Session 3 of 4 · Complete free trial edition

Transfer lab

Use three short paper challenges to compare reward rules, missing examples and moments that need a person’s review.

  • About 20–30 minutes
  • Ages 9–13 with an adult
  • Paper + pencil
  • No email or account

Read below, print, or choose “Save as PDF” in your browser. You can also copy the prompts onto plain paper. Keep written answers with your family; none are uploaded.

WOVI · SESSION 3 OF 4 · LEARNER WORKSHEET

Transfer lab

Ages 9–13 with an adult · About 20–30 minutes · Free trial edition

You need: paper, a pencil and an adult to discuss your ideas with. These are made-up practice cases; all the rules and numbers you need are below. No game or coding is needed.

For each challenge, predict first, choose a change, point to evidence and suggest one further test. Keep your notes for Session 4.

1. A greenhouse with two needs · 6–7 minutes

A watering helper has exactly 6 cups. The gardener wants the seedling tray to receive at least 2 cups. The helper can choose only one of these three plans.

Three watering plans; each uses 6 cups
PlanSeedlingsFlowers
A1 cup5 cups
B2 cups4 cups
C3 cups3 cups

Start: score = seedling cups + (2 × flower cups). The helper chooses the highest score. Calculate all three scores, predict its choice and check the gardener’s request.

Update 1: keep that score, but subtract 3 points if seedlings get fewer than 2 cups. Which plan wins now?

Update 2: keep the original score and the 3-point penalty. Now add a 4-point flower bonus only if the flowers get 5 cups. Only Plan A earns this bonus. Which plan wins? Does the penalty still protect the seedlings?

Choose a guard: what happens if plans giving seedlings fewer than 2 cups are removed before any points are compared? Use the Update 2 scores for the plans that remain.

My first prediction and scores:

My choices after Updates 1 and 2:

My guard and evidence that it changes the choice:

A further rule or situation I would test:

2. The leaf-photo gap · 6–7 minutes

A practice helper labels leaf photos as “round” or “narrow.” Its training set had 20 photos, all taken in bright light. It was then checked on 25 different photos that were not in training.

Results on the separate test photos
LightTest photosCorrect
Bright2018
Dim52

Predict: would the total number correct tell the whole story? Add the two rows. Compare 18 out of 20 with 2 out of 5. You may draw groups of boxes instead of calculating percentages.

Choose a next step: (A) add 10 more bright training photos; (B) add 10 new dim training photos, including both leaf types; or (C) train on the answers to these exact test photos, then use the same photos as proof that the change worked.

Choose a step and explain which gap it addresses. Then plan a fresh check: what photos should be kept out of training, and which group results would you compare? A proposed change still needs testing.

My prediction and total correct out of 25:

The group evidence I noticed:

My next step and reason:

My fresh test would include:

3. A museum label that can wait · 5–7 minutes

A museum’s practice helper suggests a label for a photo. It gives points to its two best guesses. These are ranking points, not percentages or chances of being right.

Use this review rule: if the photo is blurred OR the point gap is less than 3, ask a person to review it. Otherwise, use the top guess as a temporary label. Gap = top points − second-place points.

Three practice photos and their suggested labels
PhotoImageTop guessSecond guess
AClearCup · 8Bowl · 3
BClearCup · 6Bowl · 5
CBlurredBowl · 9Cup · 2

Predict: which photos will need review? Work out each gap and apply both parts of the rule. A big gap does not cancel the blurred-photo rule.

Choose an action: for one review case, should the person request a clearer photo, inspect the object or leave it unlabelled for now? Explain what evidence that action could add. Then invent one new photo case to test the review rule.

My predictions, gaps and decisions for A/B/C:

The rule evidence for a review decision:

My chosen human action and reason:

My new test case and expected decision:

Compare the three investigations · 2–3 minutes

Which case needed a rule change, which needed different examples, and which needed a person to check? Choose one sentence from your notes that shows why the same fix would not solve every problem.

