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Ed Webb

What Bruce Sterling Actually Said About Web 2.0 at Webstock 09 | Beyond the Beyond from... - 0 views

  • things in it that pretended to be ideas, but were not ideas at all: they were attitudes
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  • A sentence is a verbal construction meant to express a complete thought. This congelation that Tim O'Reilly constructed, that is not a complete thought. It's a network in permanent beta.
  • This chart is five years old now, which is 35 years old in Internet years, but intellectually speaking, it's still new in the world. It's alarming how hard it is to say anything constructive about this from any previous cultural framework.
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  • "The cloud as platform." That is insanely great. Right? You can't build a "platform" on a "cloud!" That is a wildly mixed metaphor! A cloud is insubstantial, while a platform is a solid foundation! The platform falls through the cloud and is smashed to earth like a plummeting stock price!
  • luckily, we have computers in banking now. That means Moore's law is gonna save us! Instead of it being really obvious who owes what to whom, we can have a fluid, formless ownership structure that's always in permanent beta. As long as we keep moving forward, adding attractive new features, the situation is booming!
  • Web 2.0 is supposed to be business. This isn't a public utility or a public service, like the old model of an Information Superhighway established for the public good.
  • it's turtles all the way down
  • "Tagging not taxonomy." Okay, I love folksonomy, but I don't think it's gone very far. There have been books written about how ambient searchability through folksonomy destroys the need for any solid taxonomy. Not really. The reality is that we don't have a choice, because we have no conceivable taxonomy that can catalog the avalanche of stuff on the Web.
  • JavaScript is the duct tape of the Web. Why? Because you can do anything with it. It's not the steel girders of the web, it's not the laws of physics of the web. Javascript is beloved of web hackers because it's an ultimate kludge material that can stick anything to anything. It's a cloud, a web, a highway, a platform and a floor wax. Guys with attitude use JavaScript.
  • Before the 1990s, nobody had any "business revolutions." People in trade are supposed to be very into long-term contracts, a stable regulatory environment, risk management, and predictable returns to stockholders. Revolutions don't advance those things. Revolutions annihilate those things. Is that "businesslike"? By whose standards?
  • I just wonder what kind of rattletrap duct-taped mayhem is disguised under a smooth oxymoron like "collective intelligence."
  • the people whose granular bits of input are aggregated by Google are not a "collective." They're not a community. They never talk to each other. They've got basically zero influence on what Google chooses to do with their mouseclicks. What's "collective" about that?
  • I really think it's the original sin of geekdom, a kind of geek thought-crime, to think that just because you yourself can think algorithmically, and impose some of that on a machine, that this is "intelligence." That is not intelligence. That is rules-based machine behavior. It's code being executed. It's a powerful thing, it's a beautiful thing, but to call that "intelligence" is dehumanizing. You should stop that. It does not make you look high-tech, advanced, and cool. It makes you look delusionary.
  • I'd definitely like some better term for "collective intelligence," something a little less streamlined and metaphysical. Maybe something like "primeval meme ooze" or "semi-autonomous data propagation." Even some Kevin Kelly style "neobiological out of control emergent architectures." Because those weird new structures are here, they're growing fast, we depend on them for mission-critical acts, and we're not gonna get rid of them any more than we can get rid of termite mounds.
