Past Exam Question Deconstruction & Command Word Analysis
Deconstruct tricky past exam questions, identify mark-scheme traps, and decode exam command words.
Compatibility & Specs
Compatible AI Models
ClaudeChatGPTGemini
Last UpdatedOct 3, 2026
Customizable Variables3 parameters
Main Prompt Template
216 words • 1629 characters
You are an Chief Examination Officer and Senior Academic Examiner. Students often know the course material well but lose 30-40% of available marks because they misinterpret the examiner's 'command words' (e.g., answering 'Describe' when the question demanded 'Evaluate' or 'Critique') or fail to structure answers for mark-scheme criteria.
*Ethical Instruction:* Analyze the pedagogical structure of examination prompts and marking standards. Do not write essays intended for direct academic plagiarism.
Target Subject & Academic Level (e.g., AP European History, University 3rd-Year Econometrics):
[academic_level]
The Past Exam Question to Analyze:
[exam_question]
Mark Weighting & Time Allocation (e.g., 20 marks, ~35 minutes):
[mark_weight]
Deliver the Exam Question Deconstruction Package:
1. Command Word Deconstruction: Analyze the primary command word (e.g., 'Evaluate', 'Justify', 'Contrast'). What specific cognitive operation does the examiner require for full marks versus a surface-level answer?
2. Hidden Examiner Criteria & Mark Allocation: Estimate how the examiner allocates marks across the question (e.g., 4 marks for definition/context, 8 marks for primary analytical arguments, 4 marks for counter-arguments/limitations, 4 marks for synthesis/conclusion).
3. Common Student Pitfalls & Mark Deductions: Identify 2 frequent mistakes students make on this exact type of question that result in capped marks.
4. Ideal High-Scoring Response Architecture: Outline the structural skeleton (introductory premise, body paragraph arguments with concrete evidence, and evaluative conclusion) that maximizes points.
Tip:Variables marked in purple brackets can be tailored below.
Customize Prompt
Fill in the variables below. Your customized prompt updates instantly in the browser — no AI API needed.
Parameters (3)* Indicates required field
[academic_level]
The course and educational level
[exam_question]
Paste the exact wording of the question
[mark_weight]
How many points and time allocation
3 parameters active
Live Customized OutputLive Preview
266 wordsYou are an Chief Examination Officer and Senior Academic Examiner. Students often know the course material well but lose 30-40% of available marks because they misinterpret the examiner's 'command words' (e.g., answering 'Describe' when the question demanded 'Evaluate' or 'Critique') or fail to structure answers for mark-scheme criteria.
*Ethical Instruction:* Analyze the pedagogical structure of examination prompts and marking standards. Do not write essays intended for direct academic plagiarism.
Target Subject & Academic Level (e.g., AP European History, University 3rd-Year Econometrics):
University 3rd-Year Macroeconomics & International Monetary Economics.
The Past Exam Question to Analyze:
'Critically evaluate the effectiveness of monetary policy versus fiscal policy in stimulating output for a small open economy with perfect capital mobility and flexible exchange rates. Refer to the Mundell-Fleming model in your response.'
Mark Weighting & Time Allocation (e.g., 20 marks, ~35 minutes):
25 marks (out of 100 on the exam), suggested time: 40 minutes.
Deliver the Exam Question Deconstruction Package:
1. Command Word Deconstruction: Analyze the primary command word (e.g., 'Evaluate', 'Justify', 'Contrast'). What specific cognitive operation does the examiner require for full marks versus a surface-level answer?
2. Hidden Examiner Criteria & Mark Allocation: Estimate how the examiner allocates marks across the question (e.g., 4 marks for definition/context, 8 marks for primary analytical arguments, 4 marks for counter-arguments/limitations, 4 marks for synthesis/conclusion).
3. Common Student Pitfalls & Mark Deductions: Identify 2 frequent mistakes students make on this exact type of question that result in capped marks.
4. Ideal High-Scoring Response Architecture: Outline the structural skeleton (introductory premise, body paragraph arguments with concrete evidence, and evaluative conclusion) that maximizes points.
How to Use This Prompt
Follow this 3-step workflow to extract high-signal responses from any compatible AI model.
01
1. Tailor the Parameters
Use the interactive customizer above to substitute the bracketed placeholders with your exact context, requirements, and constraints.
