WHAT THIS MODEL HELPS US SEE
The table makes frequencies, totals and percentages comparable and keeps benefit, risk and uncertainty in the same view.
LAUNCH · GCSE Biology · Lesson 11 of 18 · ExploreLAUNCH · GCSE Biology · Week 11 · Explore
Sequence outcome: Discuss potential benefits and risks associated with the use of stem cells in medicine.
LAUNCH rule: explanation is earned through prediction, observation, measurement, calculation or reasoning from evidence.
SPACE available · VOICE waiting · AUDIENCE waiting · INFLUENCE waiting
Access changes the response route, not the GCSE Biology entitlement.
LAUNCH rule: explanation is earned through prediction, observation, measurement, calculation or reasoning from evidence.
SPACE available · VOICE waiting · AUDIENCE waiting · INFLUENCE waiting
Commit one first idea. Predictions are held, not marked. Pointing, selecting, saying or signing all count.
LAUNCH rule: explanation is earned through prediction, observation, measurement, calculation or reasoning from evidence.
SPACE available · VOICE waiting · AUDIENCE waiting · INFLUENCE waiting
The table makes frequencies, totals and percentages comparable and keeps benefit, risk and uncertainty in the same view.
The numbers are invented for classroom reasoning, the sample is small and no real treatment conclusion can be drawn from them.
Label the table SIMULATED TRAINING DATA. Treatment: 12 of 20 improved; comparison: 6 of 20 improved.
Calculate 12 ÷ 20 × 100 = 60% and 6 ÷ 20 × 100 = 30%.
Describe only what the table supports: improvement was recorded more often in the treatment group in this simulation.
Word help keeps the scientific term visible and adds a plain-language bridge.
Simulated: treated 12/20 improved, 3/20 had side effects; control 6/20 improved, 0/20 side effects.
LAUNCH rule: explanation is earned through prediction, observation, measurement, calculation or reasoning from evidence.
SPACE available · VOICE waiting · AUDIENCE waiting · INFLUENCE waiting
Use a button, point, say/sign or let an adult operate the chosen button. A retry is information, not a penalty.
LAUNCH rule: explanation is earned through prediction, observation, measurement, calculation or reasoning from evidence.
SPACE available · VOICE waiting · AUDIENCE waiting · INFLUENCE waiting
Add risk: four of 20 treatment participants and one of 20 comparison participants had the defined adverse event.
Add uncertainty: each group is small, follow-up is short and the simulation gives no evidence about long-term outcomes.
A balanced analysis states benefit evidence, risk evidence and at least one limit before any judgement.
The table makes frequencies, totals and percentages comparable and keeps benefit, risk and uncertainty in the same view.
The numbers are invented for classroom reasoning, the sample is small and no real treatment conclusion can be drawn from them.
LAUNCH rule: explanation is earned through prediction, observation, measurement, calculation or reasoning from evidence.
SPACE available · VOICE waiting · AUDIENCE waiting · INFLUENCE waiting
Place each evidence statement, then use the frozen set to make one cautious analysis.
Claim: Sixty per cent improved, so the simulated treatment is proven safe and effective.
LAUNCH rule: explanation is earned through prediction, observation, measurement, calculation or reasoning from evidence.
SPACE available · VOICE waiting · AUDIENCE waiting · INFLUENCE waiting
Simulated data sheet, calculator, percentage frame, benefit-risk-uncertainty grid and pencil.
Same outcome: I can analyse simulated stem-cell evidence by calculating outcomes and identifying benefits, risks and limitations.
Use the same local table and card lab; no network, account or real patient data is used.
Same evidence: Visible percentage working plus a benefit-risk-uncertainty analysis that does not overclaim.
Complete two percentage calculations with the formula shown, then match one benefit, risk and limit.
Numbers are pre-positioned: frequency ÷ 20 × 100. Use icons and exact scribing if needed.
Calculate all four percentages and write a three-part analysis.
Use: The data suggest __. However __. We cannot conclude __ because __.
Calculate all outcomes, compare groups and evaluate how sample size and follow-up affect confidence.
Do not add new biology; deepen the evidence judgement and propose one useful next-data need.
LAUNCH rule: explanation is earned through prediction, observation, measurement, calculation or reasoning from evidence.
SPACE available · VOICE waiting · AUDIENCE waiting · INFLUENCE waiting
Calculate 6 out of 20 as a percentage.
State one benefit finding and one uncertainty from the simulated data.
Why can the same dataset suggest benefit and still be insufficient for a confident treatment claim?
The familiar adult genuinely receives the pupil response, then says back the Science they heard or saw. The adult does not add a score or rewrite the pupil.
Receive the pupil’s Voice, complete real Audience, then choose what changes.
Session state is temporary. Reload clears responses; there is no account, upload or saved pupil identity.
LAUNCH rule: explanation is earned through prediction, observation, measurement, calculation or reasoning from evidence.
SPACE available · VOICE waiting · AUDIENCE waiting · INFLUENCE waiting
Name: _______________________________ Date: ____________________
Learning objective: I can analyse simulated stem-cell evidence by calculating outcomes and identifying benefits, risks and limitations.
Retrieval: Lesson 10: stem cells can divide and differentiate. · Lesson 10: evidence, ethical concern and uncertainty are different. · W5: percentage change made fair comparisons possible. · Lead-in: what must be known before 12 improved outcomes can be interpreted?
The table makes frequencies, totals and percentages comparable and keeps benefit, risk and uncertainty in the same view.
The numbers are invented for classroom reasoning, the sample is small and no real treatment conclusion can be drawn from them.
Complete two percentage calculations with the formula shown, then match one benefit, risk and limit.
Calculate all four percentages and write a three-part analysis.
Calculate all outcomes, compare groups and evaluate how sample size and follow-up affect confidence.
Visible percentage working plus a benefit-risk-uncertainty analysis that does not overclaim.
Supported: Calculate 6 out of 20 as a percentage.
Standard: State one benefit finding and one uncertainty from the simulated data.
Stretch: Why can the same dataset suggest benefit and still be insufficient for a confident treatment claim?
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Waiting for genuine Voice and Audience.
What was observed, and with what level of independence?
Local print output only. Reload clears in-page responses.