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Our K-12 AI pathway

Our K-12 AI pathway

A comprehensive, project-based curriculum for hands-on AI learning.

What is Discover AI?

What is Discover AI?

Discover AI is the Qubits AI pathway: a purpose-built curriculum system with one self-contained, assessable course per grade from KG through Grade 12, delivered on the Qubits Learning platform and aligned to national AI literacy frameworks.

Pillar 1

Opening the black box of AI.

Students learn how AI is actually built: training models, working with data, evaluating algorithms. Not just how to use finished tools.

Pillar 2

Building AI, not just consuming.

Hands-on creation in the no-code AI IDE, Visual Blocks and browser simulations, with optional low-code Python and Scratch extensions for stretch.

Pillar 3

Built on the core CS curriculum.

Discover AI extends Qubits’ established K–12 computer science pathway, so AI learning builds on computational foundations rather than standing alone.


Six recurring themes, getting
more advanced each year

Six recurring themes, getting
more advanced each year

01

Foundations of AI

What AI is and how it differs from rule-based software, revisited at new depth each year.

02

AI Algorithms

How systems learn: from “machines learn from examples” to neural and generative models.

03

Data Understanding

Collect, label, evaluate and stress-test datasets. Data literacy as a transferable skill.

04

Build with AI

Students build and test real systems every year, from early classifiers to a Grade 12 app.

05

Usage of AI

Prompting, output evaluation, bias and uncertainty. Tools with critical judgement.

06

Responsible AI

Ethics and governance close every year, from personal data to regulatory-level analysis.

The Qubits AI IDE

The Qubits AI IDE

The centrepiece of the platform for the middle and high school phases: browser-based, block-based, and fully accessible to students with no programming background.

01 TRAIN

Train real models in the browser

Training using image, audio, and pose classifiers using data captured live within the platform.

02 BUILD

Build multi-stage AI pipelines

Connect visual blocks into working pipelines, including various confidence-gated pipelines.

03 ASSESS

Measure and compare

Evaluate performance with built-in quantitative metrics, and compare with pretrained models

04 REUSE

Wide compatability

Models built in the IDE can be used in any programming language, carrying into other projects.


🚀 Next Steps

Which courses are right for my students? We can help you understand which courses are the best fit for your students and goals.