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.

 

The Internet of Things will give rise to the algorithm economy — from blogs.gartner.com by Peter Sondergaard

Excerpt:

It’s hard to avoid. Almost every CEO’s conversation about how IT is driving innovation inevitably comes back to the potential of big data. But data is inherently dumb. It doesn’t actually do anything unless you know how to use it. And big data is even harder to monetize due to the sheer complexity of it.

Data alone is not going to be the catalyst for the next wave of IT-driven innovation. The next digital gold rush will be focused on how you do something with data, not just what you do with it. This is the promise of the algorithm economy.

Algorithms are already all around us. Consider the driver-less car. Google’s proprietary algorithm is the connective tissue that combines the software, data, sensors and physical asset together into a true leap forward in transportation. Consider high frequency trading. It’s a trader’s unique algorithm that drives each decision that generates higher return than their competitors, not the data that it accesses. And while we’re talking about Google, what makes it one of the most valuable brands in the world? It isn’t data; it’s their most closely guarded secret, their algorithms.

A brave new world of opportunities
Where does this ultimately lead? Software that thinks. Software that does. Cognitive software that drives autonomous machine-to-machine interactions. Dare I say artificial intelligence? I dare. I did.

 

From DSC:
Besides Training/L&D departments and those developing strategy & vision within the corporate world…Provosts Offices take note. Computer Science programs take note. Interested students take note. Those who want to take a right turn in their careers take note.

 

Recording of yesterday’s event/keynote

 

 

AppleWatch-9-9-14

 

 

 

Apple-iPhone6-9-9-14

 

 

Beyond the Major Apple Headlines, 11 Things You Need to Know — from blogs.wsj.com by Brian R. Fitzgerald

 

iPhone6-Apple-9-9-14

 

The Apple Watch: Everything You Need to Know — from businessweek.com by Joshua Brustein

 

Apple Watch: Here Are the Apps to Expect  — from blogs.wsj.com by Nathan Olivarez-Giles

 

Apple in Focus After Debut of iPhone 6, Smart Watch, Apple Pay — from finance.yahoo.com by Zacks Research Staff

 

Tim Cook tells USA TODAY: ‘This is epic’ — from usatoday.com by Marco della Cava

 

Apple unveils smartwatch, bets on wearable devices — from finance.yahoo.com by Michael Liedtke and Anick Jesdanun

 

Apple Watch: Coming to a Classroom Near You? — from chronicle.com by Rebecca Koenig

 

applewatch

 

Does Studying Fine Art = Unemployment? Introducing LinkedIn’s Field of Study Explorer — from LinkedIn.com by Kathy Hwang

Excerpt:

[On July 28, 2014], we are pleased to announce a new product – Field of Study Explorer – designed to help students like Candice explore the wide range of careers LinkedIn members have pursued based on what they studied in school.

So let’s explore the validity of this assumption: studying fine art = unemployment by looking at the careers of members who studied Fine & Studio Arts at Universities around the world. Are they all starving artists who live in their parents’ basements?

 

 

LinkedInDotCom-July2014-FieldofStudyExplorer

 

 

Also see:

The New Rankings? — from insidehighered.com by Charlie Tyson

Excerpt:

Who majored in Slovak language and literature? At least 14 IBM employees, according to LinkedIn.

Late last month LinkedIn unveiled a “field of study explorer.” Enter a field of study – even one as obscure in the U.S. as Slovak – and you’ll see which companies Slovak majors on LinkedIn work for, which fields they work in and where they went to college. You can also search by college, by industry and by location. You can winnow down, if you desire, to find the employee who majored in Slovak at the Open University and worked in Britain after graduation.

 

 
 

From DSC:
Sometimes, the advice of the old economy no longer applies.

Growing up, our family had a wonderful neighbor named Dr. John Evans.  He had worked for a large, successful company called Upjohn (in the pharmaceutical industry) for most, if not all, of his career. I used to mow his lawn.  I remember him giving me some lemonade or pop on those hot summer days here in Michigan. On one such occasion, I recall him saying to me, “Danny…you just need to find a good company and hop on board. You can ride that train for a long time.”

That strategy worked very well for him.  He had been with Upjohn for many years before retiring from that corporation.  So that advice was spot on — for the economy and job market that he had known and participated in.

So, upon graduating from college, I tried to implement that strategy.  My first job out of college was with a company called Baxter Healthcare (a large corporation that had just merged with American Hospital Supply and began laying off numerous people, as many jobs were then duplicated). Anyway, that employment lasted all of 4 years before all employees in our division of Baxter had to move to Florida or New York or lose their jobs.  As I didn’t want to move at the time, I was forced to find another job. (I’m quite sure many people out there who were working in the U.S. in the 80’s and 90’s — the decades of some serious merger and acquisition activity — can relate to such experiences.)