  • Web 2.0 guys: they've got their laptops with whimsical stickers, the tattoos, the startup T-shirts, the brainy-glasses -- you can tell them from the general population at a glance. They're a true creative subculture, not a counterculture exactly -- but in their number, their relationship to the population, quite like the Arts and Crafts people from a hundred years ago. Arts and Crafts people, they had a lot of bad ideas -- much worse ideas than Tim O'Reilly's ideas. It wouldn't bother me any if Tim O'Reilly was Governor of California -- he couldn't be any weirder than that guy they've got already. Arts and Crafts people gave it their best shot, they were in earnest -- but everything they thought they knew about reality was blown to pieces by the First World War. After that misfortune, there were still plenty of creative people surviving. Futurists, Surrealists, Dadaists -- and man, they all despised Arts and Crafts. Everything about Art Nouveau that was sexy and sensual and liberating and flower-like, man, that stank in their nostrils. They thought that Art Nouveau people were like moronic children.
  • in the past eighteen months, 24 months, we've seen ubiquity initiatives from Nokia, Cisco, General Electric, IBM... Microsoft even, Jesus, Microsoft, the place where innovative ideas go to die.
  • what comes next is a web with big holes blown in it. A spiderweb in a storm. The turtles get knocked out from under it, the platform sinks through the cloud. A lot of the inherent contradictions of the web get revealed, the contradictions in the oxymorons smash into each other. The web has to stop being a meringue frosting on the top of business, this make-do melange of mashups and abstraction layers. Web 2.0 goes away. Its work is done. The thing I always loved best about Web 2.0 was its implicit expiration date. It really took guts to say that: well, we've got a bunch of cool initiatives here, and we know they're not gonna last very long. It's not Utopia, it's not a New World Order, it's just a brave attempt to sweep up the ashes of the burst Internet Bubble and build something big and fast with the small burnt-up bits that were loosely joined. That showed more maturity than Web 1.0. It was visionary, it was inspiring, but there were fewer moon rockets flying out of its head. "Gosh, we're really sorry that we accidentally ruined the NASDAQ." We're Internet business people, but maybe we should spend less of our time stock-kiting. The Web's a communications medium -- how 'bout working on the computer interface, so that people can really communicate? That effort was time well spent. Really.
  • The poorest people in the world love cellphones.
  • Digital culture, I knew it well. It died -- young, fast and pretty. It's all about network culture now.
  • There's gonna be a Transition Web. Your economic system collapses: Eastern Europe, Russia, the Transition Economy, that bracing experience is for everybody now. Except it's not Communism transitioning toward capitalism. It's the whole world into transition toward something we don't even have proper words for.
  • The Transition Web is a culture model. If it's gonna work, it's got to replace things that we used to pay for with things that we just plain use.
  • Not every Internet address was a dotcom. In fact, dotcoms showed up pretty late in the day, and they were not exactly welcome. There were dot-orgs, dot edus, dot nets, dot govs, and dot localities. Once upon a time there were lots of social enterprises that lived outside the market; social movements, political parties, mutual aid societies, philanthropies. Churches, criminal organizations -- you're bound to see plenty of both of those in a transition... Labor unions... not little ones, but big ones like Solidarity in Poland; dissident organizations, not hobby activists, big dissent, like Charter 77 in Czechoslovakia. Armies, national guards. Rescue operations. Global non-governmental organizations. Davos Forums, Bilderberg guys. Retired people. The old people can't hold down jobs in the market. Man, there's a lot of 'em. Billions. What are our old people supposed to do with themselves? Websurf, I'm thinking. They're wise, they're knowledgeable, they're generous by nature; the 21st century is destined to be an old people's century. Even the Chinese, Mexicans, Brazilians will be old. Can't the web make some use of them, all that wisdom and talent, outside the market?
  • I've never seen so much panic around me, but panic is the last thing on my mind. My mood is eager impatience. I want to see our best, most creative, best-intentioned people in world society directly attacking our worst problems. I'm bored with the deceit. I'm tired of obscurantism and cover-ups. I'm disgusted with cynical spin and the culture war for profit. I'm up to here with phony baloney market fundamentalism. I despise a prostituted society where we put a dollar sign in front of our eyes so we could run straight into the ditch. The cure for panic is action. Coherent action is great; for a scatterbrained web society, that may be a bit much to ask. Well, any action is better than whining. We can do better.
Ed Webb

