\u2705 Identify text copied from webpages
\u2705 Identify text copied from books available in Google Books
\u2705 Identify text copied from past student assignments (only for paid accounts)<\/td> | \u274c Detect AI-generated content<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\nDoes Google Classroom Come With a Built-In AI Detector?<\/h2>\n\n\n\nNo. Google Classroom only comes with an originality report, which is solely dedicated to flagging plagiarism. It offers no built-in AI detection features. <\/p>\n\n\n\n Why Combine Google Classroom With Third-Party AI Detection?<\/h2>\n\n\n\nGenerative AI is creating new forms of academic dishonesty at scale. According to a 2024 study by UC Berkeley, 40% of students admitted to using AI monthly, and 9% admitted to using AI to cheat. That percentage only covers the students who are willing to admit their dishonesty. <\/p>\n\n\n\n Since Google Classroom doesn\u2019t include an AI detector, educators may miss forms of academic dishonesty that do not involve direct plagiarism. This includes students who use AI to generate assignments or paraphrase existing content. <\/p>\n\n\n\n How To Use Undetectable AI Alongside Google Classroom<\/h2>\n\n\n\nYou can support Google Classroom with Undetectable AI\u2019s text detector to catch broader forms of cheating. Use the originality report to flag copied passages, then run the text through a detector to flag AI use. <\/p>\n\n\n\n Step One: Tick the Check Plagiarism Box<\/h3>\n\n\n\nWhen creating the assignment in Google Classroom, enable the \u201cCheck plagiarism (originality)\u201d option in the assignment settings to generate an Originality Report for student submissions.<\/p>\n\n\n\n Step Two: Review the Originality Report<\/h3>\n\n\n\nThe originality report will highlight potential matches and uncited content. If nothing in the submission raises concerns, you can proceed without further review. <\/p>\n\n\n\n Step Three: Review the Assignment for Suspicious Signals<\/h3>\n\n\n\nSome assignments might contain signs that warrant a closer review.<\/p>\n\n\n\n Before proceeding, check for:<\/p>\n\n\n\n \n- Sudden changes in writing style compared to past work<\/li>\n\n\n\n
- Vocabulary that differs from the student\u2019s typical writing patterns<\/li>\n\n\n\n
- Repetitive explanations, summaries, and conclusions<\/li>\n\n\n\n
- Uniform sentence structure with little variation<\/li>\n<\/ul>\n\n\n\n
If the assignment is guilty of one or more of these traits, it might be worth examining further. <\/p>\n\n\n\n Step Four: Select A Representative Excerpt<\/h3>\n\n\n\nIf you suspect that a student used AI to write an excerpt, select a representative passage to run through a text detector. A sample of 300 to 500 words typically gives the detector enough text to identify writing patterns.<\/p>\n\n\n\n Step Five: Run The Excerpt Through Undetectable AI<\/h3>\n\n\n\nUpon identifying an excerpt, paste it into Undetectable AI\u2019s text detector and review the likelihood score and detected patterns.<\/p>\n\n\n\n Step Six: Review the Evidence<\/h3>\n\n\n\nThe originality report provides proof that a student either failed to cite a source or directly plagiarized another piece. However, the detection score calculates a likelihood rather than claiming an explicit verdict. <\/p>\n\n\n\n It\u2019s best to treat both results as screening signals to consider alongside the student\u2019s writing style, sources, previous work, and other available evidence before drawing conclusions.<\/p>\n\n\n\n Step even: Give the Student an Opportunity to Explain<\/h3>\n\n\n\nIf the evidence raises concerns, discuss the assignment with the student and follow your institution\u2019s academic integrity policies.<\/p>\n\n\n\n |