know, I think it helps actually do some ideation.
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Um what what are some of like the what makes packing hard?
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Like why do you hate packing so much?
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I think it's I think it's kind of an executive function problem because I think it sort of like requires me to think ahead and plan ahead for multiple days.
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Um and that feels exhausting.
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So I procrastinated to the last minute.
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And then I'm stressed.
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All right, let's um and so one of the things you're seeing me do here is you see this drop down.
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I don't know if you've used you, you said you use Gemini.
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Yeah.
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Um so a lot of people have like, you know, when they're tempted to like, yeah, you know, I've used Gemini and it's just it's okay.
00:10:05.919 --> 00:10:07.600
I don't, I don't think it's that great.
00:10:07.759 --> 00:10:12.639
Um, and I said, well, like it's like pull up your computer, let me see, show me some of your your prompts.
00:10:12.799 --> 00:10:17.519
And I looked at all their prompts, and all their prompts had just this, this drop down they were doing fast.
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So fast is the the weakest model for Gemini, also the fastest and the most cost effective.
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That's the title.
00:10:25.600 --> 00:10:31.039
Um but if you want to really see the the magic, um, you want to click on pro.
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Yeah, I only use a M Pro.
00:10:33.279 --> 00:10:38.480
Um oh so you're like let's you're already, you know, because it's tied to my work, it's tied to my suite.
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It's tied to my suite.
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Uh uh, so I just use it.
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I've only used it for work, and I use it for personal, so I'm always in my my admin suite, so I have more tools there.
00:10:47.519 --> 00:10:48.720
Okay, so let's see.
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A visual outras outfit Tetris app.
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I loved it.
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Um a backwards plan or timeline generator.
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Yeah.
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This one I feel like.
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When do you have to do your laundry?
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Like when do you have to, you know?
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The vibe check packing auditor.
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I mean, avoid stuff with like vision because like that can be a little bit more complicated.
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Okay.
00:11:14.159 --> 00:11:17.919
Um I don't know about this one.
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Sensory friendly event manager.
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Not too worried about that.
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Um, so let's let's go with this backwards planner.
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The reason I'm not doing this with the Tetrasap is once you it'll just take it'll be long, it'll be it'd be cool, but I couldn't do it in like 10 minutes.
00:11:31.519 --> 00:11:32.080
Yeah, yeah, yeah.
00:11:32.480 --> 00:11:33.279
Um, okay.
00:11:33.759 --> 00:11:36.240
Timeline generator seems like a good idea.
00:11:36.720 --> 00:11:41.759
So I like the So I like the backwards planner timeline generator.
00:11:41.919 --> 00:11:48.000
Can you generate a starter prompt for me to drop into AI Studio to get to an initial MVP?
00:11:48.480 --> 00:11:48.799
Okay.
00:11:49.039 --> 00:11:50.000
I know what MVP is.
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Importantly, I don't want to use any API connections for this initial build.
00:11:56.559 --> 00:11:59.200
I don't know what that means, but I'll take your word for it.
00:11:59.679 --> 00:12:07.600
Um and by the way, we're we're talking about AI skills, and I kind of roll my eyes sometimes when people are like, oh, we're gonna do like a prompt engineering workshop.
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Um I roll my eyes because I feel like the only thing you really need to teach somebody when it comes to prompt engineering is that you can just ask the AI for help with whatever it is.
00:12:18.080 --> 00:12:22.320
So it's like, I want to do a I want to do a write a prompt to do XYZ.
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You just say, How do I help me write the prompt to get to that end goal?
00:12:26.240 --> 00:12:32.000
So it's so it's almost like if you if you are able to articulate the problem you want to help solve, that's almost all you need to know.
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Right.
00:12:32.639 --> 00:12:34.799
Um but there's a bit more to it, right?
00:12:34.879 --> 00:12:43.440
This like this intuition of like some of these um, you know, some of the reasons I didn't go down some of these other paths is because I've I've like experimented enough that I've built that intuition.
00:12:43.600 --> 00:12:45.440
Um, so we have our prompt.
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Um where do you put that?
00:12:48.480 --> 00:12:49.679
And then we're gonna go to AI Studio.
00:12:49.919 --> 00:12:50.720
So this is AI Studio.
00:12:51.120 --> 00:12:52.240
Okay, okay, okay, okay.
00:12:52.639 --> 00:12:58.320
Um if you go you if you if you log in initially, you'll come to this place, it'll be home.
00:12:58.559 --> 00:13:03.120
Um you want to go to build, okay, which is actually where we're gonna describe your idea.
00:13:20.879 --> 00:13:22.000
Just call it a webinar.
00:13:22.639 --> 00:13:23.440
So what's funny?
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We didn't say anything about neurodivergence or ADHD, right?
00:13:26.559 --> 00:13:30.480
And it's like time blindness, executive function, and I'm like, whoa yeah.
00:13:31.200 --> 00:13:33.440
That's uh that's kind of it.
00:13:38.080 --> 00:13:39.679
Okay, then I click build.
00:13:40.159 --> 00:13:45.759
So with vibe coding, you'll usually have pretty much all the tools look roughly similar, by the way.
00:13:45.840 --> 00:13:47.120
This is another vibe coding app.
00:13:47.279 --> 00:13:47.440
Okay.
00:13:47.679 --> 00:13:49.919
Um, if you want to see an example of this.
00:13:50.320 --> 00:13:53.600
Um and looks roughly the same, right?
00:13:53.679 --> 00:13:59.200
You have your your chat bot, your your chat uh box here, um, and then a preview.
00:13:59.360 --> 00:14:05.919
So it literally will like code and build the tool um or the application of the software or the website.
00:14:06.000 --> 00:14:08.720
Um, and you'll sort of see it in real time as it's developed.
00:14:08.879 --> 00:14:14.320
And so, unlike if you've used like a website template, have you ever used like Squarespace or Wix or anything like that?
00:14:14.879 --> 00:14:20.559
Um so in Squarespace, you'll go and like actually click and you can like change the text and like it'll be like a text editor.
00:14:20.720 --> 00:14:25.519
Um, the way vibe coding works, it's almost like you have um your engineer sitting right next to you.
00:14:25.600 --> 00:14:28.159
And so you wouldn't go in and change the title.
00:14:28.320 --> 00:14:33.039
You might say, I don't want it to say vibe coding sandbox, I want it to say you know, vibe coding playground.
00:14:33.200 --> 00:14:35.440
And you would literally just type that in there and then it would change it.
00:14:35.840 --> 00:14:36.720
Okay, okay.
00:14:37.039 --> 00:14:40.720
Um so we have so this is where the preview is gonna show up.
00:14:40.799 --> 00:14:42.399
It's like literally doing the coding right now.
00:14:42.639 --> 00:14:42.799
Okay.
00:14:43.360 --> 00:14:46.720
Um creating some metadata.
00:14:47.120 --> 00:14:48.159
Okay, here we go.
00:14:51.840 --> 00:15:01.200
Um do you have a trip coming up that we could uh I am going to South by Southwest EDU, which hopefully I'll see you.
00:15:01.519 --> 00:15:06.399
Uh so I am leaving on March 8th, returning on March 12th.
00:15:11.840 --> 00:15:28.240
And then you're there this is uh so we have like some like functionality so you can like check the box.
00:15:28.559 --> 00:15:28.879
Okay.
00:15:30.000 --> 00:15:36.799
Um so this is now like truly the first the first output.
00:15:37.039 --> 00:15:39.279
And what happens now is you start to like iterate on it.
00:15:39.440 --> 00:15:50.240
You say, Oh, I'd like to be able to upload um a uh my flight information and have it like sort of like add that to the plan.
00:15:50.720 --> 00:15:59.759
Um you might wanna you might say, oh, during the like pack, like for the like whenever there's more detail there for sure.
00:16:00.080 --> 00:16:06.240
Yeah, I want to be able to add like a to-do list underneath each of these sort of like uh like the sort of like the the cards on the timeline.
00:16:06.320 --> 00:16:06.639
Yeah.
00:16:06.720 --> 00:16:08.480
Um and it'll just build that stuff for you.
00:16:08.720 --> 00:16:08.960
Okay.
00:16:09.120 --> 00:16:14.320
Um so if we took more time, we could we could pretty much build the app for you.
00:16:14.480 --> 00:16:14.720
Yeah.
00:16:14.879 --> 00:16:16.879
Um and I can send you this afterward if you want to hack it.
00:16:17.120 --> 00:16:18.080
Yes, yes, I'm curious.
00:16:18.240 --> 00:16:18.480
Yes.
00:16:18.799 --> 00:16:19.759
I want to play with it.
00:16:20.240 --> 00:16:25.279
But the where's my meter study?
00:16:27.600 --> 00:16:29.840
It is here.
00:16:30.799 --> 00:16:35.519
Um so this is this is kind of what happened as I was kind of talking to you about.
00:16:35.679 --> 00:16:55.039
So um what you're looking at here is um a benchmark that uh this organization uses to um figure out like how many times can LLMs complete uh coding tasks, um, and how long does it take to complete the task.
00:16:56.639 --> 00:17:08.079
And basically what we're seeing is that the um uh like the time horizon is increasing.
00:17:08.559 --> 00:17:10.480
Um it's getting longer.
