Drawing conclusions from evidence
METAReport on findings from enquiries using oral and written explanations, draw simple conclusions, make predictions, and suggest improvements
Mastery Evidence
- Write or present a clear report of findings from an investigation
- Draw a conclusion that answers the original question, supported by data
- Make a prediction for a new situation based on the results, and suggest improvements to the method
Assessment Prompt
“After finishing an experiment, can [child] explain what they found out, what it means, what they'd predict for next time, and how they could improve the test?”
Curriculum Standards2 alignments
KS2L.Sci.WS.6The national curriculum in Englandreporting on findings from enquiries, including oral and written explanations, displays or presentations of results and conclusions
KS2L.Sci.WS.7The national curriculum in Englandusing results to draw simple conclusions, make predictions for new values, suggest improvements and raise further questions
Prerequisites4
- Teaching It BacksoftAges 7—8
- Classifying living thingshardAges 7—9
- Building Writing StaminasoftAges 6—7
- Fair testinghardAges 7—9
Show full prerequisite tree
- Teaching It Back soft
Reporting scientific findings in your own words draws directly on the universal self-explanation habit
- Explaining Mathematical Reasoning soft
The universal self-explanation habit (LtL 7-8) builds on the maths-specific practice of explaining reasoning when prompted (MT 6-7)
- Showing Your Working hard
Age 6-7 explaining with diagrams/logic builds on age 5-6 showing and telling with objects
- Numbers up to 10 into pairs soft
Explaining part-part-whole decompositions exercises showing and telling
- Addition as combining or putting together two hard
Decomposing numbers into pairs requires understanding addition as combining
- How Many in Total? hard
Understanding addition as combining groups requires knowing numbers represent quantities (cardinality)
- One-to-one counting hard
Cardinality principle builds on one-to-one correspondence — you must count correctly to know the last number tells 'how many'
- Number bonds to 9 soft
Explaining how to find number bonds to 10 exercises showing thinking with objects
- Numbers up to 10 into pairs hard
Making 10 is a specific application of decomposing numbers into pairs
- Addition as combining or putting together two hard
Decomposing numbers into pairs requires understanding addition as combining
- How Many in Total? hard
Understanding addition as combining groups requires knowing numbers represent quantities (cardinality)
- One-to-one counting hard
Cardinality principle builds on one-to-one correspondence — you must count correctly to know the last number tells 'how many'
- Listening and responding soft
Explaining mathematical reasoning orally requires basic listening and responding skills
- What the equals sign means soft
Determining whether equations are true/false exercises evaluating and justifying
- Reading +, −, and = symbols hard
Deep understanding of = requires already being able to read and write number sentences
- Reading and writing numbers to 20 hard
Writing number sentences requires reading and writing numerals
- How Many in Total? hard
Reading/writing numerals 0–20 requires understanding that numerals represent quantities (cardinality)
- One-to-one counting hard
Cardinality principle builds on one-to-one correspondence — you must count correctly to know the last number tells 'how many'
- Writing digits 0-9 hard
Writing numerals requires the motor skill of forming digits 0-9 (taught in English handwriting)
- Addition as combining or putting together two hard
Reading/writing the + symbol requires understanding what addition means
- How Many in Total? hard
Understanding addition as combining groups requires knowing numbers represent quantities (cardinality)
- One-to-one counting hard
Cardinality principle builds on one-to-one correspondence — you must count correctly to know the last number tells 'how many'
- Subtraction as taking away or separating hard
Reading/writing the − symbol requires understanding what subtraction means
- How Many in Total? hard
Understanding subtraction as taking away requires knowing numbers represent quantities (cardinality)
- One-to-one counting hard
Cardinality principle builds on one-to-one correspondence — you must count correctly to know the last number tells 'how many'
- Addition as combining or putting together two hard
Understanding commutativity of addition requires understanding addition
- How Many in Total? hard
Understanding addition as combining groups requires knowing numbers represent quantities (cardinality)
- One-to-one counting hard
Cardinality principle builds on one-to-one correspondence — you must count correctly to know the last number tells 'how many'
- Thinking Before Starting hard
Explaining in your own words requires connecting new learning to existing knowledge already held in mind
