From DSC:
Readers of this blog will know that I am pro-technology — at least in most areas. However, as our hearts can sometimes become hardened and our feet can sometimes find themselves on slippery ethical ground, we really need hearts, minds, and consciences that prompt us to care about other people — and to do the right thing as a result of that perspective.

 


Example articles that brought this to my mind recently include:


 

7 sinister technologies from Orwell’s 1984 that are still a threat — from dvice.com by Hal Rappaport

Excerpt (emphasis DSC):

Technology is a wonderful thing, but in the words of Spider-Man’s Uncle Ben, “With great power, comes great responsibility.” If we are not careful, the technology we know and love could be used against us, even subtly. In the year 1984, Apple thought IBM was the bringer of “Big Brother.” In reality, the technology of today better resembles George Orwell’s dystopian vision than a 1980s era PC.

Every day we are in the process of becoming a more connected society. With social networks, cloud computing and even more specific, less-thought-about tech such as Internet-connected home surveillance systems, we may find ourselves in a delicate balance of trust and paranoia.

While we are grateful that we don’t live in a world as bleak as Orwell’s Oceana, it’s clear that the technology now exists to make his world possible if we let it. Keeping our paranoia in check, we should all be mindful of our technology and how it’s used. Security is a good thing and so is saving money, but consider how much of each your personal freedom is worth.

Wiping away your Siri “fingerprint” — from technologyreview.com by David Talbot
Your voice can be a biometric identifier, like your fingerprint. Does Apple really have to store it on its own servers?

Excerpt:

“What I’ve discovered through building and running very targeted online ad campaigns using this data is that users respond favorably to ads that are more targeted, but only if the ads don’t make it clear that I’m targeting sensitive information about them,” he said. “What’s most interesting, and what I’m learning, are which attributes are considered too creepy, and which ones are acceptable.”

“Google Now” knows more about you than your family does – are you OK with that? — from readwriteweb.com by Mark Hachman

Excerpt (emphasis DSC):

Google Now aggregates the information Google already collects about you on a daily basis: accessing your email, your calendar, your contacts, your text messages, your location, your shopping habits, your payment history, as well as your choices in music, movies and books. It can even scan your photos and automatically identify them based on their subject, not just the file name (in the Google I/O demo, Google Now correctly found a picture of the Great Pyramid). About the only aspect of your online life that Google hasn’t apparently assimilated yet is your opinions expressed on Google+. But that’s undoubtedly coming.

Social network privacy settings compared — from techhive.com by Nick Mediati

Excerpt (emphasis DSC):

It should go without saying that protecting your privacy online is kind of a big deal. While people are generally good at not giving out their personal information to just any website that asks for it, those same people can be found filling their Facebook accounts with everything from their birthday to where they live and work. Putting this sensitive information onto a social network not only leaves your data exposed to third-parties (advertisers and so forth), but also to anyone who happens across your profile.

Facebook, Google+, and Twitter all have settings that let you tweak what others can see on your profile—but navigating them can be a bit of a mess. Not all social networks give you complete control over your privacy online, so here’s a quick overview of what Facebook, Google+, and Twitter allow you to do.

U.S. companies lost at least $13 billion to espionage last year — from ieee.org by Robert Charette

Google Glass & Now: Utopia or Dystopia? — from extremetech.com by Sebastian Anthony

Excerpt (emphasis DSC):

If you didn’t watch the Google I/O keynote presented by Vic Gundotra, Hugo Barra, and Sergey Brin, let me quickly bring you up to speed.  Google Now is an Android app that uses your location, behavior history, and search history to display “just the right information at just the right time.”  For example, if you regularly search for a certain sports team, Now will show you a card with the latest scores for that team.  When Now predicts or detects that you’re leaving home in the morning, it will display a card with any relevant traffic information.  If you have a lunch meeting in your Google Calendar, Now will show you the route you need to take to get there — and when you need to leave to get there on time.  If you search Google for an airline flight, Now will show a card with the flight details (and any delays).

Big e-reader is watching you — from PaidContent.org  by Laura Hazard Owen

Why privacy is big business for trial lawyers — from technologyreview.com by Antonio Regalado
Tech companies that make privacy mistakes can expect a lawsuit.

