data mining

Reflections on a solid webinar “In the future, the whole world will be a classroom” [Gorbis]

On 07/03/2013, in 21st century, analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, Augmented Reality (AR), corporate / business world, corporate universities / corporate training, Daniel S. Christian, data related items, education reform, education technology, future, future of higher education, game-changing environment, global / globalization, higher education, innovation, internet, K-12 related, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, mobile learning, new business models, social learning / networks, streams of content, student teaching/teacher education, student-related, trends, ubiquitous learning, web-based collaboration, workplace, by Daniel Christian

In the future, the whole world will be a classroom — from fastcoexist.com by Marina Gorbis

. .

From DSC:
What Marina is asserting is what I’m seeing as well. That is, we are between two massive but different means of obtaining an education/learning (throughout our lifetimes I might add). What she’s saying is also captured in the following graphic:

Also see:

A long-overdue technological revolution is at last under way — from economist.com
.
Catching on at last — from economist.com
New technology is poised to disrupt America’s schools, and then the world’s
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School’s out for summer: Rethinking education for the 21st century — from allthingsd.com by Naveen Jain

Tagged with: 21st century • AI • analytics • assessment • augmented reality • Connectivism • corporate / business world • corporate training / universities • Daniel S. Christian • data mining • education reform • educational technology • future • future of higher education • game-changing environment • Global learning • higher education • innovation • internet • K-12 • Mobile learning • new business models • online learning • personal learning networks (PLNs) • social learning • streams of content • student teaching/teacher education • student-related • trends • ubiquitous learning • web-based collaboration • workplace

Forecasting Higher Education [Infographic from onlinedegrees.org]

On 05/29/2013, in analytics, data related items, education technology, educational games / serious games, emerging technologies, flipping -- inverted learning, future of higher education, game-changing environment, mobile learning, MOOCs -- Massive Open Online Courses, tablets, by Daniel Christian

Tagged with: analytics • augmented reality • data mining • educational gaming • educational technology • emerging technologies • flipping -- inverted learning • future of higher education • higher education • Mobile learning • MOOCs • tablets

IBM Watson at your service: New Watson breakthrough transforms how brands engage today’s connected consumers — from IBM.com
Delivered from the cloud and into the hands of mobile consumers, Watson provides faster, personalized service for smarter commerce; top brands tap Watson’s ability to crunch big data and provide fast, personalized advice for empowered consumers

Also see:

How cognitive technologies can help transform the way companies and consumers connect — from asmarterplanet.com by Manoj Saxena

Watson-MOOCs-NewTypesCollaboration-DChristian-2-14-13

IBM’s Watson tries to learn…everything — from spectrum.ieee.org by Steven Cherry
What happens when Watson learns a million databases? RPI students and faculty hope to find out.

Tagged with: 21st century • AI • analytics • business • corporate / business world • cost of getting an education • Daniel S. Christian • data mining • game-changing environment • IBM • learning from the living [class] room • machine-to-machine communications • Mobile learning • MOOCs • tools • vendors

Charting technology’s new directions: A conversation with MIT’s Erik Brynjolfsson [mckinsey.com]

On 05/10/2013, in 21st century, analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, career development, corporate / business world, data related items, economics, emerging technologies, global / globalization, productivity / tips and tricks, robotics, society, workplace, by Daniel Christian

Charting technology’s new directions: A conversation with MIT’s Erik Brynjolfsson — from mckinsey.com
A leading expert explores the new relationship between man and machine and the challenges that emerge when innovation is decoupled from growth in jobs and incomes.

Tagged with: 21st century • AI • analytics • career development • corporate / business world • data mining • economics/business • emerging technologies • global • innovation • productivity • robotics • society • workplace

The emergence of Chief Digital Officers [Berkman]

On 05/09/2013, in 21st century, analytics, career development, corporate / business world, data related items, marketing/social marketing, social media, strategy, workplace, by Daniel Christian

The emergence of Chief Digital Officers — from sloanreview.mit.edu by Robert Berkman
As social and other digital technologies shift responsibilities in the C-suite, businesses are creating a new position, the chief digital officer or CDO, to focus their digital strategy. This is the fifth and final piece in our series on how social business is changing power dynamics in the C-suite.

Also see:

The coming era of ‘on-demand’ marketing — from mckinsey.com by Peter Dahlström and David Edelman
Emerging technologies are poised to personalize the consumer experience radically—in real time and almost everywhere. It’s not too early to prepare.

