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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

Reflections on open courses « Connectivism - 0 views

  • There is value of blending traditional with emergent knowledge spaces (online conferences and traditional journals) - Learners will create and innovate if they can express ideas and concepts in their own spaces and through their own expertise (i.e. hosting events in Second Life) - Courses are platforms for innovation. Too rigid a structure puts the educator in full control. Using a course as a platform fosters creativity…and creativity generates a bit of chaos and can be unsettling to individuals who prefer a structure with which they are familiar. - (cliche) Letting go of control is a bit stressful, but surprisingly rewarding in the new doors it opens and liberating in how it brings others in to assist in running a course and advancing the discussion. - People want to participate…but they will only do so once they have “permission” and a forum in which to utilize existing communication/technological skills.
  • The internet is a barrier-reducing system. In theory, everyone has a voice online (the reality of technology ownership, digital skills, and internet access add an unpleasant dimension). Costs of duplication are reduced. Technology (technique) is primarily a duplicationary process, as evidenced by the printing press, assembly line, and now the content duplication ability of digital technologies. As a result, MOOCs embody, rather than reflect, practices within the digital economy. MOOCs reduce barriers to information access and to the dialogue that permits individuals (and society) to grow knowledge. Much of the technical innovation in the last several centuries has permitted humanity to extend itself physically (cars, planes, trains, telescopes). The internet, especially in recent developments of connective and collaborative applications, is a cognitive extension for humanity. Put another way, the internet offers a model where the reproduction of knowledge is not confined to the production of physical objects.
  • Knowledge is a mashup. Many people contribute. Many different forums are used. Multiple media permit varied and nuanced expressions of knowledge. And, because the information base (which is required for knowledge formation) changes so rapidly, being properly connected to the right people and information is vitally important. The need for proper connectedness to the right people and information is readily evident in intelligence communities. Consider the Christmas day bomber. Or 9/11. The information was being collected. But not connected.
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  • The open model of participation calls into question where value is created in the education system. Gutenberg created a means to duplicate content. The social web creates the opportunity for many-to-many interactions and to add a global social layer on content creation and knowledge growth.
  • Whatever can be easily duplicated cannot serve as the foundation for economic value. Integration and connectedness are economic value points.
  • In education, content can easily be produced (it’s important but has limited economic value). Lectures also have limited value (easy to record and to duplicate). Teaching – as done in most universities – can be duplicated. Learning, on the other hand, can’t be duplicated. Learning is personal, it has to occur one learner at a time. The support needed for learners to learn is a critical value point.
  • Learning, however, requires a human, social element: both peer-based and through interaction with subject area experts
  • Content is readily duplicated, reducing its value economically. It is still critical for learning – all fields have core elements that learners must master before they can advance (research in expertise supports this notion). - Teaching can be duplicated (lectures can be recorded, Elluminate or similar webconferencing system can bring people from around the world into a class). Assisting learners in the learning process, correcting misconceptions (see Private Universe), and providing social support and brokering introductions to other people and ideas in the discipline is critical. - Accreditation is a value statement – it is required when people don’t know each other. Content was the first area of focus in open education. Teaching (i.e. MOOCs) are the second. Accreditation will be next, but, before progress can be made, profile, identity, and peer-rating systems will need to improve dramatically. The underlying trust mechanism on which accreditation is based cannot yet be duplicated in open spaces (at least, it can’t be duplicated to such a degree that people who do not know each other will trust the mediating agent of open accreditation)
  • The skills that are privileged and rewarded in a MOOC are similar to those that are needed to be effective in communicating with others and interacting with information online (specifically, social media and information sources like journals, databases, videos, lectures, etc.). Creative skills are the most critical. Facilitators and learners need something to “point to”. When a participant creates an insightful blog post, a video, a concept map, or other resource/artifact it generally gets attention.
  • Intentional diversity – not necessarily a digital skill, but the ability to self-evaluate ones network and ensure diversity of ideologies is critical when information is fragmented and is at risk of being sorted by single perspectives/ideologies.
  • The volume of information is very disorienting in a MOOC. For example, in CCK08, the initial flow of postings in Moodle, three weekly live sessions, Daily newsletter, and weekly readings and assignments proved to be overwhelming for many participants. Stephen and I somewhat intentionally structured the course for this disorienting experience. Deciding who to follow, which course concepts are important, and how to form sub-networks and sub-systems to assist in sensemaking are required to respond to information abundance. The process of coping and wayfinding (ontology) is as much a lesson in the learning process as mastering the content (epistemology). Learners often find it difficult to let go of the urge to master all content, read all the comments and blog posts.
  • e. Learning is a social trust-based process.
  • Patience, tolerance, suspension of judgment, and openness to other cultures and ideas are required to form social connections and negotiating misunderstandings.
  • An effective digital citizenry needs the skills to participate in important conversations. The growth of digital content and social networks raises the need citizens to have the technical and conceptual skills to express their ideas and engage with others in those spaces. MOOCs are a first generation testing grounds for knowledge growth in a distributed, global, digital world. Their role in developing a digital citizenry is still unclear, but democratic societies require a populace with the skills to participate in growing a society’s knowledge. As such, MOOCs, or similar open transparent learning experiences that foster the development of citizens confidence engage and create collaboratively, are important for the future of society.
Ed Webb

