Back to subject papers

COMPUTER-SCIENCE-1CP2 · Pearson Edexcel GCSE (9–1)

COMPUTER-SCIENCE-1CP2/21

Paper 2

Computer Science · June 2022 · Variant 1

Relative difficulty

Demanding · 3.5/5

Analysis source: Pearson Edexcel

Analysis aligned to the official syllabus and assessment design.

Relative difficulty

3.5 / 5

Total marks

150

Duration

210 min

Most tested topic

Algorithms & Practical Problem Solving

Cohort performance

Session statistics from official examination reports

Total marks

150

Duration

210 min

Session difficulty

3.5 / 5

Key examiner messages

Top priorities from the principal examiner before you revise

1

This exam carries a medium-to-hard overall difficulty.

2

Paper 1 requires precise technical vocabulary, and Paper 2 demands excellent syntax familiarity and rigorous debugging logic under timed conditions.

3

Rather than merely writing short scripts, candidates have to actively refactor existing structures, debug turtle drawings, and handle multi-dimensional linear searches.

Question difficulty map

How candidates performed on each question in this series

No data available in official reports

Assessment objectives

Skill and AO weighting from official examiner commentary

Theoretical Comprehension7
Algorithmic Analysis5
Debugging &3
Creative Programming2

Skill weighting

Shows the skill mix this paper tested most heavily.

Theoretical ComprehensionTheoreticalComprehensionAlgorithmic AnalysisAlgorithmicAnalysisDebugging &Debugging &Creative ProgrammingCreativeProgramming
SkillWeightShare
  • Theoretical Comprehension

    Weight: 7100%
  • Algorithmic Analysis

    Weight: 571%
  • Debugging &

    Weight: 343%
  • Creative Programming

    Weight: 229%

Method marks watchlist

Where working, steps, or method marks were commonly lost

No data available in official reports

Recurring mistakes across years

Themes examiners flag in multiple recent sessions for this subject

No data available in official reports

Question choice intelligence

Mean scores and popularity for optional questions (HKDSE electives)

No data available in official reports

Level exemplars

What candidate scripts at each grade level looked like

No data available in official reports

Grade & admission context

How marks relate to grade thresholds and entry standards

Report type

Examiner report — national grade boundaries and question-level commentary

Level 9

Approx. 82% of maximum mark

Level 8

Approx. 71% of maximum mark

Level 7

Approx. 61% of maximum mark

Level 6

Approx. 51% of maximum mark

Level 5

Approx. 40% of maximum mark

Level 4

Approx. 30% of maximum mark

Level 3

Approx. 21% of maximum mark

Level 2

Approx. 13% of maximum mark

Deep insights

What top candidates did

Techniques and approaches examiners rewarded in this series

No data available in official reports

Command word playbook

How to match each command word to the expected response style

StateFrequency: 13

Match the expected response style for “State” questions.

DescribeFrequency: 7

State features in sequence or list observable properties — do not explain causes unless asked.

ExplainFrequency: 4

Give reasons and link mechanism to outcome; each point needs a because/so chain.

IdentifyFrequency: 3

Name or point to the specific feature asked for — avoid extra explanation.

ConvertFrequency: 2

Match the expected response style for “Convert” questions.

DiscussFrequency: 1

Present multiple perspectives with evidence; balance breadth and depth.

DrawFrequency: 1

Match the expected response style for “Draw” questions.

Time traps

Sections where candidates spent disproportionate time relative to marks

Paper 2 Code Optimi50m / 30 marks

Min per mark: 1.7

Paper 1 Complex Alg50m / 40 marks

Min per mark: 1.3

Paper 1 Theory Basi40m / 35 marks

Min per mark: 1.1

Syllabus traceability

Topics linked to questions and mark weighting in this session

Algorithms

36 marks this session

Data types and structures

16 marks this session

Networks

11 marks this session

MCQ trap analytics

Commonly chosen wrong options from examiner commentary

No data available in official reports

Topic heatmap across years

Mark concentration by topic and exam year for this subject

Mark intensity

LowHigh
Topic
2022
2023
2024
Σ

Develop code

62
65
127

Algorithms

36
10
46

Networks

11
10
12
33

Data types and structures

16
17
33

Data representation

12
12

Binary

11
11

Difficulty trend

How session difficulty has shifted across recent years

202220232024
2022 June 2022 · 3.5/52023 June 2023 · 4.5/52024 June 2024 · 3.8/5

Paper comparison

Marks and duration breakdown across papers in this session

Paper 1: Principles of Computer Science:

75 marks90 min

Paper 2: Application of Computational Thinking:

75 marks120 min

Marks you can still earn

Where valid approaches outside the mark scheme may still gain credit

No data available in official reports

Practise what examiners flagged

Target weak topics from this report inside the Revui app

Self-diagnostic checklist

Key actions before you sit this paper — copy and tick off as you revise

  • 1Message

    This exam carries a medium-to-hard overall difficulty.

  • 2Message

    Paper 1 requires precise technical vocabulary, and Paper 2 demands excellent syntax familiarity and rigorous debugging logic under timed conditions.

