Report from Davos: 5 million jobs to be lost by 2020 because of tech advances — from siliconbeat.com by Levi Sumagaysay

Excerpt (emphasis DSC):

A new report predicts a loss of 5 million jobs in the next five years because of technological advances, but don’t blame it all on the robots.

The other culprits: artificial intelligence, 3-D printers and advances in genetics, biotech and more.

The World Economic Forum, which is holding its annual meeting in Davos this week, in its report details the effects of modern technology on the labor market, for better or for worse.  It says “the fourth industrial revolution” will be “more comprehensive and all-encompassing than anything we have ever seen.”

The report actually estimates a loss of 7 million jobs in 15 economies that today have 1.86 billion workers, or about 65 percent of the world’s workforce, but it also expects 2 million new jobs to be created.

 

From DSC:
If this turns out to be true, how should this affect our curricula?  What should we be emphasizing and seeking to build within our students?

 

 

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

 

 

 

Automation potential and wages for US jobs — from McKinsey Global Institute
McKinsey analyzed the detailed work activities for 750+ occupations in the US to estimate the percentage of time that could be automated by adapting currently demonstrated technology.

 

AutomationPotential-McKinsey-Jan2016

 

 

Also see:

  • Four fundamentals of workplace automation — from mckinsey.com by Michael Chui, James Manyika, and Mehdi Miremadi
    As the automation of physical and knowledge work advances, many jobs will be redefined rather than eliminated—at least in the short term.


 

 

Will Lynda.com/LinkedIn.com pursue this powerful vision with an organization like IBM? If so, look out!

From DSC:
Back in July of 2012, I put forth a vision that I called Learning from the Living [Class]Room

 

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

It’s a vision that involves a multitude of technologies — technologies and trends that we continue to see being developed and ones that could easily converge in the not-too-distant future to offer us some powerful opportunities for lifelong learning! 

Consider that in won’t be very long before a learner will be able to reinvent himself/herself throughout their lifetime, for a very affordable price — while taking ala carte courses from some of the best professors, trainers, leaders, and experts throughout the world, all from the comfort of their living room. (Not to mention tapping into streams of content that will be available on such platforms.)

So when I noticed that Lynda.com now has a Roku channel for the big screen, it got my attention.

 

lyndadotcom-roku-channel-dec2015

 

Lets add a few more pieces to the puzzle, given that some other relevant trends are developing quite nicely:

  • tvOS-based apps are now possible — and already there are over 2600 of them and it’s only been a month or so since Apple made this new platform available to the masses
  • Now, let’s add the ability to take courses online via a virtual reality interface — globally, at any time; VR is poised to have some big years in 2016 and 2017!
  • Lynda.com and LinkedIn.com’s fairly recent merger and their developing capabilities to offer micro-credentials, badges, and competency-based education (CBE) — while keeping track of the courses that a learner has taken
  • The need for lifelong learning is now a requirement, as we need to continually reinvent ourselves — especially given the increasing pace of change and as complete industries are impacted (broadsided), almost overnight
  • Big data, algorithms, and artificial intelligence (AI) continue to pick up steam; for example, consider the cognitive computing capabilities being developed in IBM’s Watson — which should be able to deliver personalized digital playlists and likely some level of intelligent tutoring as well
  • Courses could be offered at a fraction of the cost, as MOOC-sized classes could distribute the costs over a greater # of people and back end systems could help grade/assess the students’ work; plus the corporate world continues to use MOOCs to cost-effectively train their employees across the globe (MOOCs would thrive on such a tvOS-based platform, whereby students could watch lectures, demonstrations, and simulations on the big screen and then communicate with each other via their second screens*)
  • As the trends of machine-to-machine communications (M2M) and the Internet of Things (IoT) pick up, relevant courses/modules will likely be instantly presented to people to learn about a particular topic or task.  For example, I purchased a crib and I want to know how to put it together. The chip in the crib communicates to my Smart TV or to my augmented reality glasses/headset, and then a system loads up some multimedia-based training/instructions on how to put it together.
  • Streams of content continue to be developed and offered — via blogs, via channels like Periscope and Meerkat, via social media-based channels, and via other channels — and these streams of multimedia-based content should prove to be highly useful to individual learners as well as for communities of practice

Anyway, these next few years will be packed with change — the pace of which will likely take us by surprise. We need to keep our eyes upward and outward — peering into the horizons rather than looking downwards — doing so should reduce the chance of us getting broadsided!

