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Ed Webb

Four Core Priorities for Trauma-Informed Distance Learning - MindShift - 0 views

  • The loss of our usual habits can cause shock and grief, so one way educators and parents can prioritize predictability is by creating routines.
  • Because trauma involves a loss of control, inflexible teaching methods can trigger some students into survival mode.
  • Relationships are key to resilience, “so anything that teachers can do to help foster relationships should be a priority right now,”
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  • people affected by trauma sometimes interpret neutral signals as negative
  • “I invite (educators) to be crystal, crystal clear with students that you miss them and you care about them,”
  • Trauma takes power from people, so trauma-informed educators need to think critically about not reproducing that dynamic. Venet said that means dropping power struggles, such as the demands she’s seen that students wear certain clothes or sit in certain parts of their house during distance learning.
  • focus instead on empowering students through shared decision-making and authentic choice
  • model consent by not taking pictures of Zoom calls or sharing students’ work without permission
  • “Now more than ever, kids don’t need to be doing fake work. They don’t need to be doing worksheets,”
  • Use trauma as “a lens, not a label” to understand students. Trauma is a response, not an event. Do not assume that any particular child definitely did or did not experience something as trauma. Although the COVID-19 pandemic is creating widespread anxiety, not all kids are experiencing it as stressful. Resources and relationships play a role.
Ed Webb

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

  • 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.
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  • 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).
Ed Webb

The Greatest and Most Flawed Experiment Ever in Online Learning - CogDogBlog - 1 views

  • I don’t think we should at all be talking about “putting courses online.” What we are really faced with is coming up with some quick alternative modes for students to complete course work without showing up on campus. This does not call for apps and vendor solutions, but what the best teachers always do- improvise, change up on the fly when things change.
  • my suggestion an strategy would be… do as little as possible online. Use online for communicating, caring, attending to people’s needs, but not really for being the “course”. Flip that stuff outside.
  • This is why I cringe when what I seem to hear is “Zoom! Zoom! Can we have 30 students in zoom?” Everything you try to do online is going to call on for jumping unfair levels of barriers- access, technology, experience. I’d say recast your activities in ways students can do as much without going online- reading, writing, thinking, practicing, doing stuff away from the screen.
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  • The most important things to me are quickly establishing, and having backup modes, for students to be in touch with you, and you with them. As individuals. It might be direct messaging, email, texting. It could be but need not be something Slack-like. I’d really go simplest (email)
  • Get going with web annotation tools
  • We need not have just talking sessions for use of video. Think about drop in hours with Whereby (the new appear.in) – it lacks a need for logins and downloads, and works on mobile.
  • This experiment is going to.. well I bet, go bad in a lot of ways. I don’t know what we can expect of un-experienced teachers and unprepared students, who on top of all the concerns they carry and we rarely see, now have to ponder where they might live and sustain income to live on. It will be interesting… but it need not be awful nor a disaster, if we go about as sharing in the situation.
Ed Webb

Please do a bad job of putting your courses online - Rebecca Barrett-Fox - 0 views

