In the Age of AI, What Is a Teacher For?

As artificial intelligence learns to tutor, explain, assess, and personalize, schools are confronting a surprisingly old question: What is education actually for?

For most of modern schooling, the teacher has stood at the front of the room.

Twenty or thirty students sit before her. She explains fractions or photosynthesis, introduces the causes of the Peloponnesian War, assigns a chapter, answers questions, gives a test, and begins again. The arrangement is so familiar that it can feel less like one model of education than education itself.

Artificial intelligence is beginning to unsettle that assumption.

Today, a student can ask an AI tutor to explain a difficult concept five different ways, generate another practice problem, adjust the difficulty, provide immediate feedback, or patiently repeat an explanation without worrying about the twenty-four other students waiting in the room. In a 2025 randomized controlled trial at Harvard, 194 undergraduate physics students learned significantly more in less time using a carefully designed AI tutor than students receiving an active-learning classroom lesson covering the same material. The students using the tutor also reported feeling more engaged and motivated. The researchers were careful about what they demonstrated: a particular tool, teaching particular material to college students. But the experiment offered a glimpse of something education has rarely been able to provide at scale—the responsiveness of individual tutoring.

If a machine can increasingly do that part of teaching well, an uncomfortable question follows.

What, exactly, is the teacher for?

The Two-Hour School Day

Few schools have pursued that question as aggressively as Alpha School.

Alpha's model has attracted attention for what it calls “2 Hour Learning.” Students complete core academics during a concentrated morning block using adaptive technology that places them at an individualized level and pace. Alpha says its students can accomplish considerably more academically in those two hours than they would in a conventional school day, although its headline achievement claims are primarily based on data reported by Alpha itself.

What is perhaps more interesting than the two hours, however, is what happens during the rest of the day.

Alpha hasn't eliminated adults. It has changed their job.

Teachers become “guides.” Rather than spending most of their time lecturing, grading, or writing lesson plans, Alpha says its guides concentrate on motivation, mentoring, goal-setting, emotional support, and life skills. Afternoons can include entrepreneurship, public speaking, leadership, collaborative projects, physical activity, and creative problem-solving.

Whether Alpha's precise formula ultimately proves broadly replicable remains an open question. But the model is forcing schools to confront something larger than Alpha.

For generations, schools have bundled many different functions into a single word: teaching.

A teacher explains information. But she also notices.

She notices the child who understands the material but has stopped trying. She notices when curiosity flickers across someone's face and knows to ask one more question. She recognizes the difference between confusion and laziness, perfectionism and excellence, confidence and bravado. She knows when to provide an answer—and when withholding the answer is the better lesson.

Technology may be getting extraordinarily good at the first job.

That could make the others more important.

Information Is No Longer the Scarce Resource

For much of human history, knowledge was difficult to obtain. Books were expensive. Experts were inaccessible. A knowledgeable teacher represented access to a world a child could not easily reach alone.

That world has vanished remarkably quickly.

The challenge facing today's student is increasingly not: How do I find information? but what deserves my attention? Is this true? What does it mean? What should I do with it?

The OECD has begun framing the arrival of powerful AI in similarly fundamental terms. Its recent work asks whether education systems need to reconsider not merely how students use AI but which human competencies schools should cultivate in a world where machines can perform an expanding range of cognitive tasks. Its 2026 Digital Education Outlook argues that AI should enrich learning without replacing the cognitive effort or human relationships learning depends on.

That distinction matters.

Completing a task is not the same thing as learning.

A student can use AI to produce an elegant essay without becoming a better writer, just as a calculator can produce the correct answer without teaching a child arithmetic. The OECD warns that general-purpose AI can make students more efficient at producing work while allowing them to bypass the intellectual struggle through which understanding develops. Students need enough knowledge of their own to evaluate what a machine gives them.

In other words, the age of AI may make old-fashioned knowledge more important, not less.

You cannot think critically about something you know nothing about.

And that is one reason the classical tradition suddenly feels unexpectedly contemporary.

Homer and the Algorithm

A classical education begins with a rather unfashionable premise: some things are worth knowing even if their immediate utility isn't obvious.

Students read old books. They memorize. They encounter history, literature, philosophy, mathematics, science, language, Scripture, art, and music. They enter conversations that began long before they arrived.

The goal is not simply to accumulate facts. It is to furnish the mind.

A child who has encountered Achilles and Priam, Charlotte and Wilbur, Heidi and Grandfather, Scripture and history possesses reference points with which to interpret new ideas. The student has something against which the endless stream of information—including information generated by AI—can be measured.

But preserving a classical foundation does not require pretending that the world has stopped changing. That would misunderstand tradition itself.

The interesting educational question of the next decade may therefore be not whether schools should choose Homer or artificial intelligence, but what happens when students grounded in enduring ideas are also taught to use extraordinarily powerful new tools.

And then to build something with them.

From Knowing to Making

This is where STEM, design thinking, and maker-centered education become important—not as replacements for the humanities, but as companions to them.

Design thinking asks students to identify a problem, understand the people affected, imagine possible solutions, build prototypes, test them, fail, revise, and try again.

Maker education puts those habits into physical form. Something must actually work.

The emerging research is promising, although the field is still developing. A 2025 review of 40 empirical studies found significant educational potential for design thinking in K–12 schools while also noting the need for more rigorous empirical research. A separate 12-week study of seventh graders found that integrating design thinking into maker education supported several dimensions of creativity.

