From DSC:
In this series of periodic postings re: experimentation (see here and here), this week’s Consumers Electronics Show prompts me to think about different types of experiments, prompting such questions as:
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  • When will we see more educationally-related second screen apps?
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  • How might this type of setup dovetail with MOOCs provided by institutions of higher education? With MOOCs offered by the corporate world?
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  • What sorts of technologies will weave their way into what could be offered here?
    (The following possibilities come to my mind: Artificial Intelligence (AI), learning agents, recommendation engines, course or topic playlists, web-based learner profiles, data mining/analytics, videoconferencing, educational gaming, virtual tutoring, BYOD, and/or cloud-based computing. Other…?)
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  • Will Internet-enabled marketplaces and exchanges — between learners and teachers — become commonplace?
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  • Will technologies involved with endeavors like IBM’s Watson or with Knewton be deployed in this kind of convergent environment? If so, what sorts of doors/job opportunities/new skillsets would that open up or require?
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The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV

 

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Some relevant items on this include:

Flingo reveals Samba, a first of its kind dual interactive TV and second screen platform — from pandodaily.com byasdf

Excerpt:

This week at CES in Las Vegas (the Consumer Electronics Show), San Francisco-based Flingo will release the latest version of its platform, dubbed Samba, aimed at changing this. Samba will make four-year-old Flingo one of the first to offer a combined Interactive TV and Second Screen experience.

“We saw a surge of Smart TV and tablet adoption in 2012, but realized that a seamless TV experience across all screens was missing,” says Flingo co-founder and CEO Ashwin Navin, formerly of BitTorrent. “Samba will blur the lines between linear television and the Web.”

Flingo is unique in that it uses video, not audio to identify what content is being viewed…

Samba offers viewers the ability to actively engage with programming in real-time through their primary screen. This can take the form of polls, social conversations, recommendations, or consumption of related media. In the case of Second Screens, aka internet-connected laptops, tablets, and smartphones used simultaneously while watching TV, the company can offer an even wider array of complementary content and engagement, such as aggregated social feeds relating to live programming or an ability to watch past episodes of a live show. This can all be delivered across multiple screens, in concert.

 

Also see:

Smart TV Alliance adds Panasonic and IBM to its fold, lays bare new SDK features -- Sean Buckley

 

Also see:

 

samsung smart tv ces 2013

 

Kevin Smith/Business Insider

 

More tangentially, but still relevant:

  • McGraw-Hill to debut adaptive e-book for students — from blogs.wsj.com by Shalini Ramachandran
    Excerpt:

    The SmartBook…works like this: All readers essentially see the same textbook as they read for the first five minutes. But as a reader answers review questions placed throughout the chapter, different passages become highlighted to point the reader to where he or she should focus attention.

 

The hottest IT skills for 2013 — from itstrategynews.com

Top 4 traits of “future proof” employees, according to 1,709 CEOs — from forbes.com
What should you look for as you recruit new hires in 2013? As an employee yourself, what traits will serve you best in the years ahead?

Excerpt:

Late last year IBM conducted interviews with 1,709 CEOs around the world, and published the results in a white paper titled “Leading Through Connections.” It’s a fascinating look at how business leaders are reacting to recent convergence of digital, social and mobile technologies, known by many as the “connected economy.”

From DSC:
How are K-12 and higher ed doing on developing this type of employee?

Also see:

 

Book says ‘Big Data’ becoming a global nervous system — from USA TODAY by Chuck Raasch — with thanks to Ray Schroeder for the resource
Explosion of “Big Data” collection and analysis is hopeful, yet worrisome, trend

Excerpt:

Smolan, a former National Geographic photographer, built the book around a simple premise: That “big data” are becoming a “planetary nervous system,” the potential and consequences of which few have even started to contemplate.

It’s “an extraordinary knowledge revolution that’s sweeping, almost invisibly, through business, academia, government, health care and everyday life,” he says.

That revolution, he says, is being built on “a set of technologies coming together at just the right time, brought about by widespread and low-cost sensors that can now communicate with each other, the plummeting cost of computing power, the ubiquitous everywhere and always-on aspect of the Internet, the rapidly proliferating spread of smart devices.”

Also see:

 

Realtime analytics for education: Ontract wants to do for student data what Mint.com did for financial data — from techcrunch.com by Rip Empson

Excerpt:

The FERPA-compliant platform connects fragmented educational systems, like student information systems (SISes) and learning management systems (LMSes), collecting and analyzing student data to provide educators with greater insight into data metrics and analytics, without requiring a lengthy setup process or expensive configuration.

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Big data in K-12: Is voice technology talking to you yet? (Part II) — from ednetinsight.com by Nelson B. Heller

Excerpt:

Read on to learn more about where we stand and some interesting examples of voice-powered educational products. (These articles are based in part on my recent “View From the Catbird Seatpresentation at EdNET 2012.)

Also see/relevant:

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Over the top: the new war for TV is just beginning [Patel]

Over the top: the new war for TV is just beginning  -- from The Verge by Nilay Patel -- November 12 2012

 

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 Future of TV

 

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The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV

 

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From DSC:
I’m beginning to wonder if many of us will be moving off of Moodle, Sakai, Bb Learn, Desire2Learn, etc. to platforms and ecosystems that are being created by Apple, Google, Amazon, and Microsoft.  Rockstar professors on “primetime” — or anytime. If that happens, you can be sure there will be teams of specialists creating and delivering the content and learning experiences.

