Education Technology
Classroom AI: Who Should It Serve First—Teachers or Students?
Artificial intelligence is rapidly transforming nearly every sector, and education is no exception. As AI capabilities evolve, tech giants like OpenAI, Google, and Meta have increasingly showcased education as a core use case in product rollouts. But the tools being created often split along a critical divide: are they meant for teachers, or for…
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Key takeaways
Most current classroom AI tools are designed for teachers due to safety concerns and market dynamics, not necessarily because it's the best pedagogical choice.
Diane Tavenner contends that student-facing AI better prepares learners for the future and warns that teacher-first AI risks reinforcing outdated instructional models.
The teacher-vs-student AI divide reflects deeper questions about the purpose of school and who education is ultimately designed to serve.
Artificial intelligence is rapidly transforming nearly every sector, and education is no exception. As AI capabilities evolve, tech giants like OpenAI, Google, and Meta have increasingly showcased education as a core use case in product rollouts. But the tools being created often split along a critical divide: are they meant for teachers, or for students? With AI adoption surging in schools and districts across the U.S., the question of who classroom AI is really serving is more relevant than ever.
So, what’s the better path forward: should AI primarily empower teachers, or should it be placed directly into the hands of students?
In this episode of The Future of Education, co-hosts Michael Horn and Diane Tavenner kick off a new series of exploratory conversations on artificial intelligence. They lay out their own evolving perspectives—“AI priors”—and begin unpacking the tensions at the heart of how AI is being integrated into schools.
- Michael explores the practical reasons why many AI tools today are designed for teachers, from safety concerns to market dynamics.
- Diane believes that student-facing AI better aligns with the future of learning, and warns that a teacher-first approach risks repeating outdated models.
- Together, they reflect on how AI might finally help students take ownership of their learning, if systems are willing to adapt.
- The divide between teacher-facing and student-facing classroom AI reflects deeper questions about the purpose of school and whether we’re willing to reimagine it for a more student-driven future.
Michael B. Horn is an education strategist, author, and co-founder of the Clayton Christensen Institute, where he pioneered work on disruptive innovation in learning. He has authored several influential books, including Disrupting Class and From Reopen to Reinvent, and currently teaches at the Harvard Graduate School of Education. Horn also advises a range of education organizations and serves as a podcast co-host, speaker, and regular contributor to outlets like Forbes and Education Next.
Diane Tavenner is the co-founder and CEO of Futre.me, a platform guiding young people toward purposeful careers, and the founding CEO of Summit Public Schools, a nationally recognized network of innovative public schools. She is a leading voice in education, authoring the book Prepared: What Kids Need for a Fulfilled Life and co-hosting the podcast Class Disrupted. Diane serves as board chair for the Carnegie Foundation, Minerva University, and the Pahara Institute, and brings deep expertise in school design, education policy, and youth development.
Video TranscriptExpand ↓
Hey, Michael. Hey, Diane. Good to see you. You too. I am, I spent the weekend, on a tradition. I think we have talked about before, which is we hold a holiday party every year for what are now old friends because I think this is our twenty seventh annual. If you could seventh annual? Wow. Yeah. And, it just it it makes me appreciate longevity. And just like I have such gratitude for deep, long relationships that have built over time and, yeah, it just really it's a it's a good fill me up for the moment. So Yeah. That's amazing. We're obviously recording this as we approach the holiday season. If people can't figure that out from that intro, that's an amazing, place to start and the gratitude you have around that, Diane. So very, very, very neat. Let's lay out what we're doing for folks today, and as we get into a little series on the topic that we talked about in the first, episode back, which is artificial intelligence. You wanna lay it out, Diane, what we're thinking? Yeah. I think, as as folks know, like, we are now following our curiosity, and we've been doing that for a while. And, you know, I think I don't think either of us are just, like, a hundred percent all in on AI, like, huge evangelists. And I do think that we're, at a minimum, cautiously optimistic about the possibilities of it. And so we're just curious about it. And I think we find ourselves kind of talking about it and asking about it. And so, we are gonna do a little exploration. We're not exactly sure. We've got some ideas of the format and whatnot. We're not exactly sure how long it will last for, but, we thought we'd just kick off today with where we're starting that exploration. And I think I personally I think you're with me. I hope I end in a different place, quite frankly. I hope I end in a place where I've, like, learned some stuff and talked to interesting people and, you know, maybe think a little bit differently, hopefully smarter, than I am now. But but today, we wanted to just kind of lay a foundation of where we're coming from, based