Social Media is Killing the LMS Star - A Bootleg of Bryan Alexander's Lost Presentation... - 0 views

  • Note that this isn’t just a technological alternate history. It also describes a different set of social and cultural practices.
  • CMSes lumber along like radio, still playing into the air as they continue to gradually shift ever farther away on the margins. In comparison, Web 2.0 is like movies and tv combined, plus printed books and magazines. That’s where the sheer scale, creative ferment, and wife-ranging influence reside. This is the necessary background for discussing how to integrate learning and the digital world.
  • These virtual classes are like musical practice rooms, small chambers where one may try out the instrument in silent isolation. It is not connectivism but disconnectivism.
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  • CMSes shift from being merely retrograde to being actively regressive if we consider the broader, subtler changes in the digital teaching landscape. Web 2.0 has rapidly grown an enormous amount of content through what Yochai Benkler calls “peer-based commons production.” One effect of this has been to grow a large area for informal learning, which students (and staff) access without our benign interference. Students (and staff) also contribute to this peering world; more on this later. For now, we can observe that as teachers we grapple with this mechanism of change through many means, but the CMS in its silo’d isolation is not a useful tool.
  • those curious about teaching with social media have easy access to a growing, accessible community of experienced staff by means of those very media. A meta-community of Web 2.0 academic practitioners is now too vast to catalogue. Academics in every discipline blog about their work. Wikis record their efforts and thoughts, as do podcasts. The reverse is true of the CMS, the very architecture of which forbids such peer-to-peer information sharing. For example, the Resource Center for Cyberculture Studies (RCCS) has for many years maintained a descriptive listing of courses about digital culture across the disciplines. During the 1990s that number grew with each semester. But after the explosive growth of CMSes that number dwindled. Not the number of classes taught, but the number of classes which could even be described. According to the RCCS’ founder, David Silver (University of San Francisco), this is due to the isolation of class content in CMS containers.
  • unless we consider the CMS environment to be a sort of corporate intranet simulation, the CMS set of community skills is unusual, rarely applicable to post-graduation examples. In other words, while a CMS might help privacy concerns, it is at best a partial, not sufficient solution, and can even be inappropriate for already online students.
  • That experiential, teachable moment of selecting one’s copyright stance is eliminated by the CMS.
  • Another argument in favor of CMSes over Web 2.0 concerns the latter’s open nature. It is too open, goes the thought, constituting a “Wild West” experience of unfettered information flow and unpleasant forms of access. Campuses should run CMSes to create shielded environments, iPhone-style walled gardens that protect the learning process from the Lovecraftian chaos without.
  • social sifting, information literacy, using the wisdom of crowds, and others. Such strategies are widely discussed, easily accessed, and continually revised and honed.
  • at present, radio CMS is the Clear Channel of online learning.
  • For now, the CMS landsape is a multi-institutional dark Web, an invisible, unsearchable, un-mash-up-able archipelago of hidden learning content.
  • Can the practice of using a CMS prepare either teacher or student to think critically about this new shape for information literacy? Moreover, can we use the traditional CMS to share thoughts and practices about this topic?
  • The internet of things refers to a vastly more challenging concept, the association of digital information with the physical world. It covers such diverse instances as RFID chips attached to books or shipping pallets, connecting a product’s scanned UPC code to a Web-based database, assigning unique digital identifiers to physical locations, and the broader enterprise of augmented reality. It includes problems as varied as building search that covers both the World Wide Web and one’s mobile device, revising copyright to include digital content associated with private locations, and trying to salvage what’s left of privacy. How does this connect with our topic? Consider a recent article by Tim O’Reilly and John Battle, where they argue that the internet of things is actually growing knowledge about itself. The combination of people, networks, and objects is building descriptions about objects, largely in folksonomic form. That is, people are tagging the world, and sharing those tags. It’s worth quoting a passage in full: “It’s also possible to give structure to what appears to be unstructured data by teaching an application how to recognize the connection between the two. For example, You R Here, an iPhone app, neatly combines these two approaches. You use your iPhone camera to take a photo of a map that contains details not found on generic mapping applications such as Google maps – say a trailhead map in a park, or another hiking map. Use the phone’s GPS to set your current location on the map. Walk a distance away, and set a second point. Now your iPhone can track your position on that custom map image as easily as it can on Google maps.” (http://www.web2summit.com/web2009/public/schedule/detail/10194) What world is better placed to connect academia productively with such projects, the open social Web or the CMS?
  • imagine the CMS function of every class much like class email, a necessary feature, but not by any means the broadest technological element. Similarly the e-reserves function is of immense practical value. There may be no better way to share copyrighted academic materials with a class, at this point. These logistical functions could well play on.
Ed Webb