Wired Campus: Whitman Takes Manhattan - Chronicle.com - 0 views

  • Next fall, some modern New Yorkers — students at City Tech, CUNY’s New York City College of Technology — will explore the Fulton Ferry Landing that Whitman described in the poem and record their investigations on a Web site. Meanwhile, thanks to open-source software, students at three other institutions — New York University, Rutgers University at Camden, and the University of Mary Washington, in Virginia — will be recording their own literary and geographical explorations of Whitman’s work on that same Web site. The project, “Looking for Whitman: The Poetry of Place in the Life and Work of Walt Whitman,” is the brainchild of a group of professors at all four schools led by Matthew K. Gold, an assistant professor of English at City Tech. It received a start-up grant of $25,000 from the National Endowment for the Humanities’ Office of Digital Humanities. James Groom, an instructional-technology specialist at the University of Mary Washington, is the site’s architect.
  • Mr. Gold believes that Whitman would appreciate the openness of the endeavor. The poet was nothing if not open source:
Ed Webb

About That Webcam Obsession You're Having… | Reflecting Allowed - 0 views

  • About that obsession you’ve got with students turning on their cameras during class. I understand why you’ve got it. I’d like to help you deal with it. I say “deal with it” because many students complain to me that they don’t like being forced to turn their cameras on
  • it’s probably essential to our wellbeing to see human faces. As a teacher and presenter and facilitator, seeing facial expressions and reactions of audience/participants makes a huge difference. I get it. I get that you need to know someone is listening, and see those reactions. I get it. I recently gave a keynote and asked a few friends to be on webinar panel so I could see their smiling faces. However, when I am in a position of power like in the class, I never ask students to turn on their cameras. And my students were *almost always all engaged* last semester in our Zoom calls.
  • You can’t make eye contact online
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  • Reasons why people want to keep their cameras off include: Discomfort or shyness with showing their faces online. This is real, people. For most people, it gets better with time, but not always and not in every context.Noisy or busy home environments e.g. spouse or kids or siblings moving about. I have occasionally had to mute and turn camera off in the middle of a webinar I am personally giving for those reasons! Women and girls can be especially vulnerable to kids and spouses not respecting their work/learning timeNot being dressed for company (for me personally, I often don’t want to cover my hair for a meeting where I’m not presenting, I want to lounge around in comfy clothes). Or your home not being tidy enough for company. This is a thing.Slow/unstable internet connection. Turning off webcam can be the easiest way to get better quality audioDiscomfort over recording
  • Ask questions and ask everyone to respond in the chat. You will know if they are focused and engaged by their responses and every single person can participateAsk questions for them to answer orally. Either call on people round robin, or call out some people from the chat (also keeping in mind some people are voice shy, and some people have noisy home environments)If you can divide students into smaller groups go talk to each other and you can move between them like a butterfly, this can help some people engage/talk more and occasionally even turn their cameras onUse things like Annotation or Google docs to have folks contributeAsk students to have a profile picture up when their camera is off. This helps sometimes.You might learn to distinguish student voices as you would close friends on the phone (remember life pre-caller ID where close friends and family would expect that?) and use them as proxies for how they are feeling. You already have this skill, but are not expecting to use it.If you record, consider having an unrecorded portion. You will be surprised how much some people participate or are willing to turn cameras on in the unrecorded portion.
  • it seems we need to consider ways of allowing people to “be there” in alternative ways that they are comfortable with and that tell us they are really listening to us and responding in more explicit ways
Ed Webb

Dark Social: We Have the Whole History of the Web Wrong - Alexis C. Madrigal - The Atla... - 0 views

