Category: academic integrity
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ChatGPT is in classrooms. What now?
“What should we be assessing exactly?” This was a question one of our research participants asked when we interviewed them as part of our project on artificial intelligence and academic integrity, sponsored by a University of Calgary Teaching Grant. In an article published in The Conversation, we provide highlights of the results from our interviews…
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Translating Knowledge for Global Impact: How Jacque Bampi Brought Postplagiarism Principles to Portuguese
The translation of the infographic “6 Principles of Post-Plagiarism: The Art of Writing in the Age of Artificial Intelligence” into Portuguese by Jacque Bampi promotes academic integrity and innovation in a digital landscape. It addresses key principles of writing and ethics, ensuring accessibility for Portuguese-speaking educators and fostering inclusive discussions on these vital topics.
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What Should We Be Assessing in a World with AI? Insights from Higher Education Educators
The emergence of generative AI, such as ChatGPT, challenges assessment practices in higher education. A study of 28 Canadian educators found a consensus on assessing prompting and critical thinking skills while raising concerns about writing assessments. Emphasizing ethical AI integration, educators highlight the need for ongoing discussions on maintaining academic integrity in technology-driven environments.
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Postplagiarism Fundamentals: Integrity and Ethics in the Age of GenAI
Dr. Sarah Elaine Eaton’s presentation on postplagiarism introduces a framework for understanding integrity and ethics amidst generative AI advancements. She outlines six tenets highlighting the importance of responsibility in writing, the role of attribution, and shifts in educational practices. The concept promotes teaching over policing in academic integrity, gaining global recognition.
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A Brief History of Postplagiarism: Or, Why Fabrication is Not the New Flattery
In this post I share how I discovered a peer-reviewed article on postplagiarism that includes fake references, including attributed work that I never wrote. I summarize legitimate contributions to the postplagiarism discourse, emphasizing the importance of responsibility in written work, and highlight our website offering free resources.
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Decriminalizing Academic Integrity Language
Sarah Elaine Eaton discusses the concept of decriminalizing language related to academic misconduct, emphasizing a supportive, educational approach rather than a punitive one.This shift encourages dignity and ethical decision-making in academia.
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2025-2026 Postplagiarism Speaker Series: Navigating AI in Education
The 2025-2026 Postplagiarism Speaker Series, hosted by CAIELI at the University of Calgary, explores AI’s impact on education and academic integrity. It features leading researchers discussing practical strategies for integrating AI while preserving ethical standards. The series aims to reshape assessments and cultivate integrity in AI-enhanced learning environments.
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New Open Access Chapter: “Pedagogical Ethics: Navigating Learning in a Generative AI-Augmented Environment in a Post-Plagiarism Era”
The chapter “Pedagogical Ethics: Navigating Learning in a Generative AI-Augmented Environment in a Post-Plagiarism Era,” co-authored by Sarah Elaine Eaton and Mohammad Keyhani, discusses the implications of generative AI in education, focusing on academic integrity and pedagogical ethics. It emphasizes learner agency and offers guidance for educators, available as open access.
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Postplagiarism: Understanding the Difference Between Referencing and Giving Attribution
In the talks I give on postplagiarism, I distinguish between attribution and referencing amid evolving academic practices influenced by artificial intelligence. Attribution transcends mere technical referencing. The discourse urges an exploration of attribution as an ethical commitment in the postplagiarism era.
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Teaching Fact-Checking Through Deliberate Errors: An Essential AI Literacy Skill
This teaching resource presents a method for enhancing AI literacy by engaging students in fact-checking AI-generated content with intentional inaccuracies. It emphasizes systematic verification processes, critical evaluation of sources, and understanding AI error patterns, equipping students with essential skills to discern accurate information in a postplagiarism landscape.
Postplagiarism 