Searching for "social media"
https://www.rollingstone.com/culture/culture-news/tiktok-students-teachers-strike-clark-county-nevada-877682/
Although the TikTok was intended exclusively for students in the Clark County School District, it ended up going viral, in large part because it was shared on Twitter by social media producer and podcaster Klaudia Amenabar. As of publication, it has racked up more than 36,000 likes and 780 comments, and has prompted other CCSD students on TikTok to join Sullivan’s call to strike.
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more on Tik Tok in this IMS blog
https://blog.stcloudstate.edu/ims?s=tik+tok
https://www.edsurge.com/news/2018-10-18-what-the-samr-model-may-be-missing
Developed by Dr. Ruben Puentedura, the SAMR Model aims to guide teachers in integrating technology into their classrooms. It consists of four steps: Substitution (S), Augmentation (A), Modification (M), and Redefinition (R).
The problem with many personalized learning tools is that they live mostly in realm of Substitution or Augmentation tasks.
It’s in moments like these that we see the SAMR model, while laying an excellent foundation, isn’t enough. When considering which technologies to incorporate into my teaching, I like to consider four key questions, each of which build upon strong foundation that SAMR provides.
1. Does the technology help to minimize complexity?
2. Does the technology help to maximize the individual power and potential of all learners in the room?
use Popplet and iCardSort regularly in my classroom—flexible tools that allow my students to demonstrate their thinking through concept mapping and sorting words and ideas.
3. Will the technology help us to do something previously unimaginable?
4. Will the technology preserve or enhance human connection in the classroom?
Social media is a modern-day breakthrough in human connection and communication. While there are clear consequences to social media culture, there are clear upsides as well. Seesaw, a platform for student-driven digital portfolios, is an excellent example of a tool that enhances human connection.
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more on SAMR and TRACK models in this IMS blog
https://blog.stcloudstate.edu/ims/2018/05/17/transform-education-digital-tools/
more on personalized learning in this IMS blog
https://blog.stcloudstate.edu/ims?s=personalized+learning
NLP – natural language processing; ACL – Association for Computational Linguistics (ACL 2019)
Major trends in NLP: a review of 20 years of ACL research
Janna Lipenkova, July 23, 2019
https://www.linkedin.com/pulse/major-trends-nlp-review-20-years-acl-research-janna-lipenkova
The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019)
Data: working around the bottlenecks
large data is inherently noisy. \In general, the more “democratic” the production channel, the dirtier the data – which means that more effort has to be spent on its cleaning. For example, data from social media will require a longer cleaning pipeline. Among others, you will need to deal with extravagancies of self-expression like smileys and irregular punctuation, which are normally absent in more formal settings such as scientific papers or legal contracts.
The other major challenge is the labeled data bottleneck
crowd-sourcing and Training Data as a Service (TDaaS). On the other hand, a range of automatic workarounds for the creation of annotated datasets have also been suggested in the machine learning community.
Algorithms: a chain of disruptions in Deep Learning
Neural Networks are the workhorse of Deep Learning (cf. Goldberg and Hirst (2017) for an introduction of the basic architectures in the NLP context). Convolutional Neural Networks have seen an increase in the past years, whereas the popularity of the traditional Recurrent Neural Network (RNN) is dropping. This is due, on the one hand, to the availability of more efficient RNN-based architectures such as LSTM and GRU. On the other hand, a new and pretty disruptive mechanism for sequential processing – attention – has been introduced in the sequence-to-sequence (seq2seq) model by Sutskever et al. (2014).
Consolidating various NLP tasks
the three “global” NLP development curves – syntax, semantics and context awareness
the third curve – the awareness of a larger context – has already become one of the main drivers behind new Deep Learning algorithms.
A note on multilingual research
Think of different languages as different lenses through which we view the same world – they share many properties, a fact that is fully accommodated by modern learning algorithms with their increasing power for abstraction and generalization.
Spurred by the global AI hype, the NLP field is exploding with new approaches and disruptive improvements. There is a shift towards modeling meaning and context dependence, probably the most universal and challenging fact of human language. The generalisation power of modern algorithms allows for efficient scaling across different tasks, languages and datasets, thus significantly speeding up the ROI cycle of NLP developments and allowing for a flexible and efficient integration of NLP into individual business scenarios.