*It’s also possible that AR and VR will create
a future whereby we only need 1 “screen”

 

The pace has changed significantly and quickly

 

 

Addendum:
After I wrote/published the item above…it was interesting to then see the item below:

IBM opens Watson IoT Global Headquarters, extends power of cognitive computing to a connected world — from finance.yahoo.com
1000 Munich-based experts to drive IoT and industry 4.0 innovation
Launches eight new IoT client experience centers worldwide
Introduces Watson API Services for IoT on the IBM Cloud

Excerpt:

MUNICH, Dec. 15, 2015 /PRNewswire/ — IBM (NYSE: IBM) today announced the opening of its global headquarters for Watson Internet of Things (IoT), launching a series of new offerings, capabilities and ecosystem partners designed to extend the power of cognitive computing to the billions of connected devices, sensors and systems that comprise the IoT.  These new offerings will be available through the IBM Watson IoT Cloud, the company’s global platform for IoT business and developers.

 

 

Imagine what learning could look like w/ the same concepts found in Skreens!


From DSC:
Imagine what learning could look like w/ the same concepts found in the
Skreens kickstarter campaign?  Where you can use your mobile device to direct what you are seeing and interacting with on the larger screen?  Hmmm… very interesting indeed! With applications not only in the home (and on the road), but also in the active classroom, the boardroom, and the training room.


See
Skreens.com
&
Learning from the Living [Class] Room


 

DanielChristian-AVariationOnTheSkreensTheme-9-29-15

 

 

Skreens-Sept2015Kickstarter

 

Skreens2-Sept2015Kickstarter

 

 

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

From DSC:
Some of the phrases and concepts that come to my mind:

  • tvOS-based apps
  • Virtual field trips while chatting or videoconferencing with fellow learners about that experience
  • Virtual tutoring
  • Global learning for K-12, higher ed, the corporate world
  • Web-based collaborations and communications
  • Ubiquitous learning
  • Transmedia
  • Analytics / data mining / web-based learner profiles
  • Communities of practice
  • Lifelong learning
  • 24×7 access
  • Reinvent
  • Staying relevant
  • More choice. More control.
  • Participation.
  • MOOCs — or what they will continue to morph into
  • Second screens
  • Mobile learning — and the ability to quickly tie into your learning networks
  • Ability to contact teachers, professors, trainers, specialists, librarians, tutors and more
  • Language translation
  • Informal and formal learning, blended learning, active learning, self-directed learning
  • The continued convergence of the telephone, the television, and the computer
  • Cloud-based apps for learning
  • Flipping the classroom
  • Homeschooling
  • Streams of content
  • …and more!

 

 

 

 

Addendum:

Check out this picture from Meet the winners of #RobotLaunch2015

Packed house at WilmerHale for the Robot Launch 2015 judging – although 2/3rds of the participants were attending and pitching remotely via video and web conferencing.

 

The Messy Human Core of Reinventing Higher Education Institutions — from educause.edu by Paul LeBlanc

Excerpts:

Discussions of business model reengineering and innovation in higher education tend to focus on program design, technology, data, and marketing challenges and on delivery, organizational, revenue, and outsourcing models—along with the myriad other moving parts of the modern organization. Even though traditionalists and romantics would rather not think about these questions, which they view as a neoliberal “corporatization” of the academy, getting the organizational questions wrong can imperil the academic mission for which all colleges and universities exist—especially in these turbulent times for higher education. Still, for those of us who are thinking hard about innovation and new business models, two critical components are too often missing from our discussions: people and culture.

But here’s the thing: the very best organizational models are doomed to failure if staff talent is not good and if the culture is poor, whereas high performers and the right culture can produce amazing results even with a poor organizational model.

 

The jobs that AI can’t replace — from bbc.com b

Excerpt:

Current advances in robots and other digital technologies are stirring up anxiety among workers and in the media. There is a great deal of fear, for example, that robots will not only destroy existing jobs, but also be better at most or all of the tasks required in the future.

Our research at the Massachusetts Institute of Technology (MIT) has shown that that’s at best a half-truth. While it is true that robots are getting very good at a whole bunch of jobs and tasks, there are still many categories in which humans perform better.

 

Get ready for ‘The Economy Of Things’ — from forbes.com by Veena Pureswaran

Excerpt:

The IoT is not just about smart homes that light up when you arrive or washing machines that text you when the cycle is done. The IoT will turn physical assets into participants in real-time global digital markets. As the Internet of Things continues to turn physical assets into participants in new real-time, digital marketplaces, it’s creating what we describe as a new “Economy of Things.”

