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Next on TV: Data driven programming [Locke]

On 11/30/2011, in 21st century, A/V -- audio/visual, analytics, Artificial Intelligence/Agents/LLMs/and Related, cloud-based computing / apps / other cloud-related, convergence, data related items, digital storytelling, emerging technologies, engagement / engaging students, game-changing environment, learner profiles, Learning from the Living [Class] Room, television, transmedia, UK, by Daniel Christian

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?]

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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.
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Wireless Generation — innovation within education

On 04/08/2011, in 21st century, 24x7x365 access, analytics, education, emerging technologies, future, game-changing environment, innovation, K-12 related, learner profiles, learning agents, personalized/customized learning, by Daniel Christian

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

Also see their information on Burst — for early literacy

and their estimate product launch dates:

 

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Goab TV Concept — What if these ideas could be applied towards education!?! [Fubiz.net]

On 04/07/2011, in 21st century, 24x7x365 access, 3D, A/V -- audio/visual, convergence, creativity, Daniel S. Christian, digital audio, digital learning, digital storytelling, digital textbooks, digital video, disruption, distance education, e-books, e-readers, education technology, educational games / serious games, emerging technologies, engagement / engaging students, flipping -- inverted learning, future, future of higher education, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), intelligent systems, intelligent tutoring, interactivity, internet, K-12 related, learner profiles, learning agents, learning ecosystem, learning spaces, lifelong learning, mobile learning, multi-touch, multimedia, New "Amazon.com" of Higher Education, online learning, online media, online tutoring, personalized/customized learning, platforms, relationships, social learning / networks, social media, technologies for your home, technology (general), telecommunications, telepresence, television, training / L&D, transmedia, ubiquitous learning, videoconferencing, virtual field trips, virtual K-12 schools, virtual tutoring, web-based collaboration, by Daniel Christian

 

 

 

 

 

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The Connected Life at Home — from Cisco

On 02/28/2011, in 21st century, 24x7x365 access, 3D, A/V -- audio/visual, adult learning, cloud-based computing / apps / other cloud-related, communications, convergence, corporate / business world, corporate universities / corporate training, cost of getting a degree, dangers of the status quo, Daniel S. Christian, digital audio, digital learning, digital photography, digital storytelling, digital textbooks, digital video, disruption, distance education, e-books, e-readers, education, education technology, educational games / serious games, elearning, emerging technologies, entrepreneurship, future, future of higher education, game-changing environment, higher education, homeschooling/homeschoolers, informal learning, intelligent tutoring, internet, K-12 related, learner profiles, learning, learning agents, learning ecosystem, learning spaces, lifelong learning, mobile learning, mobile technologies, New "Amazon.com" of Higher Education, online learning, online media, online tutoring, open courseware and systems, personalized/customized learning, social learning / networks, social media, technologies for your home, technology (general), telepresence, television, tools, training / L&D, transmedia, trends, ubiquitous learning, user experience (UX), vendors, videoconferencing, virtual field trips, virtual K-12 schools, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, web-based collaboration, webinars, workplace, by Daniel Christian

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:

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Watson ties top players in Jeopardy — “Disrupting Class” phenomenon continues

On 02/15/2011, in Artificial Intelligence/Agents/LLMs/and Related, assistive technologies, disruption, education technology, emerging technologies, game-changing environment, human-computer interaction (HCI), innovation, learner profiles, learning agents, learning ecosystem, personalized/customized learning, the downsides of how people use tech, by Daniel Christian

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:

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Interesting post from Jon Bischke: Learning Graph + Reputation Graph = Massive Disruption in Higher Ed?

On 02/12/2011, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, assessment, career development, cloud-based computing / apps / other cloud-related, competency-based learning/education, disruption, higher education, K-12 related, learner profiles, learning agents, learning ecosystem, workplace, by Daniel Christian

Learning Graph + Reputation Graph = Massive Disruption in Higher Ed? — from Jon Bischke

From DSC:
Jon gets at something similar to my thoughts on cloud-based learner profiles. Jon links to — and also see — Kirsten Winkler’s posting from August 2010:

Also see:

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This is the type of learning engine that could be applied in education for personalized, customized learning (on demand)

On 02/04/2011, in 21st century, analytics, Artificial Intelligence/Agents/LLMs/and Related, emerging technologies, IT in HE, learner profiles, learning agents, personalized/customized learning, trends, by Daniel Christian

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.”

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The Ultimate Study Guide: Wolfram Alpha Launches “Course Assistant” Apps

On 01/18/2011, in 21st century, analytics, computer science, learner profiles, learning agents, learning ecosystem, mathematics, music, personalized/customized learning, programming, science, by Daniel Christian

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.



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How will technologies like AirPlay change education? 24x7x365 access on any device is one possibility..

On 01/17/2011, in 21st century, 24x7x365 access, 3D, A/V -- audio/visual, Apple, Daniel S. Christian, digital audio, digital learning, digital photography, digital storytelling, digital textbooks, digital video, disruption, distance education, e-books, e-readers, education, education reform, education technology, educational games / serious games, elearning, emerging technologies, engagement / engaging students, entrepreneurship, flipping -- inverted learning, future, future of higher education, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), informal learning, innovation, interaction design, interactivity, interface design, internet, IT in HE, K-12 related, learner profiles, learning, learning ecosystem, learning spaces, lifelong learning, media/film, mobile learning, mobile technologies, multimedia, New "Amazon.com" of Higher Education, new media literacies, online learning, online media, online tutoring, play, simulations, social learning / networks, teaching & learning, technologies for your home, technology (general), telepresence, training / L&D, transmedia, ubiquitous learning, user experience (UX), user interface design, videoconferencing, Virtual Reality (VR) / worlds / learning, web-based collaboration, webinars, by Daniel Christian

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

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Towards a new-digital learning ecosystem based on autonomic Web services

On 01/10/2011, in 21st century, 24x7x365 access, cloud-based computing / apps / other cloud-related, digital learning, elearning, innovation, internet, learner profiles, learning ecosystem, online learning, by Daniel Christian

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:

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‘The fundamentals of how children learn’ – ePace

On 12/08/2010, in instructional design, K-12 related, learner profiles, learning, learning ecosystem, memory, student teaching/teacher education, teachers, by Daniel Christian

‘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.