00:17:41.680 --> 00:17:52.799
So um the the one of the big limitations with with uh with using AI to code is that um are you familiar with context windows?
00:17:54.079 --> 00:18:06.640
So um let's say you were gonna write an essay uh or a an op-ed um about you know something about education, um, you could upload like background information to help it write.
00:18:06.799 --> 00:18:12.319
Um over time, the um the length of how much background information you could upload has increased.
00:18:12.720 --> 00:18:25.680
So it used to be that you could only upload like 400 words, and then that increased to like 800, and then um then you could upload like you know a six-page document, and and now you're able to upload like, you know, a whole book.
00:18:26.319 --> 00:18:44.799
Um well with coding, the way that that has played out is you know, you could use AI to do tasks that would only take you, let's say, 10 minutes or 15 minutes, but the minute you get to like longer tasks, like something that would take you, let's say two hours, there's so much code that you're writing in that two-hour process, it's all it's creating all this context.
00:18:44.960 --> 00:18:47.920
Um and the AI just fails.
00:18:48.079 --> 00:18:57.279
Uh so um the higher on the chart, it means like the the the longer the task that AI can successfully complete.
00:18:57.680 --> 00:18:58.240
Ah, okay.
00:18:58.400 --> 00:18:58.960
Okay, okay.
00:18:59.039 --> 00:19:00.240
Thank you for clarifying.
00:19:00.559 --> 00:19:05.759
Um that's impressive then, and maybe a little scary for some people.
00:19:06.240 --> 00:19:07.839
Very, very, very much in terms of jobs.
00:19:08.240 --> 00:19:12.079
So we're we're getting to you know pretty sophisticated tasks.
00:19:12.240 --> 00:19:12.559
Yeah.
00:19:12.799 --> 00:19:20.000
Um, you know, and and kind of my example of like, you know, cloud cowork being written in a week, it's like and almost entirely generated by AI.
00:19:20.400 --> 00:19:32.240
Um it has gone from a helpful tool to support and augment engineers to a tool that can attack that can almost wholesale replace work that an engineer would do.
00:19:32.559 --> 00:19:36.880
Um and again, this this happened middle of last year.
00:19:37.039 --> 00:19:37.359
Yeah.
00:19:38.000 --> 00:19:40.400
So it's a quantum leap, as they say.
00:19:40.640 --> 00:19:51.200
It is, and and the combination of that with the user friendliness of being able to literally just like type in something you want and you have this, and you can now share it just like you would share like a Google Doc.
00:19:51.519 --> 00:20:00.960
Um, you can publish this, by the way, as like an application with its own URL, and you could share with friends or with your um with your child or anybody that might want to use it.
00:20:01.200 --> 00:20:20.319
Um so I that's mostly I mostly just want to share because that's what's on my mind is we we don't like we we have to come to terms with this technology is moving way faster than the infrastructure of the educ of education.
00:20:20.799 --> 00:20:41.039
And that I think that's the segue to sort of like the conversation I'd love to have with you, Jen, is you know, how how do we make sure that the education sector is actually thinking the long game and not just so focused on the the shiny objects, the tools of today, as we're thinking about like what does school transformation look like?
00:20:41.200 --> 00:20:43.359
What does the you know building capacity look like?
00:20:43.519 --> 00:20:54.480
Is it capacity to use tools like magic school, or is it something a little bit bigger that is reactive to whatever the tools might look like in one year, in two years?
00:20:54.720 --> 00:21:00.160
And then there's a whole separate thread that we may or may not have time for, which is what are the implications for the future of work, right?
00:21:00.240 --> 00:21:05.759
If like these, if like you know, you can complete six hour tasks now with AI, what are people going to be doing?
00:21:05.920 --> 00:21:07.200
Like, will they be doing anything?
00:21:07.279 --> 00:21:08.799
Um, is a question people are asking.
00:21:09.039 --> 00:21:26.079
But before we get into all of that, uh, Jen, could you give us sort of like a maybe like a short jot through through your journey and like sort of what brought you to this place where you are today where you're you've you've been sort of pulled into these like really interesting, you know, high-level conversations about sort of charting the future of education.
00:21:26.319 --> 00:21:27.839
And go back as far as you want.
00:21:27.920 --> 00:21:29.039
We can, you know.
00:21:30.160 --> 00:21:31.200
Um thank you.
00:21:31.599 --> 00:21:32.160
This is fun.
00:21:32.240 --> 00:21:34.559
I'm happy to see you, happy to be doing this.
00:21:34.720 --> 00:21:40.000
And there's certainly a very long version of the story that I could tell that I'll try to tell a bit abridge version.
00:21:40.160 --> 00:21:41.119
But I do think it's important.
00:21:41.279 --> 00:21:42.400
The roots are important, right?
00:21:42.480 --> 00:21:46.640
Like I grew up in the suburbs of Philly and my parents split when I was nine.
00:21:46.799 --> 00:21:55.599
And my mom moved into Philadelphia and my dad lived in the suburbs, which is ironic because my mom was white living in a predominantly black neighborhood, and my dad was black living in a predominantly white neighborhood.
00:21:55.680 --> 00:21:59.759
Um, but I saw education inequity firsthand because of the experience.
00:22:00.319 --> 00:22:01.839
Of existing in these two neighborhoods.
00:22:02.079 --> 00:22:06.799
The opportunities available to young people in those two settings were night and day, completely different.
00:22:07.039 --> 00:22:10.079
So I think that informed me, you know, through undergrad.
00:22:10.160 --> 00:22:18.880
I was the first someone to be a journalist, but I decided I ended up switching to focus on education based on some classes that I took late in college and then work experiences post.
00:22:19.039 --> 00:22:22.160
I worked briefly in the private sector and then I worked for an AmeriCorps program.
00:22:22.319 --> 00:22:23.759
Very eye-opening opportunity.
00:22:23.839 --> 00:22:27.200
I was able to visit all the sites in Philly and New York and be in schools.
00:22:27.279 --> 00:22:28.319
And I was like, okay, this is it.
00:22:28.400 --> 00:22:29.839
You know, red savage inequalities.
00:22:30.000 --> 00:22:30.640
I just okay.
00:22:30.799 --> 00:22:34.240
This is what I want to do with my life is think about this, this work on this issue.
00:22:34.400 --> 00:22:45.039
So I went to grad school and earned my PhD in education policy and administration at Stanford, ended up doing my dissertation on San Diego, uh, a high school reform initiative that was happening then.
00:22:45.119 --> 00:22:46.400
And I ended up studying that.
00:22:46.559 --> 00:22:50.160
So I moved to San Diego and worked on that for a couple of years, postdoc.
00:22:50.240 --> 00:22:55.680
And then I ended up getting hired after doing a consulting project for high tech high, ended up getting hired there.
00:22:55.920 --> 00:23:00.240
And so that was definitely a cutting edge kind of place to end up, especially in 2004.
00:23:00.319 --> 00:23:01.920
I think it had opened in 2000.
00:23:02.160 --> 00:23:10.480
So, you know, explosive growth, numbers of schools, and also Yeah, just for our listeners who haven't heard of High Tech High, yeah, can you give me a high tech high?
00:23:10.559 --> 00:23:18.000
To me, high tech high kind of call it like it's the education's perfect storm in some ways, in that the the thinking behind it, the founders, brilliant people who came together.
00:23:18.160 --> 00:23:25.200
They had an architect on the design team, they had uh philanthropy uh who was excited to support this effort in a big way.
00:23:25.440 --> 00:23:31.680
They had uh land that was going from um that was sort of being decommissioned, whenever like a naval plate base.
00:23:31.759 --> 00:23:37.920
So they got like built, you know, a dollar, one of those, like, you know, they got land and space for a great price in a great location.
00:23:38.000 --> 00:23:39.920
And so it was like all these things came together.
00:23:40.079 --> 00:23:44.240
And the vision was to create project-based learning-focused schools, uh, public schools.
00:23:44.400 --> 00:23:53.839
And so they started with one and then they added a middle school, and then they added another high school, and then they and now I think across the sort of San Diego region, I think there's uh 14 schools or something like that.
00:23:54.000 --> 00:23:56.400
So continues to be an innovative place.
00:23:56.480 --> 00:24:01.279
Uh, when I was there, they got approved to um certify their own teachers, which was the first charter approved to do that.
00:24:01.359 --> 00:24:02.480
So that was part of my job.
00:24:02.640 --> 00:24:08.720
And they had a large Gates Foundation grant to try to replicate back when we thought you could replicate a perfect storm.
00:24:09.039 --> 00:24:10.799
We have gotten a little smarter since then.
00:24:10.880 --> 00:24:17.039
Uh, but there were schools that were started in that high tech high network that are still going strong, and many have closed uh from that initial network.
00:24:17.119 --> 00:24:22.720
You know, it would actually be interesting to study the sort of trajectory of that whole uh network of schools that we helped to start.
00:24:22.880 --> 00:24:27.279
And then the founder of High Tech High, Larry Rosenstock, wanted to start a grad school.
00:24:27.359 --> 00:24:29.599
He just was like, let's I want that.edu.
00:24:29.839 --> 00:24:31.119
Let's start grad school.
00:24:31.359 --> 00:24:38.400
And so we uh kind of I had to figure out how do you start a graduate school in a K-12 charter context in California?
00:24:38.559 --> 00:24:39.359
And we did.
