My green screen setup –from learninginhand.com by Tony Vincent

Excerpt:

I’m often asked about the set up I use to film my videos. Here’s a 360 spherical photo that I’ve annotated. Feel free to scroll and zoom around to check out my setup.

 

TonyVincent-GreenScreenSetup-April2016

 

 

UniversityLearningStore-April2016

From DSC:

  • Will more institutions of higher education be joining/contributing courses to this type of University Learning Store? I’ve often wondered about the place of consortia in higher ed…perhaps this will be one of the ways that institutions pool their resources.  (i.e., creating and contributing content, tapping into content that’s been aggregated)
    .
  • How will corporate training / L&D groups view his sort of development? Will it be helpful to them?
    .
  • Will the University Learning Store, like Lynda.com, continually expand the list of topics that they are offering/addressing?
    .
  • Will these types of efforts morph into what I’ve been calling Learning from the Living [Class] Room? (i.e., learning on demand across a lifetime; employing web-based learner profiles, cognitive computing, social networking/learning while offering the ability to instantly form or join communities of practice) Another way of asking this question is this: “As technology-enabled collaborations increase what’s possible, what’s to keep courses from being ported to tvOS-based apps for on demand learning?”

For example, fast forward a few years from the technologies found in “The Video Call Center” and one could imagine some powerful means of collaborating from one’s living room:

VideoCallCenter-April2016

 

 

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

 

 

Also see:

Micro-credentials offer universities an opportunity to bridge skill gaps — from centerdigitaled.com by Tanya Roscorla
By working with employers, universities can help students of all ages learn skills that industry leaders need.

Excerpt:

Higher education leaders are pondering how to make bite-sized, low-cost learning opportunities available to students in different ways.

Working adults who change jobs and careers frequently often don’t need to go through an entire degree program to learn different skills. However, they do need a flexible way to earn credentials that are recognized by employers and that demonstrate their ability to apply the skills they learn, said David Schejbal, dean of continuing education, outreach and e-learning at University of Wisconsin-Extension. University micro-credentials can help fill that role.

Six universities have been working with employers to find out what skills they need their employees to have, including the Georgia Institute of Technology, University of California Davis Extension, University of California Irvine Extension, University of Wisconsin-Extension, University of Washington and University of California, Los Angeles.

As a result of collaborating with industry, these universities created short courses and certification programs for the University Learning Store that launched last week. These courses fall into three categories: power skills, technical skills and career advancement skills. Power skills used to be called “soft skills” and include communication, collaboration and critical thinking.

 

 

 

From DSC:
Reading the first item from today’s Learning TRENDS — from Elliott Masie — it appears that employees’ learning ecosystems are morphing…big time. More and more, employees are producing content and/or finding it outside the internal Learning & Development groups.

Having worked in Fortune 500 companies for 15 years, I experienced first hand the need to keep growing and learning — and that the employee ultimately needs to own their own learning.  It’s in the organizations’ and employees’ best interests to have employees tap into multiple streams of content in order to keep learning and growing. The L&D Groups are still very important, but given the pace of change — and disruption — one simply can’t afford to have someone else be in charge of one’s learning.


 

Excerpt from Learning TRENDS  #911 (emphasis DSC)

Learner as Content Producer? More of the learning consumed by learners has been created, compiled or produced by sources other than internal Learning & Development groups. We have been surveying a significant shift in the origin of content used by employees of our organizations. Increasingly, we are seeing these as the source of content:

  • Search Found Content.
  • Public Content Collections – TED Talks, YouTube, Others.
  • Peer Created Content or Collaborations.
  • Curated Content by Learners.
  • 3rd Party Content from External Providers.

The “meta” trend is that organization is building less and less of the content in a formal designer mode. In fact, the Learner is often becoming a “Learning Producer”, through their own assembly and selection of content from a wider and wider set of resources. It will be interesting to track how learners expand and hone their skills of being their own “Producers” – and how learning functions leverage this to help curate a more effective and efficient set of learning choices for the rest of the enterprise.