 

 

Will Richmond on Top 2013 TV Trends [from Videomind by Greg Franzese]

Will Richmond on Top 2013 TV Trends -- from Videomind by Greg Franzese -- 11-29-2012

 

From DSC:
I continue to watch this space as the foundations are being put into place for what I’m calling, “Learning from the Living [Class] Room.”

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

 

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Reflecting on the Top IT Issues of 2012 — from campustechnology.com by Dian Schaffhauser

  1. Updating IT professionals’ skills and roles to accommodate new technologies and changing IT delivery models
  2. Supporting IT consumerization and bring-your-own device programs
  3. Developing a cloud strategy
  4. Improving the institution’s operational efficiency through IT
  5. Integrating IT into institutional decision-making
  6. Using analytics to support the important institutional outcomes
  7. Funding IT initiatives
  8. Transforming the institution’s business with IT
  9. Supporting research with high-performance computing, large data, and analytics
  10. Establishing and implementing IT governance throughout the institution

 

Also see:

Involving students in IT — — from campustechnology.com by Keith Norbury
IT shops are turning to students to staff help desks, troubleshoot, and more. For schools, it’s a way to cut costs; for students, it’s a learning experience and a pathway to employment.

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From DSC:
I understand that Mr. George Lucas is going to express his generosity in donating the $4.05 billion from the sale of Lucasfilm to education.

Here’s a question/idea that I’d like to put forth to Mr. Lucas (or to the United States Department of Education, or to another interested/committed party):

Would you consider using the $4+ billion gift to build an “Online Learning Dream Team?”

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Daniel Christian -- The Online Learning Dream Team - as of November 2012

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 Original image credit (before purchased/edited by DSC)
yobro10 / 123RF Stock Photo

 

 

From DSC:
What do you think? What other “players” — technologies, vendors, skillsets, etc. — should be on this team?

  • Perhaps videography?
  • Online tutoring?
  • Student academic services?
  • Animation?
  • Digital photography?

 

Predicting what topics will trend on Twitter — from MIT

Excerpt:

At the Interdisciplinary Workshop on Information and Decision in Social Networks at MIT in November, Associate Professor Devavrat Shah and his student, Stanislav Nikolov, will present a new algorithm that can, with 95 percent accuracy, predict which topics will trend an average of an hour and a half before Twitter’s algorithm puts them on the list — and sometimes as much as four or five hours before.

The algorithm could be of great interest to Twitter, which could charge a premium for ads linked to popular topics, but it also represents a new approach to statistical analysis that could, in theory, apply to any quantity that varies over time: the duration of a bus ride, ticket sales for films, maybe even stock prices.

Like all machine-learning algorithms, Shah and Nikolov’s needs to be “trained”: it combs through data in a sample set — in this case, data about topics that previously did and did not trend — and tries to find meaningful patterns. What distinguishes it is that it’s nonparametric, meaning that it makes no assumptions about the shape of patterns.

In principle, Shah says, the new algorithm could be applied to any sequence of measurements performed at regular intervals. But the correlation between historical data and future events may not always be as clear cut as in the case of Twitter posts. Filtering out all the noise in the historical data might require such enormous training sets that the problem becomes computationally intractable even for a massively distributed program. But if the right subset of training data can be identified, Shah says, “It will work.”

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Excerpt:

Agarwal believes that education is about to change dramatically. The reason is the power of the Web and its associated data-crunching technologies. Thanks to these changes, it’s now possible to stream video classes with sophisticated interactive elements, and researchers can scoop up student data that could help them make teaching more effective. The technology is powerful, fairly cheap, and global in its reach. EdX has said it hopes to teach a billion students.

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Which brings me to this graphic:

 

asdfsadf

 

Also see:

 

IBM’s Watson expands commercial applications, aims to go mobile  — from singularityhub.com by Jason Dorrier

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From DSC:
This relates to what I was trying to get at with the posting on mobile learning.  I would add the word “Education” to the list of industries that the technologies encapsulated in Watson will impact in the future. Combine this with the convergence that’s enabling/building the Learning from the Living [Class] Room environment, and you have one heck of an individualized, data-driven, learning ecosystem that’s available 24 x 7 x 365 — throughout your lifetime!!!

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IBM Watson-Introduction and Future Applications

 

 


Also relevant here are some visions/graphics I created from 2012 and from 2008:


 

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The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV

 

 

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Why couldn't these channels represent online-based courses/MOOCs? Daniel Christian - 10-17-12

 

 

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Big Data in K-12: Attack of the Recommendation Engines – Part I – from EdNetInsight.com by Nelson B. Heller, President, The HellerResults Group — Friday, October 12, 2012

Excerpt:

Big Data Meets Education
A wave of K-12 entrepreneurial initiatives sees the application of “big data” as the key to instructional technology’s Holy Grail—intelligent real-time differentiated instruction akin to working one-on-one with a brilliant personal instructor. Investors, aware of the powerful strides made in recommendation engines by Internet giants Google, Amazon, LinkedIn, Netflix, and Zynga, as well as for a host of military and commercial applications, see in big data education’s “next big thing.” In this and my next article, I’m going to explore what’s happening in this arena and in voice recognition technology, which, if you look under the hood, can be thought of as being driven by the same advances in data science and recommendation engines. These articles are based in part on my recent View From the Catbird Seat presentation at EdNET 2012. Read on to see what threats and opportunities this new frontier represents for your own organization.

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