Method & how it works
Ainstein connects purposeful projects, focused practice and learning with peers. Children use AI to attempt ambitious work, build the knowledge it requires and learn to make decisions they can explain.
Problem-based learning begins with a question. Students work out what they need to learn, bring different perspectives to it and use their new knowledge to make progress. AI expands what they can attempt; mentors help them build the understanding and judgment the work requires.
Start with something the child wants to understand, make or improve. A mentor helps turn the interest into a question with an achievable first step and room to grow.
The group shares what it knows, compares assumptions and names the missing knowledge. Reading, maths, science and other subjects enter because the problem needs them.
Students research, practise, ask peers and use AI to explore possibilities. They decide what to ask, check important claims and seek help when they cannot yet judge an answer.
Build a model, write a story, create a tool or try a design. Compare what happens with what you expected. A failed attempt gives the group something specific to investigate.
Students show their working, teach what they have learned and respond to different perspectives. They explain which suggestions they used and why they changed direction.
A mentor helps the child recognise new strengths and remaining gaps. The child takes more responsibility for the next question, the next decision and the help they need.
The idea your child began with, a sketch or early attempt, the part AI helped with and the choices your child made. Alongside the result, their explanation shows what they learned and what they would do differently.
A short “Today I learned” exchange gives each student a chance to teach something useful. Working through decisions and mistakes together lets children learn from one another’s experience.
With younger children, a mentor helps frame the question and guides use of the tools. As students become more capable, they take on more open-ended questions and greater responsibility. See an illustrative schoolyard project.
The method
Ambitious projects draw on secure knowledge. Focused practice gives children the reading, maths and other skills they need to contribute. The plan follows their attempts, and mentors check that they can recall, explain and use what they have learned.
A 45–60‑minute diagnostic maps what is secure, what is fragile, what is missing, and which later skills depend on it. The learning plan begins from this map.
The Socratic tutor asks the student to reason first, then gives the smallest useful hint. Each response adds evidence to the mastery map.
Mistakes become useful information. The system identifies patterns such as “sign flip” or “plants eat soil” so practice can address the idea underneath the error.
Reviews return after 1, 3, 7, 14, 30, and 60 days. Retrieval after a real delay shows whether the learning is becoming durable.
Students solve aloud, teach the idea back, answer questions, and try it in a new context. Peer challenge makes the reasoning visible in a way a completed exercise cannot.
The mentor reviews the original attempt, corrected work, explanation, responses to peer questions, and a transfer task. Mastery is recorded when the evidence shows that the student can retrieve, explain, and apply the idea.
The daily rhythm
The mix follows the age band, like everything else here. Younger children get shorter Socratic rounds and extra peer teaching in their place: showing and explaining come before debating.
Connected thinking
That one question is biology, chemistry, physics, and art at once. Ainstein follows the question across subjects because that is how knowledge behaves outside a timetable.
Twice a week, small seminars chase questions that don’t fit in one drawer. Nobody says “that’s not this class.” The mentor asks: What do you notice? What doesn’t make sense? What would happen if…?
Daily tasks deliberately alternate subjects, math next to Spanish next to biology. The switching feels harder, and that’s the point: recall gets stronger, and connections form where subjects meet.
Portfolio and capstone work pulls from several subjects at once: research it, calculate it, build it, write about it, defend it out loud. Because that’s how real work actually works.
Founding families
A 20-minute conversation about your child, the learning model, and the clearest next step.