How AI question generation works in LearningLemur

LearningLemur includes an AI-powered feature that helps you quickly generate math questions from a textual prompt. This feature automates the creation of question statements and correct answers, allowing you to speed up content creation while maintaining full control over the final result.

What It Is

The AI question generator is a tool that generates draft questions from a prompt you provide. You can specify:

• the number of questions to generate
• the question type (e.g., open answer, multiple choice)
• a prompt describing the desired content

The system then generates complete questions that you can review and edit. This feature is designed to assist question creation, not replace manual configuration.

Why It Matters

Creating high-quality math questions can be time-consuming. The AI generator helps you:

• Quickly produce multiple question drafts
• Reduce repetitive work
• Explore variations of the same concept

However, generated questions are not final. You are expected to review and adjust them to match your pedagogical goals.

How It Works

Provide a structured explanation of the internal logic or workflow at a conceptual level.

Stage 1: Provide generation parameters

You define:

• The number of questions
• The question type
• A prompt describing the task

The prompt is the most important input, as it determines the content and structure of the generated questions.

Stage 2: Generate questions

After clicking Generate, the system creates the requested number of questions. Each generated question includes:

• A question statement
• A correct answer
• Basic answer settings (when applicable)

Stage 3: Review and refine

Generated questions are added to your quiz as editable drafts. You can then:

• Modify the statement
• Adjust the answer
• Configure evaluation options
• Add feedback or additional answers

Key Rules or Behaviours

• The AI generates draft questions, not final content
• The quality of the output depends heavily on the prompt
• Generated questions are independent and do not share context
• The AI does not modify existing questions

What the AI does

• Generate the question statement
• Define the correct answer
• Apply basic answer settings (e.g., simplified, expanded, factorized)

What the AI does not do

• Generate initial quiz structure or context
• Define additional answers (e.g., distractors in multiple choice)
• Add customized feedback for each answer
• Modify evaluation options beyond basic settings
• Add general feedback
• Add random variables
• Modify question settings
• Evaluate the student's answer

Examples

Example 1

Example 2

Common Misunderstandings

Misconception: The AI generates ready-to-use questions

Clarification: Generated questions are drafts and should be reviewed and adjusted before use.

Misconception: The AI configures all evaluation settings

Clarification: Only basic answer settings are applied. Advanced configuration must be done manually.

Misconception: The AI understands implicit requirements

Clarification: The AI relies entirely on the prompt. Missing details may lead to incomplete or unexpected results.

Related Concepts

• Creating questions in LearningLemur
• Understanding Question Types in Learning Lemur
• Writing effective prompts for AI question generation