Integration Setup for Admins
Create App Registration URL
If you do not already have a Copyleaks account you can go to https://app.copyleaks.com/signup to create an account.
Go to https://lti.copyleaks.com and log in using your Copyleaks email and password details.
When you first log in, you will be prompted to the Integration Setup page.
- From the next options presented, select the Plagiarism Framework:
Enter the registration name, then click on Generate URL
- After successfully creating the registration you will receive a Registration URL along with a Key & Secret , which will be used on Canvas to finish the registration.
- The registration name will only be used on the Copyleaks website.
- You can always find your registrations on this page
To set institutional defaults and lock settings see our page here.
Setting up the framework in Canvas
For testing purposes we recommend setting up the framework on the Course level. See our Help Article here for instructions on how to do so.
Log into Canvas as an Administrator.
On the left panel of Canvas, select the Admin tab then select the account you'd like to configure with the framework
From the left panel, select Settings .
Choose the Apps tab from the top of the Settings page.
Choose View App Configurations .
Choose the + App button to open the Add App pop-up box.
Change the Configuration Type to By LTI 2 Registration URL then add your Registration URL.
In the menu that opens, complete the final steps to register. You will need your Key and Secret from lti.copyleaks.com.
When you finish setting up your integration, go to lti.copyleaks.com Follow the steps in the image below. From the Edit Scan settings page you can decide on the default settings that you want applied to your institution. Settings can also be locked via the lock icon in order to prevent them from being changed at the instructor level.
We strongly recommend locking the Disable database view for student setting to ensure student information is not shared among one another.
The Cheat Detection setting now includes our AI Content Detector. To learn more about what a result will look like visit our page here.
Setting up the Instructor Only Tool
The Instructor only tool enables instructors to scan files or copy and pasted content for plagiarism outside of an assignment. The tool is helpful for late submissions, discussion board posts, and your own class materials. Below the upload window, instructors can view the similarity score of their uploads at a glance and view the interactive report by simply clicking on the score.
See our Help Article here for a Setup walkthrough.
• As Canvas may not immediately notify Copyleaks that the student submission has been created, we suggest waiting up to 90 seconds before clicking on the resubmit button. This will allow Canvas to notify us that the assignment has been created.
• If a student uploads multiple versions of a document to the same assignment we will NOT compare to that student's previous submissions. For example, if a student uploads Version 1, Version 2, and Version 3 of a document, we will NOT scan Version 3 against Version 1 and Version 2. However, if the student has uploaded this document to a different assignment, it will be compared. For example, if the assignment is uploaded to English 101 and History 101 we will compare the two against one another.
• When Duplicating / Importing / Copying an assignment, the assignment Copyleaks configuration settings will NOT be copied into the new assignment.
• Deleting the registration from the Copyleaks dashboard will shut down the tool and will automatically be deleted after 2 months. This action can be cancelled on the registration management page.
• For ease in identifying the origin of copied content in cases of internal cheating we recommend enabling the Identify student information in the results setting. When enabled, instructors and admins will now have the ability to quickly and clearly see in the results of the report:
1. The date & time of submission for the detected result.
2. The user (via their email or username) who submitted the detected result.
See the screenshot below for an example of what this will look like on a similarity report.