It's just not working out the way we thought it would « Lisa's (Online) Teach... - 0 views

  • Gradually, closed spaces (Facebook, Ning, even Google if you understand what they’re up to) have become the norm, as have monetized sites. The spaces that were free are no longer free, although many of us freely contributed our own work to these sites, providing the basis of their popularity in the first place. Crowdsourcing, celebrated in story and song, has become the exploitation of the work of others in order to make money or provide cheap customer service. The use of personal information for marketing purposes is widespread, and creative people are leaving the platforms that brought everyone into the agora in the first place. Scholars at first enthusiastic about the future now see it as a lonely place. And I see conversations where people who care deeply about the web, education for the 21st century, and learning theories are beginning to back away from proselytizing about academic openness.
  • it’s about users becoming the products in the marketplace and the amusements in the panopticon
  • Where before it might have made sense to say we should make sure everyone is web literate, now such literacy extends beyond critical thinking about websites into a deeper understanding of what the using the web means for individual privacy and independence. This time, the enemies of openness and freedom won’t need to argue their philosophical reasons – they’ll argue that they’re protecting people. And the trouble is, they may be right.
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  • We need to be the antidote for blind adoption
Ed Webb

The Internet Intellectual - 0 views

  • Even Thomas Friedman would be aghast at some of Jarvis’s cheesy sound-bites
  • What does that actually mean?
  • In Jarvis’s universe, all the good things are technologically determined and all the bad things are socially determined
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  • Jarvis never broaches such subtleties. His is a simple world:
  • why not consider the possibility that the incumbents may be using the same tools, Jarvis’s revered technologies, to tell us what to think, and far more effectively than before? Internet shelf space may be infinite, but human attention is not. Cheap self-publishing marginally improves one’s chances of being heard, but nothing about this new decentralized public sphere suggests that old power structures—provided they are smart and willing to survive—will not be able to use it to their benefit
  • Jarvis 1.0 was all about celebrating Google, but Jarvis 2.0 has new friends in Facebook and Twitter. (An Internet intellectual always keeps up.) Jarvis 1.0 wrote that “Google’s moral of universal empowerment is the sometimes-forgotten ideal of democracy,” and argued that the company “provides the infrastructure for a culture of choice,” while its “algorithms and its business model work because Google trusts us.” Jarvis 2.0 claims that “by sharing publicly, we people challenge Google’s machines and reclaim our authority on the internet from algorithms.”
  • Jarvis has another reference point, another sacred telos: the equally grand and equally inexorable march of the Internet, which in his view is a technology that generates its own norms, its own laws, its own people. (He likes to speak of “us, people of the Net.”) For the Technology Man, the Internet is the glue that holds our globalized world together and the divine numen that fills it with meaning. If you thought that ethnocentrism was bad, brace yourself for Internet-centrism
  • Why worry about the growing dominance of such digitalism? The reason should be obvious. As Internet-driven explanations crowd out everything else, our entire vocabulary is being re-defined. Collaboration is re-interpreted through the prism of Wikipedia; communication, through the prism of social networking; democratic participation, through the prism of crowd-sourcing; cosmopolitanism, through the prism of reading the blogs of exotic “others”; political upheaval, through the prism of the so-called Twitter revolutions. Even the persecution of dissidents is now seen as an extension of online censorship (rather than the other way around). A recent headline on the blog of the Harvard-based Herdictproject—it tracks Internet censorship worldwide—announces that, in Mexico and Morocco, “Online Censorship Goes Offline.” Were activists and dissidents never harassed before Twitter and Facebook?
  • Most Internet intellectuals simply choose a random point in the distant past—the honor almost invariably goes to the invention of the printing press—and proceed to draw a straight line from Gutenberg to Zuckerberg, as if the Counter-Reformation, the Thirty Years’ War, the Reign of Terror, two world wars—and everything else—never happened.
  • even their iPad is of interest to them only as a “platform”—another buzzword of the incurious—and not as an artifact that is assembled in dubious conditions somewhere in East Asian workshops so as to produce cultic devotion in its more fortunate owners. This lack of elementary intellectual curiosity is the defining feature of the Internet intellectual. History, after all, is about details, but no Internet intellectual wants to be accused of thinking small. And so they think big—sloppily, ignorantly, pretentiously, and without the slightest appreciation of the difference between critical thought and market propaganda.
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    In which Evgeny rips Jeff a new one
Ed Webb