  • this vast trove of social traffic is essentially invisible to most analytics programs. I call it DARK SOCIAL. It shows up variously in programs as "direct" or "typed/bookmarked" traffic, which implies to many site owners that you actually have a bookmark or typed in www.theatlantic.com into your browser. But that's not actually what's happening a lot of the time. Most of the time, someone Gchatted someone a link, or it came in on a big email distribution list, or your dad sent it to you
  • the idea that "social networks" and "social media" sites created a social web is pervasive. Everyone behaves as if the traffic your stories receive from the social networks (Facebook, Reddit, Twitter, StumbleUpon) is the same as all of your social traffic
  • if you think optimizing your Facebook page and Tweets is "optimizing for social," you're only halfway (or maybe 30 percent) correct. The only real way to optimize for social spread is in the nature of the content itself. There's no way to game email or people's instant messages. There's no power users you can contact. There's no algorithms to understand. This is pure social, uncut
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  • Almost 69 percent of social referrals were dark! Facebook came in second at 20 percent. Twitter was down at 6 percent
  • direct socia
  • the social sites that arrived in the 2000s did not create the social web, but they did structure it. This is really, really significant. In large part, they made sharing on the Internet an act of publishing (!), with all the attendant changes that come with that switch. Publishing social interactions makes them more visible, searchable, and adds a lot of metadata to your simple link or photo post. There are some great things about this, but social networks also give a novel, permanent identity to your online persona. Your taste can be monetized, by you or (much more likely) the service itself
  • the tradeoffs we make on social networks is not the one that we're told we're making. We're not giving our personal data in exchange for the ability to share links with friends. Massive numbers of people -- a larger set than exists on any social network -- already do that outside the social networks. Rather, we're exchanging our personal data in exchange for the ability to publish and archive a record of our sharing. That may be a transaction you want to make, but it might not be the one you've been told you made. 
  • "Only about four percent of total traffic is on mobile at all, so, at least as a percentage of total referrals, app referrals must be a tiny percentage,"
  • only 0.3 percent of total traffic has the Facebook mobile site as a referrer and less than 0.1 percent has the Facebook mobile app
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    Heh. Social is really social, not 'social' - who knew?
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

Forvo: the pronunciation guide. All the words in the world pronounced by native speakers - 0 views

  • Forvo is the largest pronunciation guide in the world. Ever wondered how a word is pronounced? Ask for that word or name, and another user will pronounce it for you. You can also help others recording your pronunciations in your own language.
Ed Webb

Videoconferencing Alternatives: How Low-Bandwidth Teaching Will Save Us All | IDDblog: ... - 0 views

  • The Green Zone: Underappreciated Workhorses Starting with the green zone in the lower left, we have readings with text and images. These types of assignments may not seem exciting, but sharing readings with students in a consistent and organized way provides your online course with a very practical, solid foundation. Email and discussion boards also belong in this quadrant.  Online instructors have been using these three tools—file sharing (for readings and such), email, and discussion boards—for decades. And while that might make them sound boring, you can create some fantastic instructional experiences with just these three tools. 
  • The Blue Zone: Practical Immediacy Moving over to the lower right, we have low-bandwidth tools that can add immediacy to student interactions. If you’ve used Microsoft Office 365 or Google Drive, you’re probably already familiar with some of the features and benefits of collaborative document editors. These tools allow multiple people to edit and comment on the same document, spreadsheet, or presentation slides. Depending on how you structure your assignments, students could collaborate over an extended period of time, or they could go online at the exact same time and write and edit each other’s work simultaneously.  When it comes to group chat/messaging, there are lots of free apps that can be useful in an educational setting. Slack and GroupMe are two popular examples. These mobile-friendly apps allow students to post text-based messages and images without requiring anyone in the group (including you!) to share their phone numbers. These tools allow students to communicate quickly and easily without scheduling an entire day around a formal video conference.
  • Screencasting adds a human element to online courses because your voice creates a sense of presence that plain text can’t. 
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  • Students are more likely to watch a series of shorter videos than a single, longer video, which is why I recommend instructors try to divide long screencasts into five-to-ten minute segments (whenever possible)
  • asynchronous discussion with audio and video. If you’re not familiar with this concept, I’m referring to discussion tools that allow students to respond with audio and video instead of just text. One tool that’s been a leader for a long time in this multimedia discussion space is VoiceThread. While VoiceThread’s defining feature is its user-friendly approach to audio-based commenting, it can also be used to create narrated presentations with PowerPoints slides, images, and video. If you find yourself overwhelmed by the interface of a traditional screencasting tool, VoiceThread is worth exploring as a simpler way of recording online lectures and fostering discussions that go beyond plain text
  • tools that require both high bandwidth and high immediacy, and the best examples of this are videoconferencing tools like Zoom or Skype.  Videoconferencing is a great way to engage with students when they truly need to see and hear each other in real time. It can also be useful for online office hours, since it’s easier to feel connected and avoid misunderstandings when you have the benefit of tone of voice, facial expressions, and body language.  Unfortunately, videoconferencing is one of the most inflexible and bandwidth-intensive activities we can ask our students to do. Before you rely on it too heavily, look at the other quadrants and ask yourself if there’s any other way to accomplish your learning objectives without it. 
  • None of this is to say that videoconferencing is inherently bad or that it has no place in an online course. It’s simply a reminder that seemingly small (and sometimes unconscious) choices about the technologies we use can have a big impact on how inclusive and effective our teaching is.
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.”
  • “They’re so unclear that I’ve just decided to cut off the research completely, to not do any of it.”
  • “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.”
  • 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.
  • 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

