Psalm 100

A psalm. For giving grateful praise.

Shout for joy to the Lord, all the earth.
Worship the Lord with gladness;
    come before him with joyful songs.
Know that the Lord is God.
    It is he who made us, and we are his;
    we are his people, the sheep of his pasture.

Enter his gates with thanksgiving
    and his courts with praise;
    give thanks to him and praise his name.
For the Lord is good and his love endures forever;
    his faithfulness continues through all generations.

 

 

Updating Education for the Evolving Job Market: Learning at the Pace of Life and Work — from huffingtonpost.com by Sophie Wade

Excerpt (emphasis DSC):

A technology-stimulated, connected, and accelerated marketplace is generating different roles and additional skills requirements for us as workers. The traditional model of completing our lifelong education needs before we enter the workforce is now obsolete. On-the-job experience must now be supplemented as business and technological requirements evolve significantly and rapidly. Compelling new multilevel learning options are emerging to cater to the new necessity of updating important knowledge and capabilities at work. Many new offerings are online and modular in order to be accessible and flexible, giving labor force participants greater opportunity to remain relevant and competitive.

Since the beginning of the Industrial Era, evolution typically occurred from generation to generation. New developments were adopted by incoming cohorts, adding to and then replacing well-established workers’ existing practices of which could be phased out gradually. However, the exponential pace that is characteristic of the Fourth Industrial Revolution is requiring modifications to be absorbed and adapted within a generation accompanied by frequent incremental updates and revisions. Innovative learning models and modules that target incoming and existing working populations are being built out to respond to business-related requirements as new fields, disciplines, and roles appear and are established.

I talked to Anant Agarwal, CEO and Founder of edX, and Professor of Electrical Engineering and Computer Science at MIT about the situation for new workforce entrants and the future education of workers. He spoke of what he called “MOOC 2.0” as the next phase of evolution of this high-profile MOOC (Massively Open Online Course) platform and the strategic rationale and content of edX’s new MicroMasters program offerings.

 

 

As a member of the International Education Committee, at edX we are extremely aware of the changing nature of work and jobs. It is predicted that 50 percent of current jobs will disappear by 2030.

Anant Agarwal, CEO and Founder of edX, and
Professor of Electrical Engineering and Computer Science at MIT

 

From DSC:
We are moving towards providing up-to-date, relevant “streams of content” (which will in many cases represent unbundled content/courses). Mark my words, that’s the future that we’re heading for — and the future that we’ll need to successfully adapt to the new, exponential pace of change. Organizations offering such streams will be providing a valuable service in terms identifying, presenting, curating the most relevant, up-to-date content.

 

 

 

 

 

 

 

 

 

 

WE ARE NOT READY FOR THIS! Per Forrester Research: In US, a net loss of 7% of jobs to automation — *in 2018*!

Forrester predicts that AI-enabled automation will eliminate 9% of US jobs in 2018 — from forbes.com by Gil Press

Excerpt (emphasis DSC):

A new Forrester Research report, Predictions 2018: Automation Alters The Global Workforce, outlines 10 predictions about the impact of AI and automation on jobs, work processes and tasks, business success and failure, and software development, cybersecurity, and regulatory compliance.

We will see a surge in white-collar automation, half a million new digital workers (bots) in the US, and a shift from manual to automated IT and data management. “Companies that master automation will dominate their industries,” Forrester says. Here’s my summary of what Forrester predicts will be the impact of automation in 2018:

Automation will eliminate 9% of US jobs but will create 2% more.
In 2018, 9% of US jobs will be lost to automation, partly offset by a 2% growth in jobs supporting the “automation economy.” Specifically impacted will be back-office and administrative, sales, and call center employees. A wide range of technologies, from robotic process automation and AI to customer self-service and physical robots will impact hiring and staffing strategies as well as create a need for new skills.

 

Your next entry-level compliance staffer will be a robot.

 

From DSC:

Are we ready for a net loss of 7% of jobs in our workforce due to automation — *next year*? Last I checked, it was November 2017, and 2018 will be here before we know it.

