Searching Algorithms
Searching Algorithms is a unit of teaching within Algorithms, usually two to four weeks of lessons with one assessment point.
Entity profile
Every node stores the same attribute set, which is why the hierarchy can grow without new templates.
Unit
Depth 3 in the graph
programming/computational-thinking/algorithms/searching-algorithms
2,235
12 topics · 360 concepts · 1,800 micro-concepts
Chapters
Every chapter below is a full entity with its own skills, objectives, misconceptions and resource set.
Introducing Searching Algorithms
Introducing Searching Algorithms is a chapter within Searching Algorithms: a coherent run of lessons that can be taught in one go.
Working with Searching Algorithms
Working with Searching Algorithms is a chapter within Searching Algorithms: a coherent run of lessons that can be taught in one go.
Searching Algorithms in Context
Searching Algorithms in Context is a chapter within Searching Algorithms: a coherent run of lessons that can be taught in one go.
Skills and learning objectives
Skills hang off the entity; objectives hang off the skill; activities and assessment hang off the objective.
Explain searching algorithms
UnderstandExplain searching 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 searching 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 searching algorithms using correct vocabulary.
Activities — Talk-through with a partner · Write a model answer · AI Tutor Socratic session
Assessment — Extended written response, levelled
Calculate searching algorithms
ApplyCalculate searching 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 searching algorithms independently in an unfamiliar context.
Activities — Independent worksheet · Card sort · Concept-check quiz
Assessment — Marked worksheet with a marking scheme
Compare searching algorithms
AnalyseCompare searching 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 searching 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 searching algorithms using correct vocabulary.
Activities — Talk-through with a partner · Write a model answer · AI Tutor Socratic session
Assessment — Extended written response, levelled
Justify searching algorithms
EvaluateJustify searching 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 searching 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.
- PseudocodeUnit
- FlowchartsUnit
- Core SkillsStrand
Misconceptions
Stored on the entity so worksheets, quizzes and lesson plans all target the same known errors.
Learners apply the correct method to searching algorithms but ignore the context or units.
Correction — Require an answer sentence with units on every applied question.
Confident students rush searching 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.
COL-767.1
Mapped statement covering Searching Algorithms.
AQA-984.2
Mapped statement covering Searching Algorithms.
What comes next
Curriculum order is an edge in the graph, so every entity knows the step that follows it.
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.
Core Skills
Core Skills is a curriculum strand within Computational Thinking — a thread that runs across grades and deepens each year.
Debugging
Debugging is a curriculum strand within Computational Thinking — 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
Searching 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 lessonpseudocode
- 02Video explanationSearching Algorithms 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 Searching Algorithms resources
Every format below is a free, standalone page generated from this entity — 53 of them, all interlinked.
- Free Searching Algorithms lessons
- Free Searching Algorithms lesson plans
- Free Searching Algorithms explanations
- Free Searching Algorithms worked examples
- Free Searching Algorithms real life examples
- Free Searching Algorithms common mistakes
- Free Searching Algorithms video lessons
- Free Searching Algorithms worksheets
- Free Searching Algorithms printable worksheets
- Free Searching Algorithms interactive worksheets
- Free Searching Algorithms homework worksheets
- Free Searching Algorithms revision worksheets
- Free Searching Algorithms word problems
- Free Searching Algorithms practice tests
- Free Searching Algorithms flashcards
- Free Searching Algorithms study notes
- Free Searching Algorithms revision notes
- Free Searching Algorithms cheat sheets
- Free Searching Algorithms formula sheets
- Free Searching Algorithms mind maps
- Free Searching Algorithms vocabulary lists
- Free Searching Algorithms quizzes
- Free Searching Algorithms timed quizzes
- Free Searching Algorithms adaptive quizzes
- Free Searching Algorithms mcqs
- Free Searching Algorithms true or false questions
- Free Searching Algorithms fill in the blanks
- Free Searching Algorithms matching exercises
- Free Searching Algorithms short questions
- Free Searching Algorithms long questions
- Free Searching Algorithms question banks
- Free Searching Algorithms exam questions
- Free Searching Algorithms past paper questions
- Free Searching Algorithms solved past papers
- Free Searching Algorithms mock exams
- Free Searching Algorithms activities
- Free Searching Algorithms stem activities
- Free Searching Algorithms experiments
- Free Searching Algorithms games
- Free Searching Algorithms projects
- Free Searching Algorithms case studies
- Free Searching Algorithms homework
- Free Searching Algorithms assignments
- Free Searching Algorithms reading comprehension
- Free Searching Algorithms writing prompts
- Free Searching Algorithms spelling practice
- Free Searching Algorithms grammar practice
- Free Searching Algorithms teacher guides
- Free Searching Algorithms parent guides
- Free Searching Algorithms ai tutor sessions
- Free Searching Algorithms practice sessions
- Free Searching Algorithms progress trackers
- Free Searching Algorithms printables
Connected resources
30 resource types are generated for Searching 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 Searching Algorithms in the knowledge graph?
- 0 domains, 0 strands, 0 units, 3 chapters, 12 topics, 60 subtopics, 360 concepts and 1,800 micro-concepts — every one of them carrying its own worksheets, quizzes, flashcards, lesson plans and AI tutoring.
- What should a learner already know before Searching Algorithms?
- The graph lists Pseudocode, Flowcharts, Core Skills as prerequisites. Each links to its own practice so a gap can be closed before moving on.
- Which grades is Searching Algorithms 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 Searching Algorithms one-to-one with a tutor who can see exactly where the gap is.
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