Digital Ivy: Harvard Business School’s Next Online Program — from edsurge.com by Betsy Corcoran

Excerpts:

A triad of Harvard institutions—its business School, the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), and the department of statistics—are teaming up with Maryland-based digital education company, 2U, to offer an online executive education certificate in business analytics.

Orchestrating a cross-disciplinary program is no small feat, particularly at Harvard. “This was really hard [for Harvard] to pull off,” Paucek says. “It’s an intense, cross-disciplinary new offering from a school founded in 1636. The field is new, the offering of a complex blended certificate is new, and it’s being done with HBS, SEAS and the faculty, all blessed by the central administration. And it’s powered by an outside company that’s only 10 years old.”

 

The bottom line: HBS, Harvard SEAS and FAS faculty all want to put their imprint on the topic that is mesmerizing nearly every type of organization.

 

 

Also see:

Excerpt:

Andrew Ng a soft-spoken AI researcher whose online postings talk loudly.

A March blog post in which the Stanford professor announced he was leaving Chinese search engine Baidu temporarily wiped more than a billion dollars off the company’s value. A June tweet about a new Ng website, Deeplearning.ai, triggered a wave of industry and media speculation about his next project.

Today that speculation is over. Deeplearning.ai is home to a series of online courses Ng says will help spread the benefits of recent advances in machine learning far beyond big tech companies such as Google and Baidu. The courses offers coders without an AI background training in how to use deep learning, the technique behind the current frenzy of investment in AI.

 


From DSC:
For those of you who shun online learning and think such programs will dilute your face-to-face based brands — whether individual colleges, universities, faculty members, provosts, deans, IT-based personnel, administrators, members of the board of trustees, and/or other leaders and strategists within higher education — you might want to intentionally consider what kind of future you have without a strong, solid online presence. Because if one of the top — arguably thee top — universities in the United States is moving forward forcefully with online learning, what’s your story/excuse?

And if one of the top thinkers in artificial intelligence backs online learning, again…what’s your story/excuse?

If Amazon.com dominates and Sears (and related retail stores who were powerhouses just years ago) are now closing…you are likely heading for major trouble as the world continues down the digital/virtual tracks — and you aren’t sending any (or very few) cars down those tracks. You won’t have any credibility in the future — at least not in the digital/virtual/online-based realms. Oh, and by the way, you might want to set some more funding aside for the mental and physical health of your admissions/enrollment teams in such situations…as their jobs are going to be increasingly stressful and difficult in order to meet their target numbers.


 

Also see:

 


 

 

 

 

Campus Technology Announces 2017 Impact Award Honorees — from campustechnology.com

Excerpt:

“When you consider the use of technology in education, one of the most important factors is impact — how it benefits students, improves teaching, streamlines costs, contributes to the community, furthers the institutional mission, etc.,” said Rhea Kelly, executive editor of Campus Technology. “These 10 projects are making a difference in higher education in variety of inspiring ways, and we are so pleased to recognize them with this year’s Impact Awards.”

 

From DSC:
I was a Member of the Review Board for this year’s Impact Awards program. As such, I want to extend my sincere congratulations to these recipients! I also want to extend congratulations to the many other people/organizations who — though they didn’t win an award this year — are doing some great work out there as well!

 

 

 

Radically open: Tom Friedman on jobs, learning, and the future of work — from dupress.delotte.com by Tom Friedman, Cathy Engelbert, and John Hagel

Excerpt (emphasis DSC):

Tom Friedman: My thoughts on the future of work are very influenced by my friend, a business strategist, Heather McGowan. She really describes that what’s going on is that work is being disconnected from jobs, and jobs and work are being disconnected from companies, which are increasingly becoming platforms. That’s Heather’s argument, and that is what I definitely see.

[A good] example is what’s happened to the cab business. In Bethesda, we have a [local] cab company that owns cars and has employees who have a job; they drive those cars. They’re competing now with Uber, which owns no cars, has no employees, and just provides a platform of work that brings together ride-needers—myself—and ride-providers. And I do think that the Uber platform model, and the way it is turning a job into work and monetizing work, is the future of work.

And that will have a huge impact on the future of learning. Because if work is being extracted from jobs, and if jobs and work are being extracted from companies—and because, as you and I have both written, we’re now in a world of flows — then learning has to become lifelong. We have to provide both the learning tools and the learning resources for lifelong learning when your job becomes work and your company becomes a platform.