00:24:39.440 --> 00:24:41.680
And that that grad school is still going very strong.
00:24:41.839 --> 00:24:44.960
But San Diego was not sort of for me uh ultimately.
00:24:45.119 --> 00:24:54.640
So I moved to Chicago and worked at Chicago Public Schools and then kind of moved around as many of us did, sort of after Arnie Duncan left Chicago and went to DC to join the first Obama administration.
00:24:54.799 --> 00:25:05.680
Um, you know, things kind of got unsettled in the Chicago context, but ended up leading a nonprofit and then going to the Gates Foundation, uh, where I was for six years on the Networks for School Improvement Strategy.
00:25:05.759 --> 00:25:09.119
So I ran the community of practice, this national community of practice.
00:25:09.200 --> 00:25:12.240
There was about, I don't know, 21 grantee organizations in there.
00:25:12.400 --> 00:25:26.160
And so a real focus on secondary schools, um, using continuous improvement, moving particular outcomes that were sort of, you know, codified in the strategy, uh, working with teams that were working on these things, doing capacity building, convening, stuff like that.
00:25:26.319 --> 00:25:27.759
And so then my strategy was ending.
00:25:27.839 --> 00:25:28.799
So my role was ending.
00:25:28.880 --> 00:25:30.079
So the question was, what's next?
00:25:30.160 --> 00:25:31.440
This is 2024.
00:25:31.680 --> 00:25:39.519
And I decided to start my own consulting practice, you know, kind of I've been doing adult learning work and education, you know, for 20 plus years.
00:25:39.599 --> 00:25:47.519
So I thought, you know, and I've now seen it from philanthropy, I've seen it from a district perspective, I've seen it from a nonprofit charter, been an ED of a nonprofit, I've been an employee of a nonprofit.
00:25:47.599 --> 00:25:53.839
So I was like, I think I have lots of a good almost 360 perspective on some of these things, you know, I think I can be helpful.
00:25:53.920 --> 00:26:00.480
Um, so I started my consulting practice, which is called Steward Education Advisors in uh September of 2024.
00:26:00.559 --> 00:26:09.200
And then I met you uh at one a convening that I was helping to plan uh for the Education Fund or Strategy Group in partnership with Ed Council and the rest of history.
00:26:09.279 --> 00:26:10.000
I'm here.
00:26:10.319 --> 00:26:11.039
And here you are.
00:26:11.200 --> 00:26:11.519
Yes.
00:26:11.839 --> 00:26:15.599
Yeah, and and yeah, education EFSG Education Fund and Strategy Group.
00:26:15.680 --> 00:26:23.359
I mean, this is I mean, these are some of the most sort of uh sort of pivotal philanthropies in the education space coming together.
00:26:23.680 --> 00:26:30.559
I mean, I remember you and I met, this was months and months before at Grandmakers for Education, actually, when you had mentioned.
00:26:30.799 --> 00:26:43.119
Um, and so there was a lot of planning that went into this, and it was it was reflected by the way, hold on, I have a cat who is um wanting to get out of interaction.
00:26:43.359 --> 00:26:43.599
Yes.
00:26:44.319 --> 00:26:52.400
Um I mean I'm curious, like where where are folks' minds right now?
00:26:52.720 --> 00:26:54.799
Like, is is it is it excitement?
00:26:54.960 --> 00:27:01.039
Is it like are are folks just sort of like still feeling a sense of like you know confusion or anxiety?
00:27:01.279 --> 00:27:03.200
Or do the do people is there a plan?
00:27:03.279 --> 00:27:10.960
I mean, I just you know it's been the three years on since you know Chat GPT and language models kind of were thrust upon us, like truly just from your vantage point.
00:27:11.039 --> 00:27:13.359
Um, about AI?
00:27:14.000 --> 00:27:14.799
About AI, yeah.
00:27:14.960 --> 00:27:15.839
Of course, of course, unfortunately.
00:27:17.759 --> 00:27:22.079
From my perspective in general in the world right now, uh, but with AI specifically.
00:27:22.400 --> 00:27:24.640
You know, oh boy, that's a good question.
00:27:24.799 --> 00:27:26.640
I think that there is definitely anxiety.
00:27:26.799 --> 00:27:35.279
I think with any um any technology, anything that moves really fast uh makes people anxious because they're like, I don't know what this is, I don't have control over it.
00:27:35.440 --> 00:27:36.799
There's a lot of unknown there.
00:27:36.880 --> 00:27:44.400
I think that when you're working with smart people, you know, then I these thinking about these people in philanthropy, they want to be ahead of the curve.
00:27:44.480 --> 00:27:48.559
And there's no way to be ahead of this curve because the curve keeps shifting.
00:27:48.799 --> 00:27:57.680
And so I think that sort of there's like there's almost like a humility that you have to be like, okay, I'm not gonna be the person who knows the most about this, but can I know enough to at least be helpful?
00:27:57.920 --> 00:28:04.240
And so I think that there is, I and I think probably like there's almost like an adoption curve of people, right?
00:28:04.319 --> 00:28:07.759
Like there's some folks who are like, all right, let's do this, let's get on it.
00:28:07.920 --> 00:28:09.839
There's people who are like, ooh, let's wait and see.
00:28:09.920 --> 00:28:15.279
You know, there's laggards, there's so I think there is definitely, I don't think there's certainly not one reaction.
00:28:15.440 --> 00:28:19.759
Um, I do think that there's a pretty universal awareness that this is a thing we need to pay attention to.
00:28:20.000 --> 00:28:23.519
But I think there's a lot of trying to learn and figure it out and see what's happening.
00:28:23.599 --> 00:28:28.240
I I don't feel like folks, my experience is I don't feel like folks feel like they have a good handle on it.
00:28:28.480 --> 00:28:34.559
And so, and it's like a second step, because it's like, especially in education, if you're thinking about, you know, what are folks doing, what do they need help?
00:28:34.799 --> 00:28:39.200
First, you have to kind of understand the lay of the land if you're gonna think about where you might step in and support it.
00:28:39.359 --> 00:28:44.799
And so I think that things are still sort of um, they haven't quite um gelled.
00:28:46.079 --> 00:28:48.400
Um it's a tricky time.
00:28:48.480 --> 00:28:49.839
I think it's a tricky time.
00:28:50.160 --> 00:28:56.160
And because that is laid on top of a world that feels like it's in crisis and is actually in many ways, right?
00:28:56.400 --> 00:29:03.279
And in ways that have huge impacts on education, both structurally and students' lives and communities specifically.
00:29:03.440 --> 00:29:12.079
You know, so like I think if this were coming at a time that there wasn't all this other stuff, maybe people would be able to attend to it in a more disciplined way.
00:29:12.319 --> 00:29:17.839
But it's like one thing amongst lots of things that feel very urgent right now.
00:29:18.000 --> 00:29:23.039
So I think that is part of what's sort of steining having a more uh organized response to it.
00:29:23.279 --> 00:29:29.680
Yeah, I mean, I mean, education is always hard because there's like it, there's always crises.
00:29:30.000 --> 00:29:53.039
I mean, even if it's just like, you know, a school bus strike or, you know, a like, you know, my mom taught in Akron Public Schools and just and she does she was like an assistant principal for a while and like dealt with like discipline and just like you know, this the stuff that she had to deal with on a day-to-day basis, setting aside like the macro challenges, like even the day-to-day in good times is very complicated and it's hard to be focused.
00:29:53.200 --> 00:29:56.480
And then you layering in literal, like, you know, it's like budget cuts.
00:29:56.559 --> 00:30:08.960
And then um, I actually just presented at a school on uh last Monday, and there was like the the national walkout on the previous Friday in protest of what ICE was doing in Minnesota.
00:30:09.519 --> 00:30:12.319
And you know, it's like I was actually going there to present.
00:30:12.400 --> 00:30:17.599
It was like uh the the the teachers, the staff were all together, and so it was like a staff, you know, learning opportunity.
00:30:17.680 --> 00:30:38.240
And um, like the first 20 minutes were you know, folks kind of like just debriefing on all of the stuff that happened around that and like the way that the um, you know, just like how the teachers are feeling and you know, like what it meant for those teachers who didn't want guys and it was just like just as a way to demonstrate, you know, he were here to learn together.
00:30:38.480 --> 00:30:41.200
Um, but that was a conversation that had to happen, right?
00:30:41.279 --> 00:30:48.240
It's like it's like you can't, as a school leader, you can't just say, well, this AI thing is really important, so we're gonna just ignore the other stuff.
00:30:48.319 --> 00:31:06.400
And funders, I'm sure, are getting a lot of emergency appeals right now, whether it's organizations that are, you know, having to mobilize, you know, for what all the various, you know, needs that are that the moment is requiring from activists, from uh nonprofit groups, but then also just like because of budget cuts.
00:31:06.559 --> 00:31:07.200
Yes, exactly.
00:31:07.440 --> 00:31:12.400
You know, it's like there are most funders that I've talked to are not in a growth mindset right now.
00:31:12.559 --> 00:31:21.759
Like they're not thinking about how do we expand, they're thinking about how do we keep folks' lights on and you know, and they're getting hit by new tax laws that are changing their ability to give.
00:31:22.000 --> 00:31:22.720
Yeah, it's very hard.
