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Ensuring academic integrity in the AI age

eSchool News

This is a great opportunity to discuss what is and isn’t a violation of academic integrity. Consider the stakes Derek Newton, author of the academic integrity newsletter The Cheat Sheet , often compares AI detectors to metal detectors. Should they ask for an extension? Or just turn in that bad pre-AI first draft?

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California colleges spend millions to catch plagiarism and AI. Is the faulty tech worth it?

Cal Matters

It has been more than two years since the release of ChatGPT created widespread dismay over generative AI’s threat to academic integrity. Turnitin, a longtime leader in the plagiarism-detection market, released a new tool within six months of ChatGPT’s debut to identify AI-generated writing in students’ assignments.

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Gen Z educators embrace AI tools more often than Gen X

eSchool News

Key points: Most educators want AI policies that strengthen the human side of education Ensuring academic integrity in the AI age You’re using ChatGPT? Privacy, decreased academic integrity, and equity issues were also cited (combined 40 percent). Only 9 percent said they have no concerns about AI in education.

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Catch them Learning: A Pathway to Academic Integrity in the Age of AI

Cult of Pedagogy

As the potential for students to misuse AI tools raises ongoing questions about accountability, cheating, and academic integrity, a scandal from the past offers insights into the future. The following steps can help you, and your students, take action to ensure academic integrity. What we know about academic integrity.

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Easy to find, not always true: Helping students evaluate AI-generated content

eSchool News

Ethical AI use and academic integrity Generative AI tools introduce powerful possibilities including significant reductions, as well as a new frontier of plagiarism and uncritical thinking. If a student submits a summary produced by ChatGPT without review or citation, have they truly learned anything?

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A Values-Based Approach to Using Gen AI

Faculty Focus

As Generative AI (GenAI, a subset of AI that can produce content, ideas, and data by learning from existing data and patterns) has become prevalent, so have a wide range of concerns about its usage: authenticity, critical thinking, bias, representation, plagiarism, and sustainability, to name a few. For a while, I felt paralyzed.

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A Values-Based Approach to Using Gen AI

Faculty Focus

As Generative AI (GenAI, a subset of AI that can produce content, ideas, and data by learning from existing data and patterns) has become prevalent, so have a wide range of concerns about its usage: authenticity, critical thinking, bias, representation, plagiarism, and sustainability, to name a few. For a while, I felt paralyzed.