Tagged with: 21st century • analytics • career development • change • corporate / business world • data mining • marketing/social marketing • social media • strategy • workplace

My reflections on “MOOCs of Hazard” – a well-thought out, balanced article by Andrew Delbanco

On 04/10/2013, in 21st century, 24x7x365 access, A/V -- audio/visual, analytics, animation, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Bring your own device (BYOD), cloud-based computing / apps / other cloud-related, collaboration, computer science, consortiums, content development, aggregation, repositories, convergence, cost of getting a degree, creativity, Daniel S. Christian, data related items, design, digital learning, digital storytelling, disruption, education technology, educational games / serious games, elearning, emerging technologies, engagement / engaging students, experimentation, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), instructional design, intelligent systems, intelligent tutoring, interaction design, interactivity, interface design, internet, learning agents, learning ecosystem, Learning from the Living [Class] Room, machine-to-machine communications, media/film, mirroring and/or multiple devices, mobile learning, MOOCs -- Massive Open Online Courses, multi-touch, multimedia, Near Field Communication (NFC), New "Amazon.com" of Higher Education, new media literacies, online learning, online tutoring, personalized/customized learning, programming, real-world assignments, reinvent, second screen apps, simulations, smart/connected TV, social learning / networks, storytelling, streams of content, user experience (UX), user interface design, using teams, Virtual Reality (VR) / worlds / learning, virtual tutoring, by Daniel Christian

From DSC: Below are my reflections on MOOCs of Hazard — from newrepublic.com by Andrew Delbanco — who asks: Will online education dampen the college experience? Yes. Will it be worth it? Well…

.
While I’m not sure that I agree with the idea that online education will dampen the college experience — and while I could point to some amazing capabilities that online education brings to the table in terms of true global exchanges — I’ll instead focus my comments on the following items:

1) Massively Open Online Courses (MOOCs) are recent experiments — ones that will continue to change/morph into something else.
They are half-baked at best, but they should not be taken lightly. Christensen, Horn, Johnson are spot on with their theories of disruption here, especially as they relate to innovations occurring within the virtual/digital realm. For example, the technologies behind IBM’s Watson could be mixed into the list of ingredients that will be used to develop MOOCs in the future. It would be a very powerful, effective MOOC indeed if you could get the following parties/functionalities to the table:

IBM — to provide Watson like auto-curation/filtering capabilities, artificial intelligence (AI) capabilities, as well as data mining/learning analytics expertise, joined by
Several highly-creative firms from the film/media/novel/storytelling industry, who would be further joined by
Experts from Human Computer Interaction (HCI)/user interface/user experience design teams, who would be further joined by
Programmers and interaction specialists from educational gaming endeavors (and from those who can design simulations), joined by
Instructional designers, joined by
The appropriate Subject Matter Experts who can be reached by the students as necessary, joined by
Those skilled in research and library services, joined by
Legal experts to assist with copyright issues, joined by
Other specialists in mobile learning, 3D, web development, database administration, animation, graphic design, musicians, etc.

It won’t be long before this type of powerful team gets pulled together — from some organizations(s) with deep pockets — and the content is interacted with and presented to us within our living rooms via connected/Smart TVs and via second screen devices/applications.

2) The benefits of MOOCs

For colleges/universities:
- MOOCs offer some serious marketing horsepower (rather than sound pedagogical tools, at this point in time at least)
- They are forcing higher ed to become much more innovative
- They provide great opportunities to build one’s personalized learning networks, as they bring forth those colleagues who are interested in topic A, B, or C
- They move us closer to team-based content creation and delivery
  .
For students:
- They offer a much less expensive option to go exploring disciplines for themselves…to see if they enjoy (and/or are gifted in) topic A, B or C
- They provide great opportunities to build one’s personalized learning networks, as they bring forth those colleagues who are interested in topic A, B, or C
- They provide a chance to see what it’s like to learn about something in a digital/virtual manner

3) The drawbacks of MOOCs:

MOOCs are not nearly the same thing as what has come to be known as “online learning” — at least in the higher ed industry. MOOCs do not yet offer what more “traditional” (can I say that?) online learning provides: Far more support and pedagogical/instructional design, instructor presence and dialog, student academic support services, advising, more student-to-student and student-to-faculty interaction, etc.
.
MOOCs are like drinking from a firehose — there are too many blogs/RSS feeds, twitter feeds, websites, and other resources to review.

4) It would be wise for all of us to be involved with such experiments and have at least a subset of one’s college or university become much more nimble/responsive.

