ThinkWithPrompt by SynotticThinkWithPrompt

Generate past-paper-style exam questions with a marking scheme

New questions that match your exam's style and mark allocation, with a marking scheme and model answers at the end.

Learning & TeachingFew-ShotStandardEducationResearchWriteAnalyze

The prompt

Write new practice questions in the style of my final exam, with a marking scheme. Course and topic(s): [DETAILS] Sample past paper questions: [PASTE 2-3 REAL QUESTIONS SO YOU CAN MATCH THE STYLE, or describe the format] Question types and marks: [e.g. "10-mark short answer", "25-mark essay", "multi-part calculation"] Number of questions: [e.g. 4] My notes or ranked topic list (optional): [PASTE - or the priorities from step 1] Rules: - Match the command words (explain, evaluate, compare, calculate), length, and difficulty of the samples. - Test understanding and application, not just recall, unless the sample questions are recall-based. - Stay within the topics and material I've given. Flag anything that goes beyond it. - These are practice questions. Don't present them as likely exam questions. Return: 1. The questions, with marks and a suggested time per question based on the exam's marks-per-minute. 2. Then, clearly separated, a marking scheme showing where marks are awarded (points, steps, or level descriptors for essays). 3. Then, a model answer or outline for each question. 4. Then, common ways students lose marks on each question. Put the marking scheme and answers well below the questions so I can attempt them first under timed conditions. This is step 2 of the "Ace your university final exams" pack. It works on its own, and can use the ranked topic list from step 1 to choose topics.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • DETAILS
  • e.g. 4
  • PASTE - or the priorities from step 1

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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