 

 

StreamsOfContent-DSC

 

 

 

 

Big Data in 2016: Cloudy, with a chance of disappointment, disillusionment, and disruption — from insidebigdata.com by Daniel Gutierrez

Excerpt:

Expect to see many organizations become deeply disillusioned by Big Data in 2016 because they had hoped to get different results from their business, without using Big Data to actually change how they operated. Those who used Big Data to make substantive changes to how they operate will dramatically out-compete those who used Big Data to produce merely-more-detailed reports, but little actual change.

 

 

 

Young entrepreneurs are applying the power of big data to the real world — from entrepreneur.com by John Pilmer

Excerpt:

Two 15-year-old students from Business Technology Early College High School (BTECH) in Queens, New York dazzled me with big-picture thinking about the social implications of harnessing big data while protecting our future. The teens shared very entrepreneurial thoughts of how to deliver genomic big data solutions without diminishing individual self-worth.

One young man used the example of applying genomic big data to people to create a “Superman” in the future. Yet, he noted that if everyone were Superman, no one would be.  In other words, no one would be unique, stand out from the crowd. Wow! That’s big picture thinking that reminds me of a science fiction novel.

 

 

 

The data science industry: a look at the key roles — from dataconomy.com by Darya Niknamian

Here is the infographic from that article:

 

 

The art of data science: The skills you need and how to get them — from kdnuggets.com by Joseph Blue
Learn, how to turn the deluge of data into the gold by algorithms, feature engineering, reasoning out business value and ultimately building a data driven organization.

 

 

 

The 22 skills of a Data Scientist…  — from dataconomy.com by Matt Reaney

 

 

 


From DSC:
The items above made me think of trying to excerpt meaning from big data…which made me think of programming…which lead me to think of algorithms…which lead me to think of artificial intelligence (AI).  Then, when I was thinking about AI, I wondered…

  • How might AI and algorithms play into the future of MOOCs — especially in regards to providing automated assessments, scoring, and grading…?

Hmmm….could be helpful…though knowledgeable experts/humans will likely still be needed. But such technologies could help with some of the heavy (and often time-consuming) lifting here.


 

 

 

Topic: Big data meets job finding; targeted training programs brought to you by LinkedIn.com

See:

How LinkedIn is helping create economic opportunity in Colorado and Phoenix

Excerpts:

LinkedIn’s vision is to create economic opportunity for every member of the global workforce. Notice that I said every member, not just white collar workers with four-year college degrees. Everyone.

To achieve our vision, we’re building the world’s first Economic Graph — a digital map of the global economy that includes every member of the global workforce and their skills, all open jobs, all employers, and all educational institutions. We’ve been sharing labor market insights from the Economic Graph with dozens of policymakers across the globe to help create greater economic opportunity.

For example, we’ve been sharing Economic Graph insights with policymakers in Colorado and Phoenix. We realized the combination of our Economic Graph insights and the LinkedIn platform can have an even greater economic impact. So last June we joined Skillful (formerly Rework America Connected) — a Markle Foundation initiative to help workers in Colorado and Phoenix with high school diplomas and some or no college education acquire new skills to advance their careers.

That’s why we developed Training Finder — a new product that helps job seekers acquire new skills and advance their careers. It shows them relevant training programs in their area; which programs are affiliated with employers; whether or not they’re accredited; the program’s employment rate, cost, and duration; the skills the program will teach them; the jobs they’ll be qualified for when they complete the program; and the estimated salary. These insights will help them choose the training program that will teach them the skills they need to get the job they want.

 

 

TrainingFinder-LinkedInDotCom-March2016

 

 

From DSC:
This is the kind of thing I was trying to get at in this earlier posting.

 

 
 

17 predictions about the future of big data everyone should read — from forbes.com by Bernard Marr

Excerpt:

Almost everyone can agree that big data has taken the business world by storm, but what’s next?  Will data continue to grow?  What technologies will develop around it? Or will big data become a relic as quickly as the next trend — cognitive technology? fast data? — appears on the horizon.

Let’s look at some of the predictions from the foremost experts in the field, and how likely they are to come to pass.

 

Machine learning is a top strategic trend for 2016.

 

More companies will appoint a chief data officer.

 

The data-as-a-service business model is on the horizon.

 

Algorithm markets will also emerge.

