Tag: education
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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.
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Embracing AI as a Teaching Tool: Practical Approaches for the Postplagiarism Classroom
Artificial intelligence (AI) can be a useful educational tool in the postplagiarism classroom. Effective strategies include incorporating AI into discussions, enhancing critical thinking, teaching fact-checking, and addressing ethical considerations. This shift fosters student engagement with technology, emphasizing evaluation over mere content creation and preparing them for future challenges.
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Postplagiarism in Times Higher Education
Karen Kenny discusses the concept of Postplagiarism in an article for Times Higher Education. The piece highlights evolving perspectives on academic integrity and originality in scholarly work. This is the first time postplagiarism has been mentioned in THE.
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Plagiarism (Re)Defined: Why Attribution Matters More Than Ever in a Postplagiarism World
The concept of plagiarism lacks a universal definition, being culturally and contextually influenced. It encompasses various types of work, including text, ideas, and designs. With a postplagiarism focus, we shift from punishment to fostering proper attribution practices, especially in light of AI’s impact on creativity. Institutions must clearly define and educate about plagiarism policies.
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Upcoming Talk: From Plagiarism to Postplagiarism: Navigating the GenAI Revolution in Higher Education
Join us on January 29, 2025, for the inaugural postplagiarism talk titled “From Plagiarism to Postplagiarism: Navigating the GenAI Revolution in Higher Education,” led by Dr. Sarah Elaine Eaton. This hybrid event will address integrating Generative AI in academia while maintaining integrity and fostering original scholarship. Register to participate!
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Understanding Postplagiarism: Ethics in the Digital Age
Postplagiarism is defined as a new era where advanced technologies, such as AI and brain-computer interfaces, change intellectual engagement. It emphasizes the importance of attribution and accountability, contrary to absolute relativism or merely relying on technology. Critical thinking and digital literacy are crucial in teaching ethical interactions with these tools.
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University Rankings Overlook Academic Retractions: A Postplagiarism Perspective
University rankings often emphasize metrics like publication counts but fail to consider critical issues like academic retractions due to misconduct. Recent studies highlight the impact of retractions on research quality and integrity, suggesting that ranking systems need to incorporate these factors to reflect authentic academic reputation accurately and ensure fairness among institutions.
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Artificial intelligence tools may widen the gap between international students from different language backgrounds
The rise of AI tools has bridged language gaps for international students but reveals challenges, particularly language bias. While some languages benefit from robust training data, others lag, affecting communication and academic performance. This digital divide necessitates targeted support and inclusive assessment methods to ensure equitable opportunities for all students regardless of their native language.
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Postplagiarism 