02
2. Send to AI Model
Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot. These models follow structured multi-step constraints reliably.
03
3. Review and Iterate
Review the output against the verified benchmark below. Follow up in the conversation to stress-test edge cases or refine tone.
Prompt Variables & Parameters
Reference breakdown of every dynamic variable embedded in this prompt template.
| Placeholder | Parameter Name | Type | Status | Description & Guidance |
|---|---|---|---|---|
| [academic_level] | Academic Level & Subject | text | Required | The course and educational levelDefault: University 3rd-Year Macroeconomics & International Monetary Economics. |
| [exam_question] | The Past Exam Question | textarea | Required | Paste the exact wording of the questionDefault: 'Critically evaluate the effectiveness of monetary policy versus fiscal policy in stimulating output for a small open economy with perfect capital mobility and flexible exchange rates. Refer to the Mundell-Fleming model in your response.' |
| [mark_weight] | Mark Weight & Time | text | Required | How many points and time allocationDefault: 25 marks (out of 100 on the exam), suggested time: 40 minutes. |
Example Execution & Benchmark Output
Sample input arguments and the verified AI response demonstrating expected quality and formatting.
Sample VariablesInputs
[academic_level]
University 3rd-Year Macroeconomics & International Monetary Economics.
[exam_question]
'Critically evaluate the effectiveness of monetary policy versus fiscal policy in stimulating output for a small open economy with perfect capital mobility and flexible exchange rates. Refer to the Mundell-Fleming model in your response.'
[mark_weight]
25 marks (out of 100 on the exam), suggested time: 40 minutes.
Expected AI ResponseVerified Result
### Exam Question Deconstruction: Mundell-Fleming Model (25 Marks)
#### 1. Command Word Analysis: 'Critically Evaluate'
* **The Trap:** If you simply describe the IS-LM-BP graph and state what happens, your grade is capped at 12/25 (a low pass). 'Critically evaluate' requires not just describing the standard model outcome, but interrogating the assumptions under which the model holds and where real-world frictions break it.
#### 2. Examiner Mark Breakdown (Estimated 25 Marks)
* **5 Marks (Model Setup & Baseline Assumptions):** Clear definition of the Mundell-Fleming framework, stating the 3 key conditions (small open economy, perfect capital mobility $r = r^*$, flexible exchange rate).
* **8 Marks (Monetary Policy Transmission):** Explaining the complete causal transmission chain: Money supply increases → interest rate drops temporarily below $r^*$ → capital flight occurs → domestic currency depreciates → net exports increase → IS curve shifts right → output permanently expands (Monetary policy is highly effective).
* **8 Marks (Fiscal Policy Crowding Out):** Explaining the complete crowding out mechanism: Government spending increases → shifts IS right → pressure on interest rate to rise above $r^*$ → massive capital inflow → currency appreciates → net exports fall dollar-for-dollar → output returns to initial level (Fiscal policy is completely ineffective).
* **4 Marks (Critical Evaluation & Real-World Limitations):** Questioning assumptions (e.g., imperfect capital mobility, exchange rate pass-through delays / J-curve effect, risk premia).
#### 3. Common Student Pitfalls
* **The J-Curve Omission:** Failing to mention that in the short term, currency depreciation may worsen trade balances before improving them, temporarily muting monetary policy effectiveness.
Best Use Cases
Scenarios and roles where this prompt produces maximum leverage.
University students preparing for essay-based or multi-part analytical final exams
Students decoding official exam mark schemes to avoid losing easy marks on command words
Tutors and teaching assistants preparing model answer guidelines for students
Tips for Best Results
Techniques to elevate response fidelity
- •Provide rich background context rather than one-sentence inputs to receive deep, non-generic responses.
- •Engage in multi-turn conversation: use the initial output as a baseline, then ask the AI to sharpen specific sections.
- •Prompt the model to highlight any hidden assumptions or missing trade-offs in its recommendations.
Common Mistakes to Avoid
Frequent failure modes and anti-patterns
- •Giving minimal context and expecting nuanced, expert-level strategic output.
- •Not validating factual references, citations, or statistical claims with verified primary sources.
- •Skipping the customization step and pasting raw bracketed template variables into the AI chat.
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