  • Please do a bad job of putting your courses online
  • For my colleagues who are now being instructed to put some or all of the remainder of their semester online, now is a time to do a poor job of it. You are NOT building an online class. You are NOT teaching students who can be expected to be ready to learn online. And, most importantly, your class is NOT the highest priority of their OR your life right now. Release yourself from high expectations right now, because that’s the best way to help your students learn.
  • Remember the following as you move online: Your students know less about technology than you think. Many of them know less than you. Yes, even if they are digital natives and younger than you. They will be accessing the internet on their phones. They have limited data. They need to reserve it for things more important than online lectures. Students who did not sign up for an online course have no obligation to have a computer, high speed wifi, a printer/scanner, or a camera. Do not even survey them to ask if they have it. Even if they do, they are not required to tell you this. And if they do now, that doesn’t mean that they will when something breaks and they can’t afford to fix it because they just lost their job at the ski resort or off-campus bookstore. Students will be sharing their technology with other household members. They may have LESS time to do their schoolwork, not more.
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  • Social isolation contributes to mental health problems. Social isolation contributes to domestic violence.
  • Do not require synchronous work. Students should not need to show up at a specific time for anything. REFUSE to do any synchronous work.
  • Do not record lectures unless you need to. (This is fundamentally different from designing an online course, where recorded information is, I think, really important.) They will be a low priority for students, and they take up a lot of resources on your end and on theirs. You have already built a rapport with them, and they don’t need to hear your voice to remember that.
  • Do record lectures if you need to. When information cannot be learned otherwise, include a lecture. Your university already some kind of tech to record lectures. DO NOT simply record in PowerPoint as the audio quality is low. While many people recommend lectures of only 5 minutes, I find that my students really do listen to longer lectures. Still, remember that your students will be frequently interrupted in their listening, so a good rule is 1 concept per lecture. So, rather than a lecture on ALL of, say, gender inequality in your Intro to Soc course, deliver 5 minutes on pay inequity (or 15 minutes or 20 minutes, if that’s what you need) and then a separate lecture on #MeToo and yet another on domestic violence. Closed caption them using the video recording software your university provides. Note that YouTube also generates closed captions [edited to add: they are not ADA compliant, though]. If you don’t have to include images, skip the video recording and do a podcast instead.
  • Editing is a waste of your time right now.
  • Listen for them asking for help. They may be anxious. They may be tired. Many students are returning to their parents’ home where they may not be welcome. Others will be at home with partners who are violent. School has been a safe place for them, and now it’s not available to them. Your class may matter to them a lot when they are able to focus on it, but it may not matter much now, in contrast to all the other things they have to deal with. Don’t let that hurt your feelings, and don’t hold it against them in future semesters or when they come back to ask for a letter of recommendation.
  • Allow every exam or quiz to be taken at least twice, and tell students that this means that if there is a tech problem on the first attempt, the second attempt is their chance to correct it. This will save you from the work of resetting tests or quizzes when the internet fails or some other tech problem happens. And since it can be very hard to discern when such failures are really failures or students trying to win a second attempt at a quiz or test, you avoid having to deal with cheaters.
  • Do NOT require students to use online proctoring or force them to have themselves recorded during exams or quizzes. This is a fundamental violation of their privacy, and they did NOT sign up for that when they enrolled in your course.
  • Circumvent the need for proctoring by making every exam open-notes, open-book, and open-internet. The best way to avoid them taking tests together or sharing answers is to use a large test bank.
  • Remind them of due dates. It might feel like handholding, but be honest: Don’t you appreciate the text reminder from your dentist that you have an appointment tomorrow? Your LMS has an announcement system that allows you to write an announcement now and post it later.
  • Make everything self-grading if you can (yes, multiple choice and T/F on quizzes and tests) or low-stakes (completed/not completed).
  • Don’t do too much. Right now, your students don’t need it. They need time to do the other things they need to do.
  • Make all work due on the same day and time for the rest of the semester. I recommend Sunday night at 11:59 pm.
  • This advice is very different from that which I would share if you were designing an online course. I hope it’s helpful, and for those of you moving your courses online, I hope it helps you understand the labor that is required in building an online course a bit better.
Ed Webb

Online pivot & the absence of a magic button - The Ed Techie - 1 views

  • Now we’re getting into the online pivot more substantially, higher education institutions are coming to terms it may not be a short-term emergency shift. It looks like the first semester of the 2020-21 year may be online, and if Covid-19 flares up again, who knows how long it may continue. While you could get away with “sticking classes on Zoom” for the immediate emergency, that won’t cut it in the medium term.
  • I’m sorry to tell you – there is no Go Online button
  • The good news is that it is entirely possible to create good, online courses in just about any subject, and students will do well in them and their performance and long term understanding of the topics will be as good, if not better, than those taught face to face. So that’s the good news, higher education isn’t going to die.
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  • It is not cheapIt is not quickYou need to invest in building up your own staff expertiseIt will bring additional problems that you didn’t have beforeStudents will need different types of support
  • the main issue here is the cut in academic staff and the outsourcing of expertise. Invest in your staff.
  • a better solution is to invest in staff (and here institutions might want to get expertise in to help), use OER for content, and make strategic decisions that have as their basis the belief that online, distance ed is a useful, valid form of education.
Ed Webb