These types of assets will become as easily indexed, searched and traded as any online commodity. In fact, such digital marketplaces represent huge economic opportunities for growth and advancement.

 

Who’s the boss? Hitachi looks to promote artificial intelligence — from blogs.wsj.com by Jun Hongo; with thanks to Norma Owen for this resource

Excerpt:

Hitachi Ltd. is looking to promote artificial intelligence to management.

The Japanese electronics maker said it has developed a new artificial intelligence program that will enable robots to deliver instructions to employees based on analyses of big data and the workers’ routines.

“Work efficiency improved by 8% in warehouses with the new artificial intelligence program, compared to those without them,” a Hitachi spokeswoman said. “The program can examine an extremely large amount of data to provide the most efficient instruction, which is impossible for human managers to handle.”

Hitachi last month unveiled a fast-moving two-armed robot which it says may replace humans in performing basic functions like retrieving items in warehouses.

 

Tomorrow’s workers want mobile, but are employers ready? — from domo.com
70 percent of future workforce expect a bring-your-own-device culture; value technology perks nearly five times more than a stocked kitchen

8.19.15_pr_mobile-millennials

Excerpt:

The study, which polled more than 2,000 college students, confirmed what many have assumed: that millennials are a mobile-first generation. Not surprisingly, the survey confirms that millennials spend most of their time accessing the Internet via a mobile device, 46 percent via a mobile phone and 43 percent on a tablet or laptop. Additionally, the report uncovers how much time millennials spend on various mobile activities. More than 97 percent use their phones to send or receive text messages, 96 percent use them to access the Internet, and 68 percent turn to a mobile device to stream music and send or receive pictures.

The findings also affirm how critical it is for companies to adjust to the ever-changing mobile-centric business world in order to attract top talent, which will increasingly be comprised of the millennial generation.

 

‘Transformer in chief’: The new chief digital officer — from mckinsey.com by Tuck Rickards, Kate Smaje, and Vik Sohoni
The CDO role is changing dramatically. Here are the skills today’s world demands.

Excerpt:

In the alphabet soup that is today’s crowded C-suite, few roles attract as much attention as that of the chief digital officer, or CDO. While the position isn’t exactly new, what’s required of the average CDO is. Gone are the days of being responsible for introducing basic digital capabilities and perhaps piloting a handful of initiatives. The CDO is now a “transformer in chief,” charged with coordinating and managing comprehensive changes that address everything from updating how a company works to building out entirely new businesses. And he or she must make progress quickly.

 

 

According to social forecasts in the U.S., U.K. and Australia, the point at which our labor market has more freelancers than full-time employees is between 5 to 10 years away. The growing automation of knowledge work means that, globally, we are expected to lose around 2 billion jobs by 2030. Some of that loss will be softened by new jobs created, but they’re going to be of the low-paid, temporary, variety. Today’s university graduates are facing what has been termed a “high skills/low income” future. The recent rapid growth in “knowledge process outsourcing” — the breaking up of salaried jobs into bid-for tasks, through websites like Elance.com and Freelancer. com — may well be transforming economies of developing countries like India, but it is causing futurists in the west to predict “the end of job.”

What the Future Economy Means for How Kids Learn Today

 

 

The unlikely cities that will power the U.S. economy — from bloomberg.com

Excerpt:

Huntsville is one of a growing number of smaller U.S. cities, far from Silicon Valley, that are seeking to replace dwindling factory jobs by reinventing themselves as tech centers. Across the Midwest, Northeast, and South, mayors and governors are competing to attract tech companies and workers.

 

STEMJobsCities-2015

 

 

 

How freelancers are fighting for their labor rights — from fastcompany.com by Dillon Baker
In the absence of unions, creative freelancers are finding new ways to work collectively.

Excerpt:

“On average, our members are owed over $10,000 in unpaid invoices and spend 36 hours tracking down each missing payment,” says Freelancers Union founder and labor lawyer Sara Horowitz. She explains that nearly half (44%) of their members report issues in getting paid.

But getting paid on time is just one of the hurdles that the growing independent workforce faces.

For example, the Internet has lowered the bar to entry for professional writing and created more opportunities than ever, which on one hand is good news for entry-level writers, but shrunken profits have also hollowed out freelance rates at many publications.

 

4 ways to prepare for the workplace of the future — from fastcompany.com by Erin Palmer
Millennials face a much more volatile workplace than ever. Here are four ways to adapt.

The workplace of the future will be a world of contradictions—which the next generations that enter it will need to master.

