Algorithms
Algorithms is a curriculum strand within Computational Thinking — 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/computational-thinking/algorithms
11,180
60 topics · 1,800 concepts · 9,000 micro-concepts
Units
Every unit below is a full entity with its own skills, objectives, misconceptions and resource set.
Flowcharts
Flowcharts is a unit of teaching within Algorithms, usually two to four weeks of lessons with one assessment point.
Pseudocode
Pseudocode is a unit of teaching within Algorithms, usually two to four weeks of lessons with one assessment point.
Searching Algorithms
Searching Algorithms is a unit of teaching within Algorithms, usually two to four weeks of lessons with one assessment point.
Sorting Algorithms
Sorting Algorithms is a unit of teaching within Algorithms, usually two to four weeks of lessons with one assessment point.
Efficiency
Efficiency is a unit of teaching within Algorithms, 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.
Explain algorithms
UnderstandExplain algorithms 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 algorithms independently in an unfamiliar context.
Activities — Independent worksheet · Card sort · Concept-check quiz
Assessment — Marked worksheet with a marking scheme
Explain the reasoning behind algorithms using correct vocabulary.
Activities — Talk-through with a partner · Write a model answer · AI Tutor Socratic session
Assessment — Extended written response, levelled
Calculate algorithms
ApplyCalculate algorithms 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 algorithms independently in an unfamiliar context.
Activities — Independent worksheet · Card sort · Concept-check quiz
Assessment — Marked worksheet with a marking scheme
Compare algorithms
AnalyseCompare algorithms 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 algorithms independently in an unfamiliar context.
Activities — Independent worksheet · Card sort · Concept-check quiz
Assessment — Marked worksheet with a marking scheme
Explain the reasoning behind algorithms using correct vocabulary.
Activities — Talk-through with a partner · Write a model answer · AI Tutor Socratic session
Assessment — Extended written response, levelled
Justify algorithms
EvaluateJustify algorithms accurately in a familiar context.
Activities — Modelled example on the board · Paired talk task · Mini whiteboard check
Assessment — Exit ticket of four short items
Justify algorithms independently in an unfamiliar context.
Activities — Independent worksheet · Card sort · Concept-check quiz
Assessment — Marked worksheet with a marking scheme
Semantic relationships
Prerequisite and related edges are what make this a graph rather than a menu.
- Core SkillsStrand
- ScratchDomain
Misconceptions
Stored on the entity so worksheets, quizzes and lesson plans all target the same known errors.
Learners apply the correct method to algorithms but ignore the context or units.
Correction — Require an answer sentence with units on every applied question.
Confident students rush algorithms and skip the checking step.
Correction — Build in an estimate-before-solve routine so an unreasonable answer stands out.
Curriculum alignment
Curricula, boards and countries are data — adding one never changes the architecture.
OCR-145.1
Mapped statement covering Algorithms.
CAM-993.2
Mapped statement covering Algorithms.
What comes next
Curriculum order is an edge in the graph, so every entity knows the step that follows it.
Debugging
Debugging is a curriculum strand within Computational Thinking — a thread that runs across grades and deepens each year.
Python
Python is a major domain within Programming, grouping the strands that share the same underlying ideas and methods.
JavaScript
JavaScript is a major domain within Programming, grouping the strands that share the same underlying ideas and methods.
Scratch
Scratch is a major domain within Programming, grouping the strands that share the same underlying ideas and methods.
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
Algorithms 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 lessoncore skills
- 02Video explanationAlgorithms 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 Algorithms resources
Every format below is a free, standalone page generated from this entity — 53 of them, all interlinked.
- Free Algorithms lessons
- Free Algorithms lesson plans
- Free Algorithms explanations
- Free Algorithms worked examples
- Free Algorithms real life examples
- Free Algorithms common mistakes
- Free Algorithms video lessons
- Free Algorithms worksheets
- Free Algorithms printable worksheets
- Free Algorithms interactive worksheets
- Free Algorithms homework worksheets
- Free Algorithms revision worksheets
- Free Algorithms word problems
- Free Algorithms practice tests
- Free Algorithms flashcards
- Free Algorithms study notes
- Free Algorithms revision notes
- Free Algorithms cheat sheets
- Free Algorithms formula sheets
- Free Algorithms mind maps
- Free Algorithms vocabulary lists
- Free Algorithms quizzes
- Free Algorithms timed quizzes
- Free Algorithms adaptive quizzes
- Free Algorithms mcqs
- Free Algorithms true or false questions
- Free Algorithms fill in the blanks
- Free Algorithms matching exercises
- Free Algorithms short questions
- Free Algorithms long questions
- Free Algorithms question banks
- Free Algorithms exam questions
- Free Algorithms past paper questions
- Free Algorithms solved past papers
- Free Algorithms mock exams
- Free Algorithms activities
- Free Algorithms stem activities
- Free Algorithms experiments
- Free Algorithms games
- Free Algorithms projects
- Free Algorithms case studies
- Free Algorithms homework
- Free Algorithms assignments
- Free Algorithms reading comprehension
- Free Algorithms writing prompts
- Free Algorithms spelling practice
- Free Algorithms grammar practice
- Free Algorithms teacher guides
- Free Algorithms parent guides
- Free Algorithms ai tutor sessions
- Free Algorithms practice sessions
- Free Algorithms progress trackers
- Free Algorithms printables
Connected resources
30 resource types are generated for Algorithms 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 Algorithms in the knowledge graph?
- 0 domains, 0 strands, 5 units, 15 chapters, 60 topics, 300 subtopics, 1,800 concepts and 9,000 micro-concepts — every one of them carrying its own worksheets, quizzes, flashcards, lesson plans and AI tutoring.
- What should a learner already know before Algorithms?
- The graph lists Core Skills, Scratch as prerequisites. Each links to its own practice so a gap can be closed before moving on.
- Which grades is Algorithms taught in?
- Typically Grade 2, Grade 3, Grade 4, though every resource can be regenerated for any grade in the platform.
Related resources
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