00:31:22.880 --> 00:31:31.200
Yeah, and yeah, substance where we managed to get, I think it was like what 40 or 50 funders to take two and a half days together and create that shared space.
00:31:31.440 --> 00:31:41.920
And it's interesting, you you you I one of the things you said struck me, it's like it people with education are not like it it they don't have the move fast and break things mentality.
00:31:42.079 --> 00:31:43.039
No, which I think is good.
00:31:43.119 --> 00:31:45.279
I I I think I would rather that we're working with children.
00:31:45.359 --> 00:31:45.599
Yeah.
00:31:45.839 --> 00:31:47.200
We don't want to break children.
00:31:48.720 --> 00:31:49.119
Right.
00:31:49.359 --> 00:31:52.160
So yeah, I don't know, I mean, I don't know about you.
00:31:52.240 --> 00:32:01.359
I think if I had to choose between the the space moving too fast or too slow, I would choose too slow, even though there's there's risks with that as well.
00:32:01.599 --> 00:32:03.119
Because yeah, we're dealing with kids.
00:32:03.200 --> 00:32:06.480
We don't really want to experiment on kids experiment on kids entirely.
00:32:06.799 --> 00:32:06.960
Right.
00:32:07.119 --> 00:32:18.960
And then you still have the adoption curve there, because obviously we have schools, districts, places that are really seizing this moment, you know, like we had folks from Gwinnett County, like they're doing really interesting forward-thinking stuff about how to integrate this in.
00:32:19.119 --> 00:32:23.599
We got micro schools, you know, I mean there's lots of, you know, so there's there's again the curve.
00:32:23.680 --> 00:32:30.559
And then there's a but I think that yes, the bulk of the curve is still on the slower adoption end of things for sure.
00:32:30.880 --> 00:32:39.039
I mean, this feels like a crazy moment, and it probably is maybe the fastest technology has ever changed in the history of humankind.
00:32:39.119 --> 00:32:45.119
I mean, I'm trying to think of maybe if it was there ever like a faster takeoff, and I can't quite think of anything.
00:32:45.279 --> 00:32:53.839
Maybe like the nuclear bomb in terms of how quickly that changed geopolitics, but you know, all the other industrial revolutions played out over like, you know, two to five decades.
00:32:54.000 --> 00:32:57.279
Not how would you compare it to the internet, the advent of the internet?
00:32:58.559 --> 00:33:02.319
Well, I mean, think about I mean, I remember when my parents had dial-up.
00:33:02.640 --> 00:33:03.039
Yeah.
00:33:03.279 --> 00:33:07.680
And I remember when we had broadband, and that was like five years later.
00:33:07.920 --> 00:33:08.240
Yeah, yeah.
00:33:08.559 --> 00:33:09.839
And then I remember when I got my first smartphone.
00:33:10.079 --> 00:33:10.640
It's a lot slower.
00:33:10.799 --> 00:33:12.240
The progression was a lot slower.
00:33:12.319 --> 00:33:16.799
It wasn't six months from one, you know, release to the next that changes everything or whatever.
00:33:16.960 --> 00:33:18.240
Yeah, it was it was much slower.
00:33:18.319 --> 00:33:18.960
That makes sense to me.
00:33:19.039 --> 00:33:19.599
Yes, that's right.
00:33:19.920 --> 00:33:23.839
But still, I mean, like, I think that's like part of, you know, if you're I'm a student of history.
00:33:23.920 --> 00:33:31.279
I mean, and as you look at sort of like as we've had more, like, you know, we've had a couple industrial revolutions, you know, under our belt.
00:33:31.359 --> 00:33:33.519
This really does feel like an industrial revolution.
00:33:34.000 --> 00:33:37.519
Um, the time scales do get compressed each time.
00:33:38.079 --> 00:33:42.799
Um, because you're in in each case, you're building on top of, you know, everything that came before.
00:33:42.960 --> 00:33:55.279
So, you know, AI already had the internet, and so Chat GBT was able to hit, I think, like 100 million users in like an hour or something, um, because everybody's already connected and sharing it on TikTok and reels or whatever.
00:33:55.440 --> 00:33:55.680
Yep.
00:33:55.839 --> 00:34:04.799
But I the reason I bring that up is because this is not the first time that education has had to make sense of new technologies and figure out how do we sort of transform.
00:34:04.960 --> 00:34:07.440
Um, and I'm curious if like, did it feel like this?
00:34:07.599 --> 00:34:17.119
Like, was there the same kind of like scramble and mix of excitement and anxiety about getting computers into schools or getting internet into schools?
00:34:17.440 --> 00:34:17.679
Yeah.
00:34:17.840 --> 00:34:21.039
I don't, I think it's I think it feels pretty different.
00:34:21.119 --> 00:34:25.920
You know, I remember the first Apple, you know, computers coming in when I was in elementary school.
00:34:26.000 --> 00:34:27.280
That's you know, where I am, Gen X.
00:34:28.000 --> 00:34:32.000
I think that why this feels different to me, especially thinking about like ed tech.
00:34:32.239 --> 00:34:35.039
Like ed tech was sort of about how to deliver content better.
00:34:35.199 --> 00:34:41.920
You know, I mean it was sort of not fundamentally changing the the nature of things, you know, maybe some of the the how, but not as much the what.
00:34:42.159 --> 00:34:45.519
I think that this is changing so many things.
00:34:45.679 --> 00:34:48.159
It can change how you teach your kids.
00:34:48.400 --> 00:35:03.599
It can change how your kids respond and and produce content, it can change in the kinds of jobs that are available to kids, it can change what kinds of information and resources are available to kids outside of school or in school.
00:35:03.760 --> 00:35:09.039
Like it's changing so many facets of life at the same time.
00:35:09.199 --> 00:35:12.719
Whereas I think those other pieces were much more like circumscribed.
00:35:12.800 --> 00:35:15.119
And I was like, this is gonna change how you teach math.
00:35:15.280 --> 00:35:19.199
You know, that's still a thing, and that's still, you know, not inconsequential.
00:35:19.360 --> 00:35:28.000
But this thing has so many dimensions to it and so many ways it can change our lives that I feel like it's just it feels so much bigger.
00:35:28.880 --> 00:35:29.440
Yeah.
00:35:29.760 --> 00:35:39.920
You mentioned Quinn County, you like there's there's actually like a really long list of schools that are, you know, forward thinkers that are actually doing like walking the walk.
00:35:40.079 --> 00:35:43.199
And they may not have all the answers, but they're like, hey, we have to try something.
00:35:43.440 --> 00:35:46.320
In part because the kids are sort of forcing them to, right?
00:35:46.480 --> 00:35:50.639
Because like at the end of the day, the kids are using this, using this stuff, you know, with or without you.
00:35:50.800 --> 00:35:56.800
And even if you block it and ban it and have all the academic integrity policies in in school, they can just go home.
00:35:56.960 --> 00:36:01.440
And so that's become a trigger to schools that are like, you know, they've been pushed over the ledge.
00:36:01.840 --> 00:36:04.000
And and there are some like amazing stories.
00:36:04.079 --> 00:36:06.320
And I I it's but it's not enough, right?
00:36:06.400 --> 00:36:15.679
Like it's it's it's there's a long list, but relative to the you know, tens of thousands of school districts across the country, um, it's still a really, really small segment of them.
00:36:15.840 --> 00:36:16.079
Yeah.
00:36:16.320 --> 00:36:24.800
What do you see as like the most important conditions that need to be in place for a school to go from being sort of on the back foot to the front foot?
00:36:25.440 --> 00:36:30.800
I think that uh I think leadership is huge.
00:36:30.960 --> 00:36:37.039
I think how who the leaders are, what the leaders sort of know, their sort of like growth mindset and openness.
00:36:37.199 --> 00:36:48.559
And then the way they sort of think about introducing, you know, new tools or or new approaches to their staff, I feel like that is sort of the crux of a lot of change.
00:36:48.800 --> 00:36:55.199
You will have some bottom-up places where you'll have teachers, teacher leaders who embrace things and bring them to their colleagues or bring them to leadership.
00:36:55.280 --> 00:37:03.519
So it's not always a top-down thing, but I think the role of the leader, if you actually want something to diffuse across more than one classroom, I think leadership is really important.
00:37:03.760 --> 00:37:17.679
And when I think about, even when I think about my career, which a lot of it has been about diffusing innovation, you know, it may not seem obvious, you look at my resume, but I mean, working at High Tech High was about how do we get more schools to use project-based learning.
00:37:17.840 --> 00:37:24.800
You know, even when I was at Academy for Open School Leadership, how do we get more schools to be thoughtful about, you know, really turning around the lowest performing schools?
00:37:24.960 --> 00:37:33.039
You know, some of what we did was probably, I would feel differently about it now in the rear view, but that was an urgent sort of push and coming from the feds.
00:37:33.119 --> 00:37:42.800
And so I feel like what I've observed in an effort to try to disseminate innovation is that resources are only useful to people when they're useful to them.
00:37:43.360 --> 00:37:45.360
It's very simple sounding right.
00:37:45.679 --> 00:37:51.039
So you can have all the resources in the world, but if I don't see it's gotta be user-centered at some level, right?
00:37:51.119 --> 00:38:01.599
If I don't see how this thing is gonna help me do my job better, help my kids learn better, help me prepare my kids for the future better, then I'm gonna probably not use it because we still, you can still close the door in a classroom.
