Group items tagged

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

direct socia

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

the noise is worse than ever. Indeed, it is being magnified every day as more people pile onto Twitter and Facebook and new apps yet to crest like Google Wave. The data stream is growing stronger, but so too is the danger of drowning in all that information.

the fact that Seesmic or TweetDeck or any of these apps can display 1,200 Tweets at once is not a feature, it’s a bug

if you think Twitter is noisy, wait until you see Google Wave, which doesn’t hide anything at all.  Imagine that Twhirl image below with a million dialog boxes on your screen, except you see as other people type in their messages and add new files and images to the conversation, all at once as it is happening.  It’s enough to make your brain explode.

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. 

Now we’re getting into the online pivot more substantially, higher education institutions are coming to terms it may not be a short-term emergency shift. It looks like the first semester of the 2020-21 year may be online, and if Covid-19 flares up again, who knows how long it may continue. While you could get away with “sticking classes on Zoom” for the immediate emergency, that won’t cut it in the medium term.

I’m sorry to tell you – there is no Go Online button

The good news is that it is entirely possible to create good, online courses in just about any subject, and students will do well in them and their performance and long term understanding of the topics will be as good, if not better, than those taught face to face. So that’s the good news, higher education isn’t going to die.

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.

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

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.