 

 

What are the learning-related ramifications of technologies that provide virtual personal assistants? [Christian]

Everything Siri can do for you and your Apple TV — from imore.com by Lory Gill

Excerpt:

When you ask Siri what it can search for, it will respond, “I can search by title, people (actor, director, character name, guest star, producer, or writer), ratings (like PG or TV-G), reviews (such as best or worst), dates (like 2012 or the 80s), age (like kid-friendly or teen), seasons, episodes, and studio. And of course, I can search by genre.”

But, what else can Siri do?

Siri has a fairly robust search feature with multi-layer filtering.

While you are watching a movie or TV show, or listening to music, you can get a little extra help from Siri. It’s like having a buddy sitting next to you — but they don’t shush you when you ask a question.

You can search for content in the Music app on Apple TV by artist, album, or song title. With a little know-how, you can also turn Siri into your personal deejay.

While you may normally look to your smartphone for your weather predictions, Siri can be just as helpful about the conditions around the world as your local weatherman or app. All you have to do is ask.

 

From DSC:
Following this trajectory out a bit into the future — and in light of significant developments that continue to occur with artificial intelligence, the development and use of algorithms, the potential use of web-based learner profiles (think LinkedIn.com/Lynda.com, MOOCs, the use of nanodegrees), second screen-based apps, and the like — one has to wonder:

“What are the ramifications of this for learning-related applications?!”

 

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

 

 

 

 

From DSC:
Don’t rule out tvOS for some powerful learning experiences / new affordances.  The convergence of the television, the telephone, and the computer continues…and is now coming into your home. Trainers, faculty members, teachers, developers, and others will want to keep an eye on this space. The opportunities are enormous, especially as second screen-based apps and new forms of human computer interfaces (HCI) unfold.

The following items come to my mind:

Online-based communities of practice. Virtual reality, virtual tutoring. Intelligent systems. Artificial intelligence. Global learning. 24×7, lifelong learning. Career development. Flipping the classroom. Homeschooling.  Learning hubs. Online learning. Virtual schools. Webinars on steroids.

With the reach of these powerful technologies (that continue to develop), I would recommend trying to stay informed on what’s happening in the world of tvOS-based apps in the future. Towards that end, below are some items that might help.


 

techtalk-apple-feb2016

 

 

 

Apple releases Apple TV Tech Talks video series for building better tvOS apps — by AppleInsider Staff

Excerpt:

Apple on Wednesday released to developers a series of videos focusing on Apple TV and its tvOS operating system, offering a detailed look at the underlying SDK, resources and best practices associated with coding for the platform.

 

Also see:

 

TVTechTalk-fe3b2016

 

 

Addendum on 2/26/16:

  • Apple Adds Multiple New App Categories to tvOS App Store — from macrumors.com by Juli Clover
    Excerpt:
    [On 2/25/16] Apple updated the tvOS App Store to add several new app categories to make it easier for Apple TV 4 owners to find content on their devices. As outlined by AfterPad, a site that showcases Apple TV apps, the new categories are rolling out to Apple TV users and may not be available to everyone just yet. Some users may only see the new categories under Purchased Apps until the rollout is complete.

 

 

EdTech: These four b-schools are exploring virtual reality with Oculus, Google, Samsung — from businessbecause.com by Seb Murray
Elite schools place bets on next big innovation in online learning

Excerpt:

The immersive potential of virtual reality has Silicon Valley’s finest pouring vast sums of money into headsets and other whizzy innovations.

Google, Apple and Samsung are betting that these sci-fi concepts will become a staple of everyday life, with potential uses in gaming, advertising, marketing and increasingly, education.

The hype surrounding VR and the more complex augmented reality, is not lost on universities and business schools, who are eyeing its early pioneers and conducting secretive trials of head-mounted VR displays.

Four of the world’s top-ranked schools have told BusinessBecause they are exploring VR in tie-ups with Oculus, Samsung, and Google, as they place bets on the next big innovation in online learning.

