Changing Scientific Knowledge
METAEvaluate competing scientific explanations about dinosaurs by weighing fossil evidence — understanding that scientific knowledge changes as new fossils are discovered and new methods of analysis are developed
Mastery Evidence
- Give an example of a scientific idea about dinosaurs that changed when new evidence was found
- Explain that different scientists may interpret the same fossil evidence differently
- State that the best scientific explanation is the one supported by the most evidence from multiple sources
Assessment Prompt
“If [child] read two different explanations for why dinosaurs went extinct, could they discuss what evidence supports each idea and why scientists sometimes change their minds?”
Prerequisites6
- Evidence Supporting IdeassoftAges 9—11
- How Palaeontologists WorksoftAges 9—11
- Palaeoart & SpeculationsoftAges 9—11
- Dinosaurs Around the WorldsoftAges 7—9
- The K-Pg Extinction EventsoftAges 9—11
- Birds Evolved from DinosaurssoftAges 9—11
Show full prerequisite tree
- Evidence Supporting Ideas soft
Curriculum skill of evaluating scientific evidence supports evaluating competing dinosaur explanations
- Science Can Be Revised soft
Evaluating evidence strength and arguing for or against scientific claims requires understanding that all scientific knowledge is provisional and subject to revision
- Could there be another explanation? soft
Provisionality of scientific knowledge is grounded in the habit of always seeking alternative explanations — science revises because scientists keep asking 'is there another way to explain this?'
- Changing Your Mind with Evidence hard
Actively seeking alternative explanations requires first having the habit of not defending your original interpretation against the evidence
- Observation vs Interpretation hard
Being willing to revise a hypothesis requires first distinguishing observation from interpretation — you can only update your interpretation if you recognise it as separate from the data
- 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
- Learning from Mistakes soft
Changing your mind when evidence contradicts your prediction is the science form of the universal error-analysis habit — treating surprises as information rather than failures
- Checking Your Own Work soft
Investigating why something was wrong grows from the earlier habit of checking whether an answer seems right
- Trying a New Approach hard
Error analysis requires the habit of trying different approaches — you need to have tried something before you can analyse what went wrong
- Feeling of not understanding hard
Strategy switching is triggered by noticing the current approach isn't working — requires comprehension monitoring
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Planning a Task hard
Switching strategy requires first having made a plan — you can only switch away from something you chose deliberately
- Checking Your Own Work hard
Planning before a task grows from the habit of checking back after finishing — both are self-regulatory bookends
- Understanding Why soft
Asking 'is there another explanation?' is the scientific form of the universal elaborative-interrogation habit
- Teaching It Back hard
Asking 'why does this work?' requires first being able to explain what you know — interrogation builds on explanation
- 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)
- 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
- Reflecting After Learning soft
Understanding that scientific knowledge changes over time requires the universal learning-reflection habit applied at the scale of a whole discipline
- Teaching It Back soft
Articulating what helped in the learning process requires the 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
- Learning from Mistakes hard
Reflecting on the learning process requires the ability to analyse errors — reflection without error analysis stays superficial
- Checking Your Own Work soft
Investigating why something was wrong grows from the earlier habit of checking whether an answer seems right
- Trying a New Approach hard
Error analysis requires the habit of trying different approaches — you need to have tried something before you can analyse what went wrong
- Feeling of not understanding hard
Strategy switching is triggered by noticing the current approach isn't working — requires comprehension monitoring
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Planning a Task hard
Switching strategy requires first having made a plan — you can only switch away from something you chose deliberately
- Checking Your Own Work hard
Planning before a task grows from the habit of checking back after finishing — both are self-regulatory bookends
- Correlation vs Causation hard
Understanding that scientific knowledge is provisional requires seeing concrete examples of how apparent patterns and causal claims get revised — the correlation/causation distinction is one key mechanism
- Describing Rules & Patterns soft
Evaluating whether a pattern is truly causal requires the universal generalisation habit — asking whether the rule you think you've spotted actually holds across cases
- Spotting Patterns hard
Generalising a rule requires first being able to spot the recurring pattern that the rule captures
- Connecting New & Old Ideas soft
Spotting patterns across domains is an extension of the habit of connecting new ideas to existing ones
- Thinking Before Starting hard
Making connections between new and old ideas requires the habit of activating prior knowledge first
- Persisting When It's Hard hard
Activating prior knowledge requires the foundational habit of persistent engagement with new material
- Could there be another explanation? hard
Recognising that correlation is not causation requires the habit of generating alternative explanations — the correlation/causation distinction is a specific case of asking 'is there another explanation?'
- Changing Your Mind with Evidence hard
Actively seeking alternative explanations requires first having the habit of not defending your original interpretation against the evidence
- Observation vs Interpretation hard
Being willing to revise a hypothesis requires first distinguishing observation from interpretation — you can only update your interpretation if you recognise it as separate from the data
- 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
- Learning from Mistakes soft
Changing your mind when evidence contradicts your prediction is the science form of the universal error-analysis habit — treating surprises as information rather than failures
- Checking Your Own Work soft
Investigating why something was wrong grows from the earlier habit of checking whether an answer seems right
- Trying a New Approach hard
Error analysis requires the habit of trying different approaches — you need to have tried something before you can analyse what went wrong
- Feeling of not understanding hard
Strategy switching is triggered by noticing the current approach isn't working — requires comprehension monitoring
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Planning a Task hard
Switching strategy requires first having made a plan — you can only switch away from something you chose deliberately
- Checking Your Own Work hard
Planning before a task grows from the habit of checking back after finishing — both are self-regulatory bookends
- Understanding Why soft
Asking 'is there another explanation?' is the scientific form of the universal elaborative-interrogation habit
- Teaching It Back hard
Asking 'why does this work?' requires first being able to explain what you know — interrogation builds on explanation
- 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)
- 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
- 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)
- 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)
- 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)
- 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
- Drawing conclusions from evidence (age 9+) hard
Must present own findings before evaluating strength of others' evidence
- Drawing conclusions from evidence hard
Must draw conclusions and make predictions before using results to set up further tests
- 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)
- 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
- 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
- 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)
- 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
- 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
- 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
- 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
- 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
- Controlling variables hard
Must plan enquiries independently before designing follow-up investigations from predictions
- Drawing conclusions from evidence hard
Must draw conclusions before identifying patterns and using evidence to support findings
- 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
- 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
- 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
- Addition as combining or putting together two hard
