Year 6 Science · AC9S6H02

AC9S6H02: Investigate how scientific knowledge is used by individuals and communities to identify problems, consider responses and make decisions

We are learning to use scientific evidence, community priorities and explicit criteria to make and review defensible decisions.

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What students learn in AC9S6H02Start here

Learning intention: We are learning to use scientific evidence, community priorities and explicit criteria to make and review defensible decisions.

Curriculum focus: Investigate how scientific knowledge is used by individuals and communities to identify problems, consider responses and make decisions.

Success criteria

  • separate scientific evidence from opinions, values and assumptions
  • compare realistic responses using benefits, limitations, stakeholders and uncertainty
  • justify a decision with relevant evidence and propose monitoring that could trigger revision
Key vocabularyOpen section
stakeholder
a person, group or living system affected by, able to affect or holding relevant knowledge about a decision
criterion
a standard used to judge how well an option meets a need
trade-off
a balance in which gaining on one criterion involves a cost on another
uncertainty
a recognised limit in data, knowledge or prediction
risk
a combination of how likely an outcome is and how serious its consequences are
baseline
a starting measurement used for later comparison
monitoring
repeated collection of evidence to check outcomes over time
adaptive management
acting, monitoring, learning and revising a response as evidence develops
Concept model and worked thinkingTeach from the board

Reliable routine

  1. Define the problem precisely.
  2. Gather relevant, trustworthy scientific evidence.
  3. Identify stakeholders and convert needs into criteria.
  4. Compare feasible responses using the same criteria.
  5. Justify a choice while acknowledging trade-offs and uncertainty.
  6. Monitor intended and unintended outcomes, then revise when thresholds are crossed.

identify the problem

Task: A town creek repeatedly turns green in summer. Which statement defines the problem most usefully?

Model reasoning: This statement identifies an observable condition and its possible consequence without jumping to a solution.

relevant evidence

Task: Which measurement is most relevant when investigating fish deaths after an algal bloom?

Model reasoning: Dissolved oxygen directly relates to whether fish can respire.

evidence and opinion

Task: Which is scientific evidence rather than an opinion?

Model reasoning: A recorded measurement from repeated tests is evidence; the other statements express preferences.

stakeholders

Task: A council is considering closing a beach while turtle nests hatch. Who is an affected stakeholder?

Model reasoning: Both groups are affected or have relevant interests and should be considered.

criteria

Task: For a new drinking-water treatment, which is a scientific criterion?

Model reasoning: Bacteria removal is measurable and relates directly to safe water.

options

Task: A school wants to reduce lunchtime waste. Which pair gives two genuine response options?

Model reasoning: Both are actions that could respond to the defined problem.

benefit and limitation

Task: Solar panels reduce grid electricity use but generate less power on cloudy days. The cloudy-day statement is a:

Model reasoning: It describes a condition that restricts the option’s performance.

decision chain

Task: What should normally happen before a community selects a response?

Model reasoning: Evidence and criteria are needed to compare responses transparently.

Curriculum coverage and elaborationsOpen section

Science informs decisions; it does not choose values

Scientific knowledge can explain causes, measure present conditions and estimate likely consequences. Individuals and communities must also decide what they value, what risks are acceptable and how benefits and burdens should be shared.

The decision chain

Define the problem → gather relevant evidence → identify affected groups and criteria → compare feasible responses → justify a choice → monitor outcomes → revise when evidence changes. Skipping a stage makes reasoning harder to check.

Evidence, opinion and values

Evidence is observable or measurable and should be checked for relevance and quality. Opinions express personal judgements. Values state what ought to be protected or prioritised. Values belong in community decisions, but should not be disguised as measurements.

Stakeholders and criteria

A stakeholder is affected by, can affect or holds relevant knowledge about a decision. Translate needs into criteria such as effectiveness, safety, cost, equity, cultural protection, habitat impact, time and reliability. One person never automatically represents a whole group.

Options and trade-offs

Compare more than one realistic response. A benefit is an advantage against a criterion; a limitation is a condition or drawback. A trade-off occurs when an option performs better on one criterion but worse on another. Combined or modified responses may reduce a trade-off.

Uncertainty and risk

Uncertainty is an honest limit in data or prediction, not proof that nothing is known. Risk considers both likelihood and consequence. Use ranges, pilots, precaution and scenarios to act proportionately while learning more.

Monitoring and revision

Set a baseline, measurable success indicators, a timetable and evidence thresholds that trigger action. Monitoring checks intended and unintended effects. Changing a response because relevant evidence changed is adaptive management, not failure.

A strong recommendation

State the response, connect specific evidence to priority criteria, acknowledge stakeholder effects and a genuine limitation, describe uncertainty, and give a monitoring-and-revision plan. Never claim that science guarantees one morally correct answer.

Common reasoning traps

Cheapest is not automatically best; a true fact is not automatically relevant; popularity is not evidence of effectiveness; one stakeholder is not the whole community; uncertainty does not erase evidence; and a short-term benefit may have long-term or indirect costs.

Important questions and answers

Q: Can communities disagree while using the same evidence? A: Yes, because they may weight criteria differently. Q: When is evidence strong? A: When methods are relevant, systematic and transparent. Q: Why monitor? A: To test success, detect unintended effects and guide revision.

Common misconceptionsOpen section
  • Science tells a community the single correct choice. Science informs likely effects and uncertainty; communities also make transparent value judgements and weight criteria.
  • The cheapest option is automatically best. Cost is one criterion alongside effectiveness, safety, equity, culture and environmental impacts.
  • Uncertainty means evidence should be ignored. State the limit, act proportionately, gather more evidence and monitor outcomes.
  • One stakeholder speaks for the whole community. Stakeholder groups can contain different needs and perspectives; use broad, respectful consultation.
  • Once announced, a decision should never change. Monitoring may show failure or unintended effects; evidence-based revision is responsible adaptive management.
Important questions and answersWith answers
  • Can two communities use the same evidence and decide differently? Yes. They may assign different transparent weights to cost, equity, culture, habitat, safety or time.
  • Is an opinion useless? No. Preferences and values matter, but they should be identified honestly and considered alongside scientific evidence.
  • What makes monitoring useful? A baseline, consistent measures, a timetable, success criteria and a pre-agreed trigger for review.
  • What must every strong recommendation acknowledge? At least one genuine limitation or uncertainty, as well as the evidence and criteria supporting the choice.
Assessment-style questions and review hintsWith answers
  • Define the problem before proposing a response.
  • Name the evidence and explain which criterion it supports.
  • Distinguish measurements from opinions and value priorities.
  • Include multiple affected groups without assuming one voice represents all.
  • Compare options using the same criteria and state a genuine trade-off.
  • Finish with a measurable monitoring and revision rule.
Support, core and extendOpen section
  • Support: work with one short example, highlighted evidence and a structured response frame.
  • Core: complete an unseen example independently and justify the decisive evidence.
  • Extend: compare plausible alternatives, explain limitations and create a new example within the Year 6 boundary.
Exit ticket and mastery evidenceOpen section

Recommend either trees or shade sails for a hot schoolyard. Cite evidence, name priority criteria, acknowledge a trade-off and state a monitoring trigger.

Evidence of mastery: The student distinguishes evidence from values, compares feasible responses against explicit stakeholder criteria, justifies a decision with relevant evidence and uncertainty, and designs monitoring that can lead to revision.