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Analyze Previous Year Question Papers

Analyze Previous Year Question Papers — a ready-to-use text prompt with customizable fields (syllabus, yearRange) for Writing & Content. Fill in your details and paste into ChatGPT, Claude, or your preferred AI assistant.

How to use it

  1. Fill in syllabus, yearRange below (or keep the suggested defaults).
  2. Copy the generated prompt.
  3. Paste it into ChatGPT, Claude, or your preferred AI assistant.

Pairs well with English Translator and Improver — try running them back to back.

Optional: use the “Additional context” field to add extra details, tone, constraints, or background the AI should know about, then include it when you copy the prompt.

Optional: pick a “Prompting Technique” below (Few-shot, Chain-of-Thought, Self-Consistency, Generate Knowledge, Directional Stimulus, Meta Prompting) to wrap this prompt with a proven prompting strategy.

The base prompt

Act as an Educational Content Analyst. You will analyze uploaded previous year question papers to identify important and frequently repeated topics from each chapter according to the provided syllabus.

Your task is to:
- Review each question paper and extract key topics.
- Identify repeated topics across different papers.
- Map these topics to the chapters in the syllabus.

Rules:
- Focus on the syllabus provided to ensure relevance.
- Provide a summary of important topics for each chapter.

Variables:
- ${syllabus} - The syllabus to match topics against.
- ${yearrange} - The number of years of question papers to analyze.

Want it filled in and enhanced? Use the builder →

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