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

The Myth Of AI | Edge.org - 0 views

  • The distinction between a corporation and an algorithm is fading. Does that make an algorithm a person? Here we have this interesting confluence between two totally different worlds. We have the world of money and politics and the so-called conservative Supreme Court, with this other world of what we can call artificial intelligence, which is a movement within the technical culture to find an equivalence between computers and people. In both cases, there's an intellectual tradition that goes back many decades. Previously they'd been separated; they'd been worlds apart. Now, suddenly they've been intertwined.
  • Since our economy has shifted to what I call a surveillance economy, but let's say an economy where algorithms guide people a lot, we have this very odd situation where you have these algorithms that rely on big data in order to figure out who you should date, who you should sleep with, what music you should listen to, what books you should read, and on and on and on. And people often accept that because there's no empirical alternative to compare it to, there's no baseline. It's bad personal science. It's bad self-understanding.
  • there's no way to tell where the border is between measurement and manipulation in these systems
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  • It's not so much a rise of evil as a rise of nonsense. It's a mass incompetence, as opposed to Skynet from the Terminator movies. That's what this type of AI turns into.
  • What's happened here is that translators haven't been made obsolete. What's happened instead is that the structure through which we receive the efforts of real people in order to make translations happen has been optimized, but those people are still needed.
  • In order to create this illusion of a freestanding autonomous artificial intelligent creature, we have to ignore the contributions from all the people whose data we're grabbing in order to make it work. That has a negative economic consequence.
  • If you talk to translators, they're facing a predicament, which is very similar to some of the other early victim populations, due to the particular way we digitize things. It's similar to what's happened with recording musicians, or investigative journalists—which is the one that bothers me the most—or photographers. What they're seeing is a severe decline in how much they're paid, what opportunities they have, their long-term prospects.
  • because of the mythology about AI, the services are presented as though they are these mystical, magical personas. IBM makes a dramatic case that they've created this entity that they call different things at different times—Deep Blue and so forth. The consumer tech companies, we tend to put a face in front of them, like a Cortana or a Siri
  • If you talk about AI as a set of techniques, as a field of study in mathematics or engineering, it brings benefits. If we talk about AI as a mythology of creating a post-human species, it creates a series of problems that I've just gone over, which include acceptance of bad user interfaces, where you can't tell if you're being manipulated or not, and everything is ambiguous. It creates incompetence, because you don't know whether recommendations are coming from anything real or just self-fulfilling prophecies from a manipulative system that spun off on its own, and economic negativity, because you're gradually pulling formal economic benefits away from the people who supply the data that makes the scheme work.
  • This idea that some lab somewhere is making these autonomous algorithms that can take over the world is a way of avoiding the profoundly uncomfortable political problem, which is that if there's some actuator that can do harm, we have to figure out some way that people don't do harm with it. There are about to be a whole bunch of those. And that'll involve some kind of new societal structure that isn't perfect anarchy. Nobody in the tech world wants to face that, so we lose ourselves in these fantasies of AI. But if you could somehow prevent AI from ever happening, it would have nothing to do with the actual problem that we fear, and that's the sad thing, the difficult thing we have to face.
  • To reject your own ignorance just casts you into a silly state where you're a lesser scientist. I don't see that so much in the neuroscience field, but it comes from the computer world so much, and the computer world is so influential because it has so much money and influence that it does start to bleed over into all kinds of other things.
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

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.
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