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How professionals learn for work [Jarche]

On 08/13/2018, in blogs / blogging, business, Canada, career development, corporate / business world, corporate universities / corporate training, elearning, formal learning, informal learning, Lifelong learning, PLNs, professional development, RSS, social learning / networks, tools, training / L&D, UK, United States, workplace, by Daniel Christian

How professionals learn for work — from jarche.com by Harold Jarche

Excerpt:

On the image below the methods are colour-coded to Experience (70%), Exposure (20%), and Education (10%). The size of text indicates the importance as ranked by the survey respondents. Note that some of these methods cross boundaries, such as team knowledge sharing & conferences.

 

 

Also see:

 

Training strategies should consider the reality of how people learn; content should always be available remotely – increasingly via mobile – and at the learner’s convenience in bite-sized chunks, making use of video, gamification and collaboration.

 

 

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“AWS unveils ‘Transcribe’ and ‘Translate’ machine learning services” + 4 other items re: AI, NLP, & more

On 04/07/2018, in 21st century, algorithms, Amazon, Artificial Intelligence / Machine Learning / Deep Learning, business, Canada, career development, corporate / business world, digital audio, emerging technologies, ethics, experimentation, future, Google, intelligent systems, Languages and translation, morals/values, Natural Language Processing (NLP), society, technology (general), the downsides of technology, voice recognition / voice enabled interfaces, workplace, by Daniel Christian

AWS unveils ‘Transcribe’ and ‘Translate’ machine learning services — from business-standard.com

Excerpts:

  • Amazon “Transcribe” provides grammatically correct transcriptions of audio files to allow audio data to be analyzed, indexed and searched.
  • Amazon “Translate” provides natural sounding language translation in both real-time and batch scenarios.

 

 

Google’s ‘secret’ smart city on Toronto’s waterfront sparks row — from bbc.com by Robin Levinson-King BBC News, Toronto

Excerpt:

The project was commissioned by the publically funded organisation Waterfront Toronto, who put out calls last spring for proposals to revitalise the 12-acre industrial neighbourhood of Quayside along Toronto’s waterfront.

Prime Minister Justin Trudeau flew down to announce the agreement with Sidewalk Labs, which is owned by Google’s parent company Alphabet, last October, and the project has received international attention for being one of the first smart-cities designed from the ground up.

But five months later, few people have actually seen the full agreement between Sidewalk and Waterfront Toronto.

As council’s representative on Waterfront Toronto’s board, Mr Minnan-Wong is the only elected official to actually see the legal agreement in full. Not even the mayor knows what the city has signed on for.

“We got very little notice. We were essentially told ‘here’s the agreement, the prime minister’s coming to make the announcement,'” he said.

“Very little time to read, very little time to absorb.”

Now, his hands are tied – he is legally not allowed to comment on the contents of the sealed deal, but he has been vocal about his belief it should be made public.

“Do I have concerns about the content of that agreement? Yes,” he said.

“What is it that is being hidden, why does it have to be secret?”

From DSC:
Google needs to be very careful here. Increasingly so these days, our trust in them (and other large tech companies) is at stake.

 

 

Addendum on 4/16/18 with thanks to Uros Kovacevic for this resource:
Human lives saved by robotic replacements — from injuryclaimcoach.com

Excerpt:

For academics and average workers alike, the prospect of automation provokes concern and controversy. As the American workplace continues to mechanize, some experts see harsh implications for employment, including the loss of 73 million jobs by 2030. Others maintain more optimism about the fate of the global economy, contending technological advances could grow worldwide GDP by more than $1.1 trillion in the next 10 to 15 years. Whatever we make of these predictions, there’s no question automation will shape the economic future of the nation – and the world.

But while these fiscal considerations are important, automation may positively affect an even more essential concern: human life. Every day, thousands of Americans risk injury or death simply by going to work in dangerous conditions. If robots replaced them, could hundreds of lives be saved in the years to come?

In this project, we studied how many fatal injuries could be averted if dangerous occupations were automated. To do so, we analyzed which fields are most deadly and the likelihood of their automation according to expert predictions. To see how automation could save Americans’ lives, keep reading.

Also related to this item is :
How AI is improving the landscape of work  — from forbes.com by Laurence Bradford

Excerpts:

There have been a lot of sci-fi stories written about artificial intelligence. But now that it’s actually becoming a reality, how is it really affecting the world? Let’s take a look at the current state of AI and some of the things it’s doing for modern society.

  • Creating New Technology Jobs
  • Using Machine Learning To Eliminate Busywork
  • Preventing Workplace Injuries With Automation
  • Reducing Human Error With Smart Algorithms

From DSC:
This is clearly a pro-AI piece. Not all uses of AI are beneficial, but this article mentions several use cases where AI can make positive contributions to society.

 

 

 

It’s About Augmented Intelligence, not Artificial Intelligence — from informationweek.com
The adoption of AI applications isn’t about replacing workers but helping workers do their jobs better.

 

From DSC:
This article is also a pro-AI piece. But again, not all uses of AI are beneficial. We need to be aware of — and involved in — what is happening with AI.

 

 

 

Investing in an Automated Future — from clomedia.com by Mariel Tishma
Employers recognize that technological advances like AI and automation will require employees with new skills. Why are so few investing in the necessary learning?

