You can’t make any sweeping generalizations based on the results
The Wired Campus - Do Students Cheat More in Online Classes? Maybe not. - The Chronicle... - 0 views
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older students tend to cheat less frequently than younger students
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If you are interested in this topic, look for the interesting edited book called Student Plagiarism in an Online World: http://www.igi-global.com/reference/details.asp?ID=7031&v=tableOfContentsI wrote a chapter called, "Expect Originality! Using Taxonomies to Structure Assignments that Support Original Work." In it I discuss the complexities of plagiarism in the context of a digital culture of sharing and suggest that it is rarely black and white. I propose a continuum with intentional academic dishonesty on one end and original work on the other, with gradations in between. Based on my own research and teaching experience, I believe the instructional design and style of teaching can either make it easy-- or very difficult-- to cheat.
Plagiarism | Common Craft - 1 views
William Davies · How many words does it take to make a mistake? Education, Ed... - 0 views
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The problem waiting round the corner for universities is essays generated by AI, which will leave a textual pattern-spotter like Turnitin in the dust. (Earlier this year, I came across one essay that felt deeply odd in some not quite human way, but I had no tangible evidence that anything untoward had occurred, so that was that.)
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To accuse someone of plagiarism is to make a moral charge regarding intentions. But establishing intent isn’t straightforward. More often than not, the hearings bleed into discussions of issues that could be gathered under the heading of student ‘wellbeing’, which all universities have been struggling to come to terms with in recent years.
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I have heard plenty of dubious excuses for acts of plagiarism during these hearings. But there is one recurring explanation which, it seems to me, deserves more thoughtful consideration: ‘I took too many notes.’ It isn’t just students who are familiar with information overload, one of whose effects is to morph authorship into a desperate form of curatorial management, organising chunks of text on a screen. The discerning scholarly self on which the humanities depend was conceived as the product of transitions between spaces – library, lecture hall, seminar room, study – linked together by work with pen and paper. When all this is replaced by the interface with screen and keyboard, and everything dissolves into a unitary flow of ‘content’, the identity of the author – as distinct from the texts they have read – becomes harder to delineate.
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High-Tech Cheating on Homework Abounds, and Professors Are Partly to Blame - Technology... - 0 views
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"I call it 'technological detachment phenomenon,'" he told me recently. "As long as there's some technology between me and the action, then I'm not culpable for the action." By that logic, if someone else posted homework solutions online, what's wrong with downloading them?
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"The feeling about homework is that it's really just busywork,"
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professors didn't put much effort into teaching, so students don't put real effort into learning
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Academic Integrity Keynote - 0 views
Google and Meta moved cautiously on AI. Then came OpenAI's ChatGPT. - The Washington Post - 0 views
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The surge of attention around ChatGPT is prompting pressure inside tech giants including Meta and Google to move faster, potentially sweeping safety concerns aside
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Tech giants have been skittish since public debacles like Microsoft’s Tay, which it took down in less than a day in 2016 after trolls prompted the bot to call for a race war, suggest Hitler was right and tweet “Jews did 9/11.”
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Some AI ethicists fear that Big Tech’s rush to market could expose billions of people to potential harms — such as sharing inaccurate information, generating fake photos or giving students the ability to cheat on school tests — before trust and safety experts have been able to study the risks. Others in the field share OpenAI’s philosophy that releasing the tools to the public, often nominally in a “beta” phase after mitigating some predictable risks, is the only way to assess real world harms.
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