Charting a career path in a mercurial workforce means staying focused and adaptive in equal measure. That’s something millennials and their younger generation Z counterparts will need to be able to do more successfully than their elders ever had to.

For now, though, the learning curve still looks steep. A recent study by the online work company Upwork found that despite the millions of millennials looking for work, 53% of hiring managers said that they struggle to find and retain millennial employees.

Today’s leaders have gotten to where they are by adapting to what’s now and what’s next, not blindly clinging to one specific path.

Addendum on 9/15/15:

  • APIs Are The New FTEs — from techcrunch.comby Gaurav Jain A decade ago, a VP of engineering at a startup might have evaluated the resumes of five solid front-end engineers. Five years ago that VP would have looked at GitHub profiles. Today, they are just as likely to evaluate a front-end framework like Ionic, Meteor or Aurelia and build it themselves.

It’s not just front-end options. We’ve seen a massive proliferation in frameworks, libraries and other tools that allow a single talented engineer to do the work of a team.

Companies and products like Heroku, Celery, RabbitMQ, Mandrill, Fastly, Chartio, Chargebee, Shipwire, Docker, Codeship, Rainforest QA, Replicated and Chartbeat have changed the nature of tech development. These are just a small subset of services that replace the work of individuals or entire teams.

WordPress Ate Webmasters
This trend has pros and cons. It will make life harder for those with only mid-tier technical knowledge. Look at what WordPress has done to “webmasters.” The blogging platform turned CMS has colonized the web, and accounts for ~23 percent of Internet traffic.

 

Now we’re talking! One step closer! “The future of TV is apps.” — per Apple’s CEO, Tim Cook

OneStepCloser-DanielChristian-Sept2015

 

From DSC:
We’ll also be seeing the integration of the areas listed below with this type of “TV”-based OS/platform:

  • Artificial Intelligence (AI)
  • Data mining and analytics
  • Learning recommendation engines
  • Digital learning playlists
  • New forms of Human Computer Interfaces (HCI)
  • Intelligent tutoring
  • Social learning / networks
  • Videoconferencing with numerous other learners from across the globe
  • Virtual tutoring, virtual field trips, and virtual schools
  • Online learning to the Nth degree
  • Web-based learner profiles
  • Multimedia (including animations, simulations, and more)
  • Advanced forms of digital storytelling
  • and, most assuredly, more choice & more control.

Competency-based education and much lower cost alternatives could also be possible with this type of learning environment. The key will be to watch — or better yet, to design and create — what becomes of what we’re currently calling the television, and what new affordances/services the “TV” begins to offer us.

 

MoreChoiceMoreControl-DSC

 

 

 

From Apple’s website:

Apple Brings Innovation Back to Television with The All-New Apple TV
The App Store, Siri Remote & tvOS are Coming to Your Living Room

Excerpt:

SAN FRANCISCO — September 9, 2015 — Apple® today announced the all-new Apple TV®, bringing a revolutionary experience to the living room based on apps built for the television. Apps on Apple TV let you choose what to watch and when you watch it. The new Apple TV’s remote features Siri®, so you can search with your voice for TV shows and movies across multiple content providers simultaneously.

The all-new Apple TV is built from the ground up with a new generation of high-performance hardware and introduces an intuitive and fun user interface using the Siri Remote™. Apple TV runs the all-new tvOS™ operating system, based on Apple’s iOS, enabling millions of iOS developers to create innovative new apps and games specifically for Apple TV and deliver them directly to users through the new Apple TV App Store™.

tvOS is the new operating system for Apple TV, and the tvOS SDK provides tools and APIs for developers to create amazing experiences for the living room the same way they created a global app phenomenon for iPhone® and iPad®. The new, more powerful Apple TV features the Apple-designed A8 chip for even better performance so developers can build engaging games and custom content apps for the TV. tvOS supports key iOS technologies including Metal™, for detailed graphics, complex visual effects and Game Center, to play and share games with friends.

 

Addendum on 9/11/15:

 

The Free Two-Year College Movement — A Special/Mini Feature from evoLLLution.com (where the LLL stands for lifelong learning)

Excerpt:

Given the importance of postsecondary credentials to succeeding in today’s labor market, access to and completion of two- and four-year degrees has become a high priority for higher education leaders, government officials and employers. In 2014, Tennessee launched the Tennessee Promise, which granted Tennesseans tuition-free access to two-year colleges in the state. Oregon, in 2015, passed a similar piece of legislation and President Obama made America’s College Promise—a national roll-out of this style of program—a hallmark of his State of the Union address.