on what we know so far. Yeah. Love love that intro. And what I would add is it's obviously a hot topic in education. Everyone knows that. But I think what's also interesting, to me anyway, has been how OpenAI and Google and, you know, Facebook, like or Meta, I should say, whenever they talk about AI, they seem to show education use cases as, like, a major part of all their launches. I'm sure that's not quite right, but it's more than I can remember on most product launches outside of maybe the iPad over the last twenty years. And so it's obviously getting a lot education and AI together, Diane, are obviously getting a lot of attention. And I find myself anyway, and we'll talk about this in a moment, like, I start out with a strong prior, and then I read a couple things and I completely flip my opinion. And then I have that opinion and I talk to someone, and then I change again. And so, like, I find myself pretty malleable still. But like you, it feels like this technology enabler that could be really, really intriguing, and we need to explore more on. I I I agree with you, and I think we'll do that in a way that we always do. We're always looking for sort of third way solutions that are very practical and very pragmatic and very connected to what's actually happening with young people in schools, with teachers. And so, yeah, I think that, you know, people might be, like, thinking, oh my gosh. More AI. But I hope that we're gonna bring a a sort of pragmatic approach to it that that is actually useful for people. Yeah. No. Perfect. And I will tell you when you visited my class, and showed off future with the students, they noted that you never mentioned AI in your talk. So we are certainly not leading with AI, but we think it's intriguing. And so against that, let me start out with the opening framing I'd love to propose to you, and then you can sort of react to how that framing sits. But it's one that I'm stealing from a friend of ours, in the venture world, and it's something though that I'm noticing in the field. And I don't know that everyone who sort of is launching AI education products notices it this way. But what I'm seeing is that there's sort of, on the one hand, a lot of AI start ups and AI approaches that are very teacher centered or teacher facing as their entree, if you will, into the classroom or learning environments. And then on the other hand, you have the student centered or student facing applications. This might be like the Conmigo or, you know, some of those things that we've seen out there. And so there seems to me to be a bit of a dichotomy in terms of the start up space, the investors approach, different entrepreneurial approaches, even teacher, frankly, and school designer and educator approaches on how they're thinking about AI. Is it first a teacher tool, or is it a student facing tool? What what's your take on that framing before we dig into each side of this? Yeah. So I think that, sadly, and I will say sadly for me, I think most people are thinking about it from a teacher facing approach. And I think I sent you an article the other day or an op ed where I was, like, very frustrated with the premise, which was this exact premise. And, I I do as you know, I fundamentally disagree with that approach. Do I think we should be using AI as a tool to support teachers and to support students? Yes. But I think we're just, retreading the the old way of thinking about schools. And let me just start, Michael, and say, like, I in this conversation, I'm almost exclusively gonna be talking about high schools because I think elementary schools are quite different. And and, you know, so if we get into elementary school, let's note that specifically. But for me, I'm very much thinking about high school, maybe middle school as well, but older, students. And I just think that the world is going in a direction for many, many, many reasons where they need to be owning and driving their own education. Of course, this is not unique for me. I've been doing this for a couple of decades at this point. This is my fundamental belief. There's such a downside that we are not focused on how we enable students to own and drive their own learning, and AI is such a game changer, I think, potentially direction. It can help us do things we've wanted to do and can't do, and we're completely missing the mark when our total focus is on the teacher and how this is a tool that we're gonna build for teachers. No. That that's a helpful and right out of the gates, we know where you stand. I'm gonna try to make the argument for the teacher facing up front, and then you can throw cold water on me afterwards if you'd like. But let but let me try it, and and maybe the way I will try it, though, is more to explain it about why I think the phenomenon is happening. And so number one, I would say on the why is AI better for teachers than students, say, false dichotomy, but let's go with it. I think part of the approach is, look, AI hallucinates all the time, it makes mistakes, and, these tools are better in the hands of experts rather than novices who can, you know, catch those mistakes and correct them in some ways. So number one, there's sort of like a risk aversion approach to it. And so and and I think this you know, we we could probably contradict this in certain ways, but I think the AI, like, as risk to students is maybe driving some of this number one. Let me let me quickly add on that that I do think that there is something to it in the sense of AI when used by Amazon to get you to buy something that maybe you've looked at online. If they move the dial point zero