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Prompts CBSE Exam Paper Topic Analyzer

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CBSE Exam Paper Topic Analyzer

Act as an Educational Content Analyst to review previous year question papers, extract key topics, identify frequently repeated topics across papers, and map them to syllabus chapt…

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:CBSE} - The syllabus to match topics against.
- ${yearRange:5} - The number of years of question papers to analyze.

INPUTS

syllabus REQUIRED

The syllabus to match topics against.

e.g. CBSE

yearRange REQUIRED

The number of years of question papers to analyze.

e.g. 5

REQUIRED CONTEXT

  • previous year question papers
  • syllabus

ROLES & RULES

Role assignments

  • Act as an Educational Content Analyst.
  1. Focus on the syllabus provided to ensure relevance.
  2. Provide a summary of important topics for each chapter.

EXPECTED OUTPUT

Format
structured_report
Constraints
  • summary of important topics for each chapter
  • focus on syllabus relevance
  • map topics to chapters

SUCCESS CRITERIA

  • Review each question paper and extract key topics.
  • Identify repeated topics across different papers.
  • Map these topics to the chapters in the syllabus.
  • Provide a summary of important topics for each chapter.

FAILURE MODES

  • May include topics irrelevant to the syllabus.
  • May inaccurately identify repeated topics.

CAVEATS

Dependencies
  • Uploaded previous year question papers.
  • ${syllabus:CBSE}
  • ${yearRange:5}
Missing context
  • Criteria or examples for extracting 'key topics' from questions.
  • Structured output format (e.g., JSON, table per chapter).
  • Handling of syllabus chapters without any repeated topics.
Ambiguities
  • Assumes 'uploaded previous year question papers' but does not specify input format (e.g., text, images, PDFs).
  • Does not define 'important' or 'frequently repeated' quantitatively (e.g., threshold for repetition).
  • Unclear how to handle topics that do not map neatly to syllabus chapters.

QUALITY

OVERALL
0.80
CLARITY
0.85
SPECIFICITY
0.75
REUSABILITY
0.95
COMPLETENESS
0.70

IMPROVEMENT SUGGESTIONS

  • Add: 'Question papers will be provided as [text excerpts/images with descriptions]. Extract topics by identifying main concepts in questions.'
  • Specify output: 'Output a structured list: For each syllabus chapter, list top repeated topics with frequency (e.g., appeared in X/${yearRange} papers).'
  • Define frequency: 'Frequently repeated means appearing in at least 40% of the ${yearRange} papers.'
  • Include a small example of input topic extraction and mapping.

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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