Back To Computer Science

EE Playbook

Computer Science EE Criteria Guide

Use a focused research question and clear methodology so the essay stays technical and evidence-led.

This guide follows the EE criteria for computer science: focus and method, knowledge and understanding, critical thinking, presentation, and engagement. It keeps the essay technical by tying every section back to the research question.

Criteria Breakdown

Did You Know? The easiest score jumps usually come from explicitly naming what the criterion rewards and supporting it with direct evidence.

Criterion A: Focus and Method (6 marks)

Examiner Focus

Topic, research question, and methodology.

Top-Band Move

- Topic communicated accurately/effectively - Research question clear and focused - Methodology complete with evidence of informed selection

Common Penalty

- Topic communicated unclearly/incompletely - Research question stated but unclear/too broad - Methodology limited

Criterion B: Knowledge and Understanding (6 marks)

Examiner Focus

Subject relevance and use of terminology/concepts.

Top-Band Move

- Excellent knowledge/understanding - Good use of accurate terminology/concepts

Common Penalty

- Limited knowledge/understanding - Terminology/concepts unclear/limited

Criterion C: Critical Thinking (12 marks)

Examiner Focus

Analysis, evaluation, and argument construction.

Top-Band Move

- Excellent research/analysis - Critical evaluation - Coherent, well-supported argument

Common Penalty

- Limited research/analysis - Superficial evaluation - Argument unclear/incoherent *(Max 3 if topic inappropriate for subject)*

Criterion D: Presentation (4 marks)

Examiner Focus

Structure and layout. (Note: Markbands not provided in extracted content - would follow same 0/1-2/3-4 structure)*

Top-Band Move

The extracted rubric text does not include a point-band table for this criterion.

Common Penalty

Use the assessment focus and notes in the rubric to judge the lowest acceptable performance.

Criterion E: Engagement (6 marks)

Examiner Focus

Research process and focus. (Note: Markbands not provided in extracted content - would follow same 0/1-2/3-4/5-6 structure)*

Top-Band Move

The extracted rubric text does not include a point-band table for this criterion.

Common Penalty

Use the assessment focus and notes in the rubric to judge the lowest acceptable performance.

Markbands

Criteria point markbands to benchmark where your current draft sits and what a stronger band demands.

Criterion A: Focus and Method (6 marks)

Points 0

The work does not reach a standard outlined by the descriptors below.

Points 1-2

- Topic communicated unclearly/incompletely - Research question stated but unclear/too broad - Methodology limited

Points 3-4

- Topic communicated adequately - Research question clear but partially focused - Methodology mostly complete *(Max 4 if topic inappropriate for subject)*

Points 5-6

- Topic communicated accurately/effectively - Research question clear and focused - Methodology complete with evidence of informed selection

Criterion B: Knowledge and Understanding (6 marks)

Points 0

The work does not reach a standard outlined by the descriptors below.

Points 1-2

- Limited knowledge/understanding - Terminology/concepts unclear/limited

Points 3-4

- Good knowledge/understanding - Adequate use of terminology/concepts *(Max 4 if topic inappropriate for subject)*

Points 5-6

- Excellent knowledge/understanding - Good use of accurate terminology/concepts

Criterion C: Critical Thinking (12 marks)

Points 0

The work does not reach a standard outlined by the descriptors below.

Points 1-3

- Limited research/analysis - Superficial evaluation - Argument unclear/incoherent *(Max 3 if topic inappropriate for subject)*

Points 4-6

- Adequate research/analysis - Partial evaluation - Argument with inconsistencies

Points 7-9

- Good research/analysis - Partially critical evaluation - Effective structured argument

Points 10-12

- Excellent research/analysis - Critical evaluation - Coherent, well-supported argument

Build Sequence

Did You Know? Most weak drafts fail from sequence chaos, not lack of ideas.

Step 1

Scope the research question

Pick a question that is narrow enough to support depth, but technical enough to reward computer science analysis.

Step 2

Use accurate terminology

Show subject knowledge by using concepts, methods, and vocabulary precisely and consistently.

Step 3

Build a real argument

Move beyond description by comparing approaches, weighing evidence, and explaining the reasoning behind your conclusion.

Step 4

Keep the structure clear

Make the essay easy to follow so the argument, presentation, and engagement notes all support the same line of inquiry.

Submission Checklist

  • The question is focused and computer-science specific.
  • Technical terminology is accurate and purposeful.
  • Evidence and analysis support the conclusion.
  • The essay stays coherent from introduction to ending.

Quick Wins

  • Define scope early so the project stays technical.
  • Explain algorithms or tools in terms of why they matter to the question.
  • Tie every conclusion sentence back to the research question.

Did You Know?

Use Rubric Feedback Before You Submit Your EE

Upload your computer science EE draft to Marksy and get targeted feedback on scope, terminology, reasoning, and the strength of your technical argument. Marksy is built to grade faster with criterion-level precision, so you can improve before final submission.

1. Upload your EE draft PDF to Marksy.
2. Get criterion-by-criterion feedback fast.
3. Revise and resubmit with focused improvements.
Marksy grading results view

Instant Grading Results

See where your score is now, not just where it could be.

Marksy criteria-wise feedback highlights

Criterion-Level Feedback

Marksy explains feedback by rubric criterion, so revision is targeted.

Marksy actionable todo feedback list

Action List To Improve

Get concrete next edits instead of vague "improve analysis" advice.

Marksy AI detection and highlight review

Confidence And Integrity Signals

Review flagged sections and strengthen authenticity before submission.