While the program goes to great lengths to create unprecedented levels of access to higher education, the focus must turn to how colleges will manage life in this new reality and how the higher education marketplace will have to shift to adjust to this new level of access. This Feature focuses on those elements of the free two-year college movement.

 

From DSC:
From the original Kalamazoo Promise (which was generously/graciously put forth by a group of anonymous donors), many such “promise” programs have been developed — affecting programs all the way up to President Obama’s development of America’s College Promise. 

Colleges and universities would be wise to keep this potential trend on their radars, while preparing plans for what they would do if this trend picks up steam.

 

TheKzooPromise

 

 

White House: Innovation in Higher Education — from elearnspace.org by George Siemens

Excerpt from George’s posting (emphasis DSC):

A few weeks ago, I received an invitation to the White House. The invitation was somewhat cryptic, but basically stated that the focus on the meeting was on quality and innovation.

2. Higher education generally has no clue about what’s brewing in the marketplace as a whole. The change pressures that exist now are not ones that the existing higher education model can ignore. The trends – competency-based learning, unbundling, startups & capital inflow, new pedagogical models, technology, etc – will change higher education dramatically.

3. No one knows what HE is becoming. Forget the think tanks and the consultants and the keynote speakers. No one knows how these trends will track or what the university will look like in the future. This unknowability stems from HE being a complex systems with many interacting elements. We can’t yet see how these will connect and inter-relate going forward. The best strategy in a time of uncertainty is not to seek or force the way forward, but to enter a cycle of experimentation. The Cynefin Framework provides the best guidance that I’ve seen on how to function in our current context.

7. Expect a future of far greater corporate involvement in HE. VC funds are flowing aggressively and these funders are also targeting policy change at local, state, and national levels. We aren’t used to this level of lobbying and faculty is unprepared to respond to this. Expect it. Your next faculty meeting will involve a new student success system, a personalized learning system, an analytics system, a new integrated bootcamp model, new competency software, new cloud-based computing systems, and so on. Expect it. It’s coming.

8. Expect M & A activities in higher education. I fully anticipate some combination of partnering with companies like General Assembly, creation of in-house bootcamps, or outright acquisitions by innovative universities.

 

Higher Education is moving from a 4 year relationship to students to a 40 year relationship.

 

From DSC:

[First of all, if you read this George, thanks for sharing your experiences, reflections, and recommendations from your recent trip to the White House. I/we appreciate it.]

I can’t agree with — and emphasize — George’s second point (above) strongly enough. Too often, I think we have our heads and eyes pointed downward, busy in our work; we fail to look up and see what’s happening all around us. We neglect to see the trends that are occurring and that will likely have an impact on us. If we were doing this, as we should be doing, several of our priorities would instantly change and there would be a much stronger sense of urgency in identifying some new directions/strategic initiatives/experiments within institutions of traditional higher education.

I don’t see our institutions competing with our typical/normal peer groups of the past. More and more, I think that we are competing with the new models, startups, and alternatives to traditional higher education. Yes, traditional institutions of higher education can respond and change — some have been doing so already. But how many of our institutions within the overall learning ecosystems are not experimenting? How many of our institutions have their heads buried in the sand, waiting for the good old days to return? Those days are not going to return. They’re gone. That ride is over. We need to wake up and adapt before the alternatives gain momentum (perhaps even borrowing some strategies from the alternatives, hmm?).

This is why I’m big on experimentation and the implementation of TrimTab Groups within higher education.

Finally, you may not like the word “disruption” and you may think it’s overused. But I don’t think we’ve seen anything yet.

As George warns in his posting, there are dramatic changes to higher education coming down the pike. George is not one to hype things up — he is a level-headed deep thinker. I’d suggest that we listen to what he’s saying to us via his experiences and reflections from participating in his recent meetings/conversations held at the White House.

 

RealEstate-HigherEd-DanielSChristian11-1-13

 

TheTrimtabInHigherEducation-DanielChristian

 

What might our learning ecosystems look like by 2025? [Christian]

This posting can also be seen out at evoLLLution.com (where LLL stands for lifelong learning):

DanielChristian-evoLLLutionDotComArticle-7-31-15

 

From DSC:
What might our learning ecosystems look like by 2025?

In the future, learning “channels” will offer more choice, more control.  They will be far more sophisticated than what we have today.