Also see:

Delbanco’s interview in The Hedgehog Review

Tagged with: 1:1 • 21st century • 24x7x365 • A/V • adjunct faculty • AI • analytics • Bring your own device (BYOD) • cloud-based computing / apps / other cloud-related • computer science • creativity • cross-disciplinary assignments • customized learning • Daniel S. Christian • data mining • design • digital storytelling • faculty • graphic design • instructional design • interaction design • interface design • Learning Agents • learning from the living [class] room • Media/film • mirroring / multiple devices • multi-touch • multimedia • online learning • online tutoring • personalized learning • programming • second screen apps • simulations • Smart/Connected TV • Using teams • vendors • virtual reality / worlds / learning • virtual tutoring • visual design • Walmart of Education • web design

Also see:

Watchitoo, Pearson LearningStudio offer real-time HD video chat option for online courses — from thejournal.com by Caitlin Moriarity

Excerpt:

Watchitoo and Pearson eCollege have teamed up to add an integrated collaboration solution, including real-time video chat, to the Pearson LearningStudio SaaS online education platform.

Tagged with: 21st century • 24x7x365 • A/V • analytics • data mining • digital learning • digital storytelling • Global learning • second screen apps • Smart/Connected TV • streams of content • vendors

Tagged with: career development • data mining

Tagged with: business • data mining • future • strategy

Infographic: Learning Analytics 101, how data could change everything [OpenColleges]

On 03/15/2013, in analytics, data related items, teachers, visualizing information, by Daniel Christian

Infographic: Learning Analytics 101, how data could change everything — from wiredacademic.com and Open Colleges

Also see:

Grades 2.0: How learning analytics are changing the teacher’s role — from edudemic.com by Andrianes Pinantoan

Tagged with: analytics • data mining • roles • teachers • visualizing information

IBM CEO predicts three ways technology will transform the future of business [Goudreau]

On 03/11/2013, in 21st century, analytics, business, corporate / business world, data related items, future, social learning / networks, technology (general), by Daniel Christian

IBM CEO predicts three ways technology will transform the future of business — from forbes.com by Jenna Goudreau

Virginia Rometty

Data analytics will revolutionize decision-making
The social network will drive value
Consumer segments will cede to the individual
.

“The greatest contribution of this shift,” Rometty concluded,
“is that it will force every entity to become an authentic organization.”

Tagged with: 21st century • analytics • business • corporate / business world • data mining • future • social networking • technology (general)

Adaptive machine learning for real-time streaming [Microsoft Research]

On 03/08/2013, in analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Daniel S. Christian, data related items, intelligent systems, intelligent tutoring, New "Amazon.com" of Higher Education, by Daniel Christian

The above item is one of several items to check out at this slideshow from networkworld.com.

Also see:

25 of today’s coolest network and research projects

Addendum on 9/25/13 — with thanks to Mr. Olivier Nano (Microsoft) & Mr. Sathyan Munirathinam (Micron Technology)

The following resources are part of the overall project:

JStreams, our event processing framework:
http://research.microsoft.com/apps/pubs/default.aspx?id=194910
Infer.Net, the ML toolkit we are using:
http://research.microsoft.com/en-us/um/cambridge/projects/infernet/
KAP, the EU project related to that topic:
http://www.kap-project.eu/

Tagged with: AI • analytics • Daniel S. Christian • data mining • etmooc • intelligent systems • intelligent tutoring • Walmart of Education

Reflections on “Harvard’s plan to dominate higher education” [Uldrich]

On 03/06/2013, in 21st century, 24x7x365 access, analytics, Apple, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, corporate universities / corporate training, cost of getting a degree, Daniel S. Christian, data related items, New "Amazon.com" of Higher Education, online learning, vendors, vision/possibilities, by Daniel Christian

Harvard’s plan to dominate higher education — from jumpthecurve.net by Jack Uldrich

Excerpt (emphasis DSC):

Critics of online education and MOOCs may delude themselves by thinking an online course can never offer the same level of intimacy or interaction as a traditional college course but they are missing a key component of the MOOC movement: analytics.

What Harvard and other MOOC providers understand is that every time a student interacts with the material on an online course, she provides the institution feedback that allows it to learn a little more about how that student learns. Armed with this information they can then offer future courses designed not only to meet that individual’s specific educational needs but which are delivered in a manner personally tailored to his or her unique learning style.

…

Imagine Harvard charges a $100 accrediting fee to every student who takes one of its free courses. If one million students—students who formerly populated state universities and colleges—opt instead to take just one accredited course a year from Harvard that amounts to $100 million a year.