Waving the Asynchronous Flag - CogDogBlog - 0 views

  • in all the pivot talk, there’s a tinge of favoring the synchronous over the asynchronous
  • it’s not synchronous BAD / asynchronous GOOD
  • In terms of teaching, it seems now seen through sepia toned web glasses, is one of my favorite approaches, of participants/learners creating/writing/publishing in their own spaces and the class space being a syndication hub. The old gold ds106, which, as I must remind is still chugging along after 10 years, while in that span, most every Name Your Tech Fad has crested and sunk to the bottom of the Gartner hype trough
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  • I think we ought to be placing a lot of thought and effort into asynchronous events and activities
  • The whole idea of distributed activity, woven in with daily challenges and assignment banks, was asynchronous beauty. But not without synchronous bits, be it class visits or running live sessions on ds106radio. Twas a mix.
Ed Webb

The Ed-Tech Imaginary - 0 views

  • We can say "Black lives matter," but we must also demonstrate through our actions that Black lives matter, and that means we must radically alter many of our institutions and practices, recognizing their inhumanity and carcerality. And that includes, no doubt, ed-tech. How much of ed-tech is, to use Ruha Benjamin's phrase, "the new Jim Code"? How much of ed-tech is designed by those who imagine students as cheats or criminals, as deficient or negligent?
  • "Reimagining" is a verb that education reformers are quite fond of. And "reimagining" seems too often to mean simply defunding, privatizing, union-busting, dismantling, outsourcing.
  • if Betsy DeVos is out there "reimagining," then we best be resisting
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  • think we can view the promotion of ed-tech as a similar sort of process — the stories designed to convince us that the future of teaching and learning will be a technological wonder. The "jobs of the future that don't exist yet." The push for everyone to "learn to code."
  • The Matrix is, after all, a dystopia. So why would Matrix-style learning be desirable? Maybe that's the wrong question. Perhaps it's not so much that it's desirable, but it's just how our imaginations have been constructed, constricted even. We can't imagine any other ideal but speed and efficiency.
  • The first science fiction novel, published over 200 years ago, was in fact an ed-tech story: Mary Shelley's Frankenstein. While the book is commonly interpreted as a tale of bad science, it is also the story of bad education — something we tend to forget if we only know the story through the 1931 film version
  • Teaching machines and robot teachers were part of the Sixties' cultural imaginary — perhaps that's the problem with so many Boomer ed-reform leaders today. But that imaginary — certainly in the case of The Jetsons — was, upon close inspection, not always particularly radical or transformative. The students at Little Dipper Elementary still sat in desks in rows. The teacher still stood at the front of the class, punishing students who weren't paying attention.
  • we must also decolonize the ed-tech imaginary
  • Zuckerberg gave everyone at Facebook a copy of the Ernest Cline novel Ready Player One, for example, to get them excited about building technology for the future — a book that is really just a string of nostalgic references to Eighties white boy culture. And I always think about that New York Times interview with Sal Khan, where he said that "The science fiction books I like tend to relate to what we're doing at Khan Academy, like Orson Scott Card's 'Ender's Game' series." You mean, online math lectures are like a novel that justifies imperialism and genocide?! Wow.
  • This ed-tech imaginary is segregated. There are no Black students at the push-button school. There are no Black people in The Jetsons — no Black people living the American dream of the mid-twenty-first century
  • Part of the argument I make in my book is that much of education technology has been profoundly shaped by Skinner, even though I'd say that most practitioners today would say that they reject his theories; that cognitive science has supplanted behaviorism; and that after Ayn Rand and Noam Chomsky trashed Beyond Freedom and Dignity, no one paid attention to Skinner any more — which is odd considering there are whole academic programs devoted to "behavioral design," bestselling books devoted to the "nudge," and so on.
  • so much of the ed-tech imaginary is wrapped up in narratives about the Hero, the Weapon, the Machine, the Behavior, the Action, the Disruption. And it's so striking because education should be a practice of care, not conquest
Ed Webb

