Deep Learning Dialogues

The Post-Plagiarism World: Reimagining Student Disclosure in the AI Era


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In this thought-provoking episode of Deep Learning Dialogues, we explore a transformative question: What happens when we move beyond traditional notions of plagiarism in education? Our guest Sarah Elaine Eaton explains why requiring students to disclose AI use might be a temporary phase, drawing fascinating parallels to how we once treated dictionaries and now accept spell-check without question. Through engaging discussions about technology's evolution in education—from radio to television to AI—we unpack common fears and moral panics surrounding new tools in the classroom. The conversation challenges popular misconceptions about AI diminishing creativity and instead reveals how it might enhance human potential. Most importantly, we arrive at a reassuring conclusion: while the tools of education evolve, the irreplaceable role of teachers remains constant in shaping the future of learning. You can read more about the episode here.


Sarah Elaine Eaton is a Professor and research chair at the Werklund School of Education at the University of Calgary (Canada). She is an award-winning educator, researcher, and leader. She leads transdisciplinary research teams focused on the ethical implications of advanced technology use in educational contexts. Dr. Eaton also holds a concurrent appointment as an Honorary Associate Professor, Deakin University, Australia.


Faculty Profile: https://profiles.ucalgary.ca/sarah-elaine-eaton

Personal Blog: https://drsaraheaton.wordpress.com/

Twitter: https://twitter.com/DrSarahEaton


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LinkedIn: https://ca.linkedin.com/in/drsaraheaton

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Deep Learning DialoguesBy Katrina Gouett and Whitney McKinley