Reading/writing the + symbol requires understanding what addition means
- Subtraction as taking away or separating hard
Reading/writing the − symbol requires understanding what subtraction means
- 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)
- 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
- Counting objects to 20 hard
Counting objects in each category requires being able to count sets of objects
- 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 hard
Counting objects in each category requires being able to count sets of objects
- 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
- 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
Asking scientific questions is the science-domain expression of the universal comprehension-monitoring habit: noticing what you don't yet understand
- 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
- 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
- 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
- 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
Asking scientific questions is the science-domain expression of the universal comprehension-monitoring habit: noticing what you don't yet understand
- Persisting When It's Hard soft
Scientific enquiry requires persistence through uncertainty — the universal persistence habit underpins willingness to keep investigating
- Reading between the lines soft
Using evidence to answer scientific questions mirrors the skill of asking and answering questions about key details in informational texts in English
- Could there be another explanation? soft
Identifying similarities and differences in evidence opens up space for alternative explanations — patterns that differ from expectations prompt the habit of seeking alternatives
- Changing Your Mind with Evidence hard
Actively seeking alternative explanations requires first having the habit of not defending your original interpretation against the evidence
- Observation vs Interpretation hard
Being willing to revise a hypothesis requires first distinguishing observation from interpretation — you can only update your interpretation if you recognise it as separate from the data
- 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
- Learning from Mistakes soft
Changing your mind when evidence contradicts your prediction is the science form of the universal error-analysis habit — treating surprises as information rather than failures
- Checking Your Own Work soft
Investigating why something was wrong grows from the earlier habit of checking whether an answer seems right
- Trying a New Approach hard
Error analysis requires the habit of trying different approaches — you need to have tried something before you can analyse what went wrong
- Feeling of not understanding hard
Strategy switching is triggered by noticing the current approach isn't working — requires comprehension monitoring
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Planning a Task hard
Switching strategy requires first having made a plan — you can only switch away from something you chose deliberately
- Checking Your Own Work hard
Planning before a task grows from the habit of checking back after finishing — both are self-regulatory bookends
- Understanding Why soft
Asking 'is there another explanation?' is the scientific form of the universal elaborative-interrogation habit
- Teaching It Back hard
Asking 'why does this work?' requires first being able to explain what you know — interrogation builds on explanation
- 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
- Number bonds to 9 soft
Explaining how to find number bonds to 10 exercises showing thinking with objects
- 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
- Addition as combining or putting together two hard
Understanding commutativity of addition requires understanding addition
- 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
- Spotting Patterns soft
Identifying similarities, differences, and changes in scientific data is the science form of the universal pattern-and-structure recognition habit
- Connecting New & Old Ideas soft
Spotting patterns across domains is an extension of the habit of connecting new ideas to existing ones
- Thinking Before Starting hard
Making connections between new and old ideas requires the habit of activating prior knowledge first
- Persisting When It's Hard hard
Activating prior knowledge requires the foundational habit of persistent engagement with new material
- Fair testing (age 8+) hard
Must plan enquiries with variable control before running fair tests on prototypes
- Comparing Possible Solutions hard
Must compare solutions before planning fair tests to improve prototypes
- Simple Design Problems hard
Must define a design problem before generating and comparing multiple solutions
- Comparing Design Solutions hard
Must analyse simple design comparisons before formally defining design problems with criteria/constraints
- Asking scientific questions hard
Must ask questions about problems before modelling design solutions
- Asking Questions soft
Formulating scientific questions builds on the general skill of asking relevant questions to extend understanding, developed in English speaking and listening
- 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
Asking scientific questions is the science-domain expression of the universal comprehension-monitoring habit: noticing what you don't yet understand
- Persisting When It's Hard soft
Scientific enquiry requires persistence through uncertainty — the universal persistence habit underpins willingness to keep investigating
- Choosing a Strategy soft
Choosing an enquiry approach and evaluating whether it worked is the science form of the universal strategy-evaluation habit
- Trying a New Approach hard
Evaluating a strategy requires having deliberately chosen and tried different strategies — you need the switching habit first
- Feeling of not understanding hard
Strategy switching is triggered by noticing the current approach isn't working — requires comprehension monitoring
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Planning a Task hard
Switching strategy requires first having made a plan — you can only switch away from something you chose deliberately
- Checking Your Own Work hard
Planning before a task grows from the habit of checking back after finishing — both are self-regulatory bookends
- Guided Multi-Step Problem Solving soft
The LtL strategy evaluation skill (9-10) builds on the early scaffolded habit of checking reasonableness in maths introduced at 6-7
- Feeling of not understanding soft
Evaluating whether a maths solution is reasonable applies the universal comprehension-monitoring habit
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Addition and subtraction within 20 soft
Choosing strategies for adding within 20 requires planning and evaluating approaches
- 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)
- Fluent adding and subtracting within 10 hard
Strategies for within-20 calculation build on fluent within-10 knowledge
- 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
- Addition as combining or putting together two hard
Fluency with addition within 5 requires understanding addition as combining
- How Many in Total? hard
Understanding addition as combining groups requires knowing numbers represent quantities (cardinality)
- Subtraction as taking away or separating hard
Fluency with subtraction within 5 requires understanding subtraction as taking away
- How Many in Total? hard
Understanding subtraction as taking away requires knowing numbers represent quantities (cardinality)
- Planning a Task soft
Planning a mathematical approach is the domain-specific application of the universal task-planning habit
- Checking Your Own Work hard
Planning before a task grows from the habit of checking back after finishing — both are self-regulatory bookends
- Adding and subtracting hard
Word problems to 20 require the procedural ability to add/subtract to 20
- 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
Fluency with addition within 5 requires understanding addition as combining
- Subtraction as taking away or separating hard
Fluency with subtraction within 5 requires understanding subtraction as taking away
- Addition and subtraction word problems soft
Word problems to 20 extend from word problems within 10 — same problem structures at a higher range
- Representing Addition and Subtraction hard
Solving word problems within 10 requires ability to represent the operations with objects/drawings
- Addition as combining or putting together two hard
Representing addition with objects/drawings requires understanding what addition means
- How Many in Total? hard
Understanding addition as combining groups requires knowing numbers represent quantities (cardinality)
- Subtraction as taking away or separating hard
Representing subtraction with objects/drawings requires understanding what subtraction means
- How Many in Total? hard
Understanding subtraction as taking away requires knowing numbers represent quantities (cardinality)
- Making Sense of Problems hard
Age 6-7 problem-solving builds directly on age 5-6 problem-sense-making
- Checking Your Own Work soft
