Education technology company Turnitin has introduced new customisable settings for its AI writing assistant within Turnitin Clarity, marking a significant shift in how artificial intelligence is being integrated into teaching, learning, and academic assessment.
Rather than treating AI as a single, uniform tool, instructors using the software can now define its role on a per-assignment basis, tailoring it to suit learning outcomes, discipline requirements, and student capability levels. Depending on the task, AI can be configured to support brainstorming, outlining, light proofreading, or more detailed structural and sentence-level feedback.
In practice, this means a student writing an early-stage essay might receive prompts that help them organise ideas and develop a structure, while a more advanced postgraduate student could receive deeper, more nuanced feedback focused on argument strength, coherence, and academic tone. The system also includes three levels of response complexity labelled Foundational, Standard, and Advanced, allowing educators to better match AI-generated feedback with student stage and subject demands.
Turnitin says the changes were driven directly by educator feedback, reflecting a growing demand across schools and universities for AI tools that are flexible rather than prescriptive. As institutions continue to develop policies around generative AI use, many have been caught between two competing pressures: encouraging students to build AI literacy while also maintaining academic integrity and ensuring authentic assessment.
Annie Chechitelli, Chief Product Officer at Turnitin, said the updates were designed to reflect that diversity of need, noting that secondary teachers often want simpler, more guided feedback while higher education instructors require more sophisticated responses. The aim, she said, is to ensure AI can function as a supportive part of the learning process while still aligning with institutional standards and expectations.
A key feature of the update is a preview tool that allows instructors to simulate how AI will respond before deploying it in an assignment. This gives educators a clearer sense of how students will experience AI feedback in real time, helping them fine tune settings to better match pedagogical goals. It also introduces a layer of transparency that has been a consistent concern among educators navigating the rapid rise of generative AI tools.
Turnitin Clarity itself is positioned as more than an AI writing assistant. It tracks the writing process from early drafts through to final submission, including how students interact with AI feedback along the way. This process-based visibility is intended to shift the focus away from end product detection and toward understanding how learning happens. In other words, not just what students submit, but how they arrived there.
The timing of the update reflects a broader global conversation in education systems about the role of AI in learning. Over the past two years, universities and schools have been adapting policies in response to the widespread availability of generative AI tools, which have challenged traditional assessment models built around individual, unaided writing. While some institutions have moved to restrict AI use, others are increasingly focused on embedding it into curriculum design with clear guardrails.
For international students in particular, including those studying in Australia, this kind of structured AI support could have practical implications. Many students are navigating academic writing in a second language while simultaneously adapting to unfamiliar assessment expectations. Tools that provide scaffolded feedback, rather than simply flagging errors, may help bridge that gap. At the same time, universities remain cautious about ensuring that such support does not replace genuine skill development or unfairly advantage certain learners.
The introduction of configurable AI settings also raises deeper questions about consistency in academic standards. If AI assistance varies between courses, disciplines, or institutions, educators will need to carefully consider how fairness is maintained across assessments. It also places more responsibility on teaching staff to design AI-appropriate assessments, a task that may become increasingly central to academic workload.
As we keep repeatedly seeing, AI is no longer an external tool being used alongside education systems, but something being embedded directly into the learning process itself. Turnitin’s latest update reflects an attempt to make that integration more intentional, structured, and aligned with pedagogy.
As universities continue to adapt to this shift, tools such as Turnitin Clarity suggest a future in which academic integrity is less about detecting misuse after the fact and more about designing environments in which responsible AI use is built in from the start.
