Group items tagged

a trend toward the integration of service learning into study abroad and global studies more generally at the liberal arts colleges I work with

an element to the study abroad experience that goes beyond cultural immersion. Students grapple with important and timely issues

I am currently working with Andy Wallis from Whittier College and Chris Boyland from Bryn Mawr College on planning a virtual program for later the Fall semester, and the integration of service learning with international education was one of the issues that most resonated on the survey we are conducting to help us develop a program responsive to the needs and interests of folks at NITLE’s participating colleges.

The Man Who Lied to His Laptop condenses for a popular audience an argument that Nass has been making for at least 15 years: humans do not differentiate between computers and people in their social interactions.

At first blush, this sounds absurd. Everyone knows that it's "just a computer," and of course computers don't have feelings. And yet. Nass has a slew of amusing stories—and, crucially, studies based on those stories—indicating that, no matter what "everyone knows," people act as if the computer secretly cares. For example: In one study, users reviewed a software package, either on the same computer they'd used it on, or on a different computer. Consistently, participants gave the software better ratings when they reviewed in on the same computer—as if they didn't want the computer to feel bad. What's more, Nass notes, "every one of the participants insisted that she or he would never bother being polite to a computer" (7).

Nass found that users given completely random praise by a computer program liked it more than the same program without praise, even though they knew in advance the praise was meaningless. In fact, they liked it as much as the same program, if they were told the praise was accurate. (In other words, flattery was as well received as praise, and both were preferred to no positive comments.) Again, when questioned about the results, users angrily denied any difference at all in their reactions.

Can you give me examples of programs that are rooted in, speaking to, and resonant with conservative and religious communities in this country? In particular, I’d love to know about programs that work in conservative white Evangelical and religious black and LatinX communities? I’d love to hear how educators integrate progressive social justice values into conservative cultural logics. Context: To the best that I can tell, every program I’ve seen is rooted in progressive (predominantly white) ways of thinking. I know that communities who define “fake news” as CNN (as well as black communities who see mainstream media as rooted in the history of slavery and white supremacy) have little patience for the logics of progressive white educators. So what does media literacy look like when it starts with religious and/or conservative frameworks? What examples exist?

Can you tell me how you teach across gaslighting? How do you stabilize students’ trust in Information, particularly among those whose families are wary of institutions and Information intermediaries?Context: Foreign adversaries (and some domestic groups) are primarily focused on destabilizing people’s trust in information intermediaries. They want people to doubt everything and turn their backs on institutions. We are seeing the impact of this agenda. I’m not finding that teaching someone the source of a piece of content helps build up trust. Instead, it seems to further undermine it. So how do you approach media literacy to build up confidence in institutions and information intermediaries?

For what it’s worth, when I try to untangle the threads to actually address the so-called “fake news” problem, I always end in two places: 1) dismantle financialized capitalism (which is also the root cause of some of the most challenging dynamics of tech companies); 2) reknit the social fabric of society by strategically connecting people. But neither of those are recommendations for educators.

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

One of the most interesting changes that I saw in terms of online learning was the use of WhatsApp, a text and voice messaging app that is very popular in South Africa. Through the app’s group chat feature, instructors can moderate the discussion and students can leave voice notes, which gives them the ability to have their voices heard asynchronously

I’ve imagined a north–south dialogue. Now, due to COVID-19, it’s happening organically, and I’m in the process of reimagining the course I would have been teaching in Vancouver this summer as an online course. I need to factor in which apps to use, how to prepare for students who only have cellphones, and the reality that many students come from other countries to study at Emily Carr, and now they’ll be learning remotely. It’s fascinating that the forced global aspect of the classroom will influence the way I design the educational technology for my program

In the past, some educators might have been excited to tear everything apart and build it back up with a goal of helping students learn in a better way, but the institutions wouldn’t be able to support it. Not because they didn’t want to, but because it was difficult for them to do it. Now there’s an opportunity for institutions to let the reins go and encourage creative and new approaches. It’s scary, but it’s also inspiring for educators to have that freedom. The research is available, the interest is there, and the resources are open, so now is the time to make it happen

Most of the criticisms center around the Kindle's weak annotation features, which make things like highlighting and margin notes almost impossible to use, but even a simple thing like the lack of true page numbers has caused problems, since allowing students to cite the Kindle's location numbers in their papers is "meaningless for anyone working from analog books."

"Media literacy has long focused on personal responsibility, which can not only imbue individuals with a false sense of confidence in their skills, but also put the onus of monitoring media effects on the audience, rather than media creators, social media platforms, or regulators,"

the need to better understand the modern media environment, which is heavily driven by algorithm-based personalization on social-media platforms, and the need to be more systematic about evaluating the impact of various media-literacy strategies and interventions

In response, bills to promote media literacy in schools have been introduced or passed in more than a dozen states. A range of nonprofit, corporate, and media organizations have stepped up efforts to promote related curricula and programs. Such efforts should be applauded—but not viewed as a "panacea," the Data & Society researchers argue.

We can say "Black lives matter," but we must also demonstrate through our actions that Black lives matter, and that means we must radically alter many of our institutions and practices, recognizing their inhumanity and carcerality. And that includes, no doubt, ed-tech. How much of ed-tech is, to use Ruha Benjamin's phrase, "the new Jim Code"? How much of ed-tech is designed by those who imagine students as cheats or criminals, as deficient or negligent?

"Reimagining" is a verb that education reformers are quite fond of. And "reimagining" seems too often to mean simply defunding, privatizing, union-busting, dismantling, outsourcing.

if Betsy DeVos is out there "reimagining," then we best be resisting

How and why do well-educated, well-intentioned scientists produce biased AI systems? Sociological theories of privilege provide one useful lens.

Scientists also face a nasty subconscious dilemma when incorporating diversity into machine learning models: Diverse, inclusive models perform worse than narrow models.

fairness can still be the victim of competitive pressures in academia and industry. The flawed Bard and Bing chatbots from Google and Microsoft are recent evidence of this grim reality. The commercial necessity of building market share led to the premature release of these systems.