zero one percent, that is serious dollars to their bottom line. And if they alienate you, they don't really care. Right? Whereas in education, I think the argument would be if we actually mislead a student or, you know, tell them a narrative about themselves that is gonna mislead them in some you know, like, we could do deep damage to their self efficacy, and and and and sense of self and even their agency, right, down the line. And so that's the reason for a teacher facing perspective. Maybe let me pause there before I go to the other two reasons because I I that was that's like a meaty set of claims that I think you should engage with first. Well, I think you're uncovering one of the challenges that we have in education right now, which is just a real lack of imagination about what is going to be possible because of AI. And so I think that, most many people, most, I don't know, a lot of people at this point have logged on to, you know, ChatGPT or one of the others, and they've typed something in that little box maybe a few times, and they've had or they've read articles about the these hallucinations. But in many people's minds, like, that is what quote AI is. Maybe some people now are playing with notebook l m from Google and, you know, one of the really amazing things I think is that, you know, it will produce a podcast. It's pretty it's pretty remarkable. A little over engineered, but pretty remarkable. And it is, like at first, it's, like, pretty mind blowing. And then when you actually start to listen, yes. It's getting all the right words. I did it the other day. Someone, like, loaded a chapter from my book into it, and then it produced a twenty two minute podcast, man and a woman talking. And I was like and they were like, is this the conversation you and Michael would have had about your book? You know? And, like, there's pieces of it. Yes. But it's not us. It's not human. It is. It's like literally going. It's read what is on the page, and then it's like making it sort of bringing it to life. But there's no thinking and nuance and dynamism there. Anyway, all my point is that that's not, you know, that product is the is one of where they've taken what's underneath it, the AI, and they're actually turning into something that is more user facing. So my assumption is that we've only just begun to see what's possible. And so this idea that, like, is that, like, chat box gonna revolutionize learning for kids? No. It's not. But that's not what we're talking about here. We're talking about as a tool embedded in really well designed experiences, in my view, products that will move the needle. And so, I think you you minimize or eliminate those risks that you're talking about when you build it in thoughtfully. Certainly, that's what we're doing on our team. And so Well, and you're leading with the product design as opposed to the AI, which is also a difference. Right? So let me say the second reason I think that we're seeing a lot of teacher facing things, which is that, frankly, relative to today's classroom, it does not require redesigning today's classroom. It is in our language a sustaining innovation relative to today's classroom. And let's be honest, that's where the market is. Right? As in if you're looking for volume, it is not in I mean, yes, microschools are taking off, but there's still a small percentage, right, of the education landscape Right. Certainly in the US, even more so in the world. And so teacher facing sort of as gateway in teacher directed instruction, is where the market is. And, frankly, most VCs, when they enter a market, they have a five to seven year time frame to get out of the investment. They're looking for unicorns within that, and that pushes you to where the dollars are, not where perhaps the puck should be going. So I think that's the other thing driving this dichotomy, if you will. I think you're right, and I think this is the the, problem we consistently have every time we think something might help us transform schools. Right? Is that, the it gets it get the gravitational pull back into the box, the box of the school, the box of the classroom, the box of the teacher, the box of the course. It just all the pull back to that is so strong, and every time people try to unbundle it or disrupt it, we've had many conversations about that. You know, there's a few outliers who sort of make it outside of that, you know, planet orbit gravity. I spent a lot of time with a lot of them last week, and it's very exciting and inspiring lithium. And then you get back to the mass market is all still living inside that box. And so so, I mean, this is where I just feel like I feel like I can't help but get hopeful and excited, but I'm a little bit worried that I'm gonna get my heart broken yet again, about the potential changes that we might see because that's what I want to have happen. I actually wanna break apart that model and change this to be, an a learning experience at least at the high school level where kids are truly driving their own learning and and learning in ways that is much more, customized and personalized for them. And let me just be super clear, that does not mean they're learning alone. This is still very group oriented. It's actually quite real world oriented, and and that's what I think is possible. So, But it's not to say, let me just modify this before we jump to where you're going, which is I I think you'd agree, there are plenty of low hanging fruit use cases to, like, to to improve, right, teacher practice with AI, whether it's better lesson plans, more diverse ways of reaching different student