So I’m not sure what the work of the future is, but I know that the future of companies is to be hiring people and constantly training people to be prepared for a job that has not been invented yet. If you, as a company, are not providing both the resources and the opportunity for lifelong learning, [you’re sunk], because you simply cannot be a lifelong employee anymore unless you are a lifelong learner. If you’re training people for a job that’s already been invented, or if you’re going to school in preparation for a job that’s already been invented, I would suggest that you’re going to have problems somewhere down the road.


CE: In a recent report from the National Bureau of Economic Research, some leading labor economists did an analysis of net new employment in the United States between 2005 and 2015, and found that about 94 percent of that net new employment was from alternative work arrangements—everything from gig to freelance and off-balance-sheet kinds of work.

I think that’s why we need to teach filtering, literally, to our students. There should be Filtering 101, Filtering 102, Filtering 103. How do I filter information so I get enough of it to advance, but not so much that I’m overwhelmed? How do I filter news?

 

 

…it seems to me that rule number one is you want to be radically open. And that’s a really hard sell right now, because it feels so counterintuitive, and everyone’s putting up walls right when you want to be, actually, radically open. Why do you want to be radically open? Because you’ll get more flows; you’ll get the signals first, and you will attract more flow-minded people, which I would call high-IQ risk-takers. That’s from a country point of view, but I have to believe that’s also right from a company point of view: that you want to be plugged into as many discussions, as many places, and as many flow generators as possible, because you’ll simply get the signals first in order to understand where the work of the future is coming from.

 

 

[GE] offered $20,000 in prize money — 7,000 to the winner, and the rest split up among the other finalists. Well, within six weeks, they got over 600 responses. The 10 finalists were all tested by GE engineers, and they picked the winner. None of the 10 finalists was an American, and none was an aeronautical engineer, and the winner was a 21-year-old from Indonesia who was not an aeronautical engineer, and he took more than 80 percent of the weight out of this fastener.

No, let’s actually create jump balls and access all the talent wherever it is.

 

 

And what did the best artisans do? They brought so much personal value-add, so much unique extra, to what they did that they carved their initials into their work at the end of the day. So always do your job [in a way that] you bring so much empathy to it, so much unique, personal value-add, that it cannot be automated, digitized, or outsourced, and that you want to carve your initials into it at the end of the day.

 

 



From DSC:
If what Tom, Cathy, and John discuss here is true, think of what that means for our students. Our students need to be digitally literate, online, adaptable, lifelong learners, and they need to be highly comfortable with change. They need to be tapped into the “flows” that the authors describe (what they refer to as flows, I call “streams of content” — if I’m understanding their perspective correctly). They need to think entrepreneurially, as Friedman asserts.

Also, they discuss three new social contracts that need to evolve:

There are three new social contracts that have to evolve here. Government has to incentivize companies to create these lifelong learning opportunities. Companies have to create the platforms for employees to afford to be able to take these courses. And the employee has to have a new social contract with themselves: “I have to do this on my own time; I have to be more self-motivated.” More is on you.

…and thus enters my vision that I call Learning from the Living [Class] Room. A global, powerful, next generation learning platform — meant to help people reinvent themselves quickly, cost-effectively, conveniently, & consistently.

 

 

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

 

 

But there is no more important survival skill than learning to love learning.

 

 

…because you simply cannot be a lifelong employee anymore unless you are a lifelong learner.

 

 

Always think of yourself as if you need to be reengineered, retooled, relearned, retaught constantly. Never think of yourself as “finished”; otherwise you really will be finished.

 

 



 

 

 

 

2017 Ed Tech Trends: The Halfway Point — from campustechnology.com by Rhea Kelly
Four higher ed IT leaders weigh in on the current state of education technology and what’s ahead.

This article includes some perspectives shared from the following 4 IT leaders:

  • Susan Aldridge, Senior Vice President for Online Learning, Drexel University (PA); President, Drexel University Online
  • Daniel Christian, Adjunct Faculty Member, Calvin College
  • Marci Powell, CEO/President, Marci Powell & Associates; Chair Emerita and Past President, United States Distance Learning Association
  • Phil Ventimiglia, Chief Innovation Officer, Georgia State University

 

 

Also see:

 

 

 

From DSC:
Reviewing the article below made me think of 2 potential additions to the Learning & Development Groups/Departments out there:

  1. Help people build their own learning ecosystems
  2. Design, develop, and implement workbots for self-service

 



 

Chatbots Poised to Revolutionize HR — from by Pratibha Nanduri

Excerpt:

Self-service is becoming an increasingly popular trend where people want to perform their tasks without needing help or input from anyone else. The increasing popularity of this trend is mainly attributed to the increasing use of computers and mobile devices to electronically manage all kinds of tasks.

