The AI vertical
From sensory intuition to algorithmic construction.
A Grade 1 child can understand how a machine sorts, guesses and gets it wrong. They cannot write Python. So we teach the thinking first and let the syntax arrive when the hands are ready for it.
Quick answer
The NASCA AI curriculum runs from Grade 1 to Grade 12 across six technical domains: AI awareness, perception and representation, data science, machine learning models, generative AI, and responsible AI. Early years are unplugged. Programming enters at Grade 5 and carries the work from Grade 7.
Data skills and AI modelling run as parallel tracks, and a bridge track brings late joiners up to the level of their class within a term.
Six technical domains
AI Awareness and Intelligent Systems
What counts as intelligent behaviour, where AI already sits in a child's day, and the difference between a rule, a guess and a decision.
Perception and Representation
How a machine turns light into pixels, sound into numbers and words into vectors. The step most curricula skip, and the one that makes everything after it make sense.
Data Science and Statistical Literacy
Collecting, cleaning, summarising and plotting real data. Sampling, spread, correlation, and the discipline of saying what the data cannot support.
Machine Learning Models
Supervised and unsupervised learning, training and testing, over-fitting, evaluation. Students train models on data they gathered themselves.
Natural Interaction and Generative AI
Language models, prompting, multimodal systems, and building an assistant that does one useful job well.
Responsible and Ethical AI
Bias, fairness, privacy, consent, attribution and impact. Present in every grade, examined in every project.
Data skills and AI modelling are kept separate on purpose.
Most programmes fold statistics into the machine learning unit and students end up trusting a model they cannot interrogate. We run the two tracks side by side, so by the time deep learning arrives the data discipline is already a habit.
A child joining in Grade 7 is not left behind.
Every domain carries a recap track with its own short projects. A new joiner runs it alongside the main class with mentor support and is at the working level of the group inside one term. Concepts also return each year at higher resolution, so nothing rests on a single exposure.
Grade by grade
Who the child becomes at each stage.
Grades 1 and 2
The Perceptive Observer
Sorting, matching, patterns and prediction, all unplugged.
Children classify objects by rules they invent, then discover where their own rule breaks.
Grades 3 and 4
The Data Explorer
Counting, recording, tallying and reading a chart with suspicion.
A class-wide survey turned into a chart, then a discussion of who was left out of the count.
Grades 5 and 6
The Logic Builder
Algorithms, decision trees, block-based coding, first trained classifiers.
Training an image classifier on photographs the class took, then trying to fool it.
Grades 7 and 8
The System Designer
Python, datasets, features, model evaluation, sensors feeding a model.
Building a system that reads a sensor, makes a prediction and acts on it.
Grades 9 and 10
The Deep Learning Architect
Neural networks, computer vision, natural language, generative models.
A working application with a measured accuracy and a written note on its failure cases.
Grades 11 and 12
The Frontier Strategist
Applied research, deployment, AI policy, quantum and frontier topics.
A capstone taken to a live panel, defended under questions from people who know the subject.
Questions we get asked
At what age does NASCA start teaching AI?
Grade 1. The early years are unplugged and sensory. Children reason about sorting, patterns and prediction before they meet any coding syntax.
What if a student joins in Grade 7 with no AI background?
The bridge architecture handles it. Each domain carries a structured recap track, so a new joiner is brought up to the working level of the class within the first term with mentor support.
Do students need to know how to code first?
No. AI logic is decoupled from coding syntax in the early years on purpose. Programming enters from Grade 5 and becomes the main tool from Grade 7.
How is the AI curriculum assessed?
On the same six-parameter model as every other NASCA sub-stream: concept, application, structure, development, programming and analytical skills, and presentation.