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Ed Webb

Keep the 'Research,' Ditch the 'Paper' - Commentary - The Chronicle of Higher Education - 1 views

chronicle.com/...144653

education research writing assignments

shared by Ed Webb on 29 Jul 14 - No Cached
  • 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
  • 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."
  • What happens when a newly employed person tries to pass off quote-farmed drivel as professional communication?
  • ...6 more annotations...
  • Generally these papers are just pumped-up versions of the five-paragraph essay, with filler added. Thesis-driven, argumentative, like the newspaper editorials the genre is based on, this "researched writing" promises to solve big questions with little effort: "Reproductive rights resolved in five pages!"
  • Actual writing related to research is modest, qualified, and hesitant
  • our actual model involves elaborately respectful conversation, demonstrating sensitivity to the most nuanced claims of previous researchers
  • Academic, legal, medical, and business writing has easily understandable conventions. We responsibly survey the existing literature, formally or informally creating an annotated bibliography. We write a review of the literature, identifying a "blank" spot ignored by other scholars, or a "bright" spot where we see conflicting evidence. We describe the nature of our research in terms of a contribution to the blank or bright spot in that conversation. We conclude by pointing to further questions.
  • Millions of pieces of research writing that aren’t essays usefully circulate in the profession through any number of sharing technologies, including presentations and posters; grant and experiment proposals; curated, arranged, translated, or visualized data; knowledgeable dialogue in online media with working professionals; independent journalism, arts reviews, and Wikipedia entries; documentary pitches, scripts and storyboards; and informative websites.
  • real researchers don’t write a word unless they have something to contribute. We should teach our students to do the same
Ed Webb

Views: How Tweet It Is - Inside Higher Ed - 0 views

www.insidehighered.com/...mclemee246

twitter education technology

shared by Ed Webb on 23 Aug 09 - Cached
  • 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.
  • 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.
  • 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.”
Ed Webb

CRITICAL AI: Adapting College Writing for the Age of Large Language Models such as Chat... - 1 views

criticalai.org/...-some-next-steps-for-educators

AI education opinion internet analysis pedagogy

shared by Ed Webb on 28 Jan 23 - Cached
  • 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.
  • Make explicit that the goal of writing is neither a product nor a grade but, rather, a process that empowers critical thinking
  • 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.
  • ...9 more annotations...
  • LLMs usually cannot do a good job of explaining how a particular passage from a longer text illuminates the whole of that longer text. Moreover, ChatGPT’s outputs on comparison and contrast are often superficial. Typically the system breaks down a task of logical comparison into bite-size pieces, conveys shallow information about each of those pieces, and then formulaically “compares” and “contrasts” in a noticeably superficial or repetitive way. 
  • In-class writing, whether digital or handwritten, may have downsides for students with anxiety and disabilities
  • ChatGPT can produce outputs that take the form of  “brainstorms,” outlines, and drafts. It can also provide commentary in the style of peer review or self-analysis. Nonetheless, students would need to coordinate multiple submissions of automated work in order to complete this type of assignment with a text generator.  
  • No one should present auto-generated writing as their own on the expectation that this deception is undiscoverable. 
  • LLMs often mimic the harmful prejudices, misconceptions, and biases found in data scraped from the internet
  • Show students examples of inaccuracy, bias, logical, and stylistic problems in automated outputs. We can build students’ cognitive abilities by modeling and encouraging this kind of critique. Given that social media and the internet are full of bogus accounts using synthetic text, alerting students to the intrinsic problems of such writing could be beneficial. (See the “ChatGPT/LLM Errors Tracker,” maintained by Gary Marcus and Ernest Davis.)
  • Since ChatGPT is good at grammar and syntax but suffers from formulaic, derivative, or inaccurate content, it seems like a poor foundation for building students’ skills and may circumvent their independent thinking.
  • Good journalism on language models is surprisingly hard to find since the technology is so new and the hype is ubiquitous. Here are a few reliable short pieces.     “ChatGPT Advice Academics Can Use Now” edited by Susan Dagostino, Inside Higher Ed, January 12, 2023  “University students recruit AI to write essays for them. Now what?” by Katyanna Quach, The Register, December 27, 2022  “How to spot AI-generated text” by Melissa Heikkilä, MIT Technology Review, December 19, 2022  The Road to AI We Can Trust, Substack by Gary Marcus, a cognitive scientist and AI researcher who writes frequently and lucidly about the topic. See also Gary Marcus and Ernest Davis, “GPT-3, Bloviator: OpenAI’s Language Generator Has No Idea What It’s Talking About” (2020).
  • “On the Dangers of Stochastic Parrots” by Emily M. Bender, Timnit Gebru, et al, FAccT ’21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, March 2021. Association for Computing Machinery, doi: 10.1145/3442188. A blog post summarizing and discussing the above essay derived from a Critical AI @ Rutgers workshop on the essay: summarizes key arguments, reprises discussion, and includes links to video-recorded presentations by digital humanist Katherine Bode (ANU) and computer scientist and NLP researcher Matthew Stone (Rutgers).
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