As employee tolerance for downtime reduces and preferences for mobility increases, the bureaucracy which exists in managing everyday HR related tasks in the workplace will also have to be replaced. A large number of companies have still not automated even their basic HR services such as handling inquiries about holidays and leaves. Employees in such organizations still have to send their query and then wait for HR to respond.

As the number of employees goes up in an organization, the time taken by HR managers to respond to mundane admin tasks also increases. This leaves very little time for the HR manager to focus on strategic HR initiatives.

Chatbots that are powered by AI and machine learning are increasingly being used to automate mundane and repetitive tasks. They can also be leveraged in HR to simulate intelligent SMS-based conversations between employees and HR team members to automate basic HR tasks.

 



 

 

Major Coding Bootcamps Going Out of Business — from campustechnology.com by Sri Ravipati

Excerpt:

In a surprising turn of events, two major coding bootcamps, within the span of about a week, have announced they are shutting down all operations.

Most recently, after a four-year run, South Carolina-based The Iron Yard (TIY) revealed last Friday it would close its 15 campuses, including locations like Atlanta, Austin, Houston and Charleston where other coding bootcamps are flourishing.

Similarly, Dev Bootcamp (DBC) on July 12 announced via Facebook that it would shutdown operations at all six locations — Austin, Chicago, San Diego, San Francisco, Seattle and New York — by the end of the summer.

 

From DSC:
I can almost hear the snickering from a variety of people within higher education about this situation. If gloating had an audible sound associated with it, I’d likely have to go find some earplugs. But I have a message for those who are snickering and gloating right now — saying something along the lines of, “Ha! So much for these alternatives to traditional higher education! They’re nothing, and they’ll come to nothing!”

That may be so. Such relatively new alternatives to traditional institutions of higher education may come to nothing. But you know what? At least those organizations are trying to be much more responsive than many institutions of traditional higher education are being! They’ve recognized that there are unmet needs — gaps, if you will — arising from our current systems. Gaps in either the content that we’re providing and/or the manner in which we’re providing it. Gaps that thousands of students have signed up for in a relatively short time. Those gaps should be cause for action within traditional institutions of higher education. They should be cause for realizing that we aren’t responding nearly fast enough to today’s new pace of change.

The pace of change has changed. It is lightning fast these days. Don’t believe me? Go check out some of the descriptions for the hot jobs out there these days. Seriously. Go do it. Go find out which skills you need to get your foot in the door to acquire those types of positions. It’ll blow your mind!

And there are ramifications to this.

If our accreditation systems need to change, than so be it. Let’s identify those necessary changes and make ’em happen!

Because:

  • WE have some serious responsibility for the educations that we are providing to this next generation!!! 
  • WE need to prepare them for what they’ll need to be marketable in the future — so that they can put bread and butter on their tables throughout their careers.
  • WE need to act!
  • WE need to be responsive!

This is not a time for gloating. Rather, this is a time for some serious action.

 

 

 



Addendums on 8/2/17 and 8/3/17:



Jobs Report: 97 Percent of Flatiron School Graduates Land Jobs — from by Sri Ravipati

Excerpt:

While two major coding bootcamps shut down earlier this week, another released its latest jobs report and says it had the strongest student outcomes to date.

The Flatiron School based in New York, NY has released an independently verified jobs report every year since 2014 — “pioneering the concept of outcomes reporting and setting a standard of transparency in educational outcomes,” the latest report reads. It’s the company’s commitment to accessibility and transparency that have allowed its programs to stay open for five years now, says Adam Enbar, co-founder of the Flatiron School.

 

More bootcamps are quietly coming to a university near you — from edsurge.com by Sydney Johnson

Excerpt:

In the last two years, a surge of nonprofit, four-year institutions have hopped on the bootcamp bandwagon. These programs, often on skills such as software development or data analytics, have arrived in a number of ways—from universities partnering with local for-profit bootcamps, or colleges creating their own intensive training programs completely in-house.But while bootcamps are often associated with tech skills, it seems that traditional universities trying out the model are interested in more than just coding. An increasing number of traditional higher-ed institutions are now applying bootcamp trainings to other fields, such as healthcare, accounting and even civics and political science.

 

 

 

Google’s AI Guru Says That Great Artificial Intelligence Must Build on Neuroscience — from technologyreview.com by Jamie Condliffe
Inquisitiveness and imagination will be hard to create any other way.

