AI Detector for Teachers.
Spot AI-assisted work.
Grade with confidence.

FAQs FAQs

• How can teachers use an AI detector without penalizing genuine student effort?

  AI detectors are best used as a review aid rather than a final judgment. They help surface patterns that may suggest AI assistance, but the final interpretation should consider the student’s history, writing style, and assignment context. This methodology allows for fairness and avoids automatic penalties.

• What writing patterns do AI detectors analyze beyond keywords?

  Current AI detectors analyze signals such as predictability of word choice, variation in sentence structure, and how ideas flow across paragraphs. These types of features and patterns are much more difficult to manipulate than just looking at surface-level keywords, which provides a deeper insight into how the text was created.

• Can an AI detector distinguish between AI-assisted drafting and full AI generation?

  In many instances, the detector will also indicate mixed signals when both AI-generated text and human edits are present in a single piece of work. This is particularly useful for identifying those pieces of work that contain AI-generated drafts that include some revision by students, and then treating only the AI-generated portions as AI.

• Why might a research paper be flagged differently than a short essay?

  When the document being analyzed is longer (example, a research paper), it typically has a greater consistency in structure, tone, and phrasing; this makes the detection of an AI-generated text easier to identify. However, shorter documents (e.g., essays) have much more natural variations, and it may be difficult to determine if AI was involved using the same signals.

• Can non-native English writing be misidentified as AI-generated?

  Yes. While non-native writers' writing may have a more formal structure or be written in an identical way, it's best to look at the AI detection results on a case-by-case basis. The student's language background and prior submissions must also be taken into consideration for the context of the flagged area.

• How should teachers review AI-flagged sections before grading?

  The entire assignment should be reviewed along with prior work by the student and the original assignment directions. AI detection results will be most useful as a means of encouraging you to take a closer look at assignments that could include AI-generated content, rather than to make any type of automatic decision based on the results.

• Do AI detectors work differently for group projects?

  Because group projects involve many different writing styles (which can produce a more consistent structure or repetitive writing), AI detectors are helpful in identifying unusual uniformity or repetitive writing that could indicate AI-generated content.

• What is the difference between Turnitin scores and AI detection signals?

  The main difference between traditional plagiarism tools and AI-detection tools is that plagiarism tools look at what you have written, whereas AI-detection tools look at how you wrote it, offering additional information instead of simply duplicating data.

• How can AI detection fit into existing grading workflows?

  Because AI-detection tools can be used with your current review process, they add another layer of contextualization for you while still allowing you to use rubrics, provide feedback, and make your own judgments about student work.

• Can an AI detector estimate how much of a document may be AI-generated?

  Some tools allow you to receive section-level signals that will give you a better idea of where you might find the greatest likelihood of AI-generated content, allowing you to focus on certain areas of a document versus scoring the entire document.