- Persisting When It's Hard hard
Activating prior knowledge requires the foundational habit of persistent engagement with new material
- Classifying living things hard
Must present data before reporting conclusions and making predictions
- Pictograms and tally charts soft
Science data presentation (tables, bar charts) builds on maths pictogram/table skills
- Pictograms and tally charts (age 6+) hard
Constructing pictograms, tally charts, and bar charts requires these display vocabulary terms
- Sorting into categories hard
Constructing pictograms and tally charts requires classifying and counting objects first
- Comparing groups: more or fewer soft
Sorting categories by count benefits from ability to compare quantities
- Counting objects to 20 soft
Counting a set helps when comparing groups, but younger children (GB age 4) can compare using matching without formal counting to 20
- One-to-one counting hard
Cardinality principle builds on one-to-one correspondence — you must count correctly to know the last number tells 'how many'
- Counting objects to 20 hard
Counting objects in each category requires being able to count sets of objects
- One-to-one counting hard
Cardinality principle builds on one-to-one correspondence — you must count correctly to know the last number tells 'how many'
- Sorting Data into Categories soft
Data representation formats (pictograms, tally charts) support organising data
- One-to-one counting hard
Cardinality principle builds on one-to-one correspondence — you must count correctly to know the last number tells 'how many'
- Pictograms and tally charts (age 6+) hard
Organising and representing data requires data, tally, frequency, and category vocabulary
- Sorting into categories hard
Organising data in categories builds on classifying and counting objects in categories
- Comparing groups: more or fewer soft
Sorting categories by count benefits from ability to compare quantities
- Counting objects to 20 soft
Counting a set helps when comparing groups, but younger children (GB age 4) can compare using matching without formal counting to 20
- One-to-one counting hard
Cardinality principle builds on one-to-one correspondence — you must count correctly to know the last number tells 'how many'
- Counting objects to 20 hard
Counting objects in each category requires being able to count sets of objects
- One-to-one counting hard
Cardinality principle builds on one-to-one correspondence — you must count correctly to know the last number tells 'how many'
- Measurable Attributes of Objects soft
Systematic scientific measurement builds on understanding measurable attributes from maths
- Asking Questions soft
Formulating scientific questions builds on the general skill of asking relevant questions to extend understanding, developed in English speaking and listening
- Question Words hard
Generating effective questions requires knowledge of question words (who, what, where, when, why, how)
- Feeling of not understanding soft
Using talk to explore ideas and speculate requires noticing what you don't yet understand — the comprehension-monitoring habit in a spoken register
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Observation vs Interpretation soft
Asking good scientific questions requires noticing the distinction between observation and interpretation — a question like 'why did this happen?' only makes sense once you've separated what you saw from what you inferred
- Feeling of not understanding soft
Noticing the observation/interpretation distinction requires monitoring your own thinking — the universal comprehension-monitoring habit applied to scientific reasoning
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Feeling of not understanding soft
Asking scientific questions is the science-domain expression of the universal comprehension-monitoring habit: noticing what you don't yet understand
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Persisting When It's Hard soft
Scientific enquiry requires persistence through uncertainty — the universal persistence habit underpins willingness to keep investigating
- Asking Questions soft
Formulating scientific questions builds on the general skill of asking relevant questions to extend understanding, developed in English speaking and listening
- Question Words hard
Generating effective questions requires knowledge of question words (who, what, where, when, why, how)
- Feeling of not understanding soft
Using talk to explore ideas and speculate requires noticing what you don't yet understand — the comprehension-monitoring habit in a spoken register
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Observation vs Interpretation soft
Asking good scientific questions requires noticing the distinction between observation and interpretation — a question like 'why did this happen?' only makes sense once you've separated what you saw from what you inferred
