Items re: the connected living room; relates to what I call a future “learning from the living room” environment

The human voice, as game changer — from nytimes.com by Natasha Singer


Matthew Cavanaugh for The New York Times

Vlad Sejnoha demonstrated Nuance’s Dragon TV system, which obeys spoken commands to
flip channels, for example, or shop on screen on Amazon.com.

Apple’s iCloud will teach Apple’s Smart TV remote new tricks — from patentlyapple.com

6 answers about your next TV, with or without Apple — from forbes.com by Michael Humphrey

10 tech commandments for the TV industry — from thenextweb.com by Martin Bryant

Smart TVs are growing in popularity — from business-news.thestreet.com by Steve Adams

smartTV Quincy gh 032112-284-wihr.jpg

Image from Gary Higgins/The Patriot Ledger

Paul Berrini, a salesman at Hancock T.V.& Appliance in Quincy, demonstrates
some of the new features of “smart” televisions, Wednesday, March 21.

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10 AirPlay-ready iPad apps that make Apple TV worth it — from  readwriteweb.com by John Paul Titlow

Entertainment and Streaming Media – The Recent Past and the Future — from homesystemintegration.com by Alan Ruby

Connected Living Room 1

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TVs may soon be used to spy on youfrom smartplanet.com by Tuan C. Nguyen

 

 

Lifelong learning ecosystems!!! A powerful vision for our future [Daniel Christian]

From DSC:
The vision below involves:
(click on the image below to access it)
 

  • The convergence of the telephone, the television, and the computer
  • Cloud-based education stores/marketplaces/exchanges
  • Second screen devices and machine-to-machine communications
  • Social networking/learning
  • Smart classrooms/learning spaces
  • Content recognition/synchronization applications
  • Apps as “channels”
  • Web-based learner profiles
  • Video overlays
  • New business models in higher ed
  • New jobs/needs for the future
  • A new way for employers to hire highly-effective employees/contractors/consultants
  • …and more

 

Click this thumbnail image to access the larger image / vision

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From DSC:
This is exactly what I was getting at with The Forthcoming Walmart of Education (2008) and it points out, again, that innovation is much faster and stronger in the online world than it is in the face-to-face world. The tools being developed to engage, track, diagnose, and adapt continue to be developed. What may have once been poo-pooed continues to pick up steam. (Christensen, Johnson, & Horn are right on track.) The trend will be towards more team-based endeavors that can be made available at a greatly reduced price. They will be multimedia-based, highly-interactive, and state-of-the-art (technically and pedagogically).

Treating Higher Ed’s ‘Cost Disease’ With Supersize Online Courses — from The Chronicle by Marc Parry

Excerpt (with emphasis from DSC):

Professors should move away from designing foundational courses in statistics, biology, or other core subjects on the basis of “intuition,” she argues. Instead, she wants faculty to work with her team to put out the education equivalent of Super Bowl ads: expensively built online course materials, cheaply available to the masses.

“We’re seeing failure rates in these large introductory courses that are not acceptable to anybody,” Ms. Thille says. “There has to be a better way to get more students—irrespective of where they start—to be able to successfully complete.”

Her approach brings together faculty subject experts, learning researchers, and software engineers [from DSC — a TEAM-based approach] to build open online courses grounded in the science of how people learn. The resulting systems provide immediate feedback to students and tailor content to their skills. As students work through online modules outside class, the software builds profiles on them, just as Netflix does for customers. Faculty consult that data to figure out how to spend in-person class time.

From DSC:
Such learner profiles will most likely reside in the cloud and eventually standards will be established to insert new data into these profiles. The access to view/edit these profiles will be controlled by the individual learners (hopefully!).  What if learners could selectively grant corporations access to this type of profile as their new resume?

For items concerning team-based approaches, see this recording (June 2009) as well as this collection of items.

For items concerning consortia and pooling resources, see here and here.

 

 

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.

There's no time for baby steps -- Wireless Generation

Also see their information on Burst — for early literacy

and their estimate product launch dates:

 

Tagged with:  

The connected life at home -- from Cisco

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From DSC:

How will these types of technologies affect what we can do with K-12 education/higher education/workplace training and development? I’d say they will open up a world of new applications and opportunities for those who are ready to innovate; and these types of technologies will move the “Forthcoming Walmart of Education” along.

Above item from:

Tagged with:  

Computer ties human as they square off on ‘Jeopardy!’ — from CNN.com

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IBM's Watson computer is competing against former champs Ken Jennings, left, and Brad Rutter on "Jeopardy!" this week.

.From DSC:
To be clear, I celebrate what the LORD has created and given to us in our amazingly-complex minds! I do not subscribe to the idea that robots are better than humans or that technologies are to be glorified and that technologies will save the world — not at all. (In fact, I have some concerns about the havoc that could easily occur if certain technologies wound up in the wrong hands — with those who have no fear of the LORD and who have massive amounts of pride…with hearts of stone.)

Getting back to my point…
The phenomenon that Christensen, Horn, and Johnson describe in Disrupting Class continues to play out in higher education/K-12. The innovations are mainly happening outside the face-to-face T&L environments.

Also see:

Behavior Learning Engine from netuitive.com
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Along these lines, check out:
‘Jeopardy’ champs take on IBM’s Watson

“This is huge; this isn’t just about answering questions,” says computational linguistics expert George Luger of the University of New Mexico in Albuquerque, who was not part of IBM’s team. “Everything before this was just a run-up to computers as true personal assistants.”


