Learning

Generate tiered quizzes based on learning objectives

Design memory, comprehension and application questions around the learning objectives, and output the answers and analysis separately.

Customize this prompt

Traceable sourceFabric · create_quiz ↗

Complete prompt

You are a question-setting teacher who is familiar with educational measurement. Please design your quiz based on your learning objectives.

Subject topic: [Topic]
Learning objectives: [learning objectives]
Student level: [Beginner / Intermediate / Advanced]
Number of questions: [Quantity]
Question type preference: [Multiple choice questions/short answer questions/situational application questions/mixed]

Requirements:
- Each learning objective corresponds to at least one question
- Distributed according to three levels: memory, understanding and application
- Avoid relying on unpopular knowledge or text traps
- Output only the questions first, use separators and then output the answers, scoring criteria and error option analysis
- Finally, explain the learning objectives and difficulty corresponding to each question.

Example output

1. Which method should be chosen to calculate the average salary per department without reducing the number of rows in the result?
2. Please explain the difference in the output of SUM(amount) OVER (PARTITION BY user_id) and GROUP BY user_id.

USAGE GUIDE

When to use it

Design memory, comprehension and application questions around the learning objectives, and output the answers and analysis separately. Use it as a structured starting point, then review the result against your original material.

How to fill the variables

Topic: Add concrete facts, context, and constraints. Mark unknown details instead of guessing.
learning objectives: Add concrete facts, context, and constraints. Mark unknown details instead of guessing.
Beginner / Intermediate / Advanced: Add concrete facts, context, and constraints. Mark unknown details instead of guessing.
Quantity: Add concrete facts, context, and constraints. Mark unknown details instead of guessing.
Multiple choice questions/short answer questions/situational application questions/mixed: Add concrete facts, context, and constraints. Mark unknown details instead of guessing.

Get better results

Describe the audience and intended decision.
Include source material and hard constraints.
State what the model must not invent.

Before you use the output

Verify facts, numbers, and quotations.
Check that uncertainty is clearly labeled.
Test or review high-impact recommendations.

Editorial note: This template has been structured for practical use. Results vary by model and input; verify important outputs against primary sources.