The Higher Education Technology Paradox — from edtechmagazine.com by Hank Lucas
The academic rewards system will continue to stymie technology adoption unless higher ed administrators promote organizational change.

Excerpts:

The number one paradox in higher education is that technology is both transforming and disrupting universities around the world. Institutions that adapt to the technology and become content producers will survive and flourish; those confined to being content consumers will struggle to stay in business.

What does it take for a university to develop the kind of materials described above? Obviously, it requires money, but more than money it needs a motivated and committed faculty. The reward system in most institutions and the inherent conservatism of faculty members create a huge barrier to adopting new technologies for education. (Many faculty members are in denial that the technology can improve student learning and that it will be widely implemented.)

How does the reward system impact technology adoption?

  • Assistant professors at research universities are rewarded for publishing scholarly articles and books, which they must do to be granted tenure. They cannot risk the time needed to master the new technologies.
  • Tenured faculty can largely do what they want, and by the time they have received tenure have fallen into a rhythm of research and teaching; once tenured they are expected to undertake more service to the institution. Where does the time come from to adopt a new approach to the classroom?
  • Non-tenure track instructors are employed because they are good, or at least adequate, teachers. Adopting new technology in the classroom is risky and could result in lower student evaluations, which in turn could affect their employment status.

 


From DSC:
This is one of the reasons why I believe that a new organization will arise in the future that uses a solid, team-based approach from day 1. They will have teams of experts from a variety of fields/disciplines — and they will have the types of incentive systems that one would expect to see in startup companies. They will value innovation and will see to it that ideas can be grown and supported.

Anybody come to mind? How about Amazon.com? 

Also, faculty members — like all of us — have a limited amount of time and energy. The current workplace has loaded up faculty members’ job plates — they don’t have much time to experiment with new technologies. Also — again, like all of us — they have a variety of skills and interests. Many times, those skills and interest don’t involve working with technology. 

Look for more team-based approaches to dominate the future of higher education.


 

2017 is the year of artificial intelligence. Here’s why. — from weforum.org

Excerpt (emphasis DSC):

A recent acceleration of innovation in Artificial Intelligence (AI) has made it a hot topic in boardrooms, government, and the media. But it is still early, and everyone seems to have a different view of what AI is.

I have investigated the space over the last few years as a technologist and active investor. What is remarkable now is that things that haven’t worked for decades in the space are starting to work; and we are going beyond just tools and embedded functions.

We are starting to redefine how software and systems are built, what can be programmed, and how users interact. We are creating a world where machines are starting to understand and anticipate what we want to do – and, in the future, will do it for us. In short, we are on the cusp of a completely new computing paradigm. But how did we get here and why now?

 

 

 

The 2017 Dean’s List: EdTech’s 50 Must-Read Higher Ed Blogs [Meghan Bogardus Cortez at edtechmagazine.com]

 

The 2017 Dean’s List: EdTech’s 50 Must-Read Higher Ed Blogs — from edtechmagazine.com by Meghan Bogardus Cortez
These administrative all-stars, IT gurus, teachers and community experts understand how the latest technology is changing the nature of education.

Excerpt:

With summer break almost here, we’ve got an idea for how you can use some of your spare time. Take a look at the Dean’s List, our compilation of the must-read blogs that seek to make sense of higher education in today’s digital world.

Follow these education trailblazers for not-to-be-missed analyses of the trends, challenges and opportunities that technology can provide.

If you’d like to check out the Must-Read IT blogs from previous years, view our lists from 2016, 2015, 2014 and 2013.

 

 



From DSC:
I would like to thank Tara Buck, Meghan Bogardus Cortez, D. Frank Smith, Meg Conlan, and Jimmy Daly and the rest of the staff at EdTech Magazine for their support of this Learning Ecosystems blog through the years — I really appreciate it. 

Thanks all for your encouragement through the years!