 

***Are we ready for this?! ***

 

AS OF TODAY, can we reinvent ourselves fast enough given our current educational systems, offerings, infrastructures, and methods of learning?

 

My answer: No, we can’t. But we need to be able to — and very soon!

 

 

There are all kinds of major issues and ramifications when people lose their jobs — especially this many people and jobs! The ripple effects will be enormous and very negative unless we introduce new ways for how people can learn new things — and quickly!

That’s why I’m big on trying to establish a next generation learning platform, such as the one that I’ve been tracking and proposing out at Learning from the Living [Class] Room. It’s meant to provide societies around the globe with a powerful, next generation learning platform — one that can help people reinvent themselves quickly, cost-effectively, conveniently, & consistently! It involves providing, relevant, up-to-date streams of content that people can subscribe to — and drop at any time. It involves working in conjunction with subject matter experts who work with teams of specialists, backed up by suites of powerful technologies. It involves learning with others, at any time, from any place, at any pace. It involves more choice, more control. It involves blockchain-based technologies to feed cloud-based learner profiles and more.

But likely, bringing such a vision to fruition will require a significant amount of collaboration. In my mind, some of the organizations that should be at the table here include:

  • Some of the largest players in the tech world, such as Amazon, Google, Apple, IBM, Microsoft, and/or Facebook
  • Some of the vendors that already operate within the higher ed space — such as Salesforce.com, Ellucian, and/or Blackboard
  • Some of the most innovative institutions of higher education — including their faculty members, instructional technologists, instructional designers, members of administration, librarians, A/V specialists, and more
  • The U.S. Federal Government — for additional funding and the development of policies to make this vision a reality

 

 

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

 

 

Romans 11:33-36 New International Version (NIV)

Doxology

33 Oh, the depth of the riches of the wisdom and knowledge of God!
    How unsearchable his judgments,
    and his paths beyond tracing out!
34 “Who has known the mind of the Lord?
    Or who has been his counselor?”
35 “Who has ever given to God,
    that God should repay them?”
36 For from him and through him and for him are all things.
    To him be the glory forever! Amen.

 

 

Artificial Intelligence in Education: Where It’s At, Where It’s Headed — from gettingsmart.com by Cameron Paterson

Excerpt:

Artificial intelligence is predicted to fundamentally alter the nature of society by 2040. Investment in AI start-ups was estimated at $6-$9 billion in 2016, up from US$415 million four years earlier. While futurist Ray Kurzweil argues that AI will help us to address the grand challenges facing humanity, Elon Musk warns us that artificial intelligence will be our “biggest existential threat.” Others argue that artificial intelligence is the future of growth. Everything depends on how we manage the transition to this AI-era.

In 2016 the Obama administration released a national strategic plan for artificial intelligence and, while we do not all suddenly now need a plan for artificial intelligence, we do need to stay up to date on how AI is being implemented. Much of AI’s potential is yet to be realized, but AI is already running our lives, from Siri to Netflix recommendations to automated air traffic control. We all need to become more aware of how we are algorithmically shaped by our tools.

This Australian discussion paper on the implications of AI, automation and 21st-century skills, shows how AI will not just affect blue-collar truck drivers and cleaners, it will also affect white-collar lawyers and doctors. Automated pharmacy systems with robots dispensing medication exist, Domino’s pizza delivery by drone has already occurred, and a fully automated farm is opening in Japan.

 

Education reformers need to plan for our AI-driven future and its implications for education, both in schools and beyond. The never-ending debate about the sorts of skills needed in the future and the role of schools in teaching and assessing them is becoming a whole lot more urgent and intense.

 

 

 

AI Experts Want to End ‘Black Box’ Algorithms in Government — from wired.com by Tom Simonite

Excerpt:

The right to due process was inscribed into the US constitution with a pen. A new report from leading researchers in artificial intelligence cautions it is now being undermined by computer code.