Excerpt:

Demis Hassabis knows a thing or two about artificial intelligence: he founded the London-based AI startup DeepMind, which was purchased by Google for $650 million back in 2014. Since then, his company has wiped the floor with humans at the complex game of Go and begun making steps towards crafting more general AIs.

But now he’s come out and said that be believes the only way for artificial intelligence to realize its true potential is with a dose of inspiration from human intellect.

Currently, most AI systems are based on layers of mathematics that are only loosely inspired by the way the human brain works. But different types of machine learning, such as speech recognition or identifying objects in an image, require different mathematical structures, and the resulting algorithms are only able to perform very specific tasks.

Building AI that can perform general tasks, rather than niche ones, is a long-held desire in the world of machine learning. But the truth is that expanding those specialized algorithms to something more versatile remains an incredibly difficult problem, in part because human traits like inquisitiveness, imagination, and memory don’t exist or are only in their infancy in the world of AI.

 

First, they say, better understanding of how the brain works will allow us to create new structures and algorithms for electronic intelligence. 

 

From DSC:
Glory to God! I find it very interesting to see how people and organizations — via very significant costs/investments — keep trying to mimic the most amazing thing — the human mind. Turns out, that’s not so easy:

But the truth is that expanding those specialized algorithms to something more versatile remains an incredibly difficult problem…

Therefore, some scripture comes to my own mind here:

Psalm 139:14 New International Version (NIV)

14 I praise you because I am fearfully and wonderfully made;
    your works are wonderful,
    I know that full well.

Job 12:13 (NIV)

13 “To God belong wisdom and power;
    counsel and understanding are his.

Psalm 104:24 (NIV)

24 How many are your works, Lord!
    In wisdom you made them all;
    the earth is full of your creatures.

Revelation 4:11 (NIV)

11 “You are worthy, our Lord and God,
    to receive glory and honor and power,
for you created all things,
    and by your will they were created
    and have their being.”

Yes, the LORD designed the human mind by His unfathomable and deep wisdom and understanding.

Glory to God!

Thanks be to God!

 

 

Amazon’s Alexa passes 15,000 skills, up from 10,000 in February — from techcrunch.com by Sarah Perez

Excerpt:

Amazon’s Alexa voice platform has now passed 15,000 skills — the voice-powered apps that run on devices like the Echo speaker, Echo Dot, newer Echo Show and others. The figure is up from the 10,000 skills Amazon officially announced back in February, which had then represented a 3x increase from September.

The new 15,000 figure was first reported via third-party analysis from Voicebot, and Amazon has now confirmed to TechCrunch that the number is accurate.

According to Voicebot, which only analyzed skills in the U.S., the milestone was reached for the first time on June 30, 2017. During the month of June, new skill introductions increased by 23 percent, up from the less than 10 percent growth that was seen in each of the prior three months.

The milestone also represents a more than doubling of the number of skills that were available at the beginning of the year, when Voicebot reported there were then 7,000 skills. That number was officially confirmed by Amazon at CES.

 

 


From DSC:
Again, I wonder…what are the implications for learning from this new, developing platform?


 

 

From DSC:
I thought the article below was a good one. But I’m not sure I arrived at the same conclusion. Rather than putting the business of leadership & development training squarely on the shoulders of team leaders, I would put it on each individual employee and inform/empower them to seek out what works best for them in fulfilling their role.  

The L&D team can work with introducing the best tools and examples of streams of content to tap into for any given role or topic.

I’m thinking here of tools like Twitter, streams of content from LinkedIn or from relevant blogs and websites. The team leaders can follow up with their team members and check in with them to see how things are going. If an employee says, “I don’t know who to connect with or follow” then perhaps the team leader can say, I’ve found these particular people, blogs, websites, streams of content from LinkedIn (or other sources) to be effective for what we do within our organization. Introduce them to communities of practice and/or to other individuals that do X, Y or Z really well.

It brings in the social element that this article discusses, but it also serves each individual’s best interests — each one of us needs to know how and where to keep learning. If it’s in their best interests to keep learning, then give them the tools and potential streams of content to tap into. Give them:

 

 

Let them own it. They’re likely creating their own learning pathways anyway. L&D become a consulting organization. L&D can consult with each group (or even individual employees) re: potential streams of content and possible/effective connections for that group (or individual).

