Patterns and Classification
Humans are great at spotting patterns; computers can learn to spot patterns too, but they need lots of examples; sorting and classification activities as the basis of machine learning
Lesson
Set out your lesson
“Patterns and Classification means practising the idea at the table with a simple screen-free or sandbox check. We will demo once, then your child tries.”
Bring to the table
- Two short recommendation cards or screenshot printouts
- Pencil for compare notes
Extra for the adult
Worked example. A feed keeps showing football because past clicks were football — that can hide other topics (filter bubble).
Optional challenge. For Patterns and Classification, add one harder example after success.
What to notice. Keep one parent note: examples tried; results; support used. This session samples Patterns and Classification, not mastery.
Share and support
Family records and proof options
Keep a record of your learning
Save photos, notes, and attendance. Export a proof packet for compliance or portfolio reviews.
Practice this concept
Start practicePatterns and Classification practice
Practice key ideas from Patterns and Classification.
Free · no login · no ads · Practice answers and completion are not saved. Parent observation remains the lesson record.
Learning resources
Extra practice links — they do not replace Gakuva’s teaching approach.
Code.org · Practice link — not the full lesson
AI for Oceans
Before you open · source notes
Train and test a classifier on labeled examples—direct practice with patterns and classification (and what happens with new items).
Free · no login required to play · account optional to save · no ads observed
Before you openSave a screenshot of training labels and a test result, plus a parent note of one correct and one confused classification.
Opening this link does not save learning or assess mastery.
Source, access and review notes
Unknown — link only
Google Creative Lab · Practice link — not the full lesson
Teachable Machine · Image
Before you open · source notes
Adult-guided tool: create two or more image classes, train a quick model, and test new examples. Works best with a webcam and supervision.
Free · no login · no ads observed · webcam optional
Before you openSave a screenshot of at least two classes with training samples and one live test prediction.
Opening this link does not save learning or assess mastery.
Source, access and review notes
Unknown — link only
Check understanding
- Sort a set of items into categories and explain the rules they used
- Explain that computers learn patterns by looking at many examples
- Describe why a computer needs more examples than a human to learn the same pattern
“If you showed your child pictures of cats and dogs, could they explain how a computer could learn to tell them apart — and why it would need many more pictures than a person would?”
Curriculum record
- Type
- Conceptual
- Subject
- Computing
- Domain
- Artificial Intelligence
- Age range
- Ages 7–9