Growth Over Gotcha: Rethinking Plagiarism Detection in the Age of AI
Plagiarism Detection Isn’t Enough Anymore.
Discover how prevention-first strategies strengthen integrity and trust.
Highlights of this e-book:
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Practical guidance on designing integrity policies that build student trust, promote authentic work, and reduce misconduct before it starts.
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Real-world examples of how detection-only models can erode trust, lead to disputes, and damage institutional reputation.
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How prevention-first models can help achieve academic priorities like improving outcomes, retention, and student confidence.
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Key insights on the scale of AI use in student work today — to help shape policies, choose tools, and support faculty.
The Integrity Dilemma in the Age of AI
Academic integrity has never been more complex. As AI becomes a regular part of students’ learning processes—86% of college students now report using AI for their studies—educators are grappling with how best to respond. Traditional plagiarism detection tools are falling short in this new landscape. Instead of fostering growth, these tools often create a punitive environment that undermines trust and misses opportunities to help students build authentic skills.
This resource invites you to move beyond detection-only models and explore proactive, student-centered solutions that emphasize prevention, learning, and integrity.
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