Legal discovery: The billboard is imaginary, but the trend is real.
Trial lawyers are ramping up lawsuits over online privacy breaches.
Flickr Creative Commons | AdamL212 and istock/stocknroll


Addendums
On 7/6/12:
  • Your e-book is reading you — WSJ.com by Alexandra Alter
    Digital-book publishers and retailers now know more about their readers than ever before. How that’s changing the experience of reading.

On 7/16/12:

On 7/23/12:

“Learning from the living room” — Part I [Christian]

Learning from the living room -- a component of our future learning ecosystems -- by Daniel S. Christian, June 2012

 

 

Legal size PDF here

 

 

Addendum on 7/3/12 from an article I wrote for EvoLLLution.com (for LifeLong Learning):
Establishing better collaboration between the corporate world and higher education [Christian]

In the near future, perhaps we could have second screen-based activities whereby corporate leaders are giving TED-like presentations or expressing the current issues in their worlds via a program on Smart TVs, and the students are communicating and collaborating about these presentations via tablets or smart phones.  Perhaps there will be electronic means whereby students could submit their ideas and feedback to the presenting companies (and whereby selected ideas could be rewarded in terms of free products or services that the company produces).

The Secret Life of Data in the Year 2020– from The World Future Society by Brian David Johnson, a futurist at Intel Corporation, where he is developing an actionable vision for computing in 2020.

Excerpt:

Why will most people think that their data has a life of its own? Well, because it’s true. We will have algorithms talking to algorithms, machines talking to machines, machines talking to algorithms, sensors and cameras gathering data, and computational power crunching through that data, then handing it off to more algorithms and machines. It will be a rich and secret life separate from us and for me incredibly fascinating.

But as we begin to build the Secret Life of Data, we must always remember that data is meaningless all by itself. The 1s and 0s are useless and meaningless on their own. Data is only useful and indeed powerful when it comes into contact with people.

This brings up some interesting questions and fascinating problems to be solved from an engineering standpoint. When we are architecting these algorithms, when we are designing these systems, how do we make sure they have an understanding of what it means to be human? The people writing these algorithms must have an understanding of what people will do with that data. How will it fit into their lives? How will it affect their daily routine? How will it make their lives better?

Also see:

Preview of Future Inventions—Futurists: BetaLaunch 2012 — from The World Future Society by Kenneth J. Moore
The World Future Society’s second annual innovation competition will allow WorldFuture 2012 attendees to preview a few of the life-changing and society-altering artifacts of the future.

The Future of Education - Learning Powered by Techonology -- Karen Cator -- May 2012

.

Featured presenters:

  • Karen Cator, Dir. Office of Education Technology, U.S. Department of Education
  • Dr. Barrett Mosbacker, Superintendent, Briarwood Christian School

Excerpts re: trends:

  • Mobility — 24/7 access
  • Social interactions for learning
  • Digital content
  • Big data

 

 

Top 4 IT takeaways from Tata’s tech guy — from gigaom.com by Barb Darrow

  1. The “should we should go to the cloud” discussion is over — move on
  2. Big data remains big
  3. Social media needs to come in-house
  4. The commercial world needs to tap academic research better

Big-data related items

The online future is personal, and that requires big data — from gigaom.com by Mathew Ingram

.What can you do with a supercomputer? –– from extremetech.com by Sebastian Anthony

 

IBM supercomputer (p690 cluster)

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What big data really needs is security — from gigaom.com by Ryan Lawler

BigDataWeek plans lots of meetings in April around the world– from ReadWriteCloud.com by David Strom

.

Tagged with:  

From DSC:
Arguably, Sal Kahn has become the most famous, influential educator on the planet today — his videos are watched millions of times a day now.  The question — which Eric Schmidt answers in the piece — I couldn’t help but ask was, “Why didn’t this type of innovation come from someone who was working in education at the time of their innovation?”

My thanks to Dr. Kate Byerwalter and her colleagues for passing along this resource.
The tags/associated categories for this posting point out the relevant areas covered.

 

Khan Academy: The future of education?

Also see:

  • Khan Academy: The future of education?
    (CBS News) Sal Khan is a math, science, and history teacher to millions of students, yet none have ever seen his face. Khan is the voice and brains behind Khan Academy, a free online tutoring site that may have gotten your kid out of an algebra bind with its educational how-to videos. Now Khan Academy is going global. Backed by Google, Gates, and other Internet powerhouses, Sal Khan wants to change education worldwide, and his approach is already being tested in some American schools. Sanjay Gupta reports.