needs, etcetera, etcetera, etcetera. Frankly, assessment probably to get more real time information where your students are or or how they're doing to or or simplify a teacher's workflow. Yeah. And that might be the the middle ground here. You know, I was the other day, I was sitting there thinking through how can we disaggregate the role of the teacher and, what does AI enable? This could still exist in the box model of you know? But I do think it would be an improvement. So if we think about all the hats a teacher wears, which are impossible, the job's impossible, as you know. I know everybody knows. The feedback we're getting from the market is it's impossible because no one wants to do the job anymore. People will get mad that I said that. That's not true. Some people wanna do the job. But he here's the job. So one, you are and these are the main things that teachers think about and people think about. You're planning your curriculum and your lessons and you're delivering them. There's a real argument that AI that a single individual teacher should never be planning their own curriculum again ever, ever, ever, ever. It's, like, not time well spent. It will never be as good as what can be done, you know, more globally and with all the learning science and expertise that we have. And even quite frankly, the delivery of a lot delivery of it a lot is not personalized and individualized. So that could very much be, you know, AI driven, technology driven. Then there's feedback and assessment. So I'm giving you, like, feedback. I know you've been grading some papers and, assessing work. And again, like, again, we've done this for a decade plus at Summit where we took most of that off teachers' plates, and the technology is absolutely capable of doing this now and and better, quite frankly, than humans. And so if we take that, that's like the core of what most people think the teacher's job is. So what's what's left? And it's the very human things, the things that I would argue matter. It's the coaching and the mentoring of students. It's helping them to figure out how they're going to like sequence their learning pathway and what comes next and what happens when they get stuck and they need actual help in where they're going. And so that coaching, that sequencing, that facilitating certainly a role in facilitating group learning and really cool real life learning experiences and giving real time feedback in those settings. There's the social emotional part of this. Like, how do you how do you become a person who understands a morning routine and actually, you know, knows how to manage your emotions and your relationships and all of those sorts of things? And then, of course, there's, like, custodial care. That's for younger, but to some Yep. Extent, older. Yeah. None of those things can be disrupted by AI. I do not believe. And for a lot of teachers, it's the stuff that brings them real joy, and it is really impactful for young people. So I think maybe the in between is a disaggregating of that role of the teacher. If I saw products moving in that direction I'd be excited. I'd be happy. That that would be so for all those listening, that's the sustaining path we would like to see happen. And here's the disruptive argument. Let's get student facing here, right, and student centered. And and I think that is the argument. Right? Is that, yes, tutoring today or student facing tools, and I'll get into the second use case in a second, but, like, the more narrow ones first. I've seen all sorts of critiques, and I think we'll get some of them, on on the podcast as we go through this series around how it's not you know, it's yes. Maybe procedural knowledge, but not, like, the in-depth really emotion driven, right, learning, pieces and and other things of that nature. And it makes errors and, you know, right, all all all the rest. The Wall Street Journal has done a few hit jobs on things and so forth. But if you get into nonconsumption where the alternative is nothing at all, I don't have access to it, tutor, if I'm, you know, however many millions of kids in the United States, let alone the world, clearly better than the alternative, nothing at all. There are some very interesting places to launch student facing applications in that area, number one. And number two, I think the argument for it and I think this is where you also might be going, is I see it as lifting the quality of work of what students are doing because AI now is a tool of work, just like we use it in our workplace, to better so that they can create more in-depth, more exciting, you know, things, right, with spending a little bit less time on some of the mechanics and more time on the depth, if you will, of learning and and evidence, right, in in the product or performance or whatever they're creating. And I'm being somewhat vague because Yeah. Trying to capture all the possible use cases, one could imagine depending on what subject or grade you're imagining as as we're talking. But I think that's the other area is that, like, the sense of agency for kids, where they can actually build professional level stuff as they're exploring Yeah. Has just taken a big step up. And it's not to say that they don't have to learn the knowledge and application and skills. They do. But then using AI to level up all of that is pretty interesting, I think. So go ahead. Yeah. Let's talk for a minute, Michael, about the broader context and why because I think it's so relevant here, about what's going on, I think, in the world that why this matters. So so number one, it's unequivocal. I just spent last week with people from