🗂️ 1. Navigate to the Question Generation Feature
From the dashboard, locate and click on the Question Generation section.
Begin by selecting the subject for which you want to generate questions.
✅ Tip:
Ensure that you have already created or selected the appropriate subject in the system before proceeding.
✍️ 2. Enter the Topic Name
Specify the topic or unit name for which you require questions.
This helps the system focus the generated questions on a specific area of the syllabus.
✅ Example:
If you are preparing for a Java Programming exam, you might enter “Inheritance in Java.”
📄 3. Upload Subject Document
Upload a reference document related to the subject or topic.
This document should ideally be a textbook chapter, syllabus guide, or structured study material.
System Actions:
The AI scans the uploaded document.
It extracts key concepts, terms, and subject matter that will form the foundation for generating meaningful questions.
✅ Note:
Ensure the document is clear, well-organized, and free from unrelated content for best results.
✅ 4. Choose to Generate MCQs
Select the Multiple-Choice Question (MCQ) option if you want objective-style questions.
Specify:
The number of MCQs you wish to generate for each theoretical concept or topic.
✅ Example:
Generate 10 MCQs per major concept extracted from the document.
🎯 5. Set Question Parameters
Fine-tune the nature of the questions by configuring:
Difficulty Level:
Choose Easy, Medium, or Hard, depending on the assessment needs.
Bloom’s Taxonomy Category:
Select cognitive levels such as:
Remembering
Understanding
Applying
Analyzing
Evaluating
Creating
✅ Pro Tip: Mixing difficulty and cognitive levels creates a balanced assessment.
6. Map Course Outcomes (COs)
If you have mapped Course Outcomes (COs) to the subject:
Select the relevant CO for the topic (e.g., CO1, CO2).
Define Question Distribution for each CO:
1 mark questions.
2 mark questions.
4 mark questions.
8 mark questions.
✅ Example (as per your image):
CO1: Diagnose a team’s delivery pipeline and bring forward prioritized recommendations.
1 Mark → 3 Questions
2 Marks → 4 Questions
4 Marks → 3 Questions
8 Marks → 2 Questions
Total: 12 Questions
CO2: Explain the skill sets and roles involved in DevOps and their impact.
1 Mark → 2 Questions
2 Marks → 2 Questions
4 Marks → 3 Questions
8 Marks → 1 Question
Total: 8 Questions
✅ Benefit: Ensures that assessment is aligned with the academic learning outcomes.
🛠️ 6. Generate the Question Paper
After setting up all inputs, click Generate Paper.
The system will generate:
MCQs tagged with difficulty levels and Bloom’s levels.
Correct answers clearly marked.
✅ Preview Option: Review the generated content before finalizing.
📥 Step 8: Export the Question Paper
After generation, export the question paper in CSV format.
The exported file can be:
Edited manually if needed.
Shared easily with others.
Imported into LMS or other platforms.
✅ Benefit: Saves time and enhances flexibility.
📝 Step 9: Review Theory Questions (If Applicable)
If theory questions were also generated:
Review the difficulty level assigned.
Check the Bloom’s Taxonomy number.
Confirm the marks assigned per question.
View the AI-generated model answer.
✅ Use Case: Model answers can be used for key preparation, checking rubrics, or sharing expected answers with students.