How much 'work' should my online course be for me and my students? - Dave's Educational... - 0 views

  • My recommendation for people planning their courses, is to stop thinking about ‘contact hours’. A contact hour is a constraint that is applied to the learning process because of the organizational need to have people share a space in a building. Also called a credit hour, (particularly for American universities) this has meant, from a workload perspective, that for every in class hour a student is meant to do at least 2 (in some cases 3) hours of study outside of class. Even Cliff Notes agrees with me. So… for a full load, that 30 to 45 Total Work Hours for students per course that you are designing.
  • Simple break down (not quite 90, yes i know) Watch 3 hours of video* – 5 hoursRead stuff – 20 hoursListen to me talk – 15 hoursTalk with other students in a group – 15 hoursWrite reflections about group chat – 7.5 hoursRespond to other people’s reflections – 7.5 hoursWork on a term paper – 10 hoursDo weekly quiz – 3 hoursWrite take home mid-term – 3 hoursWrite take home final – 3 hours
  • A thousand variations of this might be imagined
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  • a possible structure recommended by one of the faculty we were talking to was – read/watch, quiz, lecture, student group discussion, reflection. The reasoning here is that if you give learners (particularly new learners) a reading without some form of accountability (a quiz) they are much less likely to do it. I know that for me, when I’ve done the readings, I’m far more likely to attend class. Putting the student group discussion after the lecture gives students who can’t attend a synchronous session a chance to review the recording
  • The standardization police have been telling us for years that each student must learn the same things. Poppycock. Scaffolding doesn’t mean taking away student choice. There are numerous approaches to allowing a little or a lot of choice into your classes (learner contracts come to mind). Just remember, most students don’t want choice – at first. 12-16 years of training has told them that you the faculty member have something you want them to do and they need to find the trick of it. It will take a while until those students actually believe you want their actual opinion.
  • You can have a goal like – get them acculturated to the field – and work through your activities to get there. It’s harder, they will need your patience, but once they get their minds around it, it makes things much more interesting.
Ed Webb

Business as Unusual: The New Normal for Online Learning - BCcampus - 0 views

  • One of the most interesting changes that I saw in terms of online learning was the use of WhatsApp, a text and voice messaging app that is very popular in South Africa. Through the app’s group chat feature, instructors can moderate the discussion and students can leave voice notes, which gives them the ability to have their voices heard asynchronously
  • I’ve imagined a north–south dialogue. Now, due to COVID-19, it’s happening organically, and I’m in the process of reimagining the course I would have been teaching in Vancouver this summer as an online course. I need to factor in which apps to use, how to prepare for students who only have cellphones, and the reality that many students come from other countries to study at Emily Carr, and now they’ll be learning remotely. It’s fascinating that the forced global aspect of the classroom will influence the way I design the educational technology for my program
  • In the past, some educators might have been excited to tear everything apart and build it back up with a goal of helping students learn in a better way, but the institutions wouldn’t be able to support it. Not because they didn’t want to, but because it was difficult for them to do it. Now there’s an opportunity for institutions to let the reins go and encourage creative and new approaches. It’s scary, but it’s also inspiring for educators to have that freedom. The research is available, the interest is there, and the resources are open, so now is the time to make it happen
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  • “What surprised me was the resurgence of many of the zombie ideas about online learning creeping into the discussions, such as the idea that online learning isn’t as personal, or that you can’t have interactivity, or that it just doesn’t work. And while it is true you need to change how you think about your course — you can’t just replicate what you used to do in the classroom — there’s an opportunity to evolve your teaching practices and create a better learning experience for your students.”
  • What’s happening now is going to reshape education for years, if not decades.
  • People want the old normal, not the new normal. We will, to some degree, get back to what we know and love, but it won’t ever look like it did before
  • “Like your physical buildings on campus, you also have a somewhat invisible set of resources called your educational technology. If you don’t understand it well and don’t treat it as important infrastructure, your ability to move online sustainably will be challenged. Sometimes institutions see eLearning as a project, not a strategy. Online learning isn’t a fly-by-the-seat-of-your-pants project; it has to be integrated into your academic plan and institutional strategy. I hope that COVID-19 underlined that for institutions.”
  • “We’ve known for over 30 years now that one-hour lectures are not a great way to teach: you can have a good one-hour session, but can you have 13 over a semester? It’s about cognitive load, and students can’t focus for more than 15 to 20 minutes at a time without being distracted. There’s room for synchronous discussion, but we can do it better. There’s a huge amount of research into online learning and what happens when students have access to online learning whenever they want it. And just like in real life, you have to know how to do both synchronous and asynchronous interactions well.”
  • We need to make space for the voices of communities who haven’t traditionally been heard: non-traditional learners, students who are food or housing insecure, students who are neurodivergent, students of colour, and Indigenous students. We must think of all these populations and the degree to which our educational system — our technology, our platforms — has not been built for them. We do a lot of work to make our methods accessible, but at the core, our systems, institutions, and platforms aren’t really built for — or by — those students
  • s challenging as it is, I’m seeing online pedagogy’s focus on equity and care resonating with many of those new to the medium
  • I’ve used really experimental styles over the past few years, but I won’t be doing that as much over the coming year because I shouldn’t. My classes are traditionally where students get to work with tools and platforms outside of the norm. If everyone moving online treats it that way, the cognitive load on the students will be absolutely overwhelming. My right to flex my academic freedom regarding platforms should be superseded by care and consideration for my students’ cognitive loads across a program. Navigating different platforms and tools is hard and distracting.
  • “One of the most vital tools and resources that I’ve seen people using is their human capacities for compassion and patience — the degree to which faculty are stepping up and approaching their students from a place of care, and a place of genuine desire for students to feel a sense of hope, safety, and flexibility.”
Ed Webb