From DSC:
Readers of this blog will know that I think MOOCs are in an iterative process of morphing into something else, something new. MOOCs are half-baked at this point. I say that because it’s like drinking from a firehose (at least as of early March 2013). But what Jack Uldrich points out is what I was trying to get at in the graphic below. That is, if technologies that can capture, filter, curate, provide relevant information based upon analytics, one doesn’t have to drink from a fire hose anymore…the drinking fountain now becomes a better metaphor.

Watson-MOOCs-NewTypesCollaboration-DChristian-2-14-13

On a potentially related note — and a veeeerrrryyyy interesting question asked at this article out at Chief Learning Officer:

Apple keeps a tight lid on what goes on in its learning organization, Apple University. Why?
From Apple’s Secret Training Ground

Either one of these forces could create what I’ve been calling “The Forthcoming Walmart of Education” (since 2008). As Smart/Connected TVs proliferate, Apple’s developing infrastructure and ecosystem could easily fill the bill.

Tagged with: AI • analytics • Apple • corporate training / universities • cost of getting an education • Daniel S. Christian • data mining • etmooc • future of higher education • higher education • learning from the living [class] room • MOOCs • online learning • vendors • vision • Walmart of Education

Beyond the buzz, where are MOOCs really going? [Horn & Christensen]

On 02/22/2013, in analytics, data related items, disruption, MOOCs -- Massive Open Online Courses, new business models, personalized/customized learning, by Daniel Christian

Beyond the buzz, where are MOOCs really going? — from wired.com by Michael Horn and Clayton Christensen

Excerpt:

MOOCs can be much more than marketing and edutainment. We believe they are likely to evolve into a “scale business”: one that relies on the technology and data backbone of the medium to optimize and individualize learning opportunities for millions of students.

This is very different than simply putting a video of a professor lecturing online.

Tagged with: analytics • customized learning • data mining • disruption • etmooc • experimentation • MOOCs • new business models in he • personalized learning

Game-changing reflections re: “College branding: The tipping point” [Dooley]

On 02/10/2013, in 21st century, 24x7x365 access, analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business side of he, change, changing business models, CMS/LMS, colleges, community colleges, consortiums, cost of getting a degree, creativity, dangers of the status quo, Daniel S. Christian, data related items, digital learning, disruption, education reform, education technology, elearning, experimentation, faculty, funding / grants, future of higher education, game-changing environment, higher education, innovation, intelligent systems, intelligent tutoring, internet, learning agents, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, marketplaces, MOOCs -- Massive Open Online Courses, multimedia, new business models, online learning, online media, online tutoring, pace of change, reinvent, staying relevant, streams of content, surviving, universities, using teams, by Daniel Christian

College branding: The tipping point — from forbes.com by Roger Dooley

Excerpt:

Change is coming to this market. While there are multiple issues of increasing importance to schools, two stand out as major game-changers.

From DSC:
Important notes for the boards throughout higher education to consider:

Your institution can’t increase tuition by one dime next year. If you do, you will become more and more vulnerable to being disrupted. Instead, work very hard to go in the exact opposite direction. Find ways to discount tuition by 50% or more — that is, if you want to stay in business.

Sounds like the scene in Apollo 13, doesn’t it? It is. (i.e. as Tom Hanks character is trying to get back to Earth and has very little to do it with. The engineers back in the United States are called upon to “do the impossible.”)

Some possibilities:

Pick your business partners and begin pooling resources and forming stronger consortia. Aim to reduce operating expenses, share the production of high-quality/interactive online courses, and create new streams of income. Experimentation will be key.

Work with IBM, Apple, Knewton and the like to create/integrate artificial intelligence into your LMS/CMS in order to handle 80% of the questions/learning issues. (Most likely, the future of MOOCs involves this very sort of thing.)

Find ways to create shorter courses/modules and offer them via online-based exchanges/marketplaces. But something’s bothering me with this one..perhaps we won’t have the time to develop high-quality, interactive, multimedia-based courses…are things moving too fast?

Find ways to develop and offer subscription-based streams of content

Tagged with: 21st century • 24x7x365 • AI • analytics • business side of he • change • CMS/LMS • colleges • community college • consortiums • Content aggregration • content repositories • cost of getting an education • dangers of the status quo • Daniel S. Christian • data mining • digital learning • education reform • etmooc • faculty • future of higher education • game-changing environment • higher education • intelligent systems • intelligent tutoring • Learning Agents • learning ecosystem • learning from the living [class] room • MOOCs • multimedia • new business models in he • online learning • online media • online tutoring • pace of change • perfect storm • pooling resources • reinvent • staying relevant • streams of content • surviving • universities • Using teams • Walmart of Education

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