ILPLABLearning Systems Lab home

Four learning experiments · five Learning Toys

Watch a launched ball. Build the model.

Pick a question. Change something. See how the reasoning responds.

Begin with the ball's equal-time positions, then turn around and use the same model to predict what you will see.

Start with the evidence Start from the model

6–8 minutes · authored and deterministic · saved only in this browser

Equal-time traceOne position every 0.25 seconds
Horizontal projectile positionsFive positions at equal time intervals. Horizontal spacing is equal and downward spacing grows.release0.00 s0.25 s0.50 s0.75 s1.00 s
Focus questionWhy does a horizontally launched ball trace a curve?

Choose another question

Four different learning acts.

Each experiment uses the interface its subject requires. There is no universal console to learn first.

  1. 01
    Bidirectional comprehension navigationWhy does a horizontally launched ball trace a curve?
    Open experiment →
  2. 02
    Temporal projectionWhen does $10 a week become enough for a $2,500 laptop?
    Open experiment →
  3. 03
    Procedural troubleshootingWhy can one laptop appear connected while named websites still fail?
    Open experiment →
  4. 04
    Constraint deconstructionShould the delivery scan be admitted under the business-records exception?
    Open experiment →
See the full experiment catalog →

Learning Toys

Open the material. Follow what interests you.

Learning Toys are authored, manipulable objects without scores or required paths. Start with Apollo 11, inspect what every line means, then travel across the program.

Explore Apollo, connected View all five Learning Toys →
Apollo 11EagleColumbiaSea of TranquilitySurface science

What makes this a research lab

The reasoning remains open to inspection.

01

Authored interactions

Every action, response, and acceptable path is written and reviewable.

02

Visible reasoning

Results retain the evidence and relationships that support them.

03

Inspectable sources

Each instrument states where its content comes from and where it stops.

No live AI, personalization, passive analytics, or claims of proven learning efficacy. Read the project lineage and evaluator boundary →