Offering Seminar Courses Remotely | Educatus - 0 views

  • In an online environment, seminars will work best if they occur asynchronously in the discussion boards in an LMS
  • The 4 key elements for a seminar that need to be replicated during remote instruction include: A prompt or text(s) that the student considers independently in advance Guiding questions that require analysis, synthesize and/or evaluation of ideas The opportunity to share personal thinking with a group Ideas being developed, rejected, and refined over time based on everyone’s contributions
  • Students need specific guidance and support for how to develop, reject, and refine ideas appropriately in your course.  If you want students to share well, consider requiring an initial post where you and students introduce yourselves and share a picture. Describe your expectations for norms in how everyone will behave online Provide a lot of initial feedback about the quality of posting.  Consider giving samples of good and bad posts, and remember to clarify your marking criteria. Focus your expectations on the quality of comments, and set maximums for the amount you expect to reduce your marking load and keep the discussions high quality. Someone will need to moderate the discussion. That includes posting the initial threads, reading what everyone posts all weeks and commenting to keep the discussion flowing.  Likely, the same person (you or a TA) will also be grading and providing private feedback to each student. Consider making the moderation of a discussion an assignment in your course. You can moderate the first few weeks to demonstrate what you want, and groups of students can moderate other weeks. It can increase engagement if done well, and definitely decreases your work load.
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  • Teach everyone to mute when not speaking, and turn off their cameras if they have bandwidth issues. Use the chat so people can agree and add ideas as other people are speaking, and teach people to raise their hands or add emoticons in the participants window to help you know who wants to speak next
Ed Webb

William Davies · How many words does it take to make a mistake? Education, Ed... - 0 views

