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Science · Year 3 · Working Scientifically: The Young Researcher · Summer Term

Drawing Conclusions and Evaluating

Students will draw simple conclusions from their results and suggest improvements for future investigations.

National Curriculum Attainment TargetsKS2: Science - Working Scientifically

About This Topic

Drawing conclusions and evaluating investigations guide Year 3 students to interpret their data meaningfully. After experiments like testing paper bridges or shadow lengths, pupils check if results match predictions, state clear conclusions backed by evidence, and propose practical improvements. This process teaches them to spot patterns, such as 'the bridge held more weight with triangles,' and link them to their starting ideas.

These skills anchor the Working Scientifically requirements in the National Curriculum, building habits of evidence-based thinking and scientific communication. Pupils justify decisions with phrases like 'the data shows this because,' while improvement suggestions, such as 'use a ruler next time,' encourage precision and fairness in methods. Together, they cultivate resilience and iterative learning essential for future science.

Active learning excels with this topic through structured reflections and peer feedback. When students annotate results charts in pairs or debate conclusions in circles, they actively wrestle with evidence. Group brainstorming of improvements makes evaluation collaborative and concrete, helping pupils own the scientific process and retain skills long-term.

Key Questions

  1. Evaluate whether the results support the initial prediction.
  2. Justify the conclusions drawn from the experimental data.
  3. Suggest improvements for a future investigation based on current findings.

Learning Objectives

  • Evaluate whether experimental results support or refute an initial prediction.
  • Justify conclusions drawn from collected data using specific evidence.
  • Suggest at least two practical improvements for a future investigation based on observed limitations or findings.
  • Compare the outcome of an investigation with the initial hypothesis, identifying similarities and differences.

Before You Start

Planning and Carrying Out Investigations

Why: Students need experience in setting up fair tests and collecting data before they can draw conclusions from it.

Making Predictions

Why: Students must be able to form an initial prediction to evaluate whether their results support it.

Key Vocabulary

ConclusionA summary of what was learned from an investigation, based on the results and evidence collected.
PredictionAn educated guess or statement about what will happen in an investigation before it begins, often based on prior knowledge.
EvidenceInformation or facts gathered during an investigation that support or refute a conclusion or prediction.
ImprovementA change or suggestion made to make a future investigation more accurate, fair, or reliable.

Watch Out for These Misconceptions

Common MisconceptionExperiments fail if results do not match the prediction.

What to Teach Instead

Predictions are testable ideas, not certainties; evidence guides conclusions. Pair discussions of real data help pupils reframe 'failure' as learning, building confidence in scientific uncertainty.

Common MisconceptionConclusions just repeat the results without linking to predictions.

What to Teach Instead

Strong conclusions explain if and why data supports predictions using patterns. Active peer reviews, where pairs check each other's writing, clarify this evidence-based structure.

Common MisconceptionImprovements are only needed if something breaks.

What to Teach Instead

All investigations can improve for accuracy or fairness, like repeat trials. Group brainstorming sessions reveal overlooked issues, such as uncontrolled variables, through collective insight.

Active Learning Ideas

See all activities

Real-World Connections

  • Food scientists test different recipes and ingredients to see which produce the best texture or flavor. They then draw conclusions about which ingredients to use and suggest improvements for future recipe development.
  • Engineers testing a new bridge design will measure how much weight it can hold. If it fails, they analyze the results to understand why and suggest design improvements for the next prototype.
  • Doctors analyze patient data from trials of new medicines to conclude if the medicine is effective and safe. They then suggest improvements for future drug testing protocols.

Assessment Ideas

Exit Ticket

Provide students with a simple data table from a completed investigation (e.g., how far different paper airplanes flew). Ask them to write one sentence stating their conclusion and one sentence suggesting an improvement for the next flight attempt.

Discussion Prompt

Pose the question: 'Imagine your investigation didn't go as planned. What are two things you could say about your results, and what is one way you could make the experiment better next time?' Listen for students using terms like 'conclusion,' 'evidence,' and 'improvement.'

Quick Check

During a group investigation, ask pairs of students to explain their conclusion about the results. Then, ask them to point to the specific data (evidence) on their worksheet that supports their conclusion.

Frequently Asked Questions

How do Year 3 pupils draw conclusions from science experiments?
Pupils compare data patterns, such as growth charts or measurement tables, to predictions. They use sentence starters like 'The results support/do not support the prediction because.' Practice with familiar investigations builds this skill, ensuring conclusions stay simple and evidence-focused for their level.
What improvements can Year 3 students suggest for investigations?
Common ideas include using identical equipment, repeating tests, measuring precisely, or controlling variables like light. Guide pupils to focus on method flaws from their results, such as 'We need a timer next time.' This targets fair testing in the curriculum.
How can active learning help students evaluate experiments?
Active approaches like pair data matching or group idea walls engage pupils directly with evidence. They discuss predictions versus results aloud, propose improvements collaboratively, and refine ideas through feedback. This hands-on reflection makes abstract evaluation tangible, boosts retention, and mirrors real science practices over passive worksheets.
Why evaluate predictions in primary science?
It teaches pupils science relies on evidence, not guesses. By justifying matches or changes, they develop critical thinking and communication. Curriculum links to fair testing ensure pupils see evaluation as core to reliable results and future planning.

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