 

MoreChoiceMoreControl-DSC

 

That said, what the most important aspects of online course design end up being 10 years from now depends upon what types of “channels” I think there will be and what might be offered via those channels. By channels, I mean forms, methods, and avenues of learning that a person could pursue and use. In 2015, some example channels might be:

  • Attending a community college, a college or a university to obtain a degree
  • Obtaining informal learning during an internship
  • Using social media such as Twitter or LinkedIn
  • Reading blogs, books, periodicals, etc.

In 2025, there will likely be new and powerful channels for learning that will be enabled by innovative forms of communications along with new software, hardware, technologies, and other advancements. For examples, one could easily imagine:

  • That the trajectory of deep learning and artificial intelligence will continue, opening up new methods of how we might learn in the future
  • That augmented and virtual reality will allow for mobile learning to the Nth degree
  • That the trend of Competency Based Education (CBE) and microcredentials may be catapulted into the mainstream via the use of big data-related affordances

Due to time and space limitations, I’ll focus here on the more formal learning channels that will likely be available online in 2025. In that environment, I think we’ll continue to see different needs and demands – thus we’ll still need a menu of options. However, the learning menu of 2025 will be more personalized, powerful, responsive, sophisticated, flexible, granular, modularized, and mobile.

 


Highly responsive, career-focused track


One part of the menu of options will focus on addressing the demand for more career-focused information and learning that is available online (24×7). Even in 2015, with the U.S. government saying that 40% of today’s workers now have ‘contingent’ jobs and others saying that percentage will continue climbing to 50% or more, people will be forced to learn quickly in order to stay marketable.  Also, the 1/2 lives of information may not last very long, especially if we continue on our current trajectory of exponential change (vs. linear change).

However, keeping up with that pace of change is currently proving to be out of reach for most institutions of higher education, especially given the current state of accreditation and governance structures throughout higher education as well as how our current teaching and learning environment is set up (i.e., the use of credit hours, 4 year degrees, etc.).  By 2025, accreditation will have been forced to change to allow for alternative forms of learning and for methods of obtaining credentials. Organizations that offer channels with a more vocational bent to them will need to be extremely responsive, as they attempt to offer up-to-date, highly-relevant information that will immediately help people be more employable and marketable. Being nimble will be the name of the game in this arena. Streams of content will be especially important here. There may not be enough time to merit creating formal, sophisticated courses on many career-focused topics.

 

StreamsOfContent-DSC

 

With streams of content, the key value provided by institutions will be to curate the most relevant, effective, reliable, up-to-date content…so one doesn’t have to drink from the Internet’s firehose of information. Such streams of content will also offer constant potential, game-changing scenarios and will provide a pulse check on a variety of trends that could affect an industry. Social-based learning will be key here, as learners contribute to each other’s learning. Subject Matter Experts (SMEs) will need to be knowledgeable facilitators of learning; but given the pace of change, true experts will be rare indeed.

Microcredentials, nanodegrees, competency-based education, and learning from one’s living room will be standard channels in 2025.  Each person may have a web-based learner profile by then and the use of big data will keep that profile up-to-date regarding what any given individual has been learning about and what skills they have mastered.

For example, even currently in 2015, a company called StackUp creates their StackUp Report to add to one’s resume or grades, asserting that their services can give “employers and schools new metrics to evaluate your passion, interests, and intellectual curiosity.” Stackup captures, categorizes, and scores everything you read and study online. So they can track your engagement on a given website, for example, and then score the time spent doing so. This type of information can then provide insights into the time you spend learning.

Project teams and employers could create digital playlists that prospective employees or contractors will have to advance through; and such teams and employers will be watching to see how the learners perform in proving their competencies.

However, not all learning will be in the fast lane and many people won’t want all of their learning to be constantly in the high gears. In fact, the same learner could be pursuing avenues in multiple tracks, traveling through their learning-related journeys at multiple speeds.

 


The more traditional liberal arts track


To address these varied learning preferences, another part of the menu will focus on channels that don’t need to change as frequently.  The focus here won’t be on quickly-moving streams of content, but the course designers in this track can take a bit more time to offer far more sophisticated options and activities that people will enjoy going through.

Along these lines, some areas of the liberal arts* will fit in nicely here.

*Speaking of the liberal arts, a brief but important tangent needs to be addressed, for strategic purposes. While the following statement will likely be highly controversial, I’m going to say it anyway.  Online learning could be the very thing that saves the liberal arts.

