Agents in education

AI agents
for learning.

A learner agent can tutor without handing over the answer. A teacher agent can notice who is stuck and still leave the decision with the educator.

Learners collaborating in a bright AI learning studio

Agents in the room

01

An agent should widen a learner's judgment, not replace it.

An education agent is software that can hold a goal, use tools, and take a sequence of steps. In a school that might mean tutoring one learner, preparing a lesson for a teacher, or coordinating several roles across a class. NexEd explains those uses, and the limits that keep a person in charge.

A learner agent should know when to hint and when to wait. A teacher agent should draft, retrieve, and summarize without making the instructional decision. A classroom system of agents needs memory, tools, and a privacy boundary a family can understand. Speed is the easy product. Judgment is the one worth studying.

Three programs carry that work. Learning Copilot is a learner-facing agent. The AI Literacy Index names what students and teachers need to understand about agents. Classroom Observatory is a teacher-facing agent for participation, confusion, and momentum.

The theory and the technical explanations are published as they are ready. Read the journal, or start with the latest writing.

Where agents belong in learning.

We study a learner working with an agent, a teacher reading the room, and the language both need when an agent is in the lesson.

A facilitator and learners exploring a shared visualization in a future learning studio

From the lab · Field collaboration

Agents are studied with learners in the room.

We prototype with teachers and students, then write down what an agent should do, refuse, and explain.

The agent leaves the human in charge.

01

The learner still decides

An agent can hint, retrieve, and wait. The learner keeps the question, the revision, and the idea.

02

The teacher directs the agent

Planning, feedback, and classroom signals are drafts for an educator, not decisions made past them.

03

The classroom is not a dataset

Memory, tools, and traces stay inside a limit a school can explain.

Writing and research, published as it happens.

Enter the journal

Column

Field notes

Short observations of agents in classrooms, prototypes, and conversations.

The first piece in this column is still being written.

Column

Essays

Longer arguments about AI agents, teaching, and learning.

The first piece in this column is still being written.

Research

Research

Studies of agent systems in education.

The first piece in this column is still being written.

Let's learn
what's next.

We work with educators, schools, and researchers who want AI agents in the classroom to deepen learning, and who want those agents to stay accountable to the people in the room.

nexed@nexed.site