Anyway, these memories came back to me when I recently read a sentence from Sarah Kendzior’s Nov 2013 piece entitled Surviving the post-employment economy.  That sentence said,  “If you are 35 or younger – and quite often, older – the advice of the old economy does not apply to you.” 

Wow. That rang true with me.  It surely resonated with my experience.

So, as the growth of contingent workers continues, I’d like to join many others in putting some new advice out there.  My advice to folks — especially to you younger people — would be to take courses, subscribe to the RSS feeds of relevant blogs, follow people on Twitter, and build your personal learning network (at least in part) around the topics of:

  • Entrepreneurship
  • Running your own business
  • Creativity
  • Being able to adapt, pivot
  • Experimentation
  • Freelancing
  • Disruption
  • Learning how to learn
  • Lifelong learning
  • Identifying and following your passions
  • Futurism — and learning how to pulse check a variety of landscapes

That’s my 2 cents for now.

 

 
RiseofTheReplicants-FTdotcomMarch2014

 

Excerpts:

If Daniel Nadler is right, a generation of college graduates with well-paid positions as junior researchers and analysts in the banking industry should be worried about their jobs. Very worried.

Mr Nadler’s start-up, staffed with ex-Google engineers and backed partly by money from Google’s venture capital arm, is trying to put them out of work.

The threat to jobs stretches beyond the white-collar world. Advances in artificial intelligence (AI) also make possible more versatile robots capable of taking over many types of manual work. “It’s going to decimate jobs at the low end,” predicts Jerry Kaplan, a Silicon Valley entrepreneur who teaches a class about AI at Stanford University. Like others working in the field, he says he is surprised by the speed at which the new technologies are moving out of the research labs.

 

From DSC:
After reading the above article — and seeing presentations about these trends (example) — I have some major questions to ask:

  • What changes do those of us working within higher education need to make due to these shifts? How should we modify our curricula? Which skills need to be reinforced/developed?
  • What changes do Learning & Development groups and Training Departments need to make within the corporate world?
  • How should we be developing our K-12 students to deal with such a volatile workplace?
  • What changes do adult learners need to make to stay marketable/employable? How can they reinvent themselves (and know what that reinvention should look like)?
  • How can each of us know if our job is next on the chopping block and if it is, what should we do about it?
  • What kind of future do we want?

These changes are for real. The work of Erik Brynjolfsson and Andrew McAfee further addresses some of these trends and changes. See:

 

TheSecondMachineAge-2014

 

 

 

 

Addendum:

AICouldAutomateJobsChicagoTrib-March52014

 

 

 

Also see:

 

Bill Gates Interview Robots

 

Excerpt:

Microsoft cofounder Bill Gates isn’t going to sugarcoat things: The increasing power of automation technology is going to put a lot of people out of work. Business Insider reports that Gates gave a talk at the American Enterprise Institute think tank in Washington, DC this week and said that both governments and businesses need to start preparing for a future where lots of people will be put out of work by software and robots.

 

Also see:

 

 

From DSC:
Consider Noisetrade.com (a resource graciously relayed to me by Mr. Michael Haan at Calvin College)

 

NoiseTrade-12-16-13

 

Using this site/service, people can download music for free and donate to the artists if they want to (and I think they should).  The WIN for the artist is more visibility and the ability to create/expand a fan base.

This site/service is another example of people representing themselves…of selling what they have to offer…of people representing their own brands.

Add to this the continuing trend towards more freelancing, and I can’t help but wonder…

  • How should these sorts of things impact what we teach?
  • How can we model this for our students? (i.e. reinventing oneself, selling oneself, communicating with others, staying relevant, and more)

 

 

Also see:

Excerpt:

As work becomes more flexible and communication more mobile, the office is turning into an increasingly complex and even abstract concept. As we look to the future, we have to ask: Will the workplace be on-site at our employer’s property, or on-demand at a collaborative space? Or will work simply be a mindset independent of place or time of day?

The answer is all three, and more.

 

“Learning in the Living [Class] Room” — as explained by Daniel Christian [Campus Technology]

Learning from the Living [Class] Room  — from Campus Technology by Daniel Christian and Mary Grush; with a huge thanks also going out to Mr. Steven Niedzielski (@Marketing4pt0) and to Mr. Sam Beckett (@SamJohnBeck) for their assistance and some of the graphics used in making these videos.

