Address the originality of student work and emerging trends in misconduct with this comprehensive solution.
Deliver and grade paper-based assessments from anywhere using this modern assessment platform.
This high-stakes plagiarism checking tool is the gold standard for academic researchers and publishers.
This robust, comprehensive plagiarism checker fits seamlessly into existing workflows.
Give feedback and grade assignments with this tool that fosters writing excellence and academic integrity.
Improve program outcomes with instant data insights from secure digital exams taken offline.
Uphold academic integrity, streamline grading and feedback, and protect your reputation with these tools.
Improve student writing, check for text similarity, and help develop original thinking skills with these tools for teachers.
Publish with confidence using the tool top researchers and publishers trust to ensure the originality of scholarly works.
Discover the Turnitin Partner Program that offers flexible solutions for integration and commercial partnerships.
Get inspired by educators who are transforming assessment into meaningful learning while maintaining integrity at its core.
Follow our progress on detection initiatives for AI writing, ChatGPT, and AI-paraphrasing
A deep dive into our Turnitin study where we partnered with Dr. John Hattie and harnessed data from Turnitin...
AI writing tools are developing at a rapid pace and so is Turnitin’s technology to detect these emerging forms of...
At Turnitin, we’re incorporating the “big picture” of AI writing and its long-term benefits while at the same time...
Turnitin blog posts, delivered straight to your inbox.
Every day, new articles are published about Artificial Intelligence (AI) and particularly ChatGPT. Every day, educators report on students submitting work assisted or created by AI. Every day, another story pops up about AI tools that have passed the bar exam or an MBA exam in a notoriously rigorous course. We’re in deep now as educators have started to understand the threat, the responsibility, and the promise of AI. Our Turnitin Teaching and Learning team - all former and current educators - is there too, and one thing we’ve learned is that AI isn’t going away… and that’s okay.
More practitioners are beginning to realize that there could be some benefits to AI in education when implemented with intention. It is a balance, though, as not every use of AI tools will support teaching and learning. For example: What if AI is used to replace actual student thinking? What if it’s used to complete an entire assignment? That type of usage is the threat we as educators (yes, I am still teaching!) are working tirelessly to avoid. But WHAT IF there are things we can do to protect our writing assignments against student misuse for classrooms today?
We recently shared guidelines that focused on eleven strategies for approaching AI-generated text in your classroom. Today, we’re going to expand on five specific tactics for educators:
Notice that these five strategies focus on careful planning and approaching AI proactively. While time is a luxury educators do not have, these tactics may save time later responding to potential AI misuse cases. Let’s dig into the tactics:
How and to what extent is the use of a generative AI tool acceptable within academic environments? Changes to classroom practice rely on answering this question and updating academic integrity policies accordingly. Now is the time to research, discuss, and decide how institutions will respond to the rapidly evolving technology of AI. Our new guide for updating academic integrity policies in the age of AI walks through steps for getting started. We share ideas such as establishing a common lexicon like an AI vocabulary glossary and determining ethical use of AI.
While making institutional changes first is ideal, it may not happen fast enough. Most educators are feeling like they’re already playing catch-up and need tools to respond to AI advances right now. For those educators, we recommend answering the questions for their own classroom even as they work with colleagues and leaders for institutional change. Let’s be agile and develop best practices for AI in our classrooms.
Determining acceptable use of AI will inform changes to instruction and assessment. But what does acceptable use look like? That may vary vastly for each institution, department, classroom, and even assignment, but let’s look at some specific examples. As I suggested earlier, there can be positive benefits for AI in education. Perhaps an educator decides that it’s acceptable for students to use AI writing tools during prewriting (see #3 below) to brainstorm ideas or gain other points of view on a topic. Or maybe the educator decides to allow students to submit a draft to AI to get formative feedback on their work. If educators decide to go down this path, they must choose the right AI tool and personally test it to put parameters in place.
Introduce updated policies to students and talk to them about AI. The policy should be easily accessible to all stakeholders, particularly students. Consider asking students to lead activities to paraphrase policies and present to peers. One valuable exercise that Turnitin advocates have suggested is a classic “This… Not That” activity with scenarios that students can sort/label based on their understanding of the policy. Simply create a list of a few scenarios and have students sort which are acceptable and which are not. The activity itself is fantastic, but what is even more powerful is the discussion around why some uses are acceptable and others are not.
Developing best practices for crafting writing assignments that are resistant to student misuse of AI is imperative. As we’ve all likely read in the media, AI is proficient at some things, but not so proficient at others. If we, as educators, familiarize ourselves with the “answers” from an AI tool, then in theory, we should be able to modify our writing prompts to work around the technology. While this strategy isn’t foolproof, it will certainly help place some of those guardrails.
Let’s take an element that some generative AI writing tools struggle with today. In their current iteration, AI writing tools have been found to list sources that don’t actually exist. When prompted, the tool might provide references, but the sources may be fictitious. Therefore, adding a requirement for students to use verifiable sources with a reference list would help combat this issue. Beyond sources and citations, there’s additional criteria educators can consider when revisiting their assignments. Our team of veteran educators created an AI misuse rubric to help with just that. This rubric proposes four traits: student voice, critical thinking/reasoning, sources and citations, and personalization.
Consider comparing tried and true writing prompts against the rubric. Start by identifying which traits are relevant to an assignment and then assess how the prompt stacks up. Use the weaker areas to consider how it might be modified to better safeguard assignments against AI misuse. The closer a prompt gets to Advanced/Proficient, the less vulnerable to AI misuse it will be.
As a final step, educators should also update their scoring guides or rubrics to reflect new demands of the prompt. Early in my teaching career, a mentor of mine used to say, “Measure what matters most.” As we shift assignment/assessment design, our evaluation tools must be aligned. If scoring guides and rubrics heavily emphasize aspects of writing at which AI tools are skilled, the potential for misuse increases.
The writing process isn’t for novice writers only. Educators everywhere keep hearing how the existence of AI is going to force us to revisit our teaching practices. For those who might have stepped away from implementing the writing process, start there. The writing process isn’t for novice writers only, in part because preparing writing assignments so they include steps like prewriting and drafting will bring visibility to students’ work before a final submission. Leverage that process and require students to submit a draft, leave feedback on their work, and have them make revisions based on the feedback.Creating a writing culture with what feels like open dialogue between student and educator makes it much less likely for students to misuse AI. Additionally, research has proven that specific types of feedback have a quantifiably positive impact on student growth. A portfolio approach is one more way to improve visibility into not only the student’s work, but also their process, all of which adds up to protection against AI misconduct.
Will students use ChatGPT if they must discuss their work with a teacher or classmate? Maybe, but the probability certainly decreases. While requiring discussion may not eliminate the risk, it does provide another guardrail. Plan for assignments to include peer reviews, writing conferences, or reflection assignments live or in video format, creating another layer of visibility and open dialogue. Additionally, if they know they’ll need to share their work, students are often more invested. Not to mention, research shows that having students share their work boosts confidence and motivation toward the task (Simonsmeier et al., 2020).
While not exhaustive, these five strategies can at least serve as a place to begin, and by combining them they have an even greater impact. If educators are unsure where to start exactly, our AI misuse checklist lists these principles (and more!) to help guide them down the path of preparing writing assignments in the age of AI.