 

 

 

 

From DSC:
The recent pieces below made me once again reflect on the massive changes that are quickly approaching — and in some cases are already here — for a variety of nations throughout the world.

They caused me to reflect on:

  • What the potential ramifications for higher education might be regarding these changes that are just starting to take place in the workplace due to artificial intelligence (i.e., the increasing use of algorithms, machine learning, and deep learning, etc.), automation, & robotics?
  • The need for people to reinvent themselves quickly throughout their careers (if we can still call them careers)
  • How should we, as a nation, prepare for these massive changes so that there isn’t civil unrest due to soaring inequality and unemployment?

As found in the April 9th, 2017 edition of our local newspaper here:

When even our local newspaper is picking up on this trend, you know it is real and has some significance to it.

 

Then, as I was listening to the radio a day or two after seeing the above article, I heard of another related piece on NPR.  NPR is having a journalist travel across the country, trying to identify “robot-safe” jobs.  Here’s the feature on this from MarketPlace.org

 

 

What changes do institutions of traditional higher education
immediately need to begin planning for? Initiating?

What changes should be planned for and begin to be initiated
in the way(s) that we accredit new programs?

 

 

Keywords/ideas that come to my mind:

  • Change — to society, to people, to higher ed, to the workplace
  • Pace of technological change — no longer linear, but exponential
  • Career development
  • Staying relevant — as institutions, as individuals in the workplace
  • Reinventing ourselves over time — and having to do so quickly
  • Adapting, being nimble, willing to innovate — as institutions, as individuals
  • Game-changing environment
  • Lifelong learning — higher ed needs to put more emphasis on microlearning, heutagogy, and delivering constant/up-to-date streams of content and learning experiences. This could happen via the addition/use of smaller learning hubs, some even makeshift learning hubs that are taking place at locations that these institutions don’t even own…like your local Starbucks.
  • If we don’t get this right, there could be major civil unrest as inequality and unemployment soar
  • Traditional institutions of higher education have not been nearly as responsive to change as they have needed to be; this opens the door to alternatives. There’s a limited (and closing) window of time left to become more nimble and responsive before these alternatives majorly disrupt the current world of higher education.

 

 

 



Addendum from the corporate world (emphasis DSC):



 

From The Impact 2017 Conference:

The Role of HR in the Future of Work – A Town Hall

  • Josh Bersin, Principal and Founder, Bersin by Deloitte, Deloitte Consulting LLP
  • Nicola Vogel, Global Senior HR Director, Danfoss
  • Frank Møllerop, Chief Executive Officer, Questback
  • David Mallon, Head of Research, Bersin by Deloitte, Deloitte Consulting LLP

Massive changes spurred by new technologies such as artificial intelligence, mobile platforms, sensors and social collaboration have revolutionized the way we live, work and communicate – and the pace is only accelerating. Robots and cognitive technologies are making steady advances, particularly in jobs and tasks that follow set, standardized rules and logic. This reinforces a critical challenge for business and HR leaders—namely, the need to design, source, and manage the future of work.

In this Town Hall, we will discuss the role HR can play in leading the digital transformation that is shaping the future of work in organizations worldwide. We will explore the changes we see taking place in three areas:

  • Digital workforce: How can organizations drive new management practices, a culture of innovation and sharing, and a set of talent practices that facilitate a new network-based organization?
  • Digital workplace: How can organizations design a working environment that enables productivity; uses modern communication tools (such as Slack, Workplace by Facebook, Microsoft Teams, and many others); and promotes engagement, wellness, and a sense of purpose?
  • Digital HR: How can organizations change the HR function itself to operate in a digital way, use digital tools and apps to deliver solutions, and continuously experiment and innovate?
 

From DSC:
It seems to me that we are right on the precipice of major changes — throughout the globe — that are being introduced by the growing use and presence of automation, robotics, and artificial intelligence/machine learning/deep learning, as well as other emerging technologies. But it’s not just the existence of these technologies, but it’s also that the pace of adoption of these technologies continues to increase.