From DSC:
A relevant graphic comes to mind with what Sal is trying to achieve with analytics:

i.e. Highly-effective diagnostic tools for the educators and trainers out there!

 

 

From DSC:
I would also add that being able to program — and extract data from — educationally-related  apps will be a key skill to have as well.  Analytics in education continues to build up steam — though I wish such efforts and investments in analytics would be more focused on creating personalized/customized learning — and not so much on mining data for standardized testing and reporting for the legislators and administrations to review.

.

Pearson and Knewton charge ahead with adaptive courses — from The Journal by Dian Schaffhauser

Excerpt:

“Personalized learning is a linchpin for the overall future of education,” said Greg Tobin of Pearson. “Incorporating Knewton’s technology into our MyLab/Mastering programs is leading the industry’s charge toward this new era of customized and personalized education.”

“Students generate a tremendous amount of high-stakes data that Knewton can analyze to ensure they learn in the most effective and efficient way for each. It is a new frontier in education,” added Jose Ferreira, founder and CEO of Knewton.

Recording everything: Digital storage as an enabler of authoritarian governments — by John Villasenor, a nonresident senior fellow in Governance Studies and in the Center for Technology Innovation at Brookings. He is also professor of electrical engineering at the University of California, Los Angeles.

Excerpt (emphasis DSC):

Within the next few years an important threshold will be crossed: For the first time ever, it will become technologically and financially feasible for authoritarian governments to record nearly everything that is said or done within their borders – every phone conversation, electronic message, social media interaction, the movements of nearly every person and vehicle, and video from every street corner. Governments with a history of using all of the tools at their disposal to track and monitor their citizens will undoubtedly make full use of this capability once it becomes available.

The Arab Spring of 2011, which saw regimes toppled by protesters organized via Twitter and Facebook, was heralded in much of the world as signifying a new era in which information technology alters the balance of power in favor of the repressed. However, within the world’s many remaining authoritarian regimes it was undoubtedly viewed very differently. For those governments, the Arab Spring likely underscored the perils of failing to exercise sufficient control of digital communications and highlighted the need to redouble their efforts to increase the monitoring of their citizenry.

Declining storage costs will soon make it practical for authoritarian governments to create permanent digital archives of the data gathered from pervasive surveillance systems. In countries where there is no meaningful public debate on privacy, there is no reason to expect governments not to fully exploit the ability to build databases containing every phone conversation, location data for almost every person and vehicle, and video from every public space in an entire country.

This will greatly expand the ability of repressive regimes to perform surveillance of opponents and to anticipate and react to unrest. In addition, the awareness among the populace of pervasive surveillance will reduce the willingness of people to engage in dissent.

The data-mining’s the thing: Shakespeare takes center stage in the Digital Age– from FastCompany.com by Neal Ungerleider
Folger Shakespeare Library director Michael Witmore is using 21st-century tools to analyze the Bard’s work. When data-mining techniques borrowed from the sciences and business research were applied to classic Shakespearean plays, surprising discoveries were made.

 

Also see:

DocuScope screenshot

Tagged with:  

Next on TV: Data driven programming — from wired.co.uk by Matt Locke

Excerpt:

Quiz shows such as The Million Pound Drop Live on Channel 4 use real-time data from hundreds of thousands of online players to feed interesting stats and observations to host Davina McCall. [From DSC: What if this related to an online-based learning exercise/class/module/training session?]

This is the real revolution that is about to hit TV production — data is moving off the servers and in front of the cameras. With this comes a new generation of creative talent — data storytellers for whom the spreadsheet is as important as a script when it comes to content. TV is no longer stuck behind the screen — around 60 per cent of people in the UK watch with a “second screen” (a mobile or laptop) at the same time, and a lot of them are talking online about what they’re watching. TV is now back in the crowd, and if you make, commission or distribute content right now, you’d better learn to love data, and fast.

