Generate Exam Question Papers with GPT-4 and Email Delivery
Who Is This For?
This workflow is designed for educators, universities, examination departments, and EdTech institutions that need a faster, smarter, and standardized way to prepare exam question papers.
What Problem Does This Solve?
Creating balanced, outcome-based question papers can take hours or even days of manual effort. Faculty often struggle to:
Ensure syllabus coverage across units Maintain Bloom’s Taxonomy alignment Keep a consistent difficulty balance Format papers in institution-specific templates
How it works
This workflow automatically generates an exam question paper based on syllabus topics submitted via a form and sends it to the entered email address.
Here’s the flow in simple steps:
Form Submission – A student or faculty fills out a form with subject code, syllabus topics, and their email.
AI Question Generation – The workflow passes the syllabus to AI agents (Part A with 2 Marks, Part B with 13 Marks, and Part C with 14 Marks) to create question sets. The marks and the no. of question generated can be customized according to the convenience.
Merging Questions – All AI-generated questions are combined into a single structured document.
Format into HTML – The questions are formatted into a clean HTML exam paper (can also be extended to PDF).
Send by Email– The formatted exam paper is sent to the user’s email (with option to CC/BCC).
Set up steps
Connect Accounts
Connect your OpenAI (or LLM) credentials for AI-powered question generation. Connect your Gmail (or preferred email service) to send emails.
Prepare Form
Create an n8n form trigger with required fields: Subject with Code Syllabus for Unit 1, 2, 3… Email to receive the paper
Customize Question Generation
Modify the AI prompts for Parts A, B, and C to fit your syllabus style (e.g., 2-mark, 13-mark, 14-mark).
Format the Exam Paper
Adjust the HTML template to match your institution’s exam paper layout.
Test & Deploy
Submit a test form entry. Check the received email to ensure formatting looks good. Deploy the workflow to production for real usage.
Need help customizing?
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