  • 3Message

    Rather than merely writing short scripts, candidates have to actively refactor existing structures, debug turtle drawings, and handle multi-dimensional linear searches.

Teacher briefing pack

One-page session summary for tutors and classroom review

June 2022 2022

Computer Science

This exam carries a medium-to-hard overall difficulty. Paper 1 requires precise technical vocabulary, and Paper 2 demands excellent syntax familiarity and rigorous debugging logic under timed conditions. Rather than merely writing short scripts, candidates have to actively refact

  • This exam carries a medium-to-hard overall difficulty.

  • Paper 1 requires precise technical vocabulary, and Paper 2 demands excellent syntax familiarity and rigorous debugging logic under timed conditions.

  • Rather than merely writing short scripts, candidates have to actively refactor existing structures, debug turtle drawings, and handle multi-dimensional linear searches.

Total marks
150
Duration
210 min
Session difficulty
3.5 / 5

Session analysis

This exam carries a medium-to-hard overall difficulty. Paper 1 requires precise technical vocabulary, and Paper 2 demands excellent syntax familiarity and rigorous debugging logic under timed conditions. Rather than merely writing short scripts, candidates have to actively refactor existing structures, debug turtle drawings, and handle multi-dimensional linear searches.

Updated Jun 14, 2026

Paper breakdown

Paper 1: Principles of Computer Science:

75 marks90 min

Paper 2: Application of Computational Thinking:

75 marks120 min

Top chapters

Algorithms36 marks
Data types and structures16 marks
Networks11 marks

Exam structure insights

Marks by chapter

See where the marks were concentrated so revision time goes to the highest-value topics.

Algorithms36 marks
Data types and structures16 marks
Networks11 marks
Constructs10 marks
Subprograms10 marks
Operators10 marks
Develop code10 marks
Binary8 marks

Mark accessibility

Estimate which marks were basic, mid-level, or high-difficulty.

73% within easy or medium reach

45
65
40
Easy: 45 marksMedium: 65 marksHard: 40 marks

Command word frequency

Spot common command words so answers match the expected response style.

State13 times
Describe7 times
Explain4 times
Identify3 times
Convert2 times
Discuss1 times
Draw1 times

Question type mix

Compare the mark share of each paper section and question type.

150Marks
  • Theoretical / Short Answer

    51·34·34%

  • Practical Code Correction & Refactoring

    35·3·23%

  • Original Code Construction

    34·3·23%

  • Calculations & Representation

    12·5·8%

  • Algorithmic Flowcharts & Tracing

    12·2·8%

  • Extended Discuss / Essay

    6·1·4%

Study ROI

Bigger bubbles recur more often; higher bubbles carry more marks, helping you rank revision priorities.

DifficultyRecurrence %Searching and Sort…Flowcharts and Alg…File I/O and CSV P…Data representatio…

Time vs marks

Compare marks with suggested time allocation to plan exam pacing.

MarksMinutesMarks / min

Paper 1 Theory Basi

0.88 m/min
35
40

Paper 1 Complex Alg

0.80 m/min
40
50

Paper 2 Code Optimi

0.60 m/min
30
50

Total marks

105

Total time

140 min

Avg pace

0.75

Cumulative marks ladder

The line is your running mark total question by question; dashed lines are the estimated grade cut-offs. See which question the line crosses your target grade at, so you know how far you must answer cleanly and which questions decide a band.

038751131509 estimated8 estimated7 estimated6 estimated5 estimated4 estimated3 estimated2 estimated1 estimatedU estimated13314757758595105120135150

Next-year prediction

Topics worth watching next year, with the reason shown directly below each bar.

Truth Tables and Boolean Logic

5%

5%

Subprograms and Parameter Passing

4%

4%

Environmental Impacts of Technology

4%

4%

Difficulty Verdict

This exam carries a medium-to-hard overall difficulty. Paper 1 requires precise technical vocabulary, and Paper 2 demands excellent syntax familiarity and rigorous debugging logic under timed conditions. Rather than merely writing short scripts, candidates have to actively refactor existing structures, debug turtle drawings, and handle multi-dimensional linear searches.

Where the Marks Are

Marks are heavily concentrated in practical application. In Paper 1, multi-step trace tables, flowchart logical mapping, and complex calculations (such as image file sizes in Mebibytes) carry significant weight. In Paper 2, Question 5 (File I/O) and Question 6 (2D List Search) contain the highest concentration of marks, prioritizing robust solution designs and adherence to the Program Language Subset (PLS).

Examiner notes & key calculations

  • Vague Network Explanations: Examiners consistently penalize simple descriptions like "LAN is smaller than WAN." Accurate descriptions must reference geographic ownership or third-party infrastructure.
  • Object Hierarchy in Code: In Paper 2's Turtle graphics question, a frequent source of lost marks was using the library default turtle.method() instead of referencing the instantiated variable theTurtle.method().
  • Math Unit Conversions: For image resolution calculations, writing base-10 metrics (1000) instead of binary prefix values (1024) is a common mistake.

Analysis is paraphrased for study purposes. Always verify against the official examiner report and mark scheme.

COMPUTER-SCIENCE-1CP2/21 — Pearson Edexcel GCSE (9–1) Computer Science (June 2022) | Revui