M.I.T. Lets Student Bloggers Post Without Censoring - NYTimes.com - 0 views

  • M.I.T.’s bloggers, who are paid $10 an hour for up to four hours a week, offer thoughts on anything that might interest a prospective student.
  • “High school students read the blogs, and they come in and say ‘I can’t believe Haverford students get to do such interesting things with their summers,’ ” he said. “There’s no better way for students to learn about a college than from other students.”
  • “We saw very quickly that prospective students were engaging with each other and building their own community,”
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  • annual “Meet the Bloggers” session at Campus Preview Weekend.
  • “The annual blogger selection is like the admissions office’s own running of the bulls,”
  • Ms. Kim once wrote about how the resident advising system was making it impossible for her to move out of her housing — expressing enough irritation that the housing office requested that the admissions office take her post down. Officials refused, instead having the housing office post a rebuttal of her accusations; eventually, the system was changed.
Ed Webb

Technology and Restoration of Voice | TechTicker - 0 views

  • A colleague in the faculty is currently researching the opportunities that use of asynchronous discussion forums can offer to leveling the playing field, and providing more equitable opportunities for people to share their thoughts. From what I’ve heard, the results so far are exceptionally promising.
Ed Webb

The Lapland Chronicles » Blog Archive » Against Learning Management Systems -... - 0 views

  • The problem with Learning Management Systems lies in the conjunction of three words that should not appear together. Learning is not something that can be “managed” via a “system.” We’re not producing widgets here — we’re attempting to inspire creative thought and critical intelligence.
Ed Webb

Clear backpacks, monitored emails: life for US students under constant surveillance | E... - 0 views