A new bill before the Senate aims to ban social media and tech platforms from implementing “addictive” designs and features — including autoplaying videos or endless scrolling. Tap the link in our bio to read more.
#technology #tech #socialmedia#social #media #USSenate#JoshHawlet #SiliconValley #addictive#design #webdesign #innovation#business #science #instatech#quoteoftheday #quotes #future#futurism
Ellis, D. A. (2019). Are smartphones really that bad? Improving the psychological measurement of technology related behaviors. Computers in Human Behavior, 97
, 60-66
Conclusions sur- rounding use have therefore been
largely negative and smartphones have repeatedly
been associated with depression (Elhai, Dvorak,
Levine, & Hall, 2017), anxiety (Richardson,
Hussain, & Griffiths, 2018), disrupted sleep
(Rosen, Carrier, Miller, Rokkum, & Ruiz, 2016),
cognitive
impairment (Clayton,
Leshner,&
Almond, 2015), and poor academic performance
(Lepp, Barkley, & Karpinski, 2015). This repeats a
pattern of research priorities, which previously
focused on the ne- gative impacts of many other
screen-based technologies, systematically moving
from television and video games, to the internet
and social media (Rosen et al., 2014).
There is also little
evidence to support the existence of the constructs
under investigation (e.g., technology ‘addiction’),
yet many papers and scales continue to use
language associated with a specific diagnosis (see
Panova & Carbonell, 2018 for a recent review).
When it comes to understanding the impact of
technology more generally, there is an intrinsic
lack of high-quality evidence (Ellis et al., 2018a).
Revised psychometric tests may hold some value
in the future, provided they are grounded in
relevant theory and validated accordingly.
At Your Wits’ End With A Screen-Obsessed Kid? Read This
Anya Kamenetz and Chloee Weiner Jun 30
https://www.kqed.org/mindshift/53910/at-your-wits-end-with-a-screen-obsessed-kid-read-this
The relationship between teens, screens and mental health is complex and multidirectional
Abby’s mom has sent her articles about research linking teen depression and suicide to screen use. A 2017 article in The Atlantic magazine — “Have Smartphones Destroyed a Generation?” — drew a link between negative trends in teens’ mental health and the rise of smartphones and social media.
The negative relationship between teens’ mental health and technology use is real — but tiny, the researchers found. “A teenager’s technology use can only predict less than 1% of variation in well-being. It’s so small that it’s surpassed by whether a teenager wears glasses to school.”
How to strike a balance? To start, try mentoring, not monitoring
Heitner’s work emphasizes a concept that’s also put forth by the American Academy of Pediatrics in its guidelines for parents: media mentoring.
Look for the good in your kids’ media interests
For Benji, Minecraft is a social space where he plays with other kids and pulls pranks. He says he wishes his parents understood more about his screen use — “why it’s entertaining and why we want to do it. And also, for YouTube, why I watch other people playing games. When you watch sports, you’re watching another person playing a game! Why is it so different when you’re watching a person play a video game?”
Work together as a family to make changes.
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more on contemplative computing in this IMS blog
https://blog.stcloudstate.edu/ims?s=contemplative+computing
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more on social media in this IMS blog
https://blog.stcloudstate.edu/ims?s=social+media
https://nyti.ms/2LzRzwq
Facebook’s board works more like an advisory committee than an overseer, because Mark controls around 60 percent of voting shares. Mark alone can decide how to configure Facebook’s algorithms to determine what people see in their News Feeds, what privacy settings they can use and even which messages get delivered. He sets the rules for how to distinguish violent and incendiary speech from the merely offensive, and he can choose to shut down a competitor by acquiring, blocking or copying it.
We are a nation with a tradition of reining in monopolies, no matter how well intentioned the leaders of these companies may be. Mark’s power is unprecedented and un-American.
It is time to break up Facebook.
America was built on the idea that power should not be concentrated in any one person, because we are all fallible. That’s why the founders created a system of checks and balances.
More legislation followed in the 20th century, creating legal and regulatory structures to promote competition and hold the biggest companies accountable.
Starting in the 1970s, a small but dedicated group of economists, lawyers and policymakers sowed the seeds of our cynicism. Over the next 40 years, they financed a network of think tanks, journals, social clubs, academic centers and media outlets to teach an emerging generation that private interests should take precedence over public ones. Their gospel was simple: “Free” markets are dynamic and productive, while government is bureaucratic and ineffective.
