Tag: artificial intelligence
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Our Epistemic Boundaries between Learning and Assessment in a Postplagiarism Era
Bibek Dahal reflects on the postplagiarism speaker series led by Dr. Soroush Sabbaghan at the University of Calgary, focusing on the challenges of adapting learning and assessment practices in the era of generative AI. Key themes include the need for visible learning processes and prioritizing integrity, belonging, and human judgment over mere artifact-based assessments.
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Smart or Shallow? Reflections on Postplagiarism, Trust, and Learning with GenAI
Rahul Kumar’s presentation at the University of Calgary discusses the impact of GenAI on post-secondary education, emphasizing the emerging idea of “postplagiarism.” Students increasingly view traditional plagiarism definitions as inadequate amid AI usage, leading to questions of trust and reliance. Educators should focus on guiding AI use to enhance learning.
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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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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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New open access chapter: Corruption in the post-plagiarism era: weaponizing reputation and morality in the name of integrity in higher education
Sarah Elaine Eaton reflects on her admiration for Philip Altbach, Hans de Wit, and Elena Denisova-Schmidt, culminating in her contribution to the newly published “Handbook on Corruption in Higher Education.” Eaton’s chapter discusses corruption in the post-plagiarism era, exploring the manipulation of reputation and morality in higher education, emphasizing integrity.
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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.