Why do I say this? Because as the price of higher education continues to increase, the dynamics and expectations of learners continue to change. As the prices continue to increase, so do peoples’ expectations and perspectives. So it may turn out that people are willing to pay a dollar range that ends up being a fraction of today’s prices. But such greatly reduced prices won’t likely be available in face-to-face environments, as offering these types of learning environment is expensive. However, such discounted prices can and could be offered via online-based environments. So, much to the chagrin of many in academia, online learning could be the very thing that provides the type of learning, growth, and some of the experiences that liberal arts programs have been about for centuries. Online learning can offer a lifelong supply of the liberal arts.

But I digress…
By 2025, a Subject Matter Expert (SME) will be able to offer excellent, engaging courses chocked full of the use of:

  • Engaging story/narrative
  • Powerful collaboration and communication tools
  • Sophisticated tracking and reporting
  • Personalized learning, tech-enabled scaffolding, and digital learning playlists
  • Game elements or even, in some cases, multiplayer games
  • Highly interactive digital videos with built-in learning activities
  • Transmedia-based outlets and channels
  • Mobile-based learning using AR, VR, real-world assignments, objects, and events
  • …and more.

However, such courses won’t be able to be created by one person. Their sophistication will require a team of specialists – and likely a list of vendors, algorithms, and/or open source-based tools – to design and deliver this type of learning track.

 


Final reflections


The marketplaces involving education-related content and technologies will likely look different. There could be marketplaces for algorithms as well as for very granular learning modules. In fact, it could be that modularization will be huge by 2025, allowing digital learning playlists to be built by an SME, a Provost, and/or a Dean (in addition to the aforementioned employer or project team).  Any assistance that may be required by a learner will be provided either via technology (likely via an Artificial Intelligence (AI)-enabled resource) and/or via a SME.

We will likely either have moved away from using Learning Management Systems (LMSs) or those LMSs will allow for access to far larger, integrated learning ecosystems.

Functionality wise, collaboration tools will still be important, but they might be mind-blowing to us living in 2015.  For example, holographic-based communications could easily be commonplace by 2025. Where tools like IBM’s Watson, Microsoft’s Cortana, Google’s Deepmind, and Apple’s Siri end up in our future learning ecosystems is hard to tell, but will likely be there. New forms of Human Computer Interaction (HCI) such as Augmented Reality (AR) and Virtual Reality (VR) will likely be mainstream by 2025.

While the exact menu of learning options is unclear, what is clear is that change is here today and will likely be here tomorrow. Those willing to experiment, to adapt, and to change have a far greater likelihood of surviving and thriving in our future learning ecosystems.

 

Beyond Automation — from hbr.org by Thomas Davenport & Julia Kirby

Excerpt (emphasis DSC):

After hearing of a recent Oxford University study on advancing automation and its potential to displace workers, Yuh-Mei Hutt, of Tallahassee, Florida, wrote, “The idea that half of today’s jobs may vanish has changed my view of my children’s future.” Hutt was reacting not only as a mother; she heads a business and occasionally blogs about emerging technologies. Familiar as she is with the upside of computerization, the downside looms large. “How will they compete against AI?” she asked. “How will they compete against a much older and experienced workforce vying for even fewer positions?”

Suddenly, it seems, people in all walks of life are becoming very concerned about advancing automation. And they should be: Unless we find as many tasks to give humans as we find to take away from them, all the social and psychological ills of joblessness will grow, from economic recession to youth unemployment to individual crises of identity (*DC insert: See my footnote below). That’s especially true now that automation is coming to knowledge work, in the form of artificial intelligence. Knowledge work—which we’ll define loosely as work that is more mental than manual, involves consequential decision making, and has traditionally required a college education—accounts for a large proportion of jobs in today’s mature economies. It is the high ground to which humanity has retreated as machines have taken over less cognitively challenging work. But in the very foreseeable future, as the Gartner analyst Nigel Rayner says, “many of the things executives do today will be automated.”

 

3-eras-automation-davenport-kirby-jun2015

 

From DSC:
* These are the types of concerns I was trying to get at when I asked the question:  Which street do we care more about, Wall Street or Main Street?

If the we make decisions solely on the basis of the bottom lines and with an eye solely on shareholders, we could have some major issues to deal with. We must consider the effects of automation on Main Street, not just on Wall Street.

 

From DSC:
The phenomenon I’m thinking about are:

  1. We in higher education are so peer-oriented that we don’t lead.  That is, if our peers would do X, then we could do X.  But if they aren’t doing it, we can’t or shouldn’t do it either.  As Barnds says in his article below, “We continue to play a game of chicken as we wait for a so-called peer to do what we need to do.”