- Feeling of not understanding soft
Noticing the observation/interpretation distinction requires monitoring your own thinking — the universal comprehension-monitoring habit applied to scientific reasoning
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Feeling of not understanding soft
Asking scientific questions is the science-domain expression of the universal comprehension-monitoring habit: noticing what you don't yet understand
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Persisting When It's Hard soft
Scientific enquiry requires persistence through uncertainty — the universal persistence habit underpins willingness to keep investigating
- Building Writing Stamina soft
Reporting science findings orally and in writing draws on the non-fiction writing skills (recounts, explanations) established in English
- Expressing Feelings with Words soft
Writing about real events draws on the ability to put feelings into words — the SEL skill of expressing emotions verbally before encoding them in written form
- Triggers and Causes of Feelings soft
Expressing feelings in words benefits from understanding triggers
- Naming Basic Emotions soft
Calming strategies benefit from naming the emotion you're trying to manage
- Words for Big Feelings hard
Calming strategies (calm, breathe, settle) rely on knowing this vocabulary to name and apply the techniques
- Writing Process Vocabulary hard
Informative writing requires knowing 'genre', 'audience', 'purpose', and 'detail' as concepts
- Expressing & Justifying Opinions soft
Oral expression skills support understanding formality in speech
- Exploring Ideas Through Talk soft
Conversational skills provide foundation for evaluating viewpoints
- Feeling of not understanding soft
Using talk to explore ideas and speculate requires noticing what you don't yet understand — the comprehension-monitoring habit in a spoken register
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Writing Process Vocabulary hard
Oral composition requires vocabulary like 'compose', 'sentence', and 'sequence' to participate meaningfully in the exercise
- Simple Stories with Beginning and Ending hard
Writing about real events builds on narrative writing skills
- Rote counting to 100 soft
Sequencing events in narrative writing draws on the ordinal/sequential thinking developed through counting
- Writing Process Vocabulary hard
Writing simple narratives requires 'narrative', 'sequence', 'beginning', 'middle', 'ending' as shared vocabulary
- Expressing & Justifying Opinions soft
Oral expression skills support understanding formality in speech
- Exploring Ideas Through Talk soft
Conversational skills provide foundation for evaluating viewpoints
- Feeling of not understanding soft
Using talk to explore ideas and speculate requires noticing what you don't yet understand — the comprehension-monitoring habit in a spoken register
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Writing Process Vocabulary hard
Oral composition requires vocabulary like 'compose', 'sentence', and 'sequence' to participate meaningfully in the exercise
- Writing Process Vocabulary hard
Writing for different purposes requires the vocabulary of purpose, genre, recount, and instruction
- Simple tests and experiments hard
Must do simple tests before setting up formal fair tests with controlled variables
- Asking Questions soft
Formulating scientific questions builds on the general skill of asking relevant questions to extend understanding, developed in English speaking and listening
- Question Words hard
Generating effective questions requires knowledge of question words (who, what, where, when, why, how)
- Feeling of not understanding soft
Using talk to explore ideas and speculate requires noticing what you don't yet understand — the comprehension-monitoring habit in a spoken register
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Observation vs Interpretation soft
Asking good scientific questions requires noticing the distinction between observation and interpretation — a question like 'why did this happen?' only makes sense once you've separated what you saw from what you inferred
- Feeling of not understanding soft
Noticing the observation/interpretation distinction requires monitoring your own thinking — the universal comprehension-monitoring habit applied to scientific reasoning
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Feeling of not understanding soft
Asking scientific questions is the science-domain expression of the universal comprehension-monitoring habit: noticing what you don't yet understand
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Persisting When It's Hard soft
Scientific enquiry requires persistence through uncertainty — the universal persistence habit underpins willingness to keep investigating
Unlocks2
- Fair testing (age 9+)hardAges 9—11
- Using evidence to answer questionshardAges 7—9