Checking whether a maths answer makes sense applies the universal self-checking habit to a mathematical context
- How Many in Total? soft
Problem sense-making at 5-6 requires cardinality understanding to make sense of 'how many' problems
- 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 to Texts Read Aloud soft
Making sense of word problems requires listening comprehension skills
- Addition as combining or putting together two soft
Making sense of addition problems 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'
- Persisting When It's Hard soft
Mathematical perseverance with problems is the domain-specific application of the universal persistence habit
- Multi-Step Problem Solving soft
The LtL strategy evaluation skill (9-10) builds on the maths-specific checking habit developed with teacher support at 7-8
- Trying a New Approach soft
Trying a different mathematical strategy when stuck is the maths-specific application of the universal strategy-switching habit
- Feeling of not understanding hard
Strategy switching is triggered by noticing the current approach isn't working — requires comprehension monitoring
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Planning a Task hard
Switching strategy requires first having made a plan — you can only switch away from something you chose deliberately
- Checking Your Own Work hard
Planning before a task grows from the habit of checking back after finishing — both are self-regulatory bookends
- Building sentences soft
Cross-subject: making sense of multi-step word problems requires understanding that sentences express complete thoughts (reading comprehension foundation)
- Feeling of not understanding soft
Evaluating whether a maths solution is reasonable applies the universal comprehension-monitoring habit
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Addition and subtraction within 20 soft
Choosing strategies for adding within 20 requires planning and evaluating approaches
- 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
- Fluent adding and subtracting within 10 hard
Strategies for within-20 calculation build on fluent within-10 knowledge
- 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
Fluency with addition within 5 requires understanding addition as combining
- Subtraction as taking away or separating hard
Fluency with subtraction within 5 requires understanding subtraction as taking away
- Planning a Task soft
Planning a mathematical approach is the domain-specific application of the universal task-planning habit
- Checking Your Own Work hard
Planning before a task grows from the habit of checking back after finishing — both are self-regulatory bookends
- Adding and subtracting hard
Word problems to 20 require the procedural ability to add/subtract to 20
- Addition and subtraction word problems soft
Word problems to 20 extend from word problems within 10 — same problem structures at a higher range
- Representing Addition and Subtraction hard
Solving word problems within 10 requires ability to represent the operations with objects/drawings
- Addition as combining or putting together two hard
Representing addition with objects/drawings requires understanding what addition means
- Subtraction as taking away or separating hard
Representing subtraction with objects/drawings requires understanding what subtraction means
- Making Sense of Problems hard
Age 6-7 problem-solving builds directly on age 5-6 problem-sense-making
- Checking Your Own Work soft
Checking whether a maths answer makes sense applies the universal self-checking habit to a mathematical context
- How Many in Total? soft
Problem sense-making at 5-6 requires cardinality understanding to make sense of 'how many' problems
- 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 to Texts Read Aloud soft
Making sense of word problems requires listening comprehension skills
- Addition as combining or putting together two soft
Making sense of addition problems 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'
- Persisting When It's Hard soft
Mathematical perseverance with problems is the domain-specific application of the universal persistence habit
- Inverse: addition undoes subtraction hard
Using inverse to check answers requires understanding the inverse relationship
- Finding a missing number in addition hard
Inverse relationship builds on understanding subtraction as unknown-addend
- Addition as combining or putting together two hard
Unknown-addend requires understanding both addition and subtraction
- How Many in Total? hard
Understanding addition as combining groups requires knowing numbers represent quantities (cardinality)
- Subtraction as taking away or separating hard
Subtraction as unknown-addend reframes subtraction conceptually
- How Many in Total? hard
Understanding subtraction as taking away requires knowing numbers represent quantities (cardinality)
- Addition and subtraction within 1000 soft
Estimating and checking applies to three-digit calculations
- The three digits of a three-digit number hard
Three-digit operations require three-digit place-value understanding
- The two digits of a two-digit number hard
Must understand two-digit place value before extending to hundreds
- A Ten Is Ten Ones hard
Understanding tens and ones place value requires the concept of 10 as a bundle
- The teen numbers hard
General two-digit place value extends from understanding teen number composition
- Fluent adding and subtracting within 100 hard
Adding/subtracting within 1000 extends within-100 skills
- Addition and subtraction within 20 hard
Adding within 100 extends within-20 strategies to larger numbers
- The two digits of a two-digit number hard
Adding within 100 using PV requires understanding tens and ones
- Addition and subtraction within 20 hard
Fluency within 20 requires prior strategy-based adding/subtracting within 20
- Fluent adding and subtracting within 100 hard
Columnar methods require fluent within-100 addition/subtraction
- Addition and subtraction within 20 hard
Adding within 100 extends within-20 strategies to larger numbers
- The two digits of a two-digit number hard
Adding within 100 using PV requires understanding tens and ones
- Addition and subtraction within 20 hard
Fluency within 20 requires prior strategy-based adding/subtracting within 20
- Addition and subtraction within 1000 hard
Formal columnar methods build on conceptual understanding of composing/decomposing
- The three digits of a three-digit number hard
Three-digit operations require three-digit place-value understanding
- Fluent adding and subtracting within 100 hard
Adding/subtracting within 1000 extends within-100 skills
- Fluent adding and subtracting within 100 hard
Solving word problems within 100 requires fluent computation within 100
- Addition and subtraction within 20 hard
Adding within 100 extends within-20 strategies to larger numbers
- The two digits of a two-digit number hard
Adding within 100 using PV requires understanding tens and ones
- Addition and subtraction within 20 hard
Fluency within 20 requires prior strategy-based adding/subtracting within 20
- Adding and subtracting hard
Word problems to 20 require the procedural ability to add/subtract to 20
- Addition and subtraction word problems soft
Word problems to 20 extend from word problems within 10 — same problem structures at a higher range
- Representing Addition and Subtraction hard
Solving word problems within 10 requires ability to represent the operations with objects/drawings
- Learning from Mistakes hard
Evaluating whether a strategy helped requires being able to analyse what went wrong when it didn't
- Checking Your Own Work soft
Investigating why something was wrong grows from the earlier habit of checking whether an answer seems right
- Trying a New Approach hard
Error analysis requires the habit of trying different approaches — you need to have tried something before you can analyse what went wrong
- Feeling of not understanding hard
Strategy switching is triggered by noticing the current approach isn't working — requires comprehension monitoring
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Planning a Task hard
Switching strategy requires first having made a plan — you can only switch away from something you chose deliberately
- Checking Your Own Work hard
Planning before a task grows from the habit of checking back after finishing — both are self-regulatory bookends
- Fair testing hard
Must set up simple fair tests before independently planning enquiries with variable control
- 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
- 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
- Planning a Task soft
Planning a scientific enquiry is the domain-specific application of the universal task-planning habit
- Checking Your Own Work hard
Planning before a task grows from the habit of checking back after finishing — both are self-regulatory bookends
- Describing Rules & Patterns soft
Using test results to make predictions and set up further tests is the science form of the universal generalisation habit — describing a pattern as a rule and testing it further
- Spotting Patterns hard
Generalising a rule requires first being able to spot the recurring pattern that the rule captures
