When teachers attempt to deter cheating with severe penalties, such as failing the course, the burden of proof is on the accuser. AI use is challenging to detect because detection tools are not 100% accurate, particularly when grammar tools are used. However, that doesn't mean nothing can be done to prevent cheating or ensure integrity.
Teach Students About Plagiarism (2:44) - Plagiarism has always been a challenge, but how does AI complicate things for students and instructors?
Acknowledge the limits of detecting and accusing students of cheating.
Regardless of students’ access to AI tools, cheating has been and continues to be endemic. The fact that AI detection tools are not foolproof (Fleckenstein et al., 2023) and can be gamed by students (Dougall, 2024) means accusations of cheating will continue to be difficult to prove, time-consuming, and require the teacher to carry the burden of accusatory proof.
Minimize conditions where cheating is most likely to occur.
Students are more likely to cheat when they face unrealistic expectations to achieve, believe they are anonymous, lack the time to produce quality results, and when teachers emphasize performance goals rather than learning goals.
Emphasize integrity by focusing on transparency, explainability, and relationships.
Inquiry about cheating begins with the question “Did the student actually do the work?” Inquiry about integrity begins with the question “Does this work accurately represent the student’s skills and understandings?” Teachers can help learners support claims about the integrity of their work by consistently asking them to show evidence of transparency and explainability (Frontier, 2025).
Use strategies that support integrity, maximize learning, and minimize cheating.
4.1 Align expectations with opportunities to learn. The greater the alignment between stated teaching priorities and students’ learning opportunities, the better students can pursue rigorous and realistic goals.
4.2 Affirm students at the starting line. When students believe their teachers care about them and know their current abilities, they are more likely to act with integrity.
4.3 Create clear boundaries for what resources can and cannot be used for formative and summative work.
4.4 Acknowledge progress at checkpoints. Checkpoints along the route aren’t punitive. They ensure participants are on track toward a successful finish.
4.5 Provide consistent expectations for acknowledging sources and outside help.
4.6 Consistently seek evidence of transparency and explainability.
4.7 Frame integrity as the basis of your partnership for effective teaching and learning.
Cheating is using a tool or resource to misrepresent one’s knowledge and skills to receive undue credit for a task. The accuser needs to support a claim about cheating with evidence that cheating occurred.
Integrity describes a commitment to ensure one’s completion of a task accurately represents the knowledge and skills one actually possesses. A claim about integrity is supported by a learner’s ability to transparently document and reflect on the learning process and explain or expand on their results.
Transparency occurs when students document their steps and resources used to prepare for and engage in a task.
Explainability occurs when students can explain, expand, and reflect on what they’ve learned and their evidence of learning.
From: Frontier, T. (2025, May 11). Catch Them Learning: A Pathway to Academic Integrity in the Age of AI. Cult of Pedagogy.See AI Syllabus Statements and Course Policies by Yost, L. (2024) and Chapter 4, Setting Policy and Communicating Expectations by Heaps, T. (2024).
Student Guide to AI. (2024, July 22). The essential AI “how-to” manual. Elon University and the American Association of Colleges and Universities (AACU).
Academic Integrity Pertaining to Artificial Intelligence (Drexel University syllabus statement)
ChatGPT Syllabus Statement Guidance (Temple University syllabus statement)
AI Policy Statements (Marshall University)
Office of Teaching Evaluation and Assessment Research (Rutgers University AI statement)
Using Generative AI in Coursework (Boston University AI statement)
Eaton, S. E. (2023, February 25). 6 Tenets of Postplagiarism: Writing in the Age of Artificial Intelligence. Learning, Teaching and Leadership.
Gewirtz, D. (2025, February 13). I tested 10 AI content detectors - and these 3 correctly identified AI text every time. ZDNET.
GPTZero | Originality.ai | Undetectable
"I would advocate caution before relying on the results of any (all) of these tools."