TL-001 · for teachers
- Groep 6 to 8
- 5–10 minutes per board
- How a machine decides: features, a line, weights
- After the worksheets “When does the machine say yes?” (WS-L1)
- No account, nothing saved or sent
Open the activity Open worksheet 2A
What pupils do
What it teaches, and why it is true of real AI
How TALLY works
TALLY and real AI
| TALLY | Real AI | |
|---|---|---|
| What it counts | ||
| The weights | ||
| How many numbers | ||
| The line | ||
| What one line cannot do | ||
| Explaining an answer |
What we simplified, and why
What it does not teach
In class
Sources
- Rosenblatt, F. (1958). The perceptron: a probabilistic model for information storage and organization in the brain. Psychological Review, 65(6).
- Minsky, M. & Papert, S. (1969). Perceptrons: An Introduction to Computational Geometry. MIT Press.
- Walan; Dai et al.: on analogies and anthropomorphism with 11–12-year-olds. Summarized in Vonk's design philosophy.