00:38:01.679 --> 00:38:10.159
And so I think that I think, and I even see this just in the general world, you know, like a lot of AI stuff is being pitched or like being put on my phone.
00:38:10.239 --> 00:38:12.000
And I'm like, I don't want this.
00:38:12.239 --> 00:38:13.280
How do I turn this off?
00:38:13.440 --> 00:38:15.360
Like, I don't want it's not helpful to me.
00:38:15.440 --> 00:38:17.599
It's not because I don't like AI or don't want it.
00:38:17.760 --> 00:38:19.440
It's just I don't want that right now.
00:38:19.519 --> 00:38:26.719
I don't, that doesn't help me use this app that is so like if we keep foisting it on people, then I think you're gonna not see the kind of uptake you want.
00:38:26.880 --> 00:38:40.480
I think you have to work with people to figure out what is the problem you're trying to solve, or how can we use these tools to help you do your job better or to free up your time to do the things that that are only being able to be done by a human, right?
00:38:40.639 --> 00:38:45.440
Like I remember, I can't remember, it was someone I think at the ESSG meeting that shared some data.
00:38:45.519 --> 00:38:52.239
I think it might have been useful about like teachers using a tool to do the first pass review of these essays and give the kids feedback.
00:38:52.320 --> 00:38:59.920
And then the kids turn in the revision and then the teacher read the final versions or whatever, you know, and how the students' grades went up.
00:39:00.159 --> 00:39:08.800
Now, I don't know all the details of how that happened, but I'm just like, how can we think about the things that that's that so to me, that is meeting a teacher's need, right?
00:39:08.880 --> 00:39:14.639
Like you can do the first pass on essay and kind of get rid of like the easy like grammatical mistake, grammatical mistake, like stuff like that.
00:39:14.800 --> 00:39:15.119
Do that.
00:39:15.199 --> 00:39:16.079
I don't need to do that, right?
00:39:16.159 --> 00:39:17.679
You can do a computer do that.
00:39:17.920 --> 00:39:24.639
Get the kid to improve it, then let me get in there and give that human level of feedback that that probably a computer can't provide.
00:39:24.719 --> 00:39:26.079
A computer doesn't know you as a kid.
00:39:26.159 --> 00:39:27.679
They don't know your learner, whatever.
00:39:27.840 --> 00:39:58.719
So I think that how do we make those kinds of cases to people that like it can make maybe more efficient, make let you use your time and way it just separating out those sort of uniquely human things that humans need to do, and then things that maybe could be done using another modality and present that to teachers in a way that feels helpful, that doesn't feel you're trying to take my job away, you're trying to de-skill me, you're trying, you know, like I just I think there's you have to kind of sell it and you have to sell it in a way that feels user-centered.
00:39:58.800 --> 00:40:03.519
And I feel like uh kind of a lot of what I've seen doesn't feel that way to me.
00:40:03.760 --> 00:40:08.719
And I think that, you know, and I do think there is a diffusion of innovation even within schools.
00:40:08.880 --> 00:40:11.599
Like you can have you have your early adopters.
00:40:11.679 --> 00:40:19.039
So, like, okay, go to where it's warm, have those people pilot some stuff, and then the kids start talking about this cool thing they're doing in so-and-so's classroom.
00:40:19.119 --> 00:40:20.800
And that teacher's like, wait, what are they doing?
00:40:20.880 --> 00:40:21.599
I want to do that too.
00:40:21.679 --> 00:40:24.480
I want kids talking about my class, like, you know, like it.
00:40:24.639 --> 00:40:31.360
So I think it's sort of like, you know, some people say, like a wedge and spread, you know, like you got to get in there and then you gotta spread it.
00:40:31.519 --> 00:40:46.400
But just doing it completely top down or not making the direct connection to how is this gonna make my life better, my kids' life better, the world better, whatever it is, you know, if without that um rationale behind it, I think it's it's gonna continue to be a hard sell.
00:40:46.639 --> 00:40:56.079
We know that, you know, people don't have time, they don't have the resources, you know, like we know that we're going into a challenged environment, particularly in public schools that serve students with the highest needs.
00:40:56.320 --> 00:41:12.480
So how do you take this environment that already is stretched very thin and allow people uh sort of uh incentivize people to want to try something different when they feel like they have no bandwidth, not even enough bandwidth to do what they need to do day to day?
00:41:12.719 --> 00:41:19.679
I mean, that's probably not you know the most innovative thinking, but that's just that's where I think we are, is that we we're not selling it well.
00:41:20.800 --> 00:41:40.559
Well, yeah, and I think, you know, the the startup founders would say, well, we are we are making the case and they're doing all this marketing, and no doubt there's probably some AI involved in sending out all the emails and because the teachers I talk to are it's it's not that people aren't trying to show them how AI could help them.
00:41:40.639 --> 00:41:48.960
It's like they're being bombarded with hundreds, maybe thousands of um, you know, companies trying to convince them that this is going to be helpful.
00:41:49.119 --> 00:41:50.960
But I think what you're saying is really important.
00:41:51.039 --> 00:41:57.039
It's it's the like who is communicating that is very uh like it is pivotal, right?
00:41:57.119 --> 00:42:04.320
Like if this is coming from another teacher, the level of trust there is it's it's it's not even like comparable, right?
00:42:04.400 --> 00:42:07.760
Compared to like because teachers get pitched up all the time, whether it's AI or otherwise.
00:42:07.920 --> 00:42:08.079
Yeah.
00:42:08.239 --> 00:42:08.960
Um 100%.
00:42:09.360 --> 00:42:11.760
And teachers also get told to use a bunch of stuff.
00:42:11.920 --> 00:42:26.960
Uh that is actually like the practice of teaching is essentially the practice of sort of like operating within an extremely rigid and frustrating bureaucracy, which has gone through, you know, with no child left behind, this sort of obsession with measurement at, you know, at the expense of well, project-based learning, among other things.
00:42:27.199 --> 00:42:34.320
And so it's not so simple as, well, you just need an administrator who is creating an AI initiative and making sure that teachers are all using AI.
00:42:34.480 --> 00:42:42.880
Because a savvy administrator, and certainly the savvy ones we talk to, will say, Well, I could do this, but I know that's actually not the best path to success.
00:42:43.039 --> 00:42:46.320
This needs to be at least partially homegrown.
00:42:46.480 --> 00:42:49.760
And like that wedge and spread is interesting, like that teacher-to-teacher.
00:42:50.159 --> 00:42:52.000
Yeah, or it could be a coach, you know.
00:42:52.159 --> 00:42:55.199
I mean, like an instructional weekly, like a yeah, yeah, yeah.
00:42:55.360 --> 00:42:57.039
We see improvement, literacy improvement.
00:42:57.119 --> 00:43:02.159
You know, if you, you know, unpack what's happening in like Mississippi, there's a lot of coaching.
00:43:02.320 --> 00:43:09.840
So what would what could be the role of kind of an innovation coach or an AI, someone who sits with you almost like a therapist, safety, what's going on?
00:43:10.000 --> 00:43:10.880
What do you need help with?
00:43:10.960 --> 00:43:14.320
What's not working, you know, and sort of then says, here's some things that you might try.
00:43:14.480 --> 00:43:15.280
I can help you.
00:43:15.440 --> 00:43:16.079
Let's do this.
00:43:16.159 --> 00:43:18.880
And then I think then you could see some uptake, right?
00:43:18.960 --> 00:43:31.760
If there, again, it's a human, you know, this, I think for this whole thing to work, especially in education, there has to be a human interface, you know, between these major points, like between teacher and student, maybe between, you know, product and teacher.
00:43:31.840 --> 00:43:41.599
There's a human interface, you know, like between principal and teacher, you know, I just think that there has to be, I think there's a humanization aspect to it or that is being perhaps missed.
00:43:42.000 --> 00:43:47.119
And that all sounds sounds well and good, but the the the the well, the challenge in education is just the scale, right?
00:43:47.199 --> 00:43:49.760
So you have what, fifty million kids?
00:43:50.159 --> 00:43:53.280
Four million teachers, uh I think forty thousand districts.
00:43:53.360 --> 00:43:59.280
I I used to have that this number down I uh many, many thousands of districts, and it's all decentralized, so you can't just go top down.
00:43:59.599 --> 00:43:59.760
Yes.
00:44:00.079 --> 00:44:01.280
Or better and worse, frankly.
00:44:01.519 --> 00:44:07.119
And so it is easy, it's easy to go to to look at one school and say, okay, like we could sort of map out how this could play.
00:44:07.280 --> 00:44:14.800
But then if you're trying to reach, you know, the the really large, you know, audience of communities that are going to need this support, it feels a bit intractable.
00:44:14.880 --> 00:44:19.599
And and one of the pieces of your work at Gates, which is really focused on community practice models.
00:44:19.840 --> 00:44:28.480
And one of our like sort of strategies and theories of change, which is, you know, going rather than doing breadth, like actually going really deep with like subsets of teachers.
00:44:28.639 --> 00:44:30.480
We have like our Trailblazer Fellowship.
00:44:30.960 --> 00:44:56.400
But what we found is that it's not just about that one teacher changing her practices, it's that that teacher is now connecting into a community of other teachers, and then they are bringing other peers along and they are supporting their administration and like making the case because now they're an exemplar that the principal wants to celebrate and it becomes less about how do we get AI into our school and how do we support more teachers to do what you know Stephanie is doing.