 

 

Accenture-TechVision2016

 

Example slides from their
SlideShare presentation:

 

Accenture-TechVision2016-2

Accenture-TechVision2016-3

Accenture-TechVision2016-4

Accenture-TechVision2016-5-Abilityto-learn

and from the PDF:

Accenture-TechVision2016-6-PaceOfChange

 

accenture: Technology Vision 2016 | People First: The Remedy to Digital Culture Shock — from accenture.com

Excerpt:

Winners in the digital age do much more than complete a technology checklist. They know their success hinges on people. Understanding changing customer needs and behaviors is, of course, hugely important. But the real deciding factor in the digital era will be the ability to evolve corporate culture. That means not simply taking advantage of emerging technologies but, critically, embracing the new business strategies that those technologies drive.

You can’t solve this challenge just by consuming more and more technology. Nor, as some fear, by replacing humans with machines. Instead, enterprises must focus on enabling people – consumers, employees and ecosystem partners – to do more with technology. That demands a digital corporate culture enabling people to continuously adapt, learn, create new solutions, drive relentless change, and disrupt the status quo. In an age where tech is grabbing the limelight, true leaders will, in fact, put people first.

 

 

But the real deciding factor in the era of intelligence will be a company’s ability to evolve its corporate culture to not only take advantage of emerging technologies, but also, critically, embrace the new business strategies that those technologies drive.

 

 

From DSC:
Are we preparing our students to be ready for — and successful in — this changing workplace?  Are adults ready for this changing workplace? It appears that some are, and some are left reeling by the pace of change.

What is our role as educators in K-12? In higher ed?

What are the roles of trainers and/or mentors in the marketplace?

How does one help another person to learn quickly?

 

 

 

 

——–

Addendum:

 

e-180-creative-peer-learning-jan2016

 

 

e-180-creative-peer-learning2-jan2016

 

From their website:

For Events & Conferences
Much more than a conference app, E-180 works with your team to transform your event into a peer-learning community, using both our matchmaking technology and the onsite presence of our professional matchmakers. Nothing is left to chance, ensuring that your attendees meet and share knowledge with the right people.

 

 

Microlearning: The e-Learning method taking off around the world — from educators.co.nz by Catherine Knowles

Excerpt:

Technology is disrupting traditional learning bringing new methods and tools into educational institutions and businesses.

Microlearning, for instance, has displayed great potential for growth, according to Association Learning + Technology 2016 – a report published by Tagoras and sponsored by YM Learning.

The report looks at the use of technology to enable and enhance learning in the continuing education and professional development market and provides insight into how the role technology plays in learning has and will evolve.

 

In fact, among five emerging types of learning (microlearning, massive open online courses (MOOCs), flipped classes, gamified learning, and microcredentials), microlearning shows the highest rate of adoption – and arguably the greatest potential for growth.

 

 

 

Podcasting is perfect for people with big ideas. Here’s how to do it — from by Todd Landman
Surprisingly few academics have learned how to podcast – but it’s a great way to reach a wider audience

Excerpt:

In the face of conflict in the Middle East, the flow of refugees to Europe and the violence associated with Islamic State and other militants, there has never been a more important time to talk about human rights. And talk about them is what I do – not in a lecture hall or at conferences with academics, but in a podcast series. Let me explain why.

I have worked as a political scientist for 25 years, focusing on human rights problems such as the struggle for citizenship rights in Latin America and the relationship between inequality and human rights violations.

I am part of a wide network of people dedicated to producing sound evidence on human rights, and my work has been communicated through articles, books and reports. But I am limited in my ability to reach the people I would most like to engage and influence – those who do not have an academic understanding of human rights but might benefit from finding out about it.

There is a new breed of academic who understands this and is committed to bridging the gap between academia and the real world. Many blog, actively seek media coverage of their research and appear on radio and television to shed light on the issues of the day.

 

 

From DSC:
Some of the tools that Landman mentioned were:

e-camm-for-skype-jan2016

  • A MacBook Pro and its free audio editing software GarageBand (for Mac OS X and for iOS)
  • A lapel mic used with his iPhone

 

garageband-jan2016

 

Some other tools to consider:

 

 

From DSC:
The above articles point to the idea — and the need — of creating “streams of content” — something that I wish more professors, teachers, staff, administrators, trainers, and instructional designers would create. Blogs, podcasts, and the use of Twitter come to my mind. Such channels could really help build others’ learning ecosystems.