- Connecting New & Old Ideas soft
Spotting patterns across domains is an extension of the habit of connecting new ideas to existing ones
- Thinking Before Starting hard
Making connections between new and old ideas requires the habit of activating prior knowledge first
- Persisting When It's Hard hard
Activating prior knowledge requires the foundational habit of persistent engagement with new material
- Writing opinions soft
Scientific reporting with conclusions builds on writing composition/opinion skills
- Writing Process Vocabulary hard
Opinion writing requires knowing the genre term 'opinion' and understanding audience and purpose
- 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
- Planning Ideas Before Writing soft
Producing a well-organised science report depends on the planning and pre-writing strategies developed in English composition
- 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
- 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
- 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
- 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 Stories with Beginning and Ending hard
Organising paragraphs requires narrative writing ability
- 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
Organising into paragraphs requires 'paragraph', 'heading', 'theme', and 'organisation' as named concepts
- 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 Stories with Beginning and Ending soft
Experience with narrative writing supports planning narratives
- 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
Planning before writing requires 'plan', 'draft', 'compose', 'sequence', and 'key words' as working 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
- Basic Informational Writing soft
Presenting scientific findings with conclusions mirrors the structure of an informative/explanatory text with supporting facts taught in English
- Writing Craft Vocabulary soft
Informative/explanatory writing requires 'form', 'structure', 'coherence', and 'evidence' vocabulary
- Writing to inform hard
Structured informative writing with facts/definitions builds on simple informative writing
- 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
- Classifying living things (age 9+) hard
Must record complex data before presenting findings with causal relationships and trust assessment
- Classifying living things hard
Must present data in basic formats before using complex graphs and scientific diagrams
- 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
- 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
- Bar graphs soft
Complex science graphs (scatter, line) build on maths discrete/continuous data graphing
- Representing numbers with objects (age 8+) hard
Scaled bar charts are prerequisite to continuous data and time graphs
- Pictograms and tally charts hard
Constructing simple pictograms/tables is prerequisite to scaled versions
- 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
- 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'
- Pictograms and tally charts (age 6+) hard
Drawing scaled bar charts and pictograms requires axis, scale, label, and frequency vocabulary
- Sorting Data into Categories hard
Drawing picture/bar graphs extends organising and representing 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
- 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'
- Pictograms and tally charts (age 6+) hard
Distinguishing discrete from continuous data and choosing graphical methods requires these terms
- Understanding Why soft
Reporting causal relationships and a degree of trust in results requires the elaborative-interrogation habit of asking why things are true
- Teaching It Back hard
Asking 'why does this work?' requires first being able to explain what you know — interrogation builds on explanation
- 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
- Learning from Mistakes soft
Evaluating the strength of evidence and refuting arguments draws on the universal error-analysis habit — asking why a claim might be wrong
- Checking Your Own Work soft
Investigating why something was wrong grows from the earlier habit of checking whether an answer seems right
- Trying a New Approach hard
Error analysis requires the habit of trying different approaches — you need to have tried something before you can analyse what went wrong
- Feeling of not understanding hard
Strategy switching is triggered by noticing the current approach isn't working — requires comprehension monitoring
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Planning a Task hard
Switching strategy requires first having made a plan — you can only switch away from something you chose deliberately
- Checking Your Own Work hard
Planning before a task grows from the habit of checking back after finishing — both are self-regulatory bookends
- Inferring Characters' Feelings and Motives soft
Evaluating scientific evidence to support or refute arguments draws on the inference and evidence-reading skills developed in English comprehension
- Predicting what happens next soft
Drawing inferences about characters' feelings and justifying them with evidence is enriched by prior experience predicting what might happen next — both require reading ahead of the literal text
- Reading between the lines hard
Inferring characters' feelings/motives with evidence builds on identifying key details and making simple inferences
- Self-Correcting While Reading soft
Inferring and justifying inferences with text evidence requires the metacognitive habit of checking that the text makes sense as you read — a reader who doesn't self-monitor will miss the cues on which inference depends
- Monitoring Comprehension soft
Self-correcting while reading requires the awareness that decoding correctly is not the same as understanding
- Feeling of not understanding soft
Noticing the decoding/understanding gap is the English-specific form of the universal comprehension-monitoring habit
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Reading for Meaning hard
Noticing the gap between decoding and understanding requires first having the foundational idea that reading means making meaning
- Feeling of not understanding soft
Understanding that reading means making meaning is the English-domain grounding of the universal habit of noticing when you don't 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
- Feeling of not understanding soft
Checking that a text makes sense while reading and self-correcting is the reading-domain form of the universal comprehension-monitoring habit
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Reading with Expression and Accuracy soft
Reading comprehension monitoring builds on earlier fluency skills
- Blending Sounds to Read Words soft
Blending helps attempt unfamiliar words but sight words bypass phonics
- Story Sequence and Central Message soft
Drawing inferences about motivations is enriched by the prior ability to understand and discuss the sequence of events and connections between them — inference relies on understanding what happened and in what order
- Main Topic of Informational Texts soft
Understanding main topic and key details of informational texts supports discussing how items of information are related
- Reading with Expression and Accuracy soft
Expressive reading supports comprehension of sequence and meaning
- Blending Sounds to Read Words soft
Blending helps attempt unfamiliar words but sight words bypass phonics
- Domain Vocabulary Across Subject Areas soft
Drawing inferences from complex texts requires academic vocabulary for reasoning about evidence and argument
- Discussing and Questioning New Words hard
Academic and domain-specific vocabulary acquisition builds on the habit of discussing word meanings and linking new vocabulary to known words
- Defining Words soft
Defining academic words requires the ability to define words by category and attribute
- How Many in Total? soft
Sorting and categorising objects uses the same counting/cardinality skills from maths
- 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'
- Correlation vs Causation soft
Evaluating the strength of scientific evidence requires recognising when apparent correlations might not be causal — a key dimension of evidence quality
- Describing Rules & Patterns soft
Evaluating whether a pattern is truly causal requires the universal generalisation habit — asking whether the rule you think you've spotted actually holds across cases
- Spotting Patterns hard
Generalising a rule requires first being able to spot the recurring pattern that the rule captures
- Connecting New & Old Ideas soft
Spotting patterns across domains is an extension of the habit of connecting new ideas to existing ones
- Thinking Before Starting hard
Making connections between new and old ideas requires the habit of activating prior knowledge first
- Persisting When It's Hard hard
Activating prior knowledge requires the foundational habit of persistent engagement with new material
- Could there be another explanation? hard
Recognising that correlation is not causation requires the habit of generating alternative explanations — the correlation/causation distinction is a specific case of asking 'is there another explanation?'