The Ultimate Study Guide: Wolfram Alpha Launches “Course Assistant” Apps — from ReadWriteWeb by Audrey Watters

The computational knowledge engine Wolfram|Alpha is launching the first three of a series of new “course assistant” apps today. These apps, available for iPhone, iPod Touch, and iPad, are designed to take advantage of the Wolfram|Alpha technology in the service of supporting some of the most popular courses in high school and college.

The idea is to be able to quickly access the pertinent capabilities of Wolfram|Alpha relevant for specific subject areas. Currently, these subject areas are Algebra, Calculus, and Music Theory. But the company says it plans to add apps for other subjects – “for every major course, from elementary school to graduate school,” – including those fields outside math and science.

From DSC:
Notice the term engine (in bold maroon above).
This is the type of sophisticated programming that will increasingly be baked into future learning products — as the software seeks to learn more about each learner while providing each learner with a more customized learning experience…pushing them, but aiming to encourage — not discourage — them. I can see an opt-in program where each of us can build a cloud/web-based learner profile — and allow such an engine to be “fed” that data.



How will technologies like AirPlay affect education? I suggest 24x7x365 access on any device may be one way. By Daniel S. Christian at Learning Ecosystems blog-- 1-17-11.

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Addendum on 1-20-11:
The future of the TV is online
— from telegraph.co.uk
Your television’s going to get connected, says Matt Warman


Towards a new-digital learning ecosystem based on autonomic Web services — from IEEEXplore Digital Library (emphasis below from DSC)

Abstract
With the latest advances in information and communication technologies, learners can now engage in continuous and rich learning-sessions that characterize today’s digital learning ecosystems. In these ecosystems, learning resources are pervasive and dynamic. A key challenge is to develop a scalable learning system that addresses the inherent complexity of learning sessions and cater for the specific needs and requirements of individual learners. In this paper, we adopt autonomic Web services to capture disparate learning resources and build an autonomic digital learning ecosystem that reconfigures itself in response to changes in the environment such as learners’ profiles, resource availabilities, and type of instructional material. The use of autonomic Web services permits to abstract the learning resources into distributed and uniformly structured objects and to record learners’ attributes into a packaged profile. These Web services sense the learning context and coach learners in their pursuit of constructive instructional sessions. A service-oriented architecture is proposed to connect learning resources, learners’ profiles, and contextual indicators. A prototype is, also, illustrated in the paper to show the feasibility of the proposed solutions.

Also see:

‘The fundamentals of how children learn’ – ePace [from agent4change.net]
Maureen McTaggart explores a new service that helps kids learn and teachers teach

Mary Blake

A simple 45-minute test developed by an ex-teacher helps educators identify the strengths and weaknesses of all their pupils and then transform the way they teach and how those children learn. But the ePace online profiling tool, which will be launched at BETT 2011, is not about creating more record-keeping for teachers, says Mary Blake.

“We are looking at the fundamentals of how children learn rather than what attainment level they are going to get,” she says. “I think it’s an amazing thing for teachers to know but even more so for children because it empowers them to see for themselves how they are learning.”

The ePace (electronic profile of attainment cognition and efficiency) test evaluates 11 critical areas of learning – auditory memory, visual memory, listening skills, emotional control, decision making, focus, hand-eye co-ordination, mental speed, timing, literacy and impulsivity – and any child from the age of seven can take it. The support pack includes practical teacher resources and strategies and interactive sharing with students and parents is actively encouraged.

The Pivot to Digital Learning: 40 Predictions — from Tom Vander Ark, Partner, Revolution Learning — via EdNet Insights

From DSC:
That posting includes predictions for changes that we’ll see in the next 1, 5 and 10 years…with some excerpts below:

3. Lingering budget woes will cause several districts and charter networks, particularly in California, to flip to a blended model, with a shift to online or computer-based instruction for a portion of the day to boost learning and operating productivity.

9. The instant feedback from content-embedded assessment, especially learning games, simulations, virtual environments, and MMOs (massively multiplayer online games), will be widely used in formal and informal learning and will build persistence and time on task.

10. Adaptive content will result in more time on task (in some cases, two times the productive learning time over the course of a year), and better targeted learning experiences will boost achievement, particularly among low-income and minority students.

11. Comprehensive learner profiles will gather keystroke data from learning platforms, content-embedded applications, as well as after-school, summer school, tutoring, and test prep providers. Students and families will manage privacy using Facebook-like profiles.

12. Most learning platforms will feature a smart recommendation engine, like iTunes Genius, that will build recommended learning playlists for students.

18. All U.S. students will have access to online courses for Advanced Placement, high-level STEM courses, and any foreign language (this should happen next year, but it will take us five years to get out of our own way).

23. Second-generation online learning will replace courseware with adaptive components in a digital content library (objects, lessons, units, and sequences).

27. Most high school students will do most of their learning online and will attend a blended school.

28. More than one-third of all learning professionals will be in roles that do not exist today; more than 10% will be in organizations that do not exist today.

29. The higher ed funding bubble will burst, and free and low-cost higher education alternatives will displace a significant portion of third tier higher education (emphasis DSC).

37. There will be several DIY High options—online high schools with an engaging and intuitive merit badge sequence that will allow students to take ownership of and direct their own learning. They will still benefit from adult assessment, guidance, and mentorship but in a more student-directed fashion.

© 2025 | Daniel Christian