American industries, from airlines to pharmaceuticals, have experienced increased concentration, and the average size of public companies has tripled. The results are a decline in entrepreneurship, stalled productivity growth, and higher prices and fewer choices for consumers.
From our earliest days, Mark used the word “domination” to describe our ambitions, with no hint of irony or humility.
Facebook’s monopoly is also visible in its usage statistics. About 70 percent of American adults use social media, and a vast majority are on Facebook products. Over two-thirds use the core site, a third use Instagram, and a fifth use WhatsApp. By contrast, fewer than a third report using Pinterest, LinkedIn or Snapchat. What started out as lighthearted entertainment has become the primary way that people of all ages communicate online.
The F.T.C.’s biggest mistake was to allow Facebook to acquire Instagram and WhatsApp. In 2012, the newer platforms were nipping at Facebook’s heels because they had been built for the smartphone, where Facebook was still struggling to gain traction. Mark responded by buying them, and the F.T.C. approved.
The News Feed algorithm reportedly prioritized videos created through Facebook over videos from competitors, like YouTube and Vimeo. In 2012, Twitter introduced a video network called Vine that featured six-second videos. That same day, Facebook blocked Vine from hosting a tool that let its users search for their Facebook friends while on the new network. The decision hobbled Vine, which shut down four years later.
unlike Vine, Snapchat wasn’t interfacing with the Facebook ecosystem; there was no obvious way to handicap the company or shut it out. So Facebook simply copied it. (opyright law does not extend to the abstract concept itself.)
As markets become more concentrated, the number of new start-up businesses declines. This holds true in other high-tech areas dominated by single companies, like search (controlled by Google) and e-commerce (taken over by Amazon). Meanwhile, there has been plenty of innovation in areas where there is no monopolistic domination, such as in workplace productivity (Slack, Trello, Asana), urban transportation (Lyft, Uber, Lime, Bird) and cryptocurrency exchanges (Ripple, Coinbase, Circle).
The choice is mine, but it doesn’t feel like a choice. Facebook seeps into every corner of our lives to capture as much of our attention and data as possible and, without any alternative, we make the trade.
Just last month, Facebook seemingly tried to bury news that it had stored tens of millions of user passwords in plain text format, which thousands of Facebook employees could see. Competition alone wouldn’t necessarily spur privacy protection — regulation is required to ensure accountability — but Facebook’s lock on the market guarantees that users can’t protest by moving to alternative platforms.
Mark used to insist that Facebook was just a “social utility,” a neutral platform for people to communicate what they wished. Now he recognizes that Facebook is both a platform and a publisher and that it is inevitably making decisions about values. The company’s own lawyers have argued in court that Facebook is a publisher and thus entitled to First Amendment protection.
As if Facebook’s opaque algorithms weren’t enough, last year we learned that Facebook executives had permanently deleted their own messages from the platform, erasing them from the inboxes of recipients; the justification was corporate security concerns.
Mark may never have a boss, but he needs to have some check on his power. The American government needs to do two things: break up Facebook’s monopoly and regulate the company to make it more accountable to the American people.
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We Don’t Need Social Media
The push to regulate or break up Facebook ignores the fact that its services do more harm than good
Colin Horgan, May 13, 2019
https://onezero.medium.com/we-dont-need-social-media-53d5455f4f6b
Hughes joins a growing chorus of former Silicon Valley unicorn riders who’ve recently had second thoughts about the utility or benefit of the surveillance-attention economy their products and platforms have helped create. He is also not the first to suggest that government might need to step in to clean up the mess they made
Nick Srnicek, author of the book Platform Capitalism and a lecturer in digital economy at King’s College London, wrotelast month, “[I]t’s competition — not size — that demands more data, more attention, more engagement and more profits at all costs
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more on Facebook in this IMS blog
https://blog.stcloudstate.edu/ims?s=facebook
Think You’re Discreet
APRIL 21, 2019 Zeynep Tufekci
https://www.nytimes.com/2019/04/21/opinion/computational-inference.html
http://trendingpress.com/think-youre-discreet-online-think-again/
Because of technological advances and the sheer amount of data now available about billions of other people, discretion no longer suffices to protect your privacy. Computer algorithms and network analyses can now infer, with a sufficiently high degree of accuracy, a wide range of things about you that you may have never disclosed, including your moods, your political beliefs, your sexual orientation and your health.