- Changing Your Mind with Evidence hard
Actively seeking alternative explanations requires first having the habit of not defending your original interpretation against the evidence
- Observation vs Interpretation hard
Being willing to revise a hypothesis requires first distinguishing observation from interpretation — you can only update your interpretation if you recognise it as separate from the data
- 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
- Learning from Mistakes soft
Changing your mind when evidence contradicts your prediction is the science form of the universal error-analysis habit — treating surprises as information rather than failures
- Checking Your Own Work soft
Investigating why something was wrong grows from the earlier habit of checking whether an answer seems right
- Trying a New Approach hard
Error analysis requires the habit of trying different approaches — you need to have tried something before you can analyse what went wrong
- Feeling of not understanding hard
Strategy switching is triggered by noticing the current approach isn't working — requires comprehension monitoring
- Asking for Help hard
Noticing confusion and acting on it requires already knowing that asking for help is a valid response to being stuck
- Planning a Task hard
Switching strategy requires first having made a plan — you can only switch away from something you chose deliberately
- Checking Your Own Work hard
Planning before a task grows from the habit of checking back after finishing — both are self-regulatory bookends
- Understanding Why soft
Asking 'is there another explanation?' is the scientific form of the universal elaborative-interrogation habit
- Teaching It Back hard
Asking 'why does this work?' requires first being able to explain what you know — interrogation builds on explanation
- 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)
- 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
- How Palaeontologists Work soft
Evaluating competing scientific explanations about dinosaurs requires understanding how palaeontologists gather and interpret evidence in the field and lab — methodology underpins evidence evaluation
- Fossilised Dinosaur Dung soft
Describing palaeontological field and lab work includes coprolite analysis as an example of trace fossil interpretation — students who know what coprolites are and what they reveal will understand the breadth of palaeontological methods
- Fossils & Palaeontologists hard
Must understand what fossils are before distinguishing body vs trace fossils
- Dinosaurs Were Real hard
Must understand dinosaurs are extinct before learning fossils are how we know about them
- Fossils & Palaeontologists hard
Must understand what fossils are before learning how they form in detail
- Dinosaurs Were Real hard
Must understand dinosaurs are extinct before learning fossils are how we know about them
- Real Dinosaurs vs Fiction soft
Understanding how fossils form (and that fossil evidence is the basis of dinosaur science) is enriched by the prior understanding that dinosaurs are real animals distinct from fictional or commonly-confused creatures — scientific reasoning starts from accurate categorisation
- How fossils form soft
Curriculum fossil formation topic (GB Y3) directly underpins detailed dinosaur fossil formation understanding
- States of Matter Vocabulary soft
Describing physical properties of materials uses solid/liquid/gas vocabulary introduced in the states of matter LANGUAGE node
- Living, Dead & Never Alive soft
Understanding living vs dead supports understanding what gets fossilised
- Living Things Vocabulary hard
Comparing living, dead, and never-been-alive things requires the life processes vocabulary to give reasons
- Plant-Eaters vs Meat-Eaters soft
Understanding herbivore/carnivore classification helps interpret coprolite contents
- Herbivores, Carnivores & Omnivores soft
Curriculum herbivore/carnivore/omnivore classification provides foundation for dinosaur diet sorting
- Types of Fossils soft
Understanding different fossil types helps contextualise what palaeontologists look for
- Fossils & Palaeontologists hard
Must understand what fossils are before distinguishing body vs trace fossils
- Dinosaurs Were Real hard
Must understand dinosaurs are extinct before learning fossils are how we know about them
- Fossils & Palaeontologists hard
Must understand what fossils are before learning how they form in detail
- Dinosaurs Were Real hard
Must understand dinosaurs are extinct before learning fossils are how we know about them
- Real Dinosaurs vs Fiction soft
Understanding how fossils form (and that fossil evidence is the basis of dinosaur science) is enriched by the prior understanding that dinosaurs are real animals distinct from fictional or commonly-confused creatures — scientific reasoning starts from accurate categorisation
- How fossils form soft
Curriculum fossil formation topic (GB Y3) directly underpins detailed dinosaur fossil formation understanding
- States of Matter Vocabulary soft
Describing physical properties of materials uses solid/liquid/gas vocabulary introduced in the states of matter LANGUAGE node
- Living, Dead & Never Alive soft
Understanding living vs dead supports understanding what gets fossilised
- Living Things Vocabulary hard
Comparing living, dead, and never-been-alive things requires the life processes vocabulary to give reasons
- Fossils & Palaeontologists hard
Must understand what fossils are before learning how they form in detail
- Dinosaurs Were Real hard
Must understand dinosaurs are extinct before learning fossils are how we know about them
- Real Dinosaurs vs Fiction soft
Understanding how fossils form (and that fossil evidence is the basis of dinosaur science) is enriched by the prior understanding that dinosaurs are real animals distinct from fictional or commonly-confused creatures — scientific reasoning starts from accurate categorisation
- How fossils form soft
Curriculum fossil formation topic (GB Y3) directly underpins detailed dinosaur fossil formation understanding
- States of Matter Vocabulary soft
Describing physical properties of materials uses solid/liquid/gas vocabulary introduced in the states of matter LANGUAGE node
- Living, Dead & Never Alive soft
Understanding living vs dead supports understanding what gets fossilised
- Living Things Vocabulary hard
Comparing living, dead, and never-been-alive things requires the life processes vocabulary to give reasons
- Reading Dinosaur Trackways soft
Understanding how palaeontologists work in the field and lab includes the use of trace fossils like trackways as evidence — having previously studied trackway inference prepares students to understand fieldwork procedures more concretely
- Fossils & Palaeontologists hard
Must understand what fossils are before distinguishing body vs trace fossils
- Dinosaurs Were Real hard
Must understand dinosaurs are extinct before learning fossils are how we know about them
- Fossils & Palaeontologists hard
Must understand what fossils are before learning how they form in detail
- Dinosaurs Were Real hard
Must understand dinosaurs are extinct before learning fossils are how we know about them
- Real Dinosaurs vs Fiction soft
Understanding how fossils form (and that fossil evidence is the basis of dinosaur science) is enriched by the prior understanding that dinosaurs are real animals distinct from fictional or commonly-confused creatures — scientific reasoning starts from accurate categorisation
- How fossils form soft
