Use AI to automatically generate quiz questions from course content.Documentation Index
Fetch the complete documentation index at: https://memberpulseptyltd.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Features
Content Analysis
Upload or paste content and AI generates:- Multiple choice questions
- True/false questions
- Fill-in-the-blank questions
Acceptance Criteria
Frontend
- UI supports the workflows described in this feature.
Backend / API
- Backend behavior supports this feature as documented.
Permissions
- Access is restricted per the Capabilities matrix on this page (or equivalent role rules).
Business Rules
- All business rules for this feature are enforced.
Error Handling
- Error states return clear messages and appropriate HTTP status codes.
Question Types
| Type | Description |
|---|---|
| Multiple Choice | 4 options, 1 correct |
| True/False | Binary choice |
| Multi-Select | Multiple correct answers |
Acceptance Criteria
Frontend
- UI supports the workflows described in this feature.
Backend / API
- Backend behavior supports this feature as documented.
Permissions
- Access is restricted per the Capabilities matrix on this page (or equivalent role rules).
Business Rules
- All business rules for this feature are enforced.
Error Handling
- Error states return clear messages and appropriate HTTP status codes.
UI Spec (from supplied spreadsheet)
The spreadsheet defines quiz/question configuration under “Courses” (subject section):| Field | Input Type | Required | Notes |
|---|---|---|---|
| Questions Required | True / False | Required | model: isQuestionsRequired (shows/hides question UI) |
| How many questions | Number | Required | model: numberOfQuestions |
| Generate with AI | Yes / No | Required | model: generateWithAI (triggers AI generation) |
| Question Type | Selector | Required | model: questionType (enum: single_answer, multiple_answer) |
Data Model Cross‑Reference (Entities)
Quiz/question configuration is stored on the course/subject structure:Course
Quality Controls
- Review generated questions before use
- Edit questions and answers
- Set difficulty level
- Add explanations
Acceptance Criteria
Frontend
- Quality Controls workflow is implemented in the UI as described.
Backend / API
- Backend behavior supports Quality Controls as documented.
Permissions
- Access is restricted per the Capabilities matrix on this page (or equivalent role rules).
Business Rules
- All business rules for this feature are enforced.
Error Handling
- Error states return clear messages and appropriate HTTP status codes.