From DSC:
These 4 short videos explain what I’m trying to relay with a vision I’m entitling, Learning from the Living [Class] Room.  I’ve been pulse checking a variety of areas for years now, and the pieces of this vision continue to come into fruition.  This is what I see Massive Open Online Courses (MOOCs) morphing into (though there may be other directions/offshoots that they go in as well).

After watching these videos, I think you will see why I think we must move to a teambased approach.

(It looks like the production folks for Campus Technology had to scale things way back in terms of video quality to insure an overall better performance for the digitally-based magazine.) 


To watch these videos in a higher resolution, please use these links:


  1. What do you mean by “the living [class] room”?
  2. Why consider this now?
  3. What are some examples of apps and tech for “the living [class] room”?
  4. What skill sets will be needed to make “the living [class] room” a reality?

 

 


Alternatively, these videos can be found at:


 

DanielSChristianLearningFromTheLivingClassRoom-CampusTechnologyNovember2013

.

 

 

The science behind transmedia storytelling & why you need to be across it now — infographic from marketingmag.com.au

Excerpt/description of infographic:

Transmedia storytelling is a marketing buzzword that will be around for a while – and for good reason. Brand storytellers are being forced to create new transmedia experiences by integrating dynamic content, often co-created through audience participation.

Getty Images has released a new infographic explaining the effective transmedia storytelling can offer the consumer if done correctly.

The infographic details how a transmedia story can lead to stronger emotional connections to brands and the ability for businesses to engage with new or jaded audiences to send brand loyalty soaring via this new media experience.

For this reason, Getty’s infographic explains why becoming effective storytellers in the transmedia marketplace is something that should be top of mind for marketers, advertisers and business decision makers.

.

From DSC:
After reviewing the infographic, I wondered…how might some of this relate to education? Engaging students? Fostering creativity in a variety of areas/disciplines?

 

 

Here’s why the TV apps economy will be a $14 billion business [Wolf]

Here’s why the TV apps economy will be a $14 billion business — from forbes.com by Michael Wolf

 

.

Excerpt:

According to new research published this week, the TV apps economy is forecasted to reach $14 billion by 2017.

Take for example today’s news that Apple will begin selling video advertisements served by iAd through iTunes Radio loaded on Apple TVs. This is only the first move for Apple in this space, and others like Samsung and Google  are already investing heavily in connected TV app advertising.

 

From DSC:
Why post this? Because:

  • It lays out future directions/careers related to Programming, Computer Science, Data Mining, Analytics, Marketing, Telecommunications, User Experience Design, Digital and Transmedia Storytelling, and more
    .
  • It leads to “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

 

From DSC:
And if this does take off,
$14 billion won’t begin to capture the profits from this new industry.

It will be far larger than that.

 

Relevant addendum on 6/27/13:

  • The future of cinema is on demand — from bitrebels.com by Ben Warner (From DSC: Having just paid $32 for 4 people — 3 of whom were kids — to see Monsters U, I believe it!)
    .

future-of-cinema-on-demand

Via: [The Verge] Image Credits: [Venture Beat] [Home Theater]

 

 

My thoughts on the future of higher education -- March 2013 by Daniel Christian

 

Also, the PDF file of this article is here.

.

From DSC:
Though the title of this article I wrote says 10 years, it may be more or less (and given the pace of change, I would lean towards sooner rather than later).  

If you haven’t read Christensen’s/Horn’s/Johnson’s work re: disruption — such as Disrupting Class and/or The Innovator’s Dilemma — it would be worth your time to do so. They are right on the mark. What they have been asserting is happening within higher education.  The article briefly addresses face-to-face learning and hybrid learning as well.  Readers of this blog will know that I have been pressing for higher ed to reinvent itself in order to stay relevant. There is danger in the status quo, especially when the conversation continues to move away from traditional higher education.

See other perspectives out at evoLLLution.com as well.

 

 

Princeton Review founder’s startup Noodle acquires Lore to build an education marketplace around search — from techcrunch.com by Rip Empson

Excerpt:

Last summer, we told you about the launch of Noodle Education, a startup co-founded and led by John Katzman, perhaps better known as a co-founder of The Princeton Review and 2U (formerly 2tor). The startup is on a mission to bring a Netflix-style recommendation engine to the fragmented and noisy world of education. Not unlike Google, Noodle Education wants to organize the world’s learning platforms and aggregate the huge amount of educational info out their on the Web into a learning-centric, personalized search and recommendation engine.

The Master List of the Collaborative Economy: Rent and Trade Everything — from web-strategist.com by Jeremiah Owyang

Excerpt:

[Collaborative Economy Defined:  A digital system that manages the coordination of buyers and sellers who offer or exchange used products and remnant services]

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


 

© 2024 | Daniel Christian