00:44:56.719 --> 00:45:01.280
And, you know, our Trailblazer cohorts are about 25 and they run for 10 weeks.
00:45:01.440 --> 00:45:04.719
So there's no way that we're going to trailblaze our way to every teacher.
00:45:04.960 --> 00:45:14.880
Um our big bet is that you're not just teaching that teacher, you're building that alumni network and you're building these sort of models and case studies.
00:45:15.039 --> 00:45:19.840
But I'm curious, like, what are the other sort of secrets to the success of a community of practice model?
00:45:20.079 --> 00:45:24.239
And this could be you your advice to us, or just more sort of more broadly for like what the space needs.
00:45:24.559 --> 00:45:26.559
Well, I mean, there's I think there's two pieces.
00:45:26.719 --> 00:45:31.199
A community of practice is the spaces where you bring the people together, right?
00:45:31.360 --> 00:45:33.119
To learn, to share all of that.
00:45:33.280 --> 00:45:35.360
But it's it's net you have to have a network.
00:45:36.320 --> 00:45:36.639
Right.
00:45:36.960 --> 00:45:38.800
I mean, the network piece is really important.
00:45:39.039 --> 00:45:52.639
So in this case, then I would say I love the idea of having like teacher leaders within schools who can try to model and share and sort of demystify these the technologies within their building.
00:45:52.800 --> 00:45:58.559
But then you need to network the schools together and have the teachers from across the schools talk to each other.
00:45:58.800 --> 00:46:02.079
And then maybe you even have something above that, right?
00:46:02.239 --> 00:46:06.639
So I think your question about sort of how do we the scale question.
00:46:06.880 --> 00:46:13.199
I think in my dissertation research, even though we weren't talking about AI, but we were talking about improvement, school districts.
00:46:13.360 --> 00:46:16.239
School districts are a very important unit of change.
00:46:16.400 --> 00:46:23.119
And I think, you know, like I know Gwynette is an example that's often cited, and I hope that there are others, and I'll be happy to cite the others once I learn about them.
00:46:23.280 --> 00:46:43.039
But I think that if you have ownership at that district level and then you have activities like this happening at the schools, and then you're bringing them together to amplify it, that is a big unit of change that then becomes an example that you and I have both heard of, that other people are going to visit and learn from and get their documents and see how they're, you know, thinking about it and they're attracting funding.
00:46:43.119 --> 00:46:47.519
And it, you know, like so I think the district is an important unit of change.
00:46:47.599 --> 00:46:49.199
Of course, some districts are one school, right?
00:46:49.280 --> 00:46:52.159
Like so districts are, you know, range hugely in size.
00:46:52.239 --> 00:46:59.119
But if you're trying to get at numbers, and if you're trying to get at numbers of kids further from opportunity, then your urban districts are a good place to start.
00:46:59.280 --> 00:47:05.599
You also obviously have rural districts as well with a lot of underserved young people, but it's a just a different kind of a challenge.
00:47:05.760 --> 00:47:10.159
Uh and I know that you guys have done some work in rural and indigenous communities, so you know a little bit about that challenge.
00:47:10.239 --> 00:47:24.239
And then I think what's happening now with the sort of devolution of, I mean, states have always held the sort of constitutional authority for education, but the interplay between states and the federal government in our current moment is interesting.
00:47:24.480 --> 00:47:26.559
And I think that states are going to have a lot more.
00:47:26.639 --> 00:47:30.159
I mean, it's tricky because we know in terms of policy, there's some barriers.
00:47:30.400 --> 00:47:36.239
But in terms of practice, I think states are going to have a lot more ability to say, hey, this is what we are doing.
00:47:36.400 --> 00:47:38.000
This is how we're taking on this challenge.
00:47:38.159 --> 00:47:40.480
And that could set the stage for what the districts do.
00:47:40.639 --> 00:47:46.400
So I think that, you know, to tackle the problem of change, I would say it's definitely not a school by school.
00:47:46.480 --> 00:47:48.559
We cannot solve anything school by school, not happening.
00:47:48.719 --> 00:47:56.639
So I believe school districts, because if there's a reinforcing infrastructure between what's happening in the school and what the district expects, then you're going to see more traction.
00:47:56.719 --> 00:48:10.480
And then the moment we're in, as as challenging as it is in so many ways, I think presents an opportunity for states to be innovative and to put a stake in the ground around some of these issues in a way that could also stimulate philanthropic funding.
00:48:10.559 --> 00:48:12.159
It could stimulate, you know, local policy.
00:48:12.239 --> 00:48:15.360
But to sort of to your specific question, the community is important.
00:48:15.519 --> 00:48:16.639
I need to feel like I'm not alone.
00:48:16.719 --> 00:48:17.679
I'm not the only one doing this.
00:48:17.840 --> 00:48:28.559
I need to know if I run into this problem, either someone I can ask that probably has used the same app or the same program that might be able to say how they fixed that problem or how they dealt with this privacy issue, or are you getting weird answers or whatever?
00:48:28.719 --> 00:48:32.159
Like that is really important for the social aspect of learning.
00:48:32.320 --> 00:48:42.000
And even in the research on the work that we did at Gates, it's not out yet, but it's going to suggest that the networking of schools together was actually a driver of change.
00:48:42.159 --> 00:48:44.159
And I think that's going to be very important.
00:48:44.239 --> 00:48:46.000
And I think that's very relevant here.
00:48:46.239 --> 00:48:55.039
Yeah, this um this idea of networking schools together, it it's it's exciting to me because it's not that we have to build all these networks.
00:48:55.280 --> 00:49:00.559
Like there are a lot, like there's so many, there's so much connectivity between schools.
00:49:00.719 --> 00:49:08.960
And like our rural work being the example of like, you know, how do you reach, you know, all these like tiny, like sometimes 300 student districts?
00:49:09.519 --> 00:49:14.719
And well, there are small and rural school associations in not every state, but I think most states.
00:49:14.960 --> 00:49:35.440
There are myriad nonprofits that serve small and rural schools, whether that's state nonprofits or national nonprofits or regional nonprofits, who in some cases have spent decades building that network and they know exactly who the nodes are and who the who would you want to have in the room if you really wanted to get something that's gonna get some uh, you know, take some momentum out of a meeting.
00:49:35.599 --> 00:49:45.039
Um, so I think part of our obsession is like, how do we build on top of all of that work that's been done as opposed to try to create something new?
00:49:45.679 --> 00:49:47.360
Um what about like within a school?
00:49:47.440 --> 00:50:08.320
Because like one of the other things that you've you've done in your career is you've actually like, I mean, you talked about your work at like high tech high, but the the the like the change management that happens within a school, like you know, the we see a lot of instances where there's lots of like like leaders at a school who are like, we want to use more AI or do AI stuff, or you know, there's lots of AI initiatives out there.
00:50:08.559 --> 00:50:16.320
But you know, much of the time when we talk to folks, you know, why like what you know, why is this sort of slowed down, or like, you know, what are your biggest blockers?
00:50:16.400 --> 00:50:28.159
And it's they're just not getting the buy-in, you know, from teachers, or they're or the teachers are worried or anxious, or like to your point, they're they hear their administration talking about, you know, you should use more AI to help you save time.
00:50:28.239 --> 00:50:35.440
And what they're hearing is we are thinking about AI as a way for us to be able to invest less in our teacher workforce.
00:50:35.519 --> 00:50:41.280
And so they're thinking, is my job now at risk once the AI is able to, you know, replace enough of my time?
00:50:41.519 --> 00:50:41.760
Yes.
00:50:42.000 --> 00:50:44.480
Even if the administration is absolutely not thinking that, right?
00:50:44.559 --> 00:50:48.079
It's just like there's there's just a lot of anxieties that they have to work through.
00:50:48.320 --> 00:50:56.159
Do you feel like the change management is is that is that getting enough attention in terms of like the problem statement about AI?
00:50:56.320 --> 00:51:12.320
Because I I think I guess that this question is coming from a place where I feel like we spend so much time talking about the capabilities and the tools and the challenges with respect to how do we make sure that we have the policies in place so that teachers can safely deploy these tools to do X.
00:51:12.480 --> 00:51:16.880
And there's this other question of like, how do you create the condition for like a culture of innovation, right?
00:51:17.119 --> 00:51:33.920
Which is more amorphous and less, you know, it's it's it's not a it's not necessarily like one outcome that you can point to, but it feels feels pretty important if we're talking about like orienting schools not just for what we have now, but for, you know, whatever the world would look like in two years, let alone like five.
00:51:34.320 --> 00:51:38.639
I mean, change management is about changing behaviors, right?
00:51:39.119 --> 00:51:42.719
And behavior change is a result of learning.
00:51:43.440 --> 00:51:50.639
So if you want to manage this change, then the people that you want to change their behavior need to learn.
00:51:51.039 --> 00:51:56.559
Right now, how much time do teachers have to actually learn?
00:51:57.199 --> 00:51:57.519
Right?
00:51:57.679 --> 00:52:05.280
Like the US has one of the lowest investments in teacher time that is not non-instructional time.
00:52:05.599 --> 00:52:08.000
You know, they get like maybe one period off to eat.