There is no longer such a thing as individually “opting out” of our privacy-compromised world.
In 2017, the newspaper The Australian published an article, based on a leaked document from Facebook, revealing that the company had told advertisers that it could predict when younger users, including teenagers, were feeling “insecure,” “worthless” or otherwise in need of a “confidence boost.” Facebook was apparently able to draw these inferences by monitoring photos, posts and other social media data.
In 2017, academic researchers, armed with data from more than 40,000 Instagram photos, used machine-learning tools to accurately identify signs of depression in a group of 166 Instagram users. Their computer models turned out to be better predictors of depression than humans who were asked to rate whether photos were happy or sad and so forth.
Computational inference can also be a tool of social control. The Chinese government, having gathered biometric data on its citizens, is trying to use big data and artificial intelligence to single out “threats” to Communist rule, including the country’s Uighurs, a mostly Muslim ethnic group.
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Zeynep Tufekci and Seth Stephens-Davidowitz: Privacy is over
https://www.centreforideas.com/article/zeynep-tufekci-and-seth-stephens-davidowitz-privacy-over
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Zeynep Tufekci writes about security and data privacy for NY Times, disinformation’s threat to democracy for WIRED
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more on privacy in this IMS blog
https://blog.stcloudstate.edu/ims?s=privacy
Rebecca Ferguson
- Senior lecturer in the Institute of Educational Technology (IET) at The Open University in the UK
- Senior fellow of the Higher Education Academy
TODAY, Thursday at 1:00 PM CT
This Week:
An interactive discussion on the Innovating Pedagogy 2019 report from The Open University
About the Guest
Rebecca is a senior lecturer in the Institute of Educational Technology (IET) at The Open University in the UK and a senior fellow of the Higher Education Academy. Her primary research interests are educational futures, and how people learn together online and I supervise doctoral students in both these areas.
Rebecca worked for several years as a researcher and educator on the Schome project, which focuses on educational futures, and was also the research lead on the SocialLearn online learning platform, and learning analytics lead on the Open Science Lab (Outstanding ICT Initiative of the Year: THE Awards 2014). She is currently a pedagogic adviser to the FutureLearn MOOC platform, and evaluation lead on The Open University’s FutureLearn MOOCs. She is an active member of the Society for Learning Analytics Research, and have co-chaired many learning analytics events, included several associated with the Learning Analytics Community Exchange (LACE), European Project funded under Framework 7.
Rebecca’s most recent book, Augmented Education, was published by Palgrave in spring 2014.
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My notes
innovative assessment is needed for innovative pedagogy.
Analytics. what is I want to know about my learning (from the learner’s perspective)
Ray Garcelon
How is “stealth assessment” unique compared to formative assessment?
students teaching robots
learning analytics, Rebecca is an authority.
how to assess resources are trustworthy, fake news and social media, navigating post-truth society
how to advance the cause of empathy through technological means
gamification. XR safer environment. digital storytelling and empathy.
poll : learning with robots –
digital literacy and importance for curriculum primary, secondary and post secondary level.
digital literacy is changing every year;
drones
Mor, Y., Ferguson, R., & Wasson, B. (2015). Editorial: Learning design, teacher inquiry into student learning and learning analytics: A call for action.
British Journal of Educational Technology,
46(2), 221–229.
https://doi.org/10.1111/bjet.12273
Hansen, C., Emin, V., Wasson, B., Mor, Y., Rodriguez-Triana, M., Dascalu, M., … Pernin, J. (2013). Towards an Integrated Model of Teacher Inquiry into Student Learning, Learning Design and Learning Analytics.
Scaling up Learning for Sustained Impact – Proceedings of EC-TEL 2013,
8095, 605–606.
https://doi.org/10.1007/978-3-642-40814-4_73how to decolonize educational technology: MOOCs coming from the big colonial powers, not from small countries. Video games: many have very colonial perspective
strategies for innovative pedagogies: only certainly groups or aspects taking into account; rarely focus on support by management, scheduling, time tabling, tech support.
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more on future trends in this IMS blog
https://blog.stcloudstate.edu/ims?s=future+trends