Data Types
Data Types is a curriculum strand within Python — a thread that runs across grades and deepens each year.
Entity profile
Every node stores the same attribute set, which is why the hierarchy can grow without new templates.
Strand
Depth 2 in the graph
programming/python/data-types
13,416
72 topics · 2,160 concepts · 10,800 micro-concepts
Units
Every unit below is a full entity with its own skills, objectives, misconceptions and resource set.
Integers
Integers is a unit of teaching within Data Types, usually two to four weeks of lessons with one assessment point.
Floats
Floats is a unit of teaching within Data Types, usually two to four weeks of lessons with one assessment point.
Strings
Strings is a unit of teaching within Data Types, usually two to four weeks of lessons with one assessment point.
Booleans
Booleans is a unit of teaching within Data Types, usually two to four weeks of lessons with one assessment point.
Type Conversion
Type Conversion is a unit of teaching within Data Types, usually two to four weeks of lessons with one assessment point.
None
None is a unit of teaching within Data Types, usually two to four weeks of lessons with one assessment point.
Skills and learning objectives
Skills hang off the entity; objectives hang off the skill; activities and assessment hang off the objective.
Identify data types
RememberIdentify data types accurately in a familiar context.
Activities — Modelled example on the board · Paired talk task · Mini whiteboard check
Assessment — Exit ticket of four short items
Identify data types independently in an unfamiliar context.
Activities — Independent worksheet · Card sort · Concept-check quiz
Assessment — Marked worksheet with a marking scheme
Explain data types
UnderstandExplain data types accurately in a familiar context.
Activities — Modelled example on the board · Paired talk task · Mini whiteboard check
Assessment — Exit ticket of four short items
Explain data types independently in an unfamiliar context.
Activities — Independent worksheet · Card sort · Concept-check quiz
Assessment — Marked worksheet with a marking scheme
Explain the reasoning behind data types using correct vocabulary.
Activities — Talk-through with a partner · Write a model answer · AI Tutor Socratic session
Assessment — Extended written response, levelled
Calculate data types
ApplyCalculate data types accurately in a familiar context.
Activities — Modelled example on the board · Paired talk task · Mini whiteboard check
Assessment — Exit ticket of four short items
Calculate data types independently in an unfamiliar context.
Activities — Independent worksheet · Card sort · Concept-check quiz
Assessment — Marked worksheet with a marking scheme
Compare data types
AnalyseCompare data types accurately in a familiar context.
Activities — Modelled example on the board · Paired talk task · Mini whiteboard check
Assessment — Exit ticket of four short items
Compare data types independently in an unfamiliar context.
Activities — Independent worksheet · Card sort · Concept-check quiz
Assessment — Marked worksheet with a marking scheme
Explain the reasoning behind data types using correct vocabulary.
Activities — Talk-through with a partner · Write a model answer · AI Tutor Socratic session
Assessment — Extended written response, levelled
Semantic relationships
Prerequisite and related edges are what make this a graph rather than a menu.
- VariablesStrand
Misconceptions
Stored on the entity so worksheets, quizzes and lesson plans all target the same known errors.
Confident students rush data types and skip the checking step.
Correction — Build in an estimate-before-solve routine so an unreasonable answer stands out.
Learners over-generalise a special case of data types to every situation.
Correction — Present a deliberate non-example and ask why the rule fails.
Curriculum alignment
Curricula, boards and countries are data — adding one never changes the architecture.
IB-363.1
Mapped statement covering Data Types.
EDE-110.2
Mapped statement covering Data Types.
What comes next
Curriculum order is an edge in the graph, so every entity knows the step that follows it.
Operators
Operators is a curriculum strand within Python — a thread that runs across grades and deepens each year.
Input and Output
Input and Output is a curriculum strand within Python — a thread that runs across grades and deepens each year.
Conditional Statements
Conditional Statements is a curriculum strand within Python — a thread that runs across grades and deepens each year.
Loops
Loops is a curriculum strand within Python — a thread that runs across grades and deepens each year.
Difficulty ladder
The same entity, six levels of demand — easy through to olympiad and exam level.
Scaffolded first attempt with worked support.
Standard curriculum demand, unscaffolded.
Multi-step questions and unfamiliar contexts.