00:52:08.079 --> 00:52:08.719
You know what I mean?
00:52:08.800 --> 00:52:16.480
Like, you know, they might have some time for meeting, whatever, you know, maybe like my school, I know they're closed on next Tuesday because it's teacher PD day, but that's one day a quarter.
00:52:16.559 --> 00:52:17.199
You know what I mean?
00:52:17.280 --> 00:52:23.119
Like, so if we want to change to see that change in behavior, we have to let people learn.
00:52:23.280 --> 00:52:27.440
And learning is social and learning takes time, and learning takes trial and error.
00:52:27.519 --> 00:52:33.280
And learning goes better if you have someone helping you learn, whether it's a coach or a peer or a principal or whoever.
00:52:33.519 --> 00:52:39.039
So I think the question is, are the structures in place to bring about the kinds of change that we want to see?
00:52:39.199 --> 00:52:42.159
Is the entity designed to, does it have the slack?
00:52:42.239 --> 00:52:48.320
Does it have the space and time and expertise that's needed for people to learn in order to change their behavior?
00:52:48.480 --> 00:52:50.159
Is there any space for trial and error?
00:52:50.320 --> 00:52:53.039
Like, what if I learn this thing and I kind of screw it up the first time?
00:52:53.199 --> 00:52:54.400
Like, what's gonna happen to me?
00:52:54.559 --> 00:52:55.360
Am I gonna get in trouble?
00:52:55.519 --> 00:52:56.480
Am I gonna mess up my kids?
00:52:56.639 --> 00:52:57.760
Are they gonna mess up their grades?
00:52:57.920 --> 00:52:59.519
Like, what are the consequences of it?
00:52:59.679 --> 00:52:59.760
Right.
00:52:59.920 --> 00:53:08.000
Like, so I think that there's a structural problem in the way our schools are set up that makes learning really hard.
00:53:08.239 --> 00:53:11.440
And if we don't learn, we're not gonna change.
00:53:11.679 --> 00:53:16.880
And especially when it comes to using something that is so new, people need practice with it.
00:53:16.960 --> 00:53:19.360
They need reps, they need to figure out.
00:53:19.440 --> 00:53:27.440
I mean, it was, I mean, it's it's a different example, but even with project-based learning and high tech high, we are asking people to teach in a way they've never been taught.
00:53:27.840 --> 00:53:32.239
And so we had to get them to understand and have some experiences of learning through projects.
00:53:32.320 --> 00:53:33.679
So they were like, oh, this is really cool.
00:53:33.760 --> 00:53:34.320
Okay, cool.
00:53:34.480 --> 00:53:41.360
You know, and when you ask people, you know, a lot of times when they think back to your most impactful education experience in your whole life, it's almost always a project.
00:53:41.840 --> 00:53:42.159
Right.
00:53:42.320 --> 00:53:47.920
So, like, how do we expose people like to they use it in your own life?
00:53:48.079 --> 00:53:53.920
You, you know, like just get them familiar and comfortable with the idea of how these things can actually be helpful.
00:53:54.000 --> 00:53:58.800
And it's not about taking away your job or your husband's job, or it's not making it so you don't have to cook dinner anymore.
00:53:58.880 --> 00:54:02.719
It's just trying to make it easier for you to cook dinner and know what to cook and have what you need in the kitchen.
00:54:02.880 --> 00:54:04.239
Like that could help me, right?
00:54:04.400 --> 00:54:13.679
So it people need to have, I think, the experiences that sort of like desensitize them around the fear of it to then think, oh, now I see how this can be helpful.
00:54:13.840 --> 00:54:14.559
Now I see.
00:54:14.800 --> 00:54:20.320
And sometimes having a peer who is successfully using it can be a great way to see.
00:54:20.400 --> 00:54:25.199
You're doing it with my kids in our school with our constraints, and you're doing these cool things.
00:54:25.360 --> 00:54:26.000
I want to try it.
00:54:26.239 --> 00:54:30.400
So I just I think the change management problem is really a learning problem.
00:54:30.719 --> 00:54:39.199
And we need to think about how to create opportunities for learning in a very constrained environment that is not really set up for adult learning very effectively.
00:54:40.159 --> 00:54:43.920
Yeah, it's funny because this is like you start to get to how interconnected all of this is.
00:54:44.079 --> 00:54:44.239
Yes.
00:54:44.400 --> 00:54:51.039
With with I think learning at the center, because it's, you know, one of the one of the things you mentioned is it's really hard to get, you know, there's only like one teacher PD day per quarter.
00:54:51.199 --> 00:54:51.280
Right.
00:54:51.440 --> 00:54:55.920
And we we did work with Prince George's County and we we like we had funding for three years.
00:54:56.000 --> 00:54:59.840
We had like, you know, buying from the superintendent and like all these folks on leadership.
00:55:00.000 --> 00:55:06.400
We did massive training with like you know, hundreds of teachers over the summer, and they were meeting with their team to schedule the next training.
00:55:06.480 --> 00:55:08.960
We were like, oh, we were thinking maybe it's like August or you know, September.
00:55:09.039 --> 00:55:11.119
And they were like, oh, we were thinking March.
00:55:11.440 --> 00:55:12.159
We're like March.
00:55:12.320 --> 00:55:13.199
Like that's no, no.
00:55:13.280 --> 00:55:16.239
We were like, we were like, what we were thinking maybe every other month, if not every month.
00:55:16.400 --> 00:55:26.639
And they were like, no, like we yes, we have these training days, but we have a teacher shortage, which means we have a substitute teacher shortage, which means we have fewer in-service days that we can take.
00:55:26.800 --> 00:55:30.559
And by the way, we have all this compliance of this compulsory training that has to get in.
00:55:31.519 --> 00:55:34.960
And so we were fighting initially for like one hour out of that training.
00:55:35.039 --> 00:55:41.920
And it led us to this realization that, you know, that working within just sort of the confines of that system wouldn't be enough.
00:55:42.000 --> 00:55:48.800
And we had to sort of think about how do we push towards sort of that, towards that culture of innovation and the and and those learning opportunities.
00:55:48.960 --> 00:56:01.920
And you're only going to convince the administrators by, you know, getting some teachers who were who were making the case for the learning themselves, as opposed to, you know, us as outsiders coming in and saying this would be helpful, which is what worked.
00:56:02.000 --> 00:56:04.800
And we've trained like, I think, over 3,000 teachers now in PGCPS.
00:56:04.960 --> 00:56:12.000
I don't know if you you've ever met Jeff Riley, who was the chancellor, formerly the chancellor of the Massachusetts Department of Education.
00:56:12.559 --> 00:56:14.239
And we went down the rabbit hole.
00:56:14.320 --> 00:56:15.440
We were talking about the MISPAP.
00:56:15.599 --> 00:56:17.280
Are you familiar with the MISPA Maryland?
00:56:17.360 --> 00:56:23.039
Uh it was like the most famous standardized test because it was like the one standardized test that students actually looked forward to taking.
00:56:23.440 --> 00:56:23.679
Interesting.
00:56:23.920 --> 00:56:27.760
Because it involved all these group projects and it was uh had a lot of project-based learning.
00:56:27.840 --> 00:56:31.280
It was, it was measuring critical thinking and like collaboration skills.
00:56:31.440 --> 00:56:39.599
And it ran like, I think, from like the mid 90s to 2002, and it was a casualty of No Child Left Behind because it didn't provide student level data.
00:56:39.760 --> 00:56:41.280
It only provided at the school level.
00:56:41.440 --> 00:56:44.719
And it was deemed like, well, that's just not good enough data for us to use.
00:56:45.039 --> 00:56:48.880
And and so that was just as a side, I just think that was like fascinating.
00:56:49.039 --> 00:56:56.239
It's not that we can't measure critical thinking or we can't measure, you know, like project-based learning or like the the durable skills that come from project-based learning.
00:56:56.320 --> 00:57:00.639
It's just it requires like a bit of a change in sort of like aperture.
00:57:00.960 --> 00:57:08.719
Um, but the other thing he said is that because you were talking about the fact that, well, I think only 18% of teachers today would recommend the profession to someone else.
00:57:09.039 --> 00:57:12.000
So down from like that low 60s, yeah, not too long ago.
00:57:12.159 --> 00:57:12.480
Yeah.
00:57:12.639 --> 00:57:21.039
And one thing that Jeff said is, well, you know, part of like when I was a teacher, one of the best things of being a teacher was, you know, the fact that we got to learn together.
00:57:21.119 --> 00:57:25.039
And we're there was so much more of an emphasis on, you know, shared learning.
00:57:25.119 --> 00:57:30.159
And like professional development wasn't this sort of boring like compliance exercise.
00:57:30.320 --> 00:57:33.280
It was like truly like it was a chance for us to advance our profession.
00:57:33.519 --> 00:57:35.760
And so it it's sort of interesting.
00:57:35.920 --> 00:57:42.880
Like, if we can nail the like like getting learning right ultimately is going to make teaching more fun, yeah.
00:57:43.119 --> 00:57:47.039
If it's truly learning and not just like, here's a tool that we want you to use.
00:57:47.280 --> 00:57:57.840
And creating a the ability, like creating the infrastructure to learn is an answer to the question of, well, what happens if the technology looks completely different in two years?
00:57:58.159 --> 00:58:03.360
Because then you lean back on your learning infrastructure that you've built as opposed to to update.