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The Pivot to Digital Learning: 40 Predictions

On 11/19/2010, in 21st century, 24x7x365 access, assessment, blended learning, budgets, change, digital learning, education technology, emerging technologies, game-changing environment, hybrid learning, K-12 related, learner profiles, learning agents, online learning, open courseware and systems, simulations, trends, Virtual Reality (VR) / worlds / learning, by Daniel Christian

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.

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Emerging Interactive Ed. Tech: Classmate Assist and Wayang Outpost

On 10/22/2010, in 21st century, 24x7x365 access, analytics, education technology, emerging technologies, intelligent tutoring, learner profiles, learning agents, mobile learning, online tutoring, by Daniel Christian

Emerging Interactive Ed. Tech: Classmate Assist and Wayang Outpost – Sensors, AI, and Context Awareness for Learning -and Teaching — by Lynn Marentette (emphasis below from DSC)

I’ve been following developments in intelligent tutoring systems for a while, and find it interesting to see how researchers are combining artificial intelligence, learning theory, affective computing, and sensor networks to create applications that might prove to be useful and effective.

The advantage of using intelligent tutoring applications in some cases is that it provides students with additional support and feedback the moment it is needed, something that is difficult for teachers to provide to students in large classrooms. With the increase in use of smartphones and other mobile devices such as the iPad, there is a good chance that this sort of technology will be used to support learning anywhere, anytime.

Although most intelligent tutoring systems are geared for 1-1 computing, I think there are some components that could be tweaked and then transfered to create intelligent “tutoring” systems for collaborative learning. Students like game-based learning, and what could be more fun than playing AND learning with a partner or group of peers? (I plan to revisit the research in this area in an upcoming post.)

Below I’ve highlighted two “intelligent” tutoring systems that incorporate the use of sensors in one form or another to generate information about student learning in a way that simulates what good teachers do every day. The ClassroomAssist application was developed by researchers at Intel, in collaboration with several universities. The Wayang Outpost application was developed by researchers at UMASS, and is aligned with the principles of Universal Design for Learning.

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What are our motivations? What’s the state of our hearts?

On 10/18/2010, in analytics, Artificial Intelligence/Agents/LLMs/and Related, Daniel S. Christian, data related items, ethics, faith, future, intelligent tutoring, learner profiles, learning agents, morals/values, pace of change, by Daniel Christian

We need to be constantly checking and praying about the state of our hearts.

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The State of the Heart

From DSC:
My conscience prompts me to write this…as my recent posting on developing and using web-based learner profiles was not meant to try and ultimately recreate the human brain.  I don’t think that’s possible. Rather, I was hoping that we could use such methods and breakthroughs to promote the personalization, customization, and engagement levels of the learning materials and experiences that we are able to offer each other.

But the posting got me to reflecting on a variety of technological advancements…and I couldn’t help but wonder about the motivations at play sometimes here.

That is, things can begin innocently enough and with excellent intentions.  For example, with stem-cell research, such research can offer understanding on how stem cells might be able to help treat debilitating conditions such as Parkinson’s disease, traumatic spinal injury, or be used for positively affecting other clinical and therapeutic applications. And that’s great! Excellent!

But the problem for me in many of these endeavors lies in the hearts of mankind. Because, who knows where things could go from there…

Will we one day find ourselves being able to create fellow human beings? If so, who determines what those fellow human beings are like? Will we be able to program a robot to continually learn? If so, how will such devices be used by individuals? Corporations? Governments? Nations?

I know…it sounds rather bizarre and far-fetched. But with the rate of technological advancements, I just think we need to take a pulse check on the motivations involved. I’m suspect that the motivations of many folks out there are not in mankind’s ultimate best interest…plus…sometimes these individuals and organizations just don’t have the heart.

Ezekiel 11:19 (NIV)
19 I will give them an undivided heart and put a new spirit in them;
I will remove from them their heart of stone and give them a heart of flesh.

P.S. from DSC:
I need to say that my heart is in constant need of attention as well;
I don’t claim to be perfect…but I also don’t claim to want to play God.

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What if we could apply this same concept towards learning?

On 10/18/2010, in analytics, learner profiles, learning agents, learning ecosystem, personalized/customized learning, by Daniel Christian

About IQNOMY

IQNOMY is an S.a.a.S. (Software as a Service) solution which enables any website to adapt itself to each individual visitor in next to no time.

As a result of the emergence of new media, the distance between institutions and individuals is getting ever smaller. Individuals have gained more and more power and are increasingly using this to demand personal attention and recognition. For companies and organizations, the difficulties associated with holding on to today’s critical consumer are therefore growing.

For a long time now, simply supplying information has not been enough. Customers and consumers are looking for an experience that is presented at the right moment and within the right context. We call this Real-time Interaction Marketing. Central to this discipline is the fact that you as an organization are able to get to know and understand your customers and that you actively learn to support them in discovering new and relevant information. This form of personal and direct one-to-one marketing will play an increasingly important role in commercial markets in the future.

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