Curriculum fossil formation topic (GB Y3) directly underpins detailed dinosaur fossil formation understanding
- States of Matter Vocabulary soft
Describing physical properties of materials uses solid/liquid/gas vocabulary introduced in the states of matter LANGUAGE node
- Living, Dead & Never Alive soft
Understanding living vs dead supports understanding what gets fossilised
- Living Things Vocabulary hard
Comparing living, dead, and never-been-alive things requires the life processes vocabulary to give reasons
- Palaeoart & Speculation soft
Evaluating competing scientific explanations is enriched by understanding how palaeoart works — students who know that dinosaur reconstructions involve informed speculation can better distinguish evidence from interpretation
- Fossils & Palaeontologists hard
Must understand fossils as evidence before evaluating how artists use them
- Dinosaurs Were Real hard
Must understand dinosaurs are extinct before learning fossils are how we know about them
- Birds Evolved from Dinosaurs soft
Feathered dinosaur knowledge directly affects palaeoart reconstruction accuracy
- How animals adapt to environments soft
Curriculum adaptation/evolution concept underpins understanding of dinosaur-to-bird evolution
- Ocean Animal Adaptations soft
Ocean animal adaptations connect to curriculum adaptation/evolution concepts
- Life Changed Over Time soft
Within GB sequence, knowing life changed over time supports understanding adaptation; US teaches adaptation earlier without this prerequisite
- Life Cycles of Organisms soft
Understanding life cycles supports understanding how species change across generations
- Animal Classification Vocabulary hard
Describing unique and diverse life cycles requires metamorphosis, gestation, larva, pupa vocabulary
- Drawing Life Cycle Diagrams hard
Modelling life cycles of living things requires the life cycle diagram representation
- Sorting into categories soft
Life cycle diagrams require classifying organisms into categories — the same sorting skill used in mt_xppl18avyY
- 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'
- Animal Life Stages hard
Must know basic offspring-to-adult stages before comparing diverse life cycles
- What Living Things Need soft
Understanding survival needs supports understanding growth and development
- Living Things Vocabulary soft
Describing what plants and animals need to survive uses life processes vocabulary: nutrition, growth, sensitivity
- How Animals Have Babies soft
Animal babies topic enriched by curriculum coverage of offspring and life stages
- Pollination & Seed Dispersal soft
Plant life cycle knowledge supports understanding diverse life cycles across organisms
- Seeds & Plant Growth hard
Must understand germination before learning full life cycle including seed dispersal
- Living Things Vocabulary soft
Describing what plants and animals need to survive uses life processes vocabulary: nutrition, growth, sensitivity
- How Plant Parts Work hard
Must know flower function before understanding pollination and seed formation
- Fossils as Evidence hard
Must analyse fossil evidence before drawing the broader conclusion that life has changed over time
- Fossils Reveal Ancient Environments soft
Enrichment knowledge of fossils revealing ancient environments supports formal analysis of fossil data
- Fossils & Palaeontologists hard
Must understand fossils before interpreting what they reveal about past environments
- Dinosaurs Were Real hard
Must understand dinosaurs are extinct before learning fossils are how we know about them
- Evolution vocabulary soft
Interpreting fossil data as evidence of past organisms benefits from fossil record and extinction vocabulary
- How fossils form hard
Must understand fossil formation in rocks before interpreting fossil data for evidence of past life
- States of Matter Vocabulary soft
Describing physical properties of materials uses solid/liquid/gas vocabulary introduced in the states of matter LANGUAGE node
- Living, Dead & Never Alive soft
Understanding living vs dead supports understanding what gets fossilised
- Living Things Vocabulary hard
Comparing living, dead, and never-been-alive things requires the life processes vocabulary to give reasons
- Representing numbers with objects (age 8+) soft
Analysing fossil record data using bar charts depends on scaled bar graph construction skills from Math
- Pictograms and tally charts hard
Constructing simple pictograms/tables is prerequisite to scaled versions
- 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
- 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
- Counting objects to 20 hard
Counting objects in each category requires being able to count sets of objects
- Pictograms and tally charts (age 6+) hard
Drawing scaled bar charts and pictograms requires axis, scale, label, and frequency vocabulary
- Sorting Data into Categories hard
Drawing picture/bar graphs extends organising and representing 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
- Counting objects to 20 hard
Counting objects in each category requires being able to count sets of objects
- Living Things Vocabulary hard
Comparing living, dead, and never-been-alive things requires the life processes vocabulary to give reasons
- Evolution vocabulary hard
Recognising that living things have changed over time and fossils provide evidence requires evolution and fossil record vocabulary
- Evolution vocabulary hard
Understanding that adaptation may lead to evolution requires both 'adaptation' and 'evolution' vocabulary
- Variation & Survival Advantage hard
Must understand variation provides survival advantages before connecting adaptation to evolution
- Inherited characteristics hard
Must understand trait variation before explaining how variation provides survival advantages
- Inheritance Vocabulary hard
Analysing data about inherited traits requires 'inherited characteristic', 'variation', and 'offspring' vocabulary
- Habitats & Basic Needs soft
Habitat knowledge supports understanding how adaptations suit specific environments
- Where Are the Poles? soft
Polar regions enrich the curriculum habitats topic (exploratory age 5 -> curriculum age 6)
- Habitat Vocabulary hard
Describing how habitats provide for basic needs requires habitat, environment, conditions, shelter vocabulary
- What Is a Rainforest? soft
Rainforest habitat knowledge enriches the curriculum habitats topic (exploratory age 5 -> curriculum age 6)
- What Living Things Need hard
Must know basic needs of organisms before understanding how habitats provide for those needs
- Living Things Vocabulary soft
Describing what plants and animals need to survive uses life processes vocabulary: nutrition, growth, sensitivity
- Living, Dead & Never Alive hard
Must distinguish living from non-living before understanding habitats that support living things
- Living Things Vocabulary hard
Comparing living, dead, and never-been-alive things requires the life processes vocabulary to give reasons
- Common minibeasts: naming and recognising hard
Must recognise common minibeasts before exploring where each type lives
- Inheritance Vocabulary hard
Explaining how variation provides survival advantages requires 'variation', 'species', and 'trait' vocabulary
- Changing Environments soft
Environmental change knowledge supports understanding why adaptation matters for survival
- Habitats & Basic Needs hard
Must understand how habitats support organisms before understanding what happens when they change
- Where Are the Poles? soft