00:58:03.599 --> 00:58:04.880
Yeah, yeah, yeah, exactly.
00:58:05.039 --> 00:58:05.360
Exactly.
00:58:05.519 --> 00:58:14.639
I mean, I like that some of the work that's happening, like with the let's say you're your district, you know, you've a list of math or whatever, you know, you have a curriculum that you write.
00:58:14.800 --> 00:58:16.159
How do we help you use this better?
00:58:16.320 --> 00:58:17.840
How do we help you understand this?
00:58:18.000 --> 00:58:20.000
How do we help you make it make sense to your students?
00:58:20.079 --> 00:58:22.400
How do we help you create, you know, activity, whatever?
00:58:22.480 --> 00:58:27.280
Like, I think that, yeah, like when teachers can see that, this is something I kind of have to do.
00:58:27.440 --> 00:58:31.920
So, how do you how do we make it better and give me space to learn that and learn that with other educators?
00:58:32.079 --> 00:58:36.400
Like that kind of approach, I feel like that that's the type of thing that can have some traction.
00:58:36.480 --> 00:58:37.760
It's gonna take some resources.
00:58:38.079 --> 00:58:53.360
Do you feel like like philanthropy is talking and thinking about, you know, like teacher capacity and like professional development and you know, communities of practice and like change management and you know, all these things.
00:58:54.239 --> 00:58:56.639
Is it like at the top of the list of priorities?
00:58:56.800 --> 00:59:03.840
Is it you know, like how does it sort of compare to, you know, or is it even part of the conversation around AI?
00:59:04.000 --> 00:59:05.039
Because they're obviously investing.
00:59:05.199 --> 00:59:07.920
I mean, like there are no doubt, like lots of funders do invest in those things.
00:59:08.639 --> 00:59:11.199
What I for me, sometimes it's not always the same person, though.
00:59:11.280 --> 00:59:13.280
You're sometimes you're talking to the person on the AI team.
00:59:13.360 --> 00:59:13.519
Yeah.
00:59:13.679 --> 00:59:18.480
And they're like, oh, you should talk to so-and-so on the like K-12, you know, teacher capacity team.
00:59:18.559 --> 00:59:26.400
And it's like, aren't those the same, like those are the same to me, but I like uh how do I answer this question?
00:59:26.559 --> 00:59:41.199
Uh uh diplomatically, I would say that I think that sometimes the folks who are proponents of technology and want to see more of that technology in schools are not people who understand how schools actually work.
00:59:41.440 --> 01:00:00.719
And so either those functions are very separate, the tech and tech adoption and the and the actual like work of schools and teacher learning, or the tech adoption overshadows the uh there's kind of almost an assumption if we build it, they will learn it and they will come, you know, and it's like, no, it needs to be also attended to.
01:00:00.880 --> 01:00:05.280
And so I feel like we're starting to crack that nut a little bit with the like curriculum.
01:00:05.360 --> 01:00:10.320
Like people are understanding if we want to do high-quality curriculum, we have to pair it with learning.
01:00:10.480 --> 01:00:12.000
It's not just going to implement itself, right?
01:00:12.079 --> 01:00:24.320
Like I so I feel like we're seeing some shifts, but I also see this like retrenchment, and it's showing up like in data that there's a step back from K-12 investment.
01:00:24.639 --> 01:00:40.719
Um, that either folks are going more into the technology and stepping away from like the actual like work of teachers and students, which is a concern in its own right, or they're going, oh, well, we need to actually not just be thinking about schools, we need to be thinking about like housing and healthcare.
01:00:40.800 --> 01:00:43.199
And and and I'm like, well, yes, that's true, right?
01:00:43.599 --> 01:00:46.800
Kids don't live in schools, kids live in communities and they need all those things.
01:00:46.960 --> 01:00:55.679
But that doesn't mean that we should, it's it shouldn't be a zero-sum game where because we now care about these other things, we care about less about sort of like K-12 than what's happening educationally.
01:00:55.920 --> 01:01:07.760
I feel like that sort of core technology of schools to teach our student content is losing market share in philanthropy right now, at a time when actually it is really important that it not, and it makes me nervous.
01:01:08.000 --> 01:01:08.960
It makes me really nervous.
01:01:09.119 --> 01:01:09.280
Yeah.
01:01:09.360 --> 01:01:16.159
Um, I feel like oh, sometimes like a Trojan horse because we're the AI education project, and we don't we're not here to help you implement AI tools.
01:01:16.400 --> 01:01:19.039
I'm gonna change my tune on that because I think we are getting closer to that.
01:01:19.119 --> 01:01:25.119
But it's more about we're here to help you do, you know, make sure that you are implementing them in a way that is teacher-centered and advancing on these things.
01:01:25.280 --> 01:01:37.280
But most of our work is, you know, like high-quality teaching and learning practices that happen in core subjects, and you're really getting into, you know, building durable skills and you know, career connected learning.
01:01:37.360 --> 01:01:44.639
And the more people dig into our work, they're like, this is like none of this is terribly new or innovative, which is almost by design, right?
01:01:44.719 --> 01:01:53.360
Like, actually, we like like our goal is not to go into schools and say we were we're here to revolutionize your district, because that isn't they have lots of disruption happening to them.
01:01:53.519 --> 01:01:53.920
Yes.
01:01:54.079 --> 01:01:57.119
Like that, like disruption is not the thing that gets them excited.
01:01:57.360 --> 01:02:11.599
But but uh the we I literally have gotten counseled and they said, like, well, look, uh, I don't hate it was this was like a bigger consultancy, but you know, literally like sort of like verbatim, they were like, we this is a really tough, like your your your angle is really tough.
01:02:11.679 --> 01:02:18.960
Like systems change and school transformation, uh, it's just losing a lot of people are not excited about it anymore.
01:02:19.199 --> 01:02:31.920
Like funders spent you know a long time investing in it, feel like a lot of them feel like they haven't really seen you know a ton of you know outcomes from all that investment, and it just feels intractable.
01:02:32.079 --> 01:02:43.840
And I worry about this, like the idea that, well, maybe AI is the silver bullet that will allow us to sort of like skip past all of that and just you know use this technology to solve all the things.
01:02:44.400 --> 01:03:02.000
And I think most smart people like will recognize that it isn't, but I suspect that there's almost like maybe it's others in the organization or you know, I I don't but maybe is that like a misplaced concern that because I know funders are sufficient like the folks I've talked to are do not really think it's a silver bullet.
01:03:02.079 --> 01:03:05.199
Like I think they're actually like appropriately skeptical.
01:03:05.440 --> 01:03:10.239
But you go to these conferences and it kind of does feel like it's you know, yeah.
01:03:10.639 --> 01:03:15.440
Well, who's doing the selling and who's who's doing the talking, you know, at those in those spaces, right?
01:03:15.760 --> 01:03:16.719
Are we talking to educators?
01:03:16.800 --> 01:03:17.840
Are we talking to young people?
01:03:18.000 --> 01:03:20.639
I mean, I think young people know, you know, I have a young person, right?
01:03:20.719 --> 01:03:21.760
I have a 13-year-old.
01:03:21.920 --> 01:03:24.480
Young people know that this is part of their future.
01:03:24.800 --> 01:03:31.840
And I think they want to understand it and they want to have agency as to whether or not they use it.
01:03:32.079 --> 01:03:34.079
So it's it's not gonna go away.
01:03:34.239 --> 01:03:35.679
I just think it's a tool.
01:03:35.840 --> 01:03:37.360
Chalkboards were a tool.
01:03:37.840 --> 01:03:39.280
Laptops are a tool.
01:03:39.920 --> 01:03:48.480
They're a t it's a it's a tool, and it's it's uh it's a set of very powerful tools and very evolutionary tools because like you can we you and I created a tool at the beginning of this call.
01:03:48.639 --> 01:03:51.760
Like, you know, like you can, you know, it's not it's not a static tool, right?
01:03:51.840 --> 01:03:58.239
It's it's a dynamic tool, which is different than than most of the tools that have been introduced that are much more static in nature.
01:03:58.480 --> 01:04:02.239
So it's exciting, but you there is no silver bullet for sure.
01:04:02.400 --> 01:04:03.119
We know this.
01:04:03.440 --> 01:04:13.440
And I think if the more that we see it as a tool versus a solution, I think the better off we might be because solutions have been pitched to teachers for a long time, and none of them have been solutions.
01:04:13.519 --> 01:04:14.159
You know what I mean?
01:04:14.239 --> 01:04:19.920
It's a tool that helps you do things better, helps advance what you your goals for your student, you know.
01:04:20.000 --> 01:04:23.519
Like I just again, it's that user-centered view.
01:04:23.840 --> 01:04:26.960
And I think that those users are teachers and students.
01:04:27.119 --> 01:04:29.119
You know, I think this is not just an adult game.
01:04:29.360 --> 01:04:36.400
Like you said, there's ways in which the kids are probably w way out ahead of the teachers on some of this, depending on their access, depending on their savviness.
01:04:36.559 --> 01:04:42.880
So, how are we thinking about you know, ensuring that it is being seen as a tool and not an answer?
01:04:44.719 --> 01:04:47.599
It's I have a I have to go.
01:04:48.239 --> 01:04:49.760
Well, thank you so much for sticking with us.