  • This level of surveillance is “not too over-the-top”, Ingrid said, and she feels her classmates are generally “accepting” of it.
  • One leading student privacy expert estimated that as many as a third of America’s roughly 15,000 school districts may already be using technology that monitors students’ emails and documents for phrases that might flag suicidal thoughts, plans for a school shooting, or a range of other offenses.
  • Some parents said they were alarmed and frightened by schools’ new monitoring technologies. Others said they were conflicted, seeing some benefits to schools watching over what kids are doing online, but uncertain if their schools were striking the right balance with privacy concerns. Many said they were not even sure what kind of surveillance technology their schools might be using, and that the permission slips they had signed when their kids brought home school devices had told them almost nothing
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  • When Dapier talks with other teen librarians about the issue of school surveillance, “we’re very alarmed,” he said. “It sort of trains the next generation that [surveillance] is normal, that it’s not an issue. What is the next generation’s Mark Zuckerberg going to think is normal?
  • “It’s the school as panopticon, and the sweeping searchlight beams into homes, now, and to me, that’s just disastrous to intellectual risk-taking and creativity.”
  • As of 2018, at least 60 American school districts had also spent more than $1m on separate monitoring technology to track what their students were saying on public social media accounts, an amount that spiked sharply in the wake of the 2018 Parkland school shooting, according to the Brennan Center for Justice, a progressive advocacy group that compiled and analyzed school contracts with a subset of surveillance companies.
  • “They are all mandatory, and the accounts have been created before we’ve even been consulted,” he said. Parents are given almost no information about how their children’s data is being used, or the business models of the companies involved. Any time his kids complete school work through a digital platform, they are generating huge amounts of very personal, and potentially very valuable, data. The platforms know what time his kids do their homework, and whether it’s done early or at the last minute. They know what kinds of mistakes his kids make on math problems.
  • Felix, now 12, said he is frustrated that the school “doesn’t really [educate] students on what is OK and what is not OK. They don’t make it clear when they are tracking you, or not, or what platforms they track you on. “They don’t really give you a list of things not to do,” he said. “Once you’re in trouble, they act like you knew.”
  • “They’re so unclear that I’ve just decided to cut off the research completely, to not do any of it.”
  • Many parents also said that they wanted more transparency and more parental control over surveillance. A few years ago, Ben, a tech professional from Maryland, got a call from his son’s principal to set up an urgent meeting. His son, then about nine or 10-years old, had opened up a school Google document and typed “I want to kill myself.” It was not until he and his son were in a serious meeting with school officials that Ben found out what happened: his son had typed the words on purpose, curious about what would happen. “The smile on his face gave away that he was testing boundaries, and not considering harming himself,” Ben said. (He asked that his last name and his son’s school district not be published, to preserve his son’s privacy.) The incident was resolved easily, he said, in part because Ben’s family already had close relationships with the school administrators.
  • there is still no independent evaluation of whether this kind of surveillance technology actually works to reduce violence and suicide.
  • Certain groups of students could easily be targeted by the monitoring more intensely than others, she said. Would Muslim students face additional surveillance? What about black students? Her daughter, who is 11, loves hip-hop music. “Maybe some of that language could be misconstrued, by the wrong ears or the wrong eyes, as potentially violent or threatening,” she said.
  • The Parent Coalition for Student Privacy was founded in 2014, in the wake of parental outrage over the attempt to create a standardized national database that would track hundreds of data points about public school students, from their names and social security numbers to their attendance, academic performance, and disciplinary and behavior records, and share the data with education tech companies. The effort, which had been funded by the Gates Foundation, collapsed in 2014 after fierce opposition from parents and privacy activists.
  • “More and more parents are organizing against the onslaught of ed tech and the loss of privacy that it entails. But at the same time, there’s so much money and power and political influence behind these groups,”
  • some privacy experts – and students – said they are concerned that surveillance at school might actually be undermining students’ wellbeing
  • “I do think the constant screen surveillance has affected our anxiety levels and our levels of depression.” “It’s over-guarding kids,” she said. “You need to let them make mistakes, you know? That’s kind of how we learn.”
Ed Webb

