About the project

Learning to direct what technology can do.

Agentic Coding Studio explores how young people can create with AI-supported coding agents without giving up the judgment, curiosity, and responsibility that make the work theirs.

NSF-supported researchUCI Digital Learning LabInformal STEM learning

The opportunity

When making code becomes more accessible, learning does not become automatic.

Coding agents can help translate natural-language goals into computational work. That may lower some barriers to starting—but access to a capable tool is not the same as knowing how to use it well.

Young people still need to decide what is worth making, express intent clearly, judge whether a plan makes sense, test whether a project behaves as intended, and revise it when it does not. The project treats these as central learning practices, not steps to automate away.

Computational agency

Purpose, judgment, and creative control.

Computational agency is the capacity to use computational and AI tools intentionally, critically, and creatively while remaining responsible for goals and decisions.

Set the direction

Learners pursue ideas and purposes that matter to them.

Question the output

Generated work is something to inspect and critique, not accept automatically.

Use evidence

Testing, debugging, and feedback inform the next decision.

Own the result

Learners remain accountable for what a project does and how it develops.

AI is a collaborator within a learning process—not the authority and not a replacement for learner thinking.

A shift in productive struggle

From syntax alone to a wider design process.

Agentic coding can shift attention toward defining goals, planning, prompting, evaluating, testing, debugging, revising, reflecting, and making design decisions. Technical ideas still matter; learners encounter them through the work of directing and improving a computational system.

Why informal STEM?

Learning environments built for exploration.

Afterschool programs, camps, libraries, community organizations, and creative technology programs can offer flexible, interest-driven contexts for this work.

These settings make room for personally meaningful projects, collaboration, educator coaching, and multiple pathways through a challenge. The project investigates how those conditions shape participation and learning.

Project resource

Read about the NSF-funded project.

Explore the motivation, research design, planned development, and collaborators that ground this work.