Polar regions enrich the curriculum habitats topic (exploratory age 5 -> curriculum age 6)
- Habitat Vocabulary hard
Describing how habitats provide for basic needs requires habitat, environment, conditions, shelter vocabulary
- What Is a Rainforest? soft
Rainforest habitat knowledge enriches the curriculum habitats topic (exploratory age 5 -> curriculum age 6)
- What Living Things Need hard
Must know basic needs of organisms before understanding how habitats provide for those needs
- Living Things Vocabulary soft
Describing what plants and animals need to survive uses life processes vocabulary: nutrition, growth, sensitivity
- Living, Dead & Never Alive hard
Must distinguish living from non-living before understanding habitats that support living things
- Living Things Vocabulary hard
Comparing living, dead, and never-been-alive things requires the life processes vocabulary to give reasons
- Common minibeasts: naming and recognising hard
Must recognise common minibeasts before exploring where each type lives
- Simple Food Chains soft
Food chain knowledge helps understand knock-on effects of environmental change
- Herbivores, Carnivores & Omnivores hard
Must know carnivore/herbivore/omnivore to understand food chains
- Habitats & Basic Needs hard
Must know about habitats and interdependence before learning food chains
- Where Are the Poles? soft
Polar regions enrich the curriculum habitats topic (exploratory age 5 -> curriculum age 6)
- Habitat Vocabulary hard
Describing how habitats provide for basic needs requires habitat, environment, conditions, shelter vocabulary
- What Is a Rainforest? soft
Rainforest habitat knowledge enriches the curriculum habitats topic (exploratory age 5 -> curriculum age 6)
- What Living Things Need hard
Must know basic needs of organisms before understanding how habitats provide for those needs
- Living Things Vocabulary soft
Describing what plants and animals need to survive uses life processes vocabulary: nutrition, growth, sensitivity
- Living, Dead & Never Alive hard
Must distinguish living from non-living before understanding habitats that support living things
- Living Things Vocabulary hard
Comparing living, dead, and never-been-alive things requires the life processes vocabulary to give reasons
- Common minibeasts: naming and recognising hard
Must recognise common minibeasts before exploring where each type lives
- Ocean Animal Variety soft
Food chains benefit from knowing the variety of animals that eat each other
- Minibeasts in the food chain soft
Garden minibeast food chains provide concrete examples for curriculum simple-food-chains
- Common minibeasts: naming and recognising hard
Must know common minibeasts before placing them in food chains
- Rainforest Animals soft
Rainforest animals provide rich examples for simple food chains (exploratory age 5 -> curriculum age 6)
- Habitat Vocabulary soft
Discussing how environments change and pose dangers uses habitat and conditions vocabulary
- Dinosaur Hip Groups hard
Must understand theropods as a group before learning birds evolved from them
- Famous Dinosaur Species hard
Must know common species before classifying them into Saurischia and Ornithischia
- Plant-Eaters vs Meat-Eaters hard
Must understand basic diet classification before advancing to anatomical classification
- Herbivores, Carnivores & Omnivores soft
Curriculum herbivore/carnivore/omnivore classification provides foundation for dinosaur diet sorting
- Dinosaurs Around the World soft
Evaluating competing scientific explanations about dinosaurs is enriched by knowing about the global distribution of dinosaur species and how continental evidence informs competing theories
- Dinosaurs Were Real hard
Must understand dinosaurs existed before learning about their global distribution
- The Mesozoic Era soft
Understanding that different dinosaurs lived on different continents is enriched by the prior knowledge that different dinosaurs lived in different time periods — both are dimensions of dinosaur geographic/temporal distribution
- Dinosaurs Were Real hard
Must understand dinosaurs existed long ago before placing them in geological periods
- Dinosaur Sizes soft
Placing the Mesozoic periods in order and understanding that different dinosaurs lived in different periods is contextualised by the prior knowledge that dinosaurs varied enormously in size — size variation across time periods supports the concept of evolutionary change
- The K-Pg Extinction Event soft
The extinction debate is a key example of evaluating competing explanations
- Dinosaurs Were Real hard
Must understand extinction concept before learning about the K-Pg extinction event
- The Mesozoic Era hard
Must know the Cretaceous period before understanding the Cretaceous-Palaeogene boundary
- Dinosaurs Were Real hard
Must understand dinosaurs existed long ago before placing them in geological periods
- Dinosaur Sizes soft
Placing the Mesozoic periods in order and understanding that different dinosaurs lived in different periods is contextualised by the prior knowledge that dinosaurs varied enormously in size — size variation across time periods supports the concept of evolutionary change
- Birds Evolved from Dinosaurs soft
The bird-dinosaur connection is an example of scientific knowledge evolving with new evidence
- How animals adapt to environments soft
Curriculum adaptation/evolution concept underpins understanding of dinosaur-to-bird evolution
- Ocean Animal Adaptations soft
Ocean animal adaptations connect to curriculum adaptation/evolution concepts
- Life Changed Over Time soft
Within GB sequence, knowing life changed over time supports understanding adaptation; US teaches adaptation earlier without this prerequisite
- Life Cycles of Organisms soft
Understanding life cycles supports understanding how species change across generations
- Animal Classification Vocabulary hard
Describing unique and diverse life cycles requires metamorphosis, gestation, larva, pupa vocabulary
- Drawing Life Cycle Diagrams hard
Modelling life cycles of living things requires the life cycle diagram representation
- Sorting into categories soft
Life cycle diagrams require classifying organisms into categories — the same sorting skill used in mt_xppl18avyY
- 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'
- Animal Life Stages hard
Must know basic offspring-to-adult stages before comparing diverse life cycles
- What Living Things Need soft
Understanding survival needs supports understanding growth and development
- Living Things Vocabulary soft
Describing what plants and animals need to survive uses life processes vocabulary: nutrition, growth, sensitivity
- How Animals Have Babies soft
Animal babies topic enriched by curriculum coverage of offspring and life stages
- Pollination & Seed Dispersal soft
Plant life cycle knowledge supports understanding diverse life cycles across organisms
- Seeds & Plant Growth hard
Must understand germination before learning full life cycle including seed dispersal
- Living Things Vocabulary soft
Describing what plants and animals need to survive uses life processes vocabulary: nutrition, growth, sensitivity
- How Plant Parts Work hard
Must know flower function before understanding pollination and seed formation
- Fossils as Evidence hard
Must analyse fossil evidence before drawing the broader conclusion that life has changed over time
- Fossils Reveal Ancient Environments soft
Enrichment knowledge of fossils revealing ancient environments supports formal analysis of fossil data
- Fossils & Palaeontologists hard