These things made me wonder….what are the ramifications of the graphs below — and this new trajectory/pace of change that we’re on — for how we accredit new programs within higher education?

For me, it speaks to the need for those of us who are working within higher education to be more responsive, and we need to increase our efforts to provide more lifelong learning opportunities. People are going to need to reinvent themselves over and over again. In order for higher education to be of the utmost service to people, the time that it takes to accredit a program must be greatly reduced in cost and in time.


 

 

 

 

 

 

 

 

 

 

 


Somewhat relevant addendums:


 

A quote from “Response: What Teaching in the Year 2047 Might Look Like

To end the metaphor, what I am simply trying to say is that schools cannot afford to evolve at ¼ of the pace the world is around it and not face the possibility of becoming dangerously irrelevant. So, to answer the question – do I think the classrooms of 2040 look like the classrooms of today? Yes, I think they look more like them than they do not. Unfortunately, in my opinion, that is not the way to best serve our kids in our ever-changing world. Let me be clear, great teaching and instruction has not fundamentally changed in the past 2000 years and will not in the next 30. The context of learning and doing our best to meet the needs of the society we are preparing kids for is how and why schools must be revolutionized, not simply evolve at their own pace.

 


An excerpt from “
The global forces inspiring a new narrative of progress” (from mckinsey.com by Ezra Greenberg, Martin Hirt, and Sven Smit; emphasis DSC):

The next three tensions highlight accelerating industry disruption. Digitization, machine learning, and the life sciences are advancing and combining with one another to redefine what companies do and where industry boundaries lie. We’re not just being invaded by a few technologies, in other words, but rather are experiencing a combinatorial technology explosion. Customers are reaping some of the rewards, and our notions of value delivery are changing. In the words of Alibaba’s Jack Ma, B2C is becoming “C2B,” as customers enjoy “free” goods and services, personalization, and variety. And the terms of competition are changing: as interconnected networks of partners, platforms, customers, and suppliers become more important, we are experiencing a business ecosystem revolution.

 

38% of American Jobs Could be Replaced by Robots, According to PwC Report — from bigthink.com by David Ryan Polgar

Excerpt:

Nearly 4 out of 10 American jobs may be replaced through automation by the early 2030s, according to a new report by Price Waterhouse Cooper (PwC). In the report, the United States was viewed as the country most likely to lost jobs through automation–ahead of the UK, Germany, and Japan. This is probably not what the current administration had in mind with an “America First” policy.

 

 

 

 

The disruption of digital learning: Ten things we have learned — from joshbersin.com

Excerpt:

Over the last few months I’ve had a series of meetings with Chief Learning Officers, talent management leaders, and vendors of next generation learning tools. My goal has been simple: try to make sense of the new corporate learning landscape, which for want of a better word, we can now call “Digital Learning.” In this article I’d like to share ten things to think about, with the goal of helping L&D professionals, HR leaders, and business leaders understand how the world of corporate learning has changed.

 

Digital Learning does not mean learning on your phone, it means “bringing learning to where employees are.” 

It is a “way of learning” not a “type of learning.”

 

 

 

 

 

 

The traditional LMS is no longer the center of corporate learning, and it’s starting to go away.

 

 

 

What Josh calls a Distributed Learning Platform, I call a Learning Ecosystem:

 

 



Also see:

  • Watch Out, Corporate Learning: Here Comes Disruption — from forbes.com by Josh Bersin
    Excerpt:
    The corporate training market, which is over $130 billion in size, is about to be disrupted. Companies are starting to move away from their Learning Management Systems (LMS), buy all sorts of new tools for digital learning, and rebuild a whole new infrastructure to help employees learn. And the impact of GSuite,  Microsoft Teams, Slack, and Workplace by Facebook could be enormous.