Public agencies responsible for areas such as criminal justice, health, and welfare increasingly use scoring systems and software to steer or make decisions on life-changing events like granting bail, sentencing, enforcement, and prioritizing services. The report from AI Now, a research institute at NYU that studies the social implications of artificial intelligence, says too many of those systems are opaque to the citizens they hold power over.

The AI Now report calls for agencies to refrain from what it calls “black box” systems opaque to outside scrutiny. Kate Crawford, a researcher at Microsoft and cofounder of AI Now, says citizens should be able to know how systems making decisions about them operate and have been tested or validated. Such systems are expected to get more complex as technologies such as machine learning used by tech companies become more widely available.

“We should have equivalent due-process protections for algorithmic decisions as for human decisions,” Crawford says. She says it can be possible to disclose information about systems and their performance without disclosing their code, which is sometimes protected intellectual property.

 

 

UAE appoints first-ever Minister for Artificial Intelligence — from tribune.com.pk

 

“We announce the appointment of a minister for artificial intelligence. The next global wave is artificial intelligence and we want the UAE to be more prepared for it.”

 

 

Tech Giants Are Paying Huge Salaries for Scarce A.I. Talent — from nytimes.com by Cade Metz
Nearly all big tech companies have an artificial intelligence project, and they are willing to pay experts millions of dollars to help get it done.

Excerpt:

Tech’s biggest companies are placing huge bets on artificial intelligence, banking on things ranging from face-scanning smartphones and conversational coffee-table gadgets to computerized health care and autonomous vehicles. As they chase this future, they are doling out salaries that are startling even in an industry that has never been shy about lavishing a fortune on its top talent.

Typical A.I. specialists, including both Ph.D.s fresh out of school and people with less education and just a few years of experience, can be paid from $300,000 to $500,000 a year or more in salary and company stock, according to nine people who work for major tech companies or have entertained job offers from them. All of them requested anonymity because they did not want to damage their professional prospects.

With so few A.I. specialists available, big tech companies are also hiring the best and brightest of academia. In the process, they are limiting the number of professors who can teach the technology.

 

 

 

Where will AI play? By Mike Quindazzi.

 

 

 

 

10 really hard decisions coming our way — from gettingsmart.com by Tom Vander Ark

Excerpt (emphasis DSC):

Things are about to get interesting. You’ve likely heard that Google’s DeepMind recently beat the world’s best Go player. But in far more practical and pervasive ways, artificial intelligence (AI) is creeping into every aspect of life–every screen you view, every search, every purchase, and every customer service contact.

What’s happening? It’s the confluence of several technologies–Moore’s law made storage, computing, and access devices almost free.

This Venn diagram illustrates how deep learning is a subset of AI and how, when combined with big data, can inform enabling technologies in many sectors. For examples, to AI and big data add:

  • Robotics, and you have industry 4.0.
  • Cameras and sensor package, and you have self-driving cars.
  • Sensors and bioinformatic maps, and you have precision medicine.

While there is lots of good news here–diseases will be eradicated and clean energy will be produced–we have a problem: this stuff is moving faster than civic infrastructure can handle. Innovation is outpacing public policy on all fronts. The following are 10 examples of issues coming at us fast that we (in the US in particular) are not ready to deal with.

  1. Unemployment.
  2. Income inequality.
  3. Privacy
  4. Algorithmic bias.
  5. Access.
  6. Machine ethics. 
  7. Weaponization. 
  8. Humanity. 
  9. Genome editing.
  10. Bad AI.

 


From DSC:
Readers of this blog will know that I’m big on pulse-checking the pace of technological change — because it has enormous ramifications for societies throughout the globe, as well as for individuals, workforces, corporations, jobs, education, training, higher education and more. Readers of this blog will again hear me say that the pace of change has changed. We’re now on an exponential pace/trajectory (vs. a slow, steady, linear path).

“Innovation is outpacing public policy on all fronts.”

How true this is. Our society doesn’t know how to deal with this new pace of change. How shall we tackle this thorny issue?