the left and the right and like everywhere in between. And there's a there is an incredible agreement around the idea that school needs to be real world. It needs to be preparing young people, especially high school, for the real world, for jobs, for employment. It it can't be sort of this, like, theoretical, you know, thing anymore. And it's not preparing them for that. It's not preparing them with what I would just call basic professional skills. Like, how do you actually, like, be an employee? How do you show up on time? How do you have agency? How do you do these things? And and it's it's not actually if it's not incorporating AI and how you use that in real work, it's not gonna be preparing them for the future that they're walking into. And so I think that is happening. There's a real move towards, you know, CT, you know, career and technical education as we know. We've got, S's coming on in multiple states where people are gonna be able to sort of more pick and choose their education. So you've got a lot of stuff happening where people are like, I don't want to sit and get anymore. And where it's not going to serve me to just sit there and take direction and then wait for you to tell me the next direction. And so I think what you know, do I think it's a a chatbot that's tutoring me? You know, I think that's super rudimentary. I think there's so much better stuff coming, but you gotta start somewhere. And I think that what's more important to me is that, like, it's it's breaking this dynamic of, like, twenty five or thirty kids in a classroom, like, waiting on instruction and the slowness of it and the in exactitude of it and the and, so it's moving us towards, like, this is the world we're going to and how we're going to. Is a really particularly interesting place I'd love to, like, pick up on because I see the same thing. No surprise, perhaps, in that one. We've been pretty clear that more connection to real world is important. I also think the ability to codify and create, like, standard curriculum, given the fast changing nature of real work, is gonna be a fool's errand. And so that pushes you more and more in the direction you've been around experiential. Right? And so, as a result of that, like, that's gonna be doing, which means not like, you can't be waiting on the sort of the one scarce resource in the classroom to come over to you, unlock the lesson plan for you, and then you're allowed to go learn, that that that's not gonna be the model that engages or or or works, frankly. And so it's everything from knowledge acquisition to exploration. On the one hand, we'll put that, like, as a big bucket, right, to actually, engaging with, connecting with, and then doing the work. And AI is a really interesting portal, I think, into all three of those, I guess, is the way I would think about it, whether it's up leveling the quality of resources on the front end or, frankly, up leveling the level of work that young people are able to do, and they're showcasing of that and problem solving to real professionals and getting real feedback on it. Well and I think this is so critical, Michael, because one of the things we're seeing in the job market for, you know, post high school graduates, post call college graduates is, and one of the things AI is doing is is sort of competing with or removing those kind of entry level. So no one wants to hire someone who doesn't have experience anymore. You you know, almost every job says you need a couple years of experience. So how are young people supposed to get experience? Well, their education is going to have to incorporate experience, if you will. It has to be experiential. It has to be a place where they're going to be able to make the case that even though I just finished learning in some, you know, degree or credentialing program, I have experience. And so the the act of learning and getting feedback and producing products has to be much more real world experiential if they're gonna have any hope of getting a job. This isn't an AI point, but I just I'm I love that we're getting away from credential based hiring and that skills based hiring is a phrase, but I think I find it overly technocratic and a sense that we're gonna be able to define skills in narrow ways. And the word you just used, experience, to me is the way to think about it of experience based hiring. And the way you show you can do and step into a job is through the experiences you've had where you've done that. And if we believe Right. Let's go to the equity question. If we believe we wanna give everyone a chance at that, school has got to be providing it because otherwise Hopefully. My kids are gonna be able to find those opportunities, but a lot aren't. And so I think schools are gonna need to be a long time ago, there was a professor either, I think, UCLA, but maybe USC, and and you can correct me if I'm wrong. But, and he wrote about how, like, schools of experience were the right way to hire people to see, like, you know, have you led teams, have you etcetera, etcetera, as opposed to, like, gee, Diane built a great product by herself. Now we want her to be a manager. Two totally different sets of of of skills underlying that. Forget about naming the skills. Let's just look at the experiences themselves and say, like, how'd you do? What what lessons did you learn? What would you do next time? How does it equate to the culture here? Those are the sorts of questions and conversations I'd love us to be having in hiring. And so what you just said, I think, makes a lot of sense for the schools to be stepping into that. And the challenge, right, if