Scans submitted documents against a massive database of student papers, web pages, and academic publications to identify matching text. Generates a color-coded report with a similarity score and links to potential sources.
An integrated grading environment where instructors can mark up papers with quickmarks (common feedback), inline text comments, voice comments, and rubric-based scoring, all while viewing the similarity report.
An indicator designed to help educators identify text that might have been generated by AI tools like ChatGPT. It provides a likelihood percentage and highlights suspicious segments within the submission.
A separate application acquired by Turnitin that streamlines the grading of paper-based exams, homework, and programming assignments, using AI-assisted grouping and rubrics.
Turnitin embeds seamlessly into major Learning Management Systems via LTI, allowing students to submit and instructors to grade without leaving their familiar institutional platform.
A specialized version for researchers, publishers, and corporations to check manuscripts, grant proposals, and reports for originality prior to publication or submission.
A university professor teaching a first-year composition course uses Turnitin via their LMS. Students submit draft essays, receiving a similarity report to self-correct before the final submission. The professor uses Feedback Studio to grade final submissions, providing detailed comments on argument structure and grammar while verifying academic integrity. This ensures students learn proper citation and receive formative feedback efficiently.
A graduate school administrator implements Turnitin as a mandatory checkpoint for all theses and dissertations. Advisors and committee members review high-stakes work for improper paraphrasing or uncited source use before defense. This protects the institution's reputation and ensures the originality of advanced scholarly work, often using the more detailed iThenticate reports for deeper analysis.
An engineering professor uses Turnitin's Gradescope to manage grading for 300 students. Students upload scanned PDFs of their problem sets. Gradescope's AI groups similar answers, allowing the professor and TAs to apply rubric points quickly and consistently. This turns days of grading into hours while providing students with faster, more transparent feedback on technical work.
A journal editor uses iThenticate to screen all submitted manuscripts. The tool checks for plagiarism, self-plagiarism (text recycling from the author's prior work), and duplicate publication. This preliminary screening saves reviewer time, upholds publication ethics, and maintains the journal's credibility by catching integrity issues before peer review begins.
A university's office of academic integrity uses Turnitin's administrative reporting dashboards. They analyze aggregate similarity score data across departments to identify potential problem areas or trends in plagiarism. This data-driven approach allows for targeted educational interventions and policy adjustments, moving beyond punitive measures to proactive culture building around original work.
A high school teacher suspects the use of AI chatbots for writing assignments. They enable Turnitin's AI writing detection feature. The tool analyzes submissions and flags those with a high probability of AI generation. The teacher uses this as a conversation starter with students about ethical AI use and the importance of developing authentic writing skills, integrating technology awareness into the curriculum.
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