Product

EdSutra Studio is now open to everyone

By Dr. Sai Gattupalli · · 4 min read

EdSutra Studio's public release: a simulation-based AI literacy curriculum for ages 11 and up. Module 1 is free; the full studio is one purchase.

EdSutra Studio's Story Map: a 3D island where each clearing is a module of the AI curriculum, from AI Foundations to Intelligence Management, with a small numbered island for every Unit, joined by bridges. Module 1's islands are lit up as finished.
EdSutra Studio's Story Map: a 3D island where each clearing is a module of the AI curriculum, from AI Foundations to Intelligence Management, with a small numbered island for every Unit, joined by bridges. Module 1's islands are lit up as finished.

Today EdSutra Studio opens to the public. It is a complete AI literacy curriculum for learners aged 11 and up, from middle school onward: 9 modules and 44 Units, a set of open-ended Labs, and a 3D map of the whole course. It runs in an ordinary web browser, with nothing to install and no account to create.

This note sets out what is available, the premise behind it, and the commitments we make to the families and schools who use it.

What is available today

The premise: literacy as the capacity to examine

Literacy has always meant more than familiarity. A literate reader can ask who wrote a text, for whom, and to what end. AI literacy asks the same of a system: what it was trained on, what it was built to optimise, and where it is likely to fail. UNESCO's AI Competency Framework for Students (2024) describes a progression from understanding AI, to applying it, to creating with it, and it insists that the technical and the ethical are learned together. We read the framework closely in an earlier essay.

EdSutra's answer is simulation. Each Unit is a working model the learner operates, not a video to watch or a page to read. A Unit opens with a role (Training Inspector, for example) and climbs Bloom's taxonomy inside that one world: Remember, Understand, Apply, Analyse, Evaluate. Each step opens only when the learner has shown evidence in the step before. Creating happens in the Labs.

A learner should leave each Unit able to say not only what an AI system did, but why it did it, and what it would take to make it fail.

A first hour in the studio

We suggest starting with How Machines Learn, which is open from the first visit. The learner trains a machine to sort cookies, watches it pass its test, and then watches it fail on cookies it has never seen, because it learned a shortcut in the data rather than the rule anyone intended. Researchers call this shortcut learning. Learners usually call it unfair, and then they work out why. That moment, a prediction overturned by evidence, is the method of the whole curriculum.

How Machines Learn: a 3D cookie-sorting machine with the six Bloom stages, Remember to Create, across the top.
How Machines Learn: the learner trains a cookie-sorting machine, then finds out what it really learned.

Along the way, learners have company. Ada, a small pixel cat named after Ada Lovelace, celebrates finished Units, offers a guided tour, and points to the right Unit when one is not open yet. She is not a chatbot: every line she says was written by hand. The research behind her is in why our learning companion is a cat.

Four commitments

For families, homeschools and schools

Families can begin with Module 1 at no cost and decide afterwards. Homeschool families will find a suggested pace on the homeschool page, and the studio can be given as a gift. Schools and districts can arrange classroom licences, purchase orders and pilots through our schools team. The studio runs on desktop and laptop computers, including Chromebooks; it is not designed for phones.

The Labs page: a "Build with real AI" header with floating Lab icons, then the Computer Vision Lab featured, running its Face Constellation example.
The Labs: open-ended workshops where learners build with real AI, starting with the Computer Vision Lab.

What comes next

The curriculum will keep growing: new Units, new Labs, and applied tracks such as cybersecurity, sold separately when they are ready. Every change is recorded in the public changelog. We will also publish the reasoning behind the design here, beginning with an essay on Ada Lovelace and the first question of AI literacy.

If something does not work as it should, or a learner surprises you with what they worked out, write to us at help@edsutra.com. We read every message.

Open the studio and start with AI Foundations. It is free, and the first machine that is confidently wrong is only a few minutes away.

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