  • 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.)
  • 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.
  • 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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  • This generation, the first not to have known life before the internet, has acquired a battery of skills in navigating digital environments, but it isn’t clear how well those skills line up with the ones traditionally accredited by universities.
  • From the perspective of students raised in a digital culture, the anti-plagiarism taboo no doubt seems to be just one more academic hang-up, a weird injunction to take perfectly adequate information, break it into pieces and refashion it. Students who pay for essays know what they are doing; others seem conscientious yet intimidated by secondary texts: presumably they won’t be able to improve on them, so why bother trying? For some years now, it’s been noticeable how many students arrive at university feeling that every interaction is a test they might fail. They are anxious. Writing seems fraught with risk, a highly complicated task that can be executed correctly or not.
  • Many students may like the flexibility recorded lectures give them, but the conversion of lectures into yet more digital ‘content’ further destabilises traditional conceptions of learning and writing
  • the evaluation forms which are now such a standard feature of campus life suggest that many students set a lot of store by the enthusiasm and care that are features of a good live lecture
  • the drift of universities towards a platform model, which makes it possible for students to pick up learning materials as and when it suits them. Until now, academics have resisted the push for ‘lecture capture’. It causes in-person attendance at lectures to fall dramatically, and it makes many lecturers feel like mediocre television presenters. Unions fear that extracting and storing teaching for posterity threatens lecturers’ job security and weakens the power of strikes. Thanks to Covid, this may already have happened.
  • In the utopia sold by the EdTech industry (the companies that provide platforms and software for online learning), pupils are guided and assessed continuously. When one task is completed correctly, the next begins, as in a computer game; meanwhile the platform providers are scraping and analysing data from the actions of millions of children. In this behaviourist set-up, teachers become more like coaches: they assist and motivate individual ‘learners’, but are no longer so important to the provision of education. And since it is no longer the sole responsibility of teachers or schools to deliver the curriculum, it becomes more centralised – the latest front in a forty-year battle to wrest control from the hands of teachers and local authorities.
  • an injunction against creative interpretation and writing, a deprivation that working-class children will feel at least as deeply as anyone else.
  • There may be very good reasons for delivering online teaching in segments, punctuated by tasks and feedback, but as Yandell observes, other ways of reading and writing are marginalised in the process. Without wishing to romanticise the lonely reader (or, for that matter, the lonely writer), something is lost when alternating periods of passivity and activity are compressed into interactivity, until eventually education becomes a continuous cybernetic loop of information and feedback. How many keystrokes or mouse-clicks before a student is told they’ve gone wrong? How many words does it take to make a mistake?
  • This vision of language as code may already have been a significant feature of the curriculum, but it appears to have been exacerbated by the switch to online teaching. In a journal article from August 2020, ‘Learning under Lockdown: English Teaching in the Time of Covid-19’, John Yandell notes that online classes create wholly closed worlds, where context and intertextuality disappear in favour of constant instruction. In these online environments, readingis informed not by prior reading experiences but by the toolkit that the teacher has provided, and ... is presented as occurring along a tramline of linear development. Different readings are reducible to better or worse readings: the more closely the student’s reading approximates to the already finalised teacher’s reading, the better it is. That, it would appear, is what reading with precision looks like.