One difference I can explain:

Wovi AI Investigator · Session 3 · wovi.world/family-pack-session-3

Session 3 parent guide: Transfer lab

WOVI · SESSION 3 OF 4 · PARENT REFERENCE

Transfer lab

Ages 9–13 with an adult · About 20–30 minutes · Free trial edition

Your role: let the learner make a prediction before checking these notes. Read the short cases together and help with arithmetic if needed; the useful work is explaining a choice with evidence.

1. Greenhouse: a penalty and a hard rule do different things

Reference scores for the three successive rules
PlanStartUpdate 1Update 2
A1 + 2×5 = 1111 − 3 = 88 + 4 = 12
B2 + 2×4 = 101010
C3 + 2×3 = 999

The choices are A → B → A. Update 1 discourages giving seedlings too little water. Update 2 keeps that penalty, but its new bonus outweighs it. The bonus applies only to A because only A gives flowers 5 cups.

With the hard rule “seedlings get at least 2 cups,” remove A first. B then beats C, 10 to 9, under Update 2. Ask: “Did we change the points, or change which plans were allowed?”

A larger penalty could also select B for these exact numbers; that is a reasonable numerical proposal. Ask the learner to test it against a still larger bonus. A hard limit better expresses a requirement that must hold regardless of rewards. If a future plan list has no permitted choice, the helper needs a “no valid plan; ask the gardener” response instead of silently dropping the rule.

Further tests: a larger flower bonus; an A-like plan with even fewer seedling cups; or a list with no plan meeting the minimum. Reward choices can vary when the gardener’s preferences vary, but do not silently change the stated minimum.

2. Leaf photos: a total can hide a weaker group

The total is 20 correct out of 25 (80%). Bright photos: 18/20 (90%). Dim photos: 2/5 (40%). A drawing that shows those fractions is enough; percentage calculation is optional. The larger bright group makes the overall result look stronger than the dim-group result.

B is the most direct next experiment: add varied dim training photos of both leaf types. A may improve bright-light coverage but does not directly fill the missing lighting condition. C reuses known test answers; a better score on those same photos would not show that unfamiliar photos are handled better.

Keep fresh bright and dim photos separate from training, then compare both groups again. A learner may suggest balancing the new test groups to make the comparison easier; that is reasonable if the group sizes are reported. The five dim tests show a problem worth investigating, not that every dim photo will fail or that a particular improvement is guaranteed.

The table does not establish why the helper missed those photos. Dim examples are a sensible hypothesis to test because they were missing from training; label mistakes or other photo differences are also worth checking. Accept an alternative if the learner names the evidence they would need.

3. Museum labels: a big score is not a reason to skip every check

A: gap 8−3 = 5 and the image is clear, so use “Cup” as a temporary label under the stated rule. B: gap 6−5 = 1, so request review. C: gap 9−2 = 7, but the image is blurred, so request review anyway. “OR” means either reason is enough.

For C, asking for a clearer image is a useful first action. For B, inspecting the object may add evidence that the photo lacks. Leaving either unlabelled while evidence is unavailable is also acceptable. A person should examine evidence, not merely repeat the top guess.

A useful boundary test is a clear image with points 7 and 4: the gap is exactly 3, so the rule allows a temporary top label. Blurring the same image should switch the result to review. A clear tie should also request review.

The rule sorts cases for this paper exercise; the points do not prove any label is correct. Ask the learner what they would do if the temporary label were later found wrong. Revising it and reviewing the rule is more useful than treating the original score as proof.

Close with one comparison

Look for a distinction such as: “Extra training photos do not change the greenhouse’s allowed plans,” or “A larger label score does not repair a blurred image.” Let the learner use their own words. Keep the prediction, decision, evidence and proposed next test; these are discussion notes, not a grade.

Wovi AI Investigator · Session 3 · Parent reference · wovi.world/family-pack-session-3

Keep the investigation going.

Keep this worksheet for Session 4, then continue to explain & improve when your family is ready.