[ARCHIVED] FastTrack Google & Canvas Episode 6: Embed Documents

lstark
Instructure Alumni
Instructure Alumni

In this 2 minute video we will discuss the use case and application of Google docs with reading passages or other consumable type information.   

The Google LTI is not considered a Canvas Core feature, features like this are developed as custom projects and have a team of engineers to help support and add depth to the integrations.

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