CopyLeaks Training | York University Online
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What is CopyLeaks for Canvas?

Canvas, a leading learning management system, integrates the powerful plagiarism detection capabilities of CopyLeaks to identify instances of plagiarism and AI-generated text within student submissions. When instructors and educators upload assignments or papers onto Canvas, CopyLeaks analyzes the content using its sophisticated AI algorithms. It compares the submitted work against a vast database of sources, including academic journals, books, and online publications. CopyLeaks will detect exact matches and employ advanced techniques to uncover paraphrased or reworded content, ensuring a comprehensive evaluation of the submitted work. Furthermore, CopyLeaks employs its AI expertise to recognize patterns commonly associated with AI-generated text, allowing Canvas to flag potential instances of automated text generation. By leveraging the collaborative efforts of Canvas and CopyLeaks, educational institutions can effectively promote academic honesty and uphold the integrity of student work.

 

Enabling CopyLeaks on an Assignment:

Enabling CopyLeaks on each assignment is mandatory to ensure academic integrity and detect instances of plagiarism or AI-generated text. Below are the steps to enabling CopyLeaks:

  1. After creating an assignment, click the Edit button
     
  2. Turn on the only assignment submission option
    1. Set Submission Type to Online
    2. Enable Text Entry and/or File Uploads
  3. Enable CopyLeaks functionality
    1. Set Plagiarism Review to Copyleaks Plagiarism Checker
    2. Change Show report to students to Immediately (?)
  4. Save and publish assignment

What does CopyLeaks Do?

Assignment Flags:

In the Canvas assignment lists, CopyLeaks flags serve as vital indicators to instructors and educators, highlighting potential cases of plagiarism or AI-generated text within student submissions. When the CopyLeaks integration is enabled, the system diligently scans each assignment and compares the content against an extensive database of sources. If CopyLeaks detects suspicious similarities or patterns, it promptly raises a flag next to the corresponding assignment. These flags act as visual cues, alerting instructors to potentially problematic submissions that warrant further examination. By leveraging the CopyLeaks flags on the Canvas assignment lists, educators can efficiently prioritize their attention, focus on potential instances of academic misconduct, and take appropriate actions to maintain academic integrity.

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Canvas Plagiarism and AI Content Report:

 

A Reporting Experience Like No Other

Get a clear, comprehensive, and fully interactive report with every scan and customize it to see the information relevant to your educators and students. You can even download a PDF version of the report that you can easily share.

Go beyond word-for-word detection with the only platform that:

  1. Detects AI-generated content, including ChatGPT4
  2. Detects multiple forms of paraphrasing
  3. Performs image-based text plagiarism
  4. Exposes attempts to deceive detection software
  5. Detects plagiarism in source code

For more information and an interactive report, click here.

What does AI Generated Detection look like?

CopyLeaks offeres a unique view to check for AI generated content. Here is a guide on how to check the AI Generated text:

  1. Click on the See Alerts button.
  2. A "Suspected Cheating: AI Text detected" alert will appear, click Preview.
  3. The Submitted Text section will have any text suspected of AI Generation highlighted to review.

What should be done with suspected plagiarism or AI generated content?

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Moreover, if further verification is required to confirm the absence of false positives, it is recommended to forward the flagged assignment via email to the Provost's Office or the Registrar's Office for a secondary review to authenticate the presence of AI-generated text. This additional review process aims to ensure a thorough examination and provide a reliable assessment of the flagged content, fostering a fair and accurate evaluation of potential plagiarism cases.

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