Many professors and academics — folks who have so much information to share with the world — often produce works just for other academics in their discipline to review/check out. Such bubbles don’t have the impact that would occur if professors created streams of content for members of society to check out and learn from. Such mechanisms would also hopefully strip away some of the more academic sounding language and would get to the point.

 

 

streams-of-content-blue-overlay

 

 

 

 

Also see:

podcastscratch-june2015

 

Brain Based Learning and Neuroscience – What the Research Says! — from willatworklearning.com by Will Thalheimer, PhD

Excerpts (emphasis DSC):

The world of learning and development is on the cusp of change. One of the most promising—and prominent—paradigms comes from neuroscience. Go to any conference today in the workplace learning field and there are numerous sessions on neuroscience and brain-based learning. Vendors sing praises to neuroscience. Articles abound. Blog posts proliferate.

But where are we on the science? Have we gone too far? Is this us, the field of workplace learning, once again speeding headlong into a field of fad and fantasy? Or are we spot-on to see incredible promise in bringing neuroscience wisdom to bear on learning practice? In this article, I will describe where we are with neuroscience and learning—answering that question as it relates to this point in time—in January of 2016.

Taken together, these conclusions are balanced between the promise of neuroscience and the healthy skepticism of scientists. Note however, that when these researchers talk about the benefits of neuroscience for learning, they see neuroscience applications as happening in the future (perhaps the near future). They do NOT claim that neuroscience has already created a body of knowledge that is applicable to learning and education.

Conclusion
The field of workplace learning—and the wider education field—have fallen under the spell of neuroscience (aka brain-science) recommendations. Unfortunately, neuroscience has not yet created a body of proven recommendations. While offering great promise for the future, as of this writing—in January 2016—most learning professionals would be better off relying on proven learning recommendations from sources like Brown, Roediger, and McDaniel’s book Make It Stick; by Benedict Carey’s book How We Learn; and by Julie Dirksen’s book Design for How People Learn.

As learning professionals, we must be more skeptical of neuroscience claims. As research and real-world experience has shown, such claims can persuade us toward ineffective learning designs and unscrupulous vendors and consultants.

Our trade associations and industry thought leaders need to take a stand as well. Instead of promoting neuroscience claims, they ought to voice a healthy skepticism.

 

 

Also see:

 

 

 

Is the next Uber coming your way? — from ibm.com IBM’s Global C-suite Study

Excerpt:

This report is IBM’s second study of the entire C-suite and the eighteenth in the ongoing series of CxO studies developed by the IBM Institute for Business Value. We now have data from more than 28,000 interviews stretching back to 2003. Our latest study draws on input from:

Chief Executive Officers (CEOs): 818
Chief Finance Officers (CFOs): 643
Chief Human Resources Officers (CHROs): 601
Chief Information Officers (CIOs): 1,805
Chief Marketing Officers (CMOs): 723
Chief Operating Officers (COOs): 657

Innovations that harness new technologies or business models, or exploit old technologies in new ways, are emerging on an almost daily basis. And the most disruptive enterprises don’t gradually displace the incumbents; they reshape entire industries, swiftly obliterating whatever stands in their way. So how are C-suite executives (CxOs) tackling the threat of competition from companies in other sectors or with very different business models? Our latest study explores what they think the future holds, how they’re identifying new trends and how they’re positioning their organizations to prosper in the “age of disruption.”

 

NextUberComingYourWay-IBM-2015

 

From DSC:
Is looking out for the next Uber just something that corporations/businesses should be doing? Isn’t this true for us as individuals as well? That is, aren’t our jobs/positions vulnerable to disruption as well? As our organizations go, so we often go.  As such, should we leave the pulse checking to others or should we be developing these types of skills ourselves? That is, shouldn’t our own gazes be set on the horizons so that we aren’t broadsided as individuals? 

Given the pace of change and given that more of us are freelancing, this is why I think that we need more such training within K-12 and higher education — programs that focus on pulse checking a variety of landscapes. Futurism is not gazing into some magic ball; such skills can be useful today.

 

 

DanielChristian-MonitoringTrends

 

 

 
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