Also see:

  • What comes after Siri? A web that talks back — from gigaom.com by Stacey Higginbotham
    Siri may be the hottest personal assistant since I Dream of Jeannie, but Apple’s artificial intelligence is only the tip of the iceberg as we combine ubiquitous connectivity, sensor networks, big data and new methods of AI and programming into a truly connected network.
  • Ball State University Center for Media Design to Host Workshop Session — from thetvoftomorrowshow.com
    Entitled “Researching the Second Screen and Social Viewing: Two Recent Studies,” the workshop will see CMD researchers summarizing the findings from: 1) an eye-tracking study of viewers’ distribution of visual attention between the TV and second screen during use of two commercially released second-screen apps; and 2) a study of show-specific Twitter traffic rates during programming and ad pods for multiple episodes of three shows from different genres.

How ‘big data’ is transforming business — from McKinseyQuarterly.com

Excerpt:

Right now at your own company, it’s quite possible that sensors in process machinery are collecting operational data, marketers are using location data from smartphones to demystify teenagers’ buying quirks, and data exchanges are creating networks with your supply chain partners. As an explosion of data transforms processes, corporate ecosystems, and approaches to innovation, it’s important to remember that new technologies and tools raise productivity not only because companies adopt them but also, more critically, because they enable new management practices and organizational structures. So in this month’s newsletter, we highlight a package of articles that can help executives navigate the era of big data.

 

Why cloud computing is expanding the powers of Big Data analysis — from wired.co.uk by Dan Smith
 

 

Excerpt:

According to Werner Vogels, Amazon.com’s chief technology officer, data analysis — specifically “Big Data” analysis — is the backbone of modern business. Without it, your survival chances are limited and, with the growth of cloud computing it’s becoming easier than ever for startups and SMEs. “There’s a shift going on,” Vogels says. “Five or ten years ago, when thinking about data analysis, you would think about the biggest companies in the world. Today, there’s not a new business not thinking about data analysis.”

 
Also see:

 

Building Learning Communities 2011 Keynote: Dr. Eric Mazur — from November Learning

Excerpt:

Today, we are officially relaunching our opening keynote from BLC11 with Dr. Eric Mazur. Dr. Mazur is the Area Dean of Applied Physics and Balkanski Professor of Physics and Applied Physics at Harvard University in Cambridge, MA.

In his keynote, Dr. Mazur shares his vast research on teaching and learning. Students in Dr. Mazur’s class are moving far away from the traditional stand and deliver lectures given in many k-12 and university classrooms around the world, and they are gaining a much deeper understanding of the material being taught in the process.

As you watch this video, we invite you to take some time and respond to one or more of the following questions…

 

From DSC:
What I understood the key points to be:

  • Teaching and learning should not be about information transfer alone; that is, it’s not about simply having students “parrot back” the information.  That doesn’t lead to true learning and long-term retention.
  • The more a teacher is an expert in his/her content, the more difficulty this teacher has in understanding how a first time learner in this subject struggles
  • Rather we need to guide and use peer instruction/social learning/collaboration amongst students to construct learning and then be able to apply/transfer that learning to a different context
  • Lecturing is not an effective way to create a long term retention of information
  • Peer instruction/human interaction creates effective learning
  • “The plural of anecdotes is not data.”
  • Eric is seeking data and feedback to sharpen his theories of how to optimize learning
  • Technology serves pedagogy — technology should afford a new mode of learning
  • Towards that end, Eric and team working on “Peer instruction 2.0”
  • How do I design good questions?  Optimize the discussions? Manage time? Insure learning is taking place?
  • Eric is working with several other colleagues to create a system for building and using data analytics to give useful information to instructor about who’s “getting it” and who isn’t; about how we learn
  • Peer instruction not without issues — how people group themselves and who students choose to collaborate with can be problematical
  • Why not have the system do the pairing/grouping?
  • System uses algorithms, facial recognition, posture analysis; cameras, microphones
  • Surveys also used
  • The system is attempting to help Eric and his team learn about learning
  • The system being used at Harvard and by invitation only

Eric ended with a summary of the 2 key messages:

  1. Education is not about lecturing
  2. We can move way beyond the current technologies and use new methods and technologies to actively manage learning as it happens

 

From DSC:
After listening to this lecture, the graphic below captures a bit of what he’s getting at and reflects some of my thinking on this subject as well.  That is, we need diagnostic tools — along the lines of those a mechanic might use on our cars to ascertain where the problems/issues are:
 


 

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