 



Revive.  — from revive.zaglearning.com

How enterprise learning for leadership and team development is tripping up human potential, and slowly sending the L&D brand into irrelevance. This is the story of how to save it, step by radical step.

Excerpts:

Over 18 months of research with 65 one-on-one interviews, 511 managers surveyed, and 900 teams representing 8K people, we witnessed the unintentional damage: marginalized learning and development people (L&D), learners who see leadership and team development as a necessary but random and usually disappointing transaction, and executives who line-item “soft skills” training (labeled decades ago by, no surprise, a hard-skills proponent) as a tax or necessary benefit, as if it were a dental plan.

If you’re curious, it can’t help but spark a few questions:

  • How can something so strategically important be so realistically unimportant?
  • How did L&D pros, who make such a compelling psychological and organizational case for the most pivotal kind of learning, get so minimized and, in the process, drag down human potential and the social intelligence of corporate culture?
  • How are smart, passionate L&D people who are in it for the greater good—and not the big payday—getting stuck with a brand that’s as sexy as K-Mart?

The problems are systemic, and the curiosity and ambition to fix them have received as little attention as any problem in enterprise history.

 

So, what’s the big switch? Learning for leadership and team development doesn’t belong with L&D. It belongs squarely with the team leader, the person who is 70% of the variance in her team’s engagement. Learning belongs fundamentally, not loosely, where it’s always in context and relevant: the leader and her team.

 

 

 

Robots and AI are going to make social inequality even worse, says new report — from theverge.com by
Rich people are going to find it easier to adapt to automation

Excerpt:

Most economists agree that advances in robotics and AI over the next few decades are likely to lead to significant job losses. But what’s less often considered is how these changes could also impact social mobility. A new report from UK charity Sutton Trust explains the danger, noting that unless governments take action, the next wave of automation will dramatically increase inequality within societies, further entrenching the divide between rich and poor.

The are a number of reasons for this, say the report’s authors, including the ability of richer individuals to re-train for new jobs; the rising importance of “soft skills” like communication and confidence; and the reduction in the number of jobs used as “stepping stones” into professional industries.

For example, the demand for paralegals and similar professions is likely to be reduced over the coming years as artificial intelligence is trained to handle more administrative tasks. In the UK more than 350,000 paralegals, payroll managers, and bookkeepers could lose their jobs if automated systems can do the same work.

 

Re-training for new jobs will also become a crucial skill, and it’s individuals from wealthier backgrounds that are more able to do so, says the report. This can already be seen in the disparity in terms of post-graduate education, with individuals in the UK with working class or poorer backgrounds far less likely to re-train after university.

 

 

From DSC:
I can’t emphasize this enough. There are dangerous, tumultuous times ahead if we can’t figure out ways to help ALL people within the workforce reinvent themselves quickly, cost-effectively, and conveniently. Re-skilling/up-skilling ourselves is becoming increasingly important. And I’m not just talking about highly-educated people. I’m talking about people whose jobs are going to be disappearing in the near future — especially people whose stepping stones into brighter futures are going to wake up to a very different world. A very harsh world.

That’s why I’m so passionate about helping to develop a next generation learning platform. Higher education, as an industry, has some time left to figure out their part/contribution out in this new world. But the window of time could be closing, as another window of opportunity / era could be opening up for “the next Amazon.com of higher education.”

It’s up to current, traditional institutions of higher education as to how much they want to be a part of the solution. Some of the questions each institution ought to be asking are:

  1. Given our institutions mission/vision, what landscapes should we be pulse-checking?
  2. Do we have faculty/staff/members of administration looking at those landscapes that are highly applicable to our students and to their futures? How, specifically, are the insights from those employees fed into the strategic plans of our institution?
  3. What are some possible scenarios as a result of these changing landscapes? What would our response(s) be for each scenario?
  4. Are there obstacles from us innovating and being able to respond to the shifting landscapes, especially within the workforce?
  5. How do we remove those obstacles?
  6. On a scale of 0 (we don’t innovate at all) to 10 (highly innovative), where is our culture today? Where do we hope to be 5 years from now? How do we get there?

…and there are many other questions no doubt. But I don’t think we’re looking into the future nearly enough to see the massive needs — and real issues — ahead of us.

 

 

The report, which was carried out by the Boston Consulting Group and published this Wednesday [7/12/17], looks specifically at the UK, where it says some 15 million jobs are at risk of automation. But the Sutton Trust says its findings are also relevant to other developed nations, particularly the US, where social mobility is a major problem.

 

 

 

 
© 2017 | Daniel Christian