> For the complete documentation index, see [llms.txt](https://developerdocs.instructure.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developerdocs.instructure.com/services/canvas/permissions/details/file.permissions_generate_observer_pairing_code.md).

# Users - generate observer pairing codes for students

## What it Does

### People (Course)

Allows user to generate a pairing code on behalf of a student to share with an observer.

## Additional Considerations

### People (Course)

To generate a pairing code from a student\`s User Settings page, the User - act as permission must also be enabled.

To generate a pairing code from a student\`s User Details page, the Users - allow administrative actions in courses permission must also be enabled.

Pairing codes are only supported when self registration is enabled for the account.

QR codes are not the same as pairing codes and are only used to help users log into their own accounts via the Canvas mobile apps. To disable QR code logins for all users in your account, please contact your Customer Success Manager.

***

This documentation is generated directly from the Canvas LMS source code, available [on Github](https://github.com/instructure/canvas-lms).


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://developerdocs.instructure.com/services/canvas/permissions/details/file.permissions_generate_observer_pairing_code.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.