  2. We are so peer-oriented that we don’t see that if we don’t lead and care far less about what our peers are doing, we risk being in a situation where we’re simply shifting chairs around, and doing so aboard the Titanic.

  3. Why do I say Titanic? Because if we don’t address the growing chasm between what the corporate world wants/expects and what learners/families expect, we risk creating a void that WILL BE filled by another completely new system or systems. There WILL BE disruption if we don’t address the gaps. People will find other routes.

  4. Folks in leadership positions within higher education have no choice but to deal with risk.  If you don’t do anything, you are courting an enormous amount of risk. You are running a very dangerous experiment and your institution will likely be a shadow of what it once was (if it’s even able to remain open at all in the future). But if you change something — such as lowering the price of obtaining a degree — you also face risk. So risk comes with the job; there’s no escaping it.  But just don’t make the mistake of thinking there’s no risk in pursuing the status quo.

 


 

The Best Pricing Model: Transparency — from insidehighered.com by W. Kent Barnds

Excerpts:

The current funding model for higher education is broken and we can only blame ourselves for creating a norm of bargain basement pricing for those families in the know, opaque business models and unexplained annual increases based more on competitors’ current price tag rather than our actual campus needs. We continue to play a game of chicken as we wait for a so-called peer to do what we need to do.

There are significant risks involved in changing how we discuss pricing, cost and value. Private colleges, as tuition-dependent institutions, are hesitant to try something new, especially if all of our peers stick with the currently murky language and approaches to cost and price.

As an industry, we need to work at getting it right for our students, which includes lowering actual costs for students and maintaining sufficient revenue to deliver on our mission.

Further, colleges need to clearly describe their business model to their campus constituents, students and parents of current students and delineate how the annual operation is funded. Finally, leaders need to acknowledge that percentage increases in tuition costs cannot continue in perpetuity. At some point we will price ourselves out of the market and into bankruptcy.

Seldom is there a clear statement that all students will pay at least $XXXX less to attend the next year. I realize this is pretty tricky — saying that the education offered is less expensive than the previous year — but this is exactly what’s missing and why many of the efforts so far seem to miss the mark.

 

What Learners Really Want — from clomedia.com by Todd Tauber
Listen to your learners: They want speed, diversity and adaptability in internal development programs.

Excerpt (emphasis DSC):

Everyone knows most learning happens beyond the classroom walls and outside learning management systems. But new research shows just how much — and the data are startling.

In the past year, learning technology company Degreed conducted two separate surveys that show workers spend four to five times more time on self-directed learning than on internal or external learning offerings. They invest more than 14 hours a month, on average, learning on their own but just two to three hours on employer-provided learning.

Those numbers should inform how and why development needs to evolve — urgently.

Learners want easier and faster access to answers. Degreed found almost 70 percent of workers say the first thing they do when they need to learn something for their jobs is Google it, then read or watch what they find. About 42 percent look for a live or online course, but they do it on their own. Fewer than 12 percent turn to their learning organization first.

Learning and development people do pretty much the same thing. They are “Googling it” too, and not just because it’s expedient. By a 3.5 to 1 margin, people believe self-directed learning is more effective in helping them succeed at work than taking part in company sponsored learning. These are mature adults. They have a good idea what they need.

Learners want to leverage the whole learning ecosystem. Informal learning initiatives should be valued because workers believe as much as 60 percent of the knowledge and skills they use on the job comes from informal learning.

 

 

From DSC:
I agree with Todd that this is where learning ecosystems come in.  Employees are trying to use a variety of tools and methods to tap into streams of up-do-date content.

To me, the charter of those involved with corporate training/development should be to help employees learn about the current set of tools available to them and how to use such tools. Then do the necessary research to give employees a place to begin using those tools — such as whom should a particular group of employees should follow on Twitter or Scoop.It, which websites/blogs are especially well done and applicable to their particular positions and area of expertise, etc.

The pace of change has changed and at times, it’s moving too fast to create formal learning materials.  We need to tap into streams of content. Perhaps those in corporate U’s could even be helping to curate and create the most beneficial streams of content for their employees in key strategic areas — and doing so using small, bite-sized chunks. They could recommend — and to some degree even provide — the platforms employees could use for self-directed learning. This self-directed learning wouldn’t be all alone though — each employee would be building and interacting with folks within their own Personal Learning Network (PLN); each person’s learning ecosystem would likely look different from others’ learning ecosystems.

 

 

streams-of-content-blue-overlay

 

 

Also relevant/see:

 

 

 

 
 
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