> For the complete documentation index, see [llms.txt](https://cs4all-icm.gitbook.io/introduction-to-computational-media-curriculum/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cs4all-icm.gitbook.io/introduction-to-computational-media-curriculum/submit-feedback.md).

# Submit Feedback

### We want to hear from you!

The ICM Curriculum is maintained primarily by two members of the CS4All High School academic team and has been through several iterations and rewrites, which is to say, there are probably typos, broken links, and bugs hidden somewhere in these pages that we have not found yet. **If you find an issue, please let us know so that we can fix it!**

We also welcome any questions, comments, philosophies, theories, or general feedback from folks using our curriculum. We are always striving to make these resources better (and are even brainstorming an ICM 2.0 that can be inclusive of even more NYS CS standards!) and your feedback helps that to happen.

#### [If you have something to share with us, please submit any issues and other feedback using this form.](https://forms.gle/Z9e65jgRRpABa53N7) We will do our best to fix any issues and get back to your questions and comments as soon as we are able!


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# 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, and the optional `goal` query parameter:

```
GET https://cs4all-icm.gitbook.io/introduction-to-computational-media-curriculum/submit-feedback.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
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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.
