we need to construct meaningful opportunities for students to actually engage in research—to become modest but real contributors to the research on an actual question. When students write up the work they’ve actually performed, they create data and potential contributions to knowledge, contributions that can be digitally published or shared with a target community
Keep the 'Research,' Ditch the 'Paper' - Commentary - The Chronicle of Higher Education - 1 views
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Schuman’s critique of traditional writing instruction is sadly accurate. The skill it teaches most students is little more than a smash-and-grab assault on the secondary literature. Students open a window onto a search engine or database. They punch through to the first half-dozen items. Snatching random gems that seem to support their preconceived thesis, they change a few words, cobble it all together with class notes in the form of an argument, and call it "proving a thesis."
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What happens when a newly employed person tries to pass off quote-farmed drivel as professional communication?
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Views: How Tweet It Is - Inside Higher Ed - 0 views
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Part of my interest in this turn to Twitter comes from disappointment with most university press blogs, which often seem more like PR vehicles than genuine blogs with discussion, disagreement, expressions of real enthusiasm or curiosity or whatever. Reading very many of them at one sitting feels like attending a banquet where you are served salt-free soda crackers and caffeine-free Mountain Dew that's gone flat.By contrast, university-press publicists seem more inclined to experiment and to follow tangents with Twitter than they do on their own official websites. They link to material they have posted at the press’s blog, of course – but also to news and commentary that may be only obliquely related to the books in their catalog. It’s as if they escape from beneath the institutional superego long enough to get into the spirit of blogging, proper.
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The range and the interest of Duke's tweets make its presence exemplary, in my opinion. Between drafting and rewriting this column, for example, I followed Duke's tweets to a newspaper article about whether or not English was approaching one million words, a blog post about rock songs cued to Joyce's Ulysses, and the Twitter feed of Duke author Negar Mottahedeh, who has been posting about events in Iran.
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She then makes a point that bears stressing given how often university-press blogs tend to be coated in institutional gray: “I think that any kind of social networking needs to have a personality tied to it in order for it to be successful. Also, I think you really need to participate in the media in order for it to be successful. We ask people for questions and opinions, offer giveaways sometimes. My main goal is to try to get people talking -- either with me or with each other about our books and authors.... You can't just provide information or news feeds to reviews and articles about your books. Involving the Press in what is going, contributing to the various discussions, and asking (and answering) questions is really the way to grow your following.”
CRITICAL AI: Adapting College Writing for the Age of Large Language Models such as Chat... - 1 views
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In the long run, we believe, teachers need to help students develop a critical awareness of generative machine models: how they work; why their content is often biased, false, or simplistic; and what their social, intellectual, and environmental implications might be. But that kind of preparation takes time, not least because journalism on this topic is often clickbait-driven, and “AI” discourse tends to be jargony, hype-laden, and conflated with science fiction.
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Make explicit that the goal of writing is neither a product nor a grade but, rather, a process that empowers critical thinking
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Students are more likely to misuse text generators if they trust them too much. The term “Artificial Intelligence” (“AI”) has become a marketing tool for hyping products. For all their impressiveness, these systems are not intelligent in the conventional sense of that term. They are elaborate statistical models that rely on mass troves of data—which has often been scraped indiscriminately from the web and used without knowledge or consent.
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