Must understand fossils before interpreting what they reveal about past environments
- Dinosaurs Were Real hard
Must understand dinosaurs are extinct before learning fossils are how we know about them
- Evolution vocabulary soft
Interpreting fossil data as evidence of past organisms benefits from fossil record and extinction vocabulary
- How fossils form hard
Must understand fossil formation in rocks before interpreting fossil data for evidence of past life
- States of Matter Vocabulary soft
Describing physical properties of materials uses solid/liquid/gas vocabulary introduced in the states of matter LANGUAGE node
- Living, Dead & Never Alive soft
Understanding living vs dead supports understanding what gets fossilised
- Living Things Vocabulary hard
Comparing living, dead, and never-been-alive things requires the life processes vocabulary to give reasons
- Representing numbers with objects (age 8+) soft
Analysing fossil record data using bar charts depends on scaled bar graph construction skills from Math
- Pictograms and tally charts hard
Constructing simple pictograms/tables is prerequisite to scaled versions
- 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
- 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'
- Pictograms and tally charts (age 6+) hard
Drawing scaled bar charts and pictograms requires axis, scale, label, and frequency vocabulary
- Sorting Data into Categories hard
Drawing picture/bar graphs extends organising and representing 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
- 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'
- Living Things Vocabulary hard
Comparing living, dead, and never-been-alive things requires the life processes vocabulary to give reasons
- Evolution vocabulary hard
Recognising that living things have changed over time and fossils provide evidence requires evolution and fossil record vocabulary
- Evolution vocabulary hard
Understanding that adaptation may lead to evolution requires both 'adaptation' and 'evolution' vocabulary
- Variation & Survival Advantage hard
Must understand variation provides survival advantages before connecting adaptation to evolution
- Inherited characteristics hard
Must understand trait variation before explaining how variation provides survival advantages
- Inheritance Vocabulary hard
Analysing data about inherited traits requires 'inherited characteristic', 'variation', and 'offspring' vocabulary
- Habitats & Basic Needs soft
Habitat knowledge supports understanding how adaptations suit specific environments
- Where Are the Poles? soft
Polar regions enrich the curriculum habitats topic (exploratory age 5 -> curriculum age 6)
- Habitat Vocabulary hard
Describing how habitats provide for basic needs requires habitat, environment, conditions, shelter vocabulary
- What Is a Rainforest? soft
Rainforest habitat knowledge enriches the curriculum habitats topic (exploratory age 5 -> curriculum age 6)
- What Living Things Need hard
Must know basic needs of organisms before understanding how habitats provide for those needs
- Living Things Vocabulary soft
Describing what plants and animals need to survive uses life processes vocabulary: nutrition, growth, sensitivity
- Living, Dead & Never Alive hard
Must distinguish living from non-living before understanding habitats that support living things
- Living Things Vocabulary hard
Comparing living, dead, and never-been-alive things requires the life processes vocabulary to give reasons
- Common minibeasts: naming and recognising hard
Must recognise common minibeasts before exploring where each type lives
- Inheritance Vocabulary hard
Explaining how variation provides survival advantages requires 'variation', 'species', and 'trait' vocabulary
- Changing Environments soft
Environmental change knowledge supports understanding why adaptation matters for survival
- Habitats & Basic Needs hard
Must understand how habitats support organisms before understanding what happens when they change
- Where Are the Poles? soft
Polar regions enrich the curriculum habitats topic (exploratory age 5 -> curriculum age 6)
- Habitat Vocabulary hard
Describing how habitats provide for basic needs requires habitat, environment, conditions, shelter vocabulary
- What Is a Rainforest? soft
Rainforest habitat knowledge enriches the curriculum habitats topic (exploratory age 5 -> curriculum age 6)
- What Living Things Need hard
Must know basic needs of organisms before understanding how habitats provide for those needs
- Living Things Vocabulary soft
Describing what plants and animals need to survive uses life processes vocabulary: nutrition, growth, sensitivity
- Living, Dead & Never Alive hard
Must distinguish living from non-living before understanding habitats that support living things
- Living Things Vocabulary hard
Comparing living, dead, and never-been-alive things requires the life processes vocabulary to give reasons
- Common minibeasts: naming and recognising hard
Must recognise common minibeasts before exploring where each type lives
- Simple Food Chains soft
Food chain knowledge helps understand knock-on effects of environmental change
- Herbivores, Carnivores & Omnivores hard
Must know carnivore/herbivore/omnivore to understand food chains
- Habitats & Basic Needs hard
Must know about habitats and interdependence before learning food chains
- Where Are the Poles? soft
Polar regions enrich the curriculum habitats topic (exploratory age 5 -> curriculum age 6)
- Habitat Vocabulary hard
Describing how habitats provide for basic needs requires habitat, environment, conditions, shelter vocabulary
- What Is a Rainforest? soft
Rainforest habitat knowledge enriches the curriculum habitats topic (exploratory age 5 -> curriculum age 6)
- What Living Things Need hard
Must know basic needs of organisms before understanding how habitats provide for those needs
- Living Things Vocabulary soft
Describing what plants and animals need to survive uses life processes vocabulary: nutrition, growth, sensitivity
- Living, Dead & Never Alive hard
Must distinguish living from non-living before understanding habitats that support living things
- Living Things Vocabulary hard
Comparing living, dead, and never-been-alive things requires the life processes vocabulary to give reasons
- Common minibeasts: naming and recognising hard
Must recognise common minibeasts before exploring where each type lives
- Ocean Animal Variety soft
Food chains benefit from knowing the variety of animals that eat each other
- Minibeasts in the food chain soft
Garden minibeast food chains provide concrete examples for curriculum simple-food-chains
- Common minibeasts: naming and recognising hard
Must know common minibeasts before placing them in food chains
- Rainforest Animals soft
Rainforest animals provide rich examples for simple food chains (exploratory age 5 -> curriculum age 6)
- Habitat Vocabulary soft
Discussing how environments change and pose dangers uses habitat and conditions vocabulary
- Dinosaur Hip Groups hard
Must understand theropods as a group before learning birds evolved from them
- Famous Dinosaur Species hard
Must know common species before classifying them into Saurischia and Ornithischia
- Plant-Eaters vs Meat-Eaters hard
Must understand basic diet classification before advancing to anatomical classification
- Herbivores, Carnivores & Omnivores soft
Curriculum herbivore/carnivore/omnivore classification provides foundation for dinosaur diet sorting
Unlocks1
- Modern Archaeology and Egyptian EthicssoftAges 10—12