9 Ways Online Teaching Should be Different from Face-to-Face | Cult of Pedagogy - 0 views

  • Resist the temptation to dive right into curriculum at the start of the school year. Things will go more smoothly if you devote the early weeks to building community so students feel connected. Social emotional skills can be woven in during this time. On top of that, students need practice with whatever digital tools you’ll be using. So focus your lessons on those things, intertwining the two when possible. 
  • Online instruction is made up largely of asynchronous instruction, which students can access at any time. This is ideal, because requiring attendance for synchronous instruction puts some students at an immediate disadvantage if they don’t have the same access to technology, reliable internet, or a flexible home schedule. 
  • you’re likely to offer “face-to-face” or synchronous opportunities at some point, and one way to make them happen more easily is to have students meet in small groups. While it’s nearly impossible to arrange for 30 students to attend a meeting at once, assigning four students to meet is much more manageable.
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  • What works best, Kitchen says, is to keep direct instruction—things like brief video lectures and readings—in asynchronous form, using checks for understanding like embedded questions or exit slips.  You can then use synchronous meetings for more interactive, engaging work. “If we want students showing up, if we want them to know that this is worth their time,” Kitchen explains, “it really needs to be something active and engaging for them. Any time they can work with the material, categorize it, organize it, share further thoughts on it, have a discussion, all of those are great things to do in small groups.” 
  • The Jigsaw method, where students form expert groups on a particular chunk of content, then teach that content to other students. Discussion strategies adapted for virtual settingsUsing best practices for cooperative learning Visible Thinking routinesGamestorming and other business related protocols adapted for education, where students take on the role of customers/stakeholders
  • What really holds leverage for the students? What has endurance? What knowledge is essential?What knowledge and skills do students need to have before they move to the next grade level or the next class?What practices can be emphasized that transfer across many content areas?  Skills like analyzing, constructing arguments, building a strong knowledge base through texts, and speaking can all be taught through many different subjects. What tools can serve multiple purposes? Teaching students to use something like Padlet gives them opportunities to use audio, drawing, writing, and video. Non-digital tools can also work: Students can use things they find around the house, like toilet paper rolls, to fulfill other assignments, and then submit their work with a photo.
  • Online instruction is not conducive to covering large amounts of content, so you have to choose wisely, teaching the most important things at a slower pace.
  • Provide instructions in a consistent location and at a consistent time. This advice was already given for parents, but it’s worth repeating here through the lens of instructional design: Set up lessons so that students know where to find instructions every time. Make instructions explicit. Read and re-read to make sure these are as clear as possible. Make dogfooding your lessons a regular practice to root out problem areas.Offer multimodal instructions. If possible, provide both written and video instructions for assignments, so students can choose the format that works best for them. You might also offer a synchronous weekly or daily meeting; what’s great about doing these online is that even if you teach several sections of the same class per day, students are no longer restricted to class times and can attend whatever meeting works best for them.
  • put the emphasis on formative feedback as students work through assignments and tasks, rather than simply grading them at the end. 
  • In online learning, Kitchen says, “There are so many ways that students can cheat, so if we’re giving them just the traditional quiz or test, it’s really easy for them to be able to just look up that information.” A great solution to this problem is to have students create things.
  • For assessment, use a detailed rubric that highlights the learning goals the end product will demonstrate. A single-point rubric works well for this.To help students discover tools to work with, this list of tools is organized by the type of product each one creates. Another great source of ideas is the Teacher’s Guide to Tech.When developing the assignment, rather than focusing on the end product, start by getting clear on what you want students to DO with that product.
  • Clear and consistent communicationCreating explicit and consistent rituals and routinesUsing research-based instructional strategiesDetermining whether to use digital or non-digital tools for an assignment A focus on authentic learning, where authentic products are created and students have voice and choice in assignments
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

Google and Meta moved cautiously on AI. Then came OpenAI's ChatGPT. - The Washington Post - 0 views

  • The surge of attention around ChatGPT is prompting pressure inside tech giants including Meta and Google to move faster, potentially sweeping safety concerns aside
  • 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.”
  • 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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  • Silicon Valley’s sudden willingness to consider taking more reputational risk arrives as tech stocks are tumbling
  • A chatbot that pointed to one answer directly from Google could increase its liability if the response was found to be harmful or plagiarized.
  • AI has been through several hype cycles over the past decade, but the furor over DALL-E and ChatGPT has reached new heights.
  • Soon after OpenAI released ChatGPT, tech influencers on Twitter began to predict that generative AI would spell the demise of Google search. ChatGPT delivered simple answers in an accessible way and didn’t ask users to rifle through blue links. Besides, after a quarter of a century, Google’s search interface had grown bloated with ads and marketers trying to game the system.
  • Inside big tech companies, the system of checks and balances for vetting the ethical implications of cutting-edge AI isn’t as established as privacy or data security. Typically teams of AI researchers and engineers publish papers on their findings, incorporate their technology into the company’s existing infrastructure or develop new products, a process that can sometimes clash with other teams working on responsible AI over pressure to see innovation reach the public sooner.
  • Chatbots like OpenAI routinely make factual errors and often switch their answers depending on how a question is asked
  • To Timnit Gebru, executive director of the nonprofit Distributed AI Research Institute, the prospect of Google sidelining its responsible AI team doesn’t necessarily signal a shift in power or safety concerns, because those warning of the potential harms were never empowered to begin with. “If we were lucky, we’d get invited to a meeting,” said Gebru, who helped lead Google’s Ethical AI team until she was fired for a paper criticizing large language models.
  • Rumman Chowdhury, who led Twitter’s machine-learning ethics team until Elon Musk disbanded it in November, said she expects companies like Google to increasingly sideline internal critics and ethicists as they scramble to catch up with OpenAI.“We thought it was going to be China pushing the U.S., but looks like it’s start-ups,” she said.
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.
  • 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.
  • 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?
  • 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.
  • 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 a Blurry JPEG of the Web | The New Yorker - 0 views