Stretch tasks that need reasoning, not recall.
Competition-style problems built on the same idea.
Board-styled questions with mark schemes.
Learning intent
Not every visitor wants the same thing. Each intent routes to the resource that actually does that job.
Audience views
Data Types in Grade 2, surfaced differently for each reader.
AI Tutor context chain
Open the tutor from here and it already knows where you are — this is the sequence it recommends.
- 01Prerequisite lessonvariables
- 02Video explanationData Types modelled end to end
- 03Interactive practiceAnswer on screen with instant checking
- 04QuizTen graded items with hints
- 05FlashcardsRetrieval on a 14-day schedule
- 06Common mistakesThe misconceptions stored on this node
- 07Harder worksheetSame concept, exam-level demand
- 08Past paper questionsBoard questions on this concept
- 09Mock testTimed, marked, with feedback
- 10Book a tutorOne-to-one on exactly this gap
Free Data Types resources
Every format below is a free, standalone page generated from this entity — 53 of them, all interlinked.
- Free Data Types lessons
- Free Data Types lesson plans
- Free Data Types explanations
- Free Data Types worked examples
- Free Data Types real life examples
- Free Data Types common mistakes
- Free Data Types video lessons
- Free Data Types worksheets
- Free Data Types printable worksheets
- Free Data Types interactive worksheets
- Free Data Types homework worksheets
- Free Data Types revision worksheets
- Free Data Types word problems
- Free Data Types practice tests
- Free Data Types flashcards
- Free Data Types study notes
- Free Data Types revision notes
- Free Data Types cheat sheets
- Free Data Types formula sheets
- Free Data Types mind maps
- Free Data Types vocabulary lists
- Free Data Types quizzes
- Free Data Types timed quizzes
- Free Data Types adaptive quizzes
- Free Data Types mcqs
- Free Data Types true or false questions
- Free Data Types fill in the blanks
- Free Data Types matching exercises
- Free Data Types short questions
- Free Data Types long questions
- Free Data Types question banks
- Free Data Types exam questions
- Free Data Types past paper questions
- Free Data Types solved past papers
- Free Data Types mock exams
- Free Data Types activities
- Free Data Types stem activities
- Free Data Types experiments
- Free Data Types games
- Free Data Types projects
- Free Data Types case studies
- Free Data Types homework
- Free Data Types assignments
- Free Data Types reading comprehension
- Free Data Types writing prompts
- Free Data Types spelling practice
- Free Data Types grammar practice
- Free Data Types teacher guides
- Free Data Types parent guides
- Free Data Types ai tutor sessions
- Free Data Types practice sessions
- Free Data Types progress trackers
- Free Data Types printables
Connected resources
30 resource types are generated for Data Types automatically — the graph never produces an entity without them.
Concept Explanation
The idea itself, explained from first principles.
Lesson
A taught sequence with modelling and checks for understanding.
Real Life Examples
Where the idea shows up outside school.
Common Mistakes
The misconceptions and how to correct them.
AI Tutor
Socratic one-to-one practice on this exact idea.
Quiz
Graded retrieval with hints and explanations.
Question Bank
Every question filtered to this entity.
MCQs
Multiple choice items with distractor analysis.
True or False
Fast misconception checks.
Fill in the Blanks
Cloze items for vocabulary and method.
Matching
Pair terms, models and definitions.
Short Questions
One to three mark responses.
Long Questions
Extended responses with method marks.
Exam Questions
Board-styled questions and command words.
Past Papers
Authentic papers filtered to this entity.
Solved Papers
Full worked solutions and examiner notes.
Frequently asked
- What sits underneath Data Types in the knowledge graph?
- 0 domains, 0 strands, 6 units, 18 chapters, 72 topics, 360 subtopics, 2,160 concepts and 10,800 micro-concepts — every one of them carrying its own worksheets, quizzes, flashcards, lesson plans and AI tutoring.
- What should a learner already know before Data Types?
- The graph lists Variables as prerequisites. Each links to its own practice so a gap can be closed before moving on.
- Which grades is Data Types taught in?
- Typically Grade 2, Grade 3, Grade 4, though every resource can be regenerated for any grade in the platform.
Related resources
Work through Data Types one-to-one with a tutor who can see exactly where the gap is.
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