This kind of learning feels refreshingly resistant to automation.

A bridge either holds weight or it doesn't. A prototype solves someone's problem, or it doesn't. A group of students must negotiate competing ideas. Someone has to pick up the materials. Someone has to explain why the design failed. Someone has to begin again.

The scholar moves from a consumer to a creator.

And perhaps that is one of the most important shifts schools can make in the age of generative AI.

The danger is not simply that young people will use AI. They certainly will. The greater danger is that they will become passive operators of systems that think, write, design, recommend, and decide for them.

UNESCO has framed this concern in terms of human agency, warning that overreliance on AI can diminish the cognitive effort involved in critical thinking and problem-solving. Its alternative is not technological abstinence but purposeful use: educating young people to remain creators and decision-makers rather than surrendering agency to the tool.

That requires a different kind of classroom. Students need opportunities to read and discuss—but also to design and build. To memorize—and to imagine. To understand the past—and to make something the past could not have imagined.

The Teacher Returns

Oddly enough, this technological revolution may bring education back to a very old idea of the teacher.

Not the teacher as information-delivery system. The teacher as mentor.

Classical Academic Press's The Good Teacher, which explores ten principles of classical pedagogy, makes a striking distinction. Good teaching is not primarily a collection of techniques. It begins with the teacher's character and intellectual life. The principles the book emphasizes include wonder and curiosity, embodied learning, good books, conversation, friendship, repetition, and the idea that we learn through teaching others.

These are conspicuously human activities.

AI can generate a Socratic question. It cannot care what the answer reveals about the child sitting across the table. It can suggest a project. It cannot stand beside a student whose prototype has failed for the fourth time and know whether this is the moment to intervene or the moment to let frustration become perseverance. It can recommend a book. It cannot live a life that makes a student want to become wiser.

This is why the debate over whether AI will “replace teachers” may ultimately prove too simplistic.

It may replace some things teachers have traditionally spent their time doing.

And that could force schools to become much more intentional about the things teachers ought to be doing.

The OECD's recent “Teaching Compass” describes teachers increasingly as adaptive experts and co-designers of learning rather than mere curriculum deliverers. It argues that technological change could actually expand teachers' agency if technology frees them to devote more attention to mentorship, judgment, relationships, and richer learning experiences.

That sounds less like the disappearance of the teacher than a recovery of the teacher's oldest role.

Entrepreneurs of Culture

There is another reason this matters. Every education produces a particular kind of person, but the question is whether it does so deliberately.

A school built entirely around efficiency might produce students extraordinarily adept at getting correct answers. A school centered entirely on inherited knowledge might produce students who can explain the world but hesitate to change it. A school chasing every new technology might produce students skilled with tools but unsure what those tools are for.

The challenge is integration.

Young people will need knowledge deep enough to resist manipulation, judgment strong enough to use technology wisely, creativity sufficient to imagine what does not yet exist, and practical competence to bring an idea into the world.

They will need to inherit culture—and they will need to make it.

That is the possibility at the intersection of classical learning, STEM, design thinking, maker spaces, entrepreneurship, and artificial intelligence. These do not have to be rival educational philosophies competing for hours in a school day. In the right order, they can answer different parts of the same human question.

What is true?

What is good?

What is beautiful?

And then:

What are you going to make because of it?

At Innovate, That Question Isn't New

At Innovate Academy, we have always believed education should engage the head, heart, and hands.

Long before AI forced schools to reconsider the role of the teacher, we deliberately called ours Mentors. Like the “guides” now attracting attention in models such as Alpha School, their role was never intended to end with delivering content. A Mentor knows the scholar, asks questions, cultivates curiosity, helps identify strengths and interests, and walks alongside a young person as knowledge becomes wisdom—and eventually action.

Nor is “making” a new addition to our model.

From our earliest years, Innovate scholars have learned coding alongside classical subjects. They have built businesses through BOSS Club™, pursued hands-on projects, engaged in service learning, explored individual interests through personalized learning plans, and been encouraged to see themselves not simply as consumers of culture but as its future creators.

Now we are becoming even more intentional about that integration.

This year, we welcomed Teresa Appleby, whom you'll meet in this issue's Mentor Spotlight, to help deepen STEM and STEAM, design thinking, hands-on learning, and a maker mindset across our culture. The goal isn't to trade books for robots or classical education for the newest educational trend. It is to give scholars more opportunities to take the knowledge, imagination, and wisdom cultivated through a classical Christian education and put them to work.

That same philosophy is shaping our growing Upper School model. As adaptive learning and artificial intelligence make greater personalization possible, we can preserve what deserves to be preserved—the Great Books, Socratic conversation, deep knowledge, Christian formation, meaningful human relationships—while reconsidering the parts of conventional schooling that no longer need to look as they did a century ago.

In that sense, the educational conversation may finally be catching up to a conviction that has shaped Innovate from the beginning.

We don't want scholars who can merely recite what previous generations have known. We want scholars who know enough to discern what is true, love what is good, recognize what is beautiful—and possess the courage, creativity, and practical skill to make something of it.

Because technology will change. The tools will change. Even the classroom will change. But the work of forming a whole person—head, heart, and hands—will not.

It has always been part of our culture. And it always will be.