    We are living longer, jobs are changing faster than ever, and automation is impinging on our work lives more every day. If we can’t look things up, learn quickly, and find a way to develop new skills at work, most of us would prefer to change jobs, rather than stay in a company that doesn’t let us reinvent ourselves over time.

 



 

 

A smorgasboard of ideas to put on your organization’s radar! [Christian]

From DSC:
At the Next Generation Learning Spaces Conference, held recently in San Diego, CA, I moderated a panel discussion re: AR, VR, and MR.  I started off our panel discussion with some introductory ideas and remarks — meant to make sure that numerous ideas were on the radars at attendees’ organizations. Then Vinay and Carrie did a super job of addressing several topics and questions (Mary was unable to make it that day, as she got stuck in the UK due to transportation-related issues).

That said, I didn’t get a chance to finish the second part of the presentation which I’ve listed below in both 4:3 and 16:9 formats.  So I made a recording of these ideas, and I’m relaying it to you in the hopes that it can help you and your organization.

 


Presentations/recordings:


 

Audio/video recording (187 MB MP4 file)

 

 


Again, I hope you find this information helpful.

Thanks,
Daniel

 

 

 

From DSC:
Given the exponential pace of technological change that many societies throughout the globe are now on, we need some tools to help us pulse-check what’s going on in the relevant landscapes that we are trying to scan.


 

 

 

 

 

 

 

 

 

 


Below, I would like to suggest 2 methods/tools to do this.  I have used both methods for years, and I have found them to be immensely helpful in pulse-checking the landscapes. Perhaps these tools will be helpful to you — or to your students or employees — as well.  I vote for these 2 tools to be a part of all of our learning ecosystems. (And besides, they also encourage micro-learning while helping us spot emerging trends.)


 

Google Alerts

 

 

Feedly.com

 

 

 

 

From DSC:
Hmmm…how true: “…the digital age rewards change and punishes stasis.” (
source)

Which reminds me of a photo I took just yesterday morning at one of the malls in our area, where a local Sears store is closing.

It made me wonder…if Sears could do it all over again, what would they do differently? If they had a time machine, would they go back in time and work to become the new Amazon.com?

 

 

 

By the way, this picture is for those people who continue to dismiss the need to change and to adapt.  Surveying the relevant landscapes is an increasingly important thing for all of us to do, especially given that we are now on an exponential pace of technological change.

 

 

Companies must be open to radical reinvention to find new, significant, and sustainable sources of revenue. Incremental adjustments or building something new outside of the core business can provide real benefits and, in many cases, are a crucial first step for a digital transformation. But if these initiatives don’t lead to more profound changes to the core business and avoid the real work of rearchitecting how the business makes money, the benefits can be fleeting and too insignificant to avert a steady march to oblivion.

 

 

 



Addendum on 2/10/17

  • Macy’s earnings: Shifts in retail are hurting major players — from marketwatch.com by Tonya Garcia
    Macy’s has assets like real estate and brand identity, but shifts in the sector are putting pressure on earningsExcerpt:
    Even a major player like Macy’s M, +1.51%   isn’t immune to retail’s struggles. The sector is experiencing a dramatic shift to e-commerce and changes in consumer tastes and shopping behavior that have put pressure on department store earnings, and on the industry as a whole. Macy’s has already announced 100 store closures and thousands of job cuts, in addition to a reassessment of its real-estate assets. Now there’s buzz from reports about buyout talks with Hudson’s Bay Co. HBC, parent to Lord & Taylor and Saks Fifth Avenue.

 

 

 

From DSC:
The following questions came to my mind today:

  • What are the future ramifications — for higher education — of an exponential population growth curve, especially in regards to providing access?
  • Are our current ways of providing an education going to hold up?
  • What about if the cost of obtaining a degree maintains its current trajectory?
  • What changes do we need to start planning for and/or begin making now?

 

 

 

 

 

Links to sources:

 

 
© 2016 Learning Ecosystems