  • Constant interaction across an interface may be a good basis for forms of learning that involve information-processing and problem-solving, where there is a right and a wrong answer. The cognitive skills that can be trained in this way are the ones computers themselves excel at: pattern recognition and computation. The worry, for anyone who cares about the humanities in particular, is about the oversimplifications required to conduct other forms of education in these ways.
  • Blanket surveillance replaces the need for formal assessment.
  • Confirming Adorno’s worst fears of the ‘primacy of practical reason’, reading is no longer dissociable from the execution of tasks. And, crucially, the ‘goals’ to be achieved through the ability to read, the ‘potential’ and ‘participation’ to be realised, are economic in nature.
  • since 2019, with the Treasury increasingly unhappy about the amount of student debt still sitting on the government’s balance sheet and the government resorting to ‘culture war’ at every opportunity, there has been an effort to single out degree programmes that represent ‘poor value for money’, measured in terms of graduate earnings. (For reasons best known to itself, the usually independent Institute for Fiscal Studies has been leading the way in finding correlations between degree programmes and future earnings.) Many of these programmes are in the arts and humanities, and are now habitually referred to by Tory politicians and their supporters in the media as ‘low-value degrees’.
  • studying the humanities may become a luxury reserved for those who can fall back on the cultural and financial advantages of their class position. (This effect has already been noticed among young people going into acting, where the results are more visible to the public than they are in academia or heritage organisations.)
  • given the changing class composition of the UK over the past thirty years, it’s not clear that contemporary elites have any more sympathy for the humanities than the Conservative Party does. A friend of mine recently attended an open day at a well-known London private school, and noticed that while there was a long queue to speak to the maths and science teachers, nobody was waiting to speak to the English teacher. When she asked what was going on, she was told: ‘I’m afraid parents here are very ambitious.’ Parents at such schools, where fees have tripled in real terms since the early 1980s, tend to work in financial and business services themselves, and spend their own days profitably manipulating and analysing numbers on screens. When it comes to the transmission of elite status from one generation to the next, Shakespeare or Plato no longer has the same cachet as economics or physics.
  • Leaving aside the strategic political use of terms such as ‘woke’ and ‘cancel culture’, it would be hard to deny that we live in an age of heightened anxiety over the words we use, in particular the labels we apply to people. This has benefits: it can help to bring discriminatory practices to light, potentially leading to institutional reform. It can also lead to fruitless, distracting public arguments, such as the one that rumbled on for weeks over Angela Rayner’s description of Conservatives as ‘scum’. More and more, words are dredged up, edited or rearranged for the purpose of harming someone. Isolated words have acquired a weightiness in contemporary politics and public argument, while on digital media snippets of text circulate without context, as if the meaning of a single sentence were perfectly contained within it, walled off from the surrounding text. The exemplary textual form in this regard is the newspaper headline or corporate slogan: a carefully curated series of words, designed to cut through the blizzard of competing information.
  • Visit any actual school or university today (as opposed to the imaginary ones described in the Daily Mail or the speeches of Conservative ministers) and you will find highly disciplined, hierarchical institutions, focused on metrics, performance evaluations, ‘behaviour’ and quantifiable ‘learning outcomes’.
  • If young people today worry about using the ‘wrong’ words, it isn’t because of the persistence of the leftist cultural power of forty years ago, but – on the contrary – because of the barrage of initiatives and technologies dedicated to reversing that power. The ideology of measurable literacy, combined with a digital net that has captured social and educational life, leaves young people ill at ease with the language they use and fearful of what might happen should they trip up.
  • It has become clear, as we witness the advance of Panopto, Class Dojo and the rest of the EdTech industry, that one of the great things about an old-fashioned classroom is the facilitation of unrecorded, unaudited speech, and of uninterrupted reading and writing.
Ed Webb