 


 

 

 

 

From DSC:
In Part I, I looked at the new, exponential pace of change that colleges, community colleges and universities now need to deal with – observing the enormous changes that are starting to occur throughout numerous societies around the globe. If we were to plot out the rate of change, we would see that we are no longer on a slow, steady, incremental type of linear pathway; but, instead, we would observe that we are now on an exponential trajectory (as the below graphic from sparks & honey very nicely illustrates).

 

 

How should colleges and universities deal with this new, exponential pace of change?

1) I suggest that you ensure that someone in your institution is lifting their gaze and peering out into the horizons, to see what’s coming down the pike. That person – or more ideally, persons – should also be looking around them, noticing what’s going on within the current landscapes of higher education. Regardless of how your institution tackles this task, given that we are currently moving at an incredibly fast pace, this trend analysis is very important. The results from this analysis should immediately be integrated into your strategic plan. Don’t wait 3-5 years to integrate these new findings into your plan. The new, exponential pace of change is going to reward those organizations who are nimble and responsive.

2) I recommend that you look at what programs you are offering and consider if you should be developing additional programs such as those that deal with:

  • Artificial Intelligence (Natural Language Processing, deep learning, machine learning, bots)
  • New forms of Human Computer Interaction such as Augmented Reality, Virtual Reality, and Mixed Reality
  • User Experience Design, User Interface Design, and/or Interaction Design
  • Big data, data science, working with data
  • The Internet of Things, machine-to-machine communications, sensors, beacons, etc.
  • Blockchain-based technologies/systems
  • The digital transformation of business
  • Freelancing / owning your own business / entrepreneurship (see this article for the massive changes happening now!)
  • …and more

3) If you are not already doing so, I recommend that you immediately move to offer a robust lineup of online-based programs. Why do I say this? Because:

  • Without them, your institution may pay a heavy price due to its diminishing credibility. Your enrollments could decline if learners (and their families) don’t think they will get solid jobs coming out of your institution. If the public perceives you as a dinosaur/out of touch with what the workplace requires, your enrollment/admissions groups may find meeting their quotas will get a lot harder as the years go on. You need to be sending some cars down the online/digital/virtual learning tracks. (Don’t get me wrong. We still need the liberal arts. However, even those institutions who offer liberal arts lineups will still need to have a healthy offering of online-based programs.)
  • Online-based learning methods can expand the reach of your faculty members while offering chances for individuals throughout the globe to learn from you, and you from them
  • Online-based learning programs can increase your enrollments, create new revenue streams, and develop/reach new markets
  • Online-based learning programs have been proven to offer the same learning gains – and sometimes better learning results than – what’s being achieved in face-to-face based classrooms
  • The majority of pedagogically-related innovations are occurring within the online/digital/virtual realm, and you will want to have built the prior experience, expertise, and foundations in order to leverage and benefit from them
  • Faculty take their learning/experiences from offering online-based courses back into their face-to-face courses
  • Due to the increasing price of obtaining a degree, students often need to work to help get them (at least part of the way) through school; thus, flexibility is becoming increasingly important and necessary for students
  • An increasing number of individuals within the K-12 world as well as the corporate world are learning via online-based means. This is true within higher education as well, as, according to a recent report from Digital Learning Compass states that “the number of higher education students taking at least one distance education course in 2015 now tops six million, about 30% of all enrollments.”
  • Families are looking very closely at their return on investments being made within the world of higher education. They want to see that their learners are being prepared for the ever-changing future that they will encounter. If people in the workforce often learn online, then current students should be getting practice in that area of their learning ecosystems as well.
  • As the (mostly) online-based Amazon.com is thriving and retail institutions such as Sears continue to close, people are in the process of forming more generalized expectations that could easily cross over into the realm of higher education. By the way, here’s how our local Sears building is looking these days…or what’s left of it.