  • Think of ChatGPT as a blurry JPEG of all the text on the Web. It retains much of the information on the Web, in the same way that a JPEG retains much of the information of a higher-resolution image, but, if you’re looking for an exact sequence of bits, you won’t find it; all you will ever get is an approximation. But, because the approximation is presented in the form of grammatical text, which ChatGPT excels at creating, it’s usually acceptable. You’re still looking at a blurry JPEG, but the blurriness occurs in a way that doesn’t make the picture as a whole look less sharp.
  • a way to understand the “hallucinations,” or nonsensical answers to factual questions, to which large-language models such as ChatGPT are all too prone. These hallucinations are compression artifacts, but—like the incorrect labels generated by the Xerox photocopier—they are plausible enough that identifying them requires comparing them against the originals, which in this case means either the Web or our own knowledge of the world. When we think about them this way, such hallucinations are anything but surprising; if a compression algorithm is designed to reconstruct text after ninety-nine per cent of the original has been discarded, we should expect that significant portions of what it generates will be entirely fabricated.
  • ChatGPT is so good at this form of interpolation that people find it entertaining: they’ve discovered a “blur” tool for paragraphs instead of photos, and are having a blast playing with it.
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  • large-language models like ChatGPT are often extolled as the cutting edge of artificial intelligence, it may sound dismissive—or at least deflating—to describe them as lossy text-compression algorithms. I do think that this perspective offers a useful corrective to the tendency to anthropomorphize large-language models
  • Even though large-language models often hallucinate, when they’re lucid they sound like they actually understand subjects like economic theory
  • The fact that ChatGPT rephrases material from the Web instead of quoting it word for word makes it seem like a student expressing ideas in her own words, rather than simply regurgitating what she’s read; it creates the illusion that ChatGPT understands the material. In human students, rote memorization isn’t an indicator of genuine learning, so ChatGPT’s inability to produce exact quotes from Web pages is precisely what makes us think that it has learned something. When we’re dealing with sequences of words, lossy compression looks smarter than lossless compression.
  • starting with a blurry copy of unoriginal work isn’t a good way to create original work
  • If and when we start seeing models producing output that’s as good as their input, then the analogy of lossy compression will no longer be applicable.
  • Even if it is possible to restrict large-language models from engaging in fabrication, should we use them to generate Web content? This would make sense only if our goal is to repackage information that’s already available on the Web. Some companies exist to do just that—we usually call them content mills. Perhaps the blurriness of large-language models will be useful to them, as a way of avoiding copyright infringement. Generally speaking, though, I’d say that anything that’s good for content mills is not good for people searching for information.
  • Having students write essays isn’t merely a way to test their grasp of the material; it gives them experience in articulating their thoughts. If students never have to write essays that we have all read before, they will never gain the skills needed to write something that we have never read.
  • Sometimes it’s only in the process of writing that you discover your original ideas. Some might say that the output of large-language models doesn’t look all that different from a human writer’s first draft, but, again, I think this is a superficial resemblance. Your first draft isn’t an unoriginal idea expressed clearly; it’s an original idea expressed poorly, and it is accompanied by your amorphous dissatisfaction, your awareness of the distance between what it says and what you want it to say. That’s what directs you during rewriting, and that’s one of the things lacking when you start with text generated by an A.I.
  • What use is there in having something that rephrases the Web?
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