ChatGPT Is Nothing Like a Human, Says Linguist Emily Bender - 0 views

  • Please do not conflate word form and meaning. Mind your own credulity.
  • We’ve learned to make “machines that can mindlessly generate text,” Bender told me when we met this winter. “But we haven’t learned how to stop imagining the mind behind it.”
  • A handful of companies control what PricewaterhouseCoopers called a “$15.7 trillion game changer of an industry.” Those companies employ or finance the work of a huge chunk of the academics who understand how to make LLMs. This leaves few people with the expertise and authority to say, “Wait, why are these companies blurring the distinction between what is human and what’s a language model? Is this what we want?”
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  • “We call on the field to recognize that applications that aim to believably mimic humans bring risk of extreme harms,” she co-wrote in 2021. “Work on synthetic human behavior is a bright line in ethical Al development, where downstream effects need to be understood and modeled in order to block foreseeable harm to society and different social groups.”
  • chatbots that we easily confuse with humans are not just cute or unnerving. They sit on a bright line. Obscuring that line and blurring — bullshitting — what’s human and what’s not has the power to unravel society
  • She began learning from, then amplifying, Black women’s voices critiquing AI, including those of Joy Buolamwini (she founded the Algorithmic Justice League while at MIT) and Meredith Broussard (the author of Artificial Unintelligence: How Computers Misunderstand the World). She also started publicly challenging the term artificial intelligence, a sure way, as a middle-aged woman in a male field, to get yourself branded as a scold. The idea of intelligence has a white-supremacist history. And besides, “intelligent” according to what definition? The three-stratum definition? Howard Gardner’s theory of multiple intelligences? The Stanford-Binet Intelligence Scale? Bender remains particularly fond of an alternative name for AI proposed by a former member of the Italian Parliament: “Systematic Approaches to Learning Algorithms and Machine Inferences.” Then people would be out here asking, “Is this SALAMI intelligent? Can this SALAMI write a novel? Does this SALAMI deserve human rights?”
  • Tech-makers assuming their reality accurately represents the world create many different kinds of problems. The training data for ChatGPT is believed to include most or all of Wikipedia, pages linked from Reddit, a billion words grabbed off the internet. (It can’t include, say, e-book copies of everything in the Stanford library, as books are protected by copyright law.) The humans who wrote all those words online overrepresent white people. They overrepresent men. They overrepresent wealth. What’s more, we all know what’s out there on the internet: vast swamps of racism, sexism, homophobia, Islamophobia, neo-Nazism.
  • One fired Google employee told me succeeding in tech depends on “keeping your mouth shut to everything that’s disturbing.” Otherwise, you’re a problem. “Almost every senior woman in computer science has that rep. Now when I hear, ‘Oh, she’s a problem,’ I’m like, Oh, so you’re saying she’s a senior woman?”
  • “We haven’t learned to stop imagining the mind behind it.”
  • In March 2021, Bender published “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” with three co-authors. After the paper came out, two of the co-authors, both women, lost their jobs as co-leads of Google’s Ethical AI team.
  • “On the Dangers of Stochastic Parrots” is not a write-up of original research. It’s a synthesis of LLM critiques that Bender and others have made: of the biases encoded in the models; the near impossibility of studying what’s in the training data, given the fact they can contain billions of words; the costs to the climate; the problems with building technology that freezes language in time and thus locks in the problems of the past. Google initially approved the paper, a requirement for publications by staff. Then it rescinded approval and told the Google co-authors to take their names off it. Several did, but Google AI ethicist Timnit Gebru refused. Her colleague (and Bender’s former student) Margaret Mitchell changed her name on the paper to Shmargaret Shmitchell, a move intended, she said, to “index an event and a group of authors who got erased.” Gebru lost her job in December 2020, Mitchell in February 2021. Both women believe this was retaliation and brought their stories to the press. The stochastic-parrot paper went viral, at least by academic standards. The phrase stochastic parrot entered the tech lexicon.
  • Tech execs loved it. Programmers related to it. OpenAI CEO Sam Altman was in many ways the perfect audience: a self-identified hyperrationalist so acculturated to the tech bubble that he seemed to have lost perspective on the world beyond. “I think the nuclear mutually assured destruction rollout was bad for a bunch of reasons,” he said on AngelList Confidential in November. He’s also a believer in the so-called singularity, the tech fantasy that, at some point soon, the distinction between human and machine will collapse. “We are a few years in,” Altman wrote of the cyborg merge in 2017. “It’s probably going to happen sooner than most people think. Hardware is improving at an exponential rate … and the number of smart people working on AI is increasing exponentially as well. Double exponential functions get away from you fast.” On December 4, four days after ChatGPT was released, Altman tweeted, “i am a stochastic parrot, and so r u.”
  • “This is one of the moves that turn up ridiculously frequently. People saying, ‘Well, people are just stochastic parrots,’” she said. “People want to believe so badly that these language models are actually intelligent that they’re willing to take themselves as a point of reference and devalue that to match what the language model can do.”
  • The membrane between academia and industry is permeable almost everywhere; the membrane is practically nonexistent at Stanford, a school so entangled with tech that it can be hard to tell where the university ends and the businesses begin.
  • “No wonder that men who live day in and day out with machines to which they believe themselves to have become slaves begin to believe that men are machines.”
  • what’s tenure for, after all?
  • LLMs are tools made by specific people — people who stand to accumulate huge amounts of money and power, people enamored with the idea of the singularity. The project threatens to blow up what is human in a species sense. But it’s not about humility. It’s not about all of us. It’s not about becoming a humble creation among the world’s others. It’s about some of us — let’s be honest — becoming a superspecies. This is the darkness that awaits when we lose a firm boundary around the idea that humans, all of us, are equally worthy as is.
  • The AI dream is “governed by the perfectibility thesis, and that’s where we see a fascist form of the human.”
  • “Why are you trying to trick people into thinking that it really feels sad that you lost your phone?”
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