we stay with our teacher centered model, is that to ask teachers to sort of be the font of all of that is is crazy. It's not even it's not even possible by definition. They know each other. You know, they they are they're they're waiting on the student is waiting on instruct. It's not preparing them to be productive. Oh, no. And it's not even neutral anymore. It's negative because the incentive system in our traditional schools is actually counterproductive. It's creating behaviors and incentivizing behaviors that are are counterproductive when you're going into the real world. And so and I would argue the learning isn't even that great. So it's not like they're coming out as masters of math or, you know, and and on top of it, that the skills I mean, let's just go back in time for a moment. We talk a lot about the industrial model and wanting to move away from industrial model schools. But I think some of the things that people forgot is the design of the industrial model school was actually preparing people for the industrial model economy. Factory. Like, you showed up to a bell. You moved on a bell. You you produced work at a rate and a speed in a way that was gonna be very real world, very comparable to what you were going into. And our schools look nothing like workplaces at all anymore, and they're not preparing young people for all of those pieces Yeah. Of it. No. We're we're going off AI, but I'm gonna make one more point and then maybe we'll bring it back, which is I actually think when people think about higher education also, and they're like, oh, the rarefied university experience that I want all fifty five million people for some reason to have that is, you know, Harvard or whatever else. They forget that that is also a vocational experience, which is to train people for the professoriate down the line to prepare them to get masters and PhD degrees. So for what it's worth Right. I think it all has echoes to your point of the world into which you were trying to prepare individuals, and that world has changed. Totally. And I think that AI becomes a tool because I think a lot of the objections to changing this model, if you will, the box model, the classroom, the school building, etcetera, has been, like, how? Like, how can we actually do that? We have, you know, fifty five million people in the schooling system. There's a huge operational component. It did like, how do you actually do that? And I do think that AI brings us a new set of tools in a very meaningful way if we deploy them properly, not properly, if we deploy them in, you know, interesting, smart, visionary ways, that that make that more and more possible. Maybe let's leave the conversation there, and I'll put out one more question that I'm really interested to get from folks, which is when we're gonna talk to people who are skeptics, who are optimists, probably in between. And the questions that I'm curious about are many, but one of them on what you just said is, like, how does it maybe make certain things that we thought were important historically less so in the future? Like, yes, it might ruin the ability to do x, y, and z because AI is gonna do it, but also that thing is no longer that important either as an artifact anymore. And where is that not true? Where is it gonna ruin that thing that actually still really is important? How do we think about that? I I I'm curious to hear what people think. I'm curious about that too. I also will just put an invitation out, Michael. You know, we're gonna do this for a little bit, and we've got certainly a list of people we wanna talk to and a list of questions. But we always love hearing from listeners. And so if there are people or questions you are curious about, send them our way, and we'll do the best we can to the tech team for a job. Leave it there. Lots of, lots of energy around where we want to see AI solve problems. And let's flip as we always do to what we're reading, listening, watching, basically anything outside of our day jobs. What's on your list, Diane? Well, I have one that's legitimately outside of my day job. As opposed to this, I'm rereading this, yeah. Okay. Exactly. Which is, the diplomat season two. And it's just so great. Need to get on that train. I really I for a variety of reasons, I know I would like it. So, I will try to catch up to you. Mine is less, is is not actually divorced from my work. I'm reading student papers nonstop right now. The AI I've tried a couple AI tools, Diane, that grade. I will tell you they don't because they don't understand context and the content knowledge. They're very good at telling me, you know, grammatical things. I am not an English teacher. I don't I literally don't care as long as I it communicates the point in this particular case. So, as a result, it's still manual labor for me for the next, few days. Well, I'm so sorry. I hope that ends. No. All good. Some of them are great ideas, and I'll I'll hold to those. But, for all of you listening, thanks as always. We look forward to hearing from you, look forward to hearing your thoughts about who we ought to talk to, what we ought to learn from. We're excited to do this and do a deep dive on AI with all of you. Thanks so much, and we'll see you next time on Class Disrupted.
About the author
Michael Horn speaks and writes about the future of education and works with a portfolio of education organizations to improve the life of each and every student. He is the co-founder of and a distinguished fellow at the Clayton Christensen Institute for Disruptive Innovation, and host of the Future of Education podcast on MarketScale.