 

 

 

4) I recommend that you move towards offering more opportunities for lifelong learning, as learners need to constantly add to their skillsets and knowledge base in order to remain marketable in today’s workforce. This is where adults greatly appreciate – and need – the greater flexibility offered by online-based means of learning. I’m not just talking about graduate programs or continuing studies types of programs here. Rather, I’m hoping that we can move towards providing streams of up-to-date content that learners can subscribe to at any time (and can drop their subscription to at any time). As a relevant side note here, keep your eyes on blockchain-based technologies here.

5) Consider the role of consortia and pooling resources. How might that fit into your strategic plan?

6) Consider why bootcamps continue to come onto the landscape.  What are traditional institutions of higher education missing here?

7) And lastly, if one doesn’t already exist, form a small, nimble, innovative group within your organization — what I call a TrimTab Group — to help identify what will and won’t work for your institution.

 

 

 

 

 

From DSC:
I know Quentin Schultze from our years working together at Calvin College, in Grand Rapids, Michigan (USA). I have come to greatly appreciate Quin as a person of faith, as an innovative/entrepreneurial professor, as a mentor to his former students, and as an excellent communicator. 

Quin has written a very concise, wisdom-packed book that I would like to recommend to those people who are seeking to be better communicators, leaders, and servants. But I would especially like to recommend this book to the leadership at Google, Amazon, Apple, Microsoft, IBM, Facebook, Nvidia, the major companies developing robots, and other high-tech companies. Why do I list these organizations? Because given the exponential pace of technological change, these organizations — and their leaders — have an enormous responsibility to make sure that the technologies that they are developing result in positive changes for societies throughout the globe. They need wisdom, especially as they are working on emerging technologies such as Artificial Intelligence (AI), personal assistants and bots, algorithms, robotics, the Internet of Things, big data, blockchain and more. These technologies continue to exert an increasingly powerful influence on numerous societies throughout the globe today. And we haven’t seen anything yet! Just because we can develop and implement something, doesn’t mean that we should. Again, we need wisdom here.

But as Quin states, it’s not just about knowledge, the mind and our thoughts. It’s about our hearts as well. That is, we need leaders who care about others, who can listen well to others, who can serve others well while avoiding gimmicks, embracing diversity, building trust, fostering compromise and developing/exhibiting many of the other qualities that Quin writes about in his book. Our societies desperately need leaders who care about others and who seek to serve others well.

I highly recommend you pick up a copy of Quin’s book. There are few people who can communicate as much in as few words as Quin can. In fact, I wish that more writing on the web and more articles/research coming out of academia would be as concisely and powerfully written as Quin’s book, Communicate Like a True Leader: 30 Days of Life-Changing Wisdom.

 

 

To lead is to accept responsibility and act responsibly.
Quentin Schultze

 

 

 

Reading for delegates to the World Conference on Online Learning (taking place from 10/16/17 through 10/19/17 in Toronto, Canada)

Readings include:

 

 

 

Also see:

  • Emerging Tech Boosts Online Education Growth Over Next 4 Years — from edtechmagazine.com by Meghan Bogardus Cortez
    A study finds that mobile devices, virtual reality and blending learning programs will spark innovation.
    Excerpt:
    With millions of students enrolling in at least one online course, it should be no surprise that a recent Technavio study found that the online education market is forecasted to grow at a compound annual growth rate of 20 percent until 2021. As enrollment and investment in online education increases, the report claims that the industry owes a lot of this growth to mobile devices and increased desire for blended learning opportunities.

 

 

 

Reuters Top 100: The World’s Most Innovative Universities – 2017 — from reuters.com with thanks to eduwire for their posting on this

Excerpts:

Reuters’ annual ranking of the World’s Most Innovative Universities identifies and ranks the educational institutions doing the most to advance science, invent new technologies and power new markets and industries.

The top 10 innovative universities are:

  1. Stanford University
  2. Massachusetts Institute of Technology (MIT)
  3. Harvard University
  4. University of Pennsylvania
  5. KU Leuven
  6. KAIST
  7. University of Washington
  8. University of Michigan System
  9. University of Texas System
  10. Vanderbilt University

 

 

 

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