 

 

 

 

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The Space Satellite Revolution Could Turn Earth into a Surveillance Nightmare [Ferreira]

On 03/09/2018, in 21st century, 24x7x365 access, A/V -- audio/visual, Asia, Australia, Canada, change, collaboration, communications, communities of practice, emerging technologies, Europe, ideas, India, platforms, political science, society, technology (general), the downsides of technology, tools, trends, UK, United States, by Daniel Christian

The Space Satellite Revolution Could Turn Earth into a Surveillance Nightmare — from scout.ai by Becky Ferreira
Laser communication between satellites is revolutionizing our ability to track climate change, manage resources, and respond to natural disasters. But there are downsides to putting Earth under a giant microscope.

Excerpts:

And while universal broadband has the potential to open up business and education opportunities to hundreds of thousands of people, it’s the real-time satellite feeds of earth that may have both the most immediate and widespread financial upsides — and the most frightening surveillance implications — for the average person here on earth.
…
Among the industries most likely to benefit from laser communications between these satellites are agriculture and forestry.
…
Satellite data can also be used to engage the public in humanitarian efforts. In the wake of Typhoon Haiyan, DigitalGlobe launched online crowdsourcing campaigns to map damage and help NGOs respond on the ground. And they’ve been identifying vulnerable communities in South Sudan as the nation suffers through unrest and famine.

In an age of intensifying natural disasters, combining these tactics with live satellite video feeds could mean the difference between life and death for thousands of people.
…
Should a company, for example, be able to use real-time video feeds to track your physical location, perhaps in order to better target advertising? Should they be able to use facial recognition and sentiment analysis algorithms to assess your reactions to those ads in real time?
…
While these commercially available images aren’t yet sharp enough to pick up intimate details like faces or phone screens, it’s foreseeable that regulations will be eased to accommodate even sharper images. That trend will continue to prompt privacy concerns, especially if a switch to laser-based satellite communication enables near real-time coverage at high resolutions.

A kaleidoscopic swirl of possible futures confronts us, filled with scenarios where law enforcement officials could rewind satellite footage to identify people at a crime scene, or on a more familial level, parents could remotely watch their kids — or keep tabs on each other — from space. In that world, it’s not hard to imagine privacy becoming even more of a commodity, with wealthy enclaves lobbying to be erased from visual satellite feeds, in a geospatial version of “gated communities.”

 

 

From DSC:
The pros and cons of technologies…hmmm…this article nicely captures the pluses and minuses that societies around the globe need to be aware of, struggle with, and discuss with each other. Some exciting things here, but some disturbing things here as well.

 

 

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The Pace of Change Has Changed — With Massive Ramifications! [A video by Daniel Christian]

On 12/05/2017, in Artificial Intelligence / Machine Learning / Deep Learning, bots, business, Canada, career development, change, changing business models, corporate / business world, corporate universities / corporate training, dangers of the status quo, Daniel S. Christian, disruption, economics, emerging technologies, future, future of higher education, game-changing environment, higher education, ideas, Lifelong learning, Mobile technologies, new business models, organizational change, pace of change, robotics, training / L&D, trends, United States, universities, vendors, workplace, youth, by Daniel Christian

 

From DSC:
In this video, I look at how the pace of change has changed and I also provide some examples that back up this assertion. I end with a series of relevant questions, especially for those of us working within higher education.

What are we doing to get ready for the massive change that’s heading our way?

 

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

On 11/13/2017, in 21st century, 24x7x365 access, active learning, adult learning, algorithms, Amazon, Apple, Artificial Intelligence / Machine Learning / Deep Learning, Asia, Australia, bots, business, Canada, career development, change, Christian education, cognitive computing, collaboration, colleges, community colleges, corporate / business world, corporate universities / corporate training, credentialing, dangers of the status quo, Daniel S. Christian, data mining, digital learning, disruption, education reform, education technology, emerging technologies, Europe, Facebook, future, future of higher education, game-changing environment, global / globalization, Google, heutagogy, higher education, human-computer interaction (HCI), IBM, ideas, innovation, intelligent systems, intelligent tutoring, internet, learner profiles, learning, Learning Agents, learning ecosystem, learning from the living [class] room, learning hubs, legislatures / government / legal, Lifelong learning, Microlearning, Microsoft, more choice more control, online learning, organizational change, pace of change, platforms, professional development, reinvent, research, robotics, second screen apps, society, staying relevant, strategy, streams of content, surviving, Technologies for your home, the downsides of technology, training / L&D, trends, UK, United States, universities, vendors, vision, Walmart of Education --> New Amazon.com of Higher Education, web-based collaboration, workplace, by Daniel Christian

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

 

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State of Higher Ed LMS Market for US and Canada: Fall 2017 Edition [Hill]

On 11/02/2017, in adjunct faculty, Canada, CMS/LMS, colleges, community colleges, education technology, faculty, higher education, teaching & learning, teaching online, tools, trends, United States, universities, vendors, by Daniel Christian

State of Higher Ed LMS Market for US and Canada: Fall 2017 Edition — from mfeldstein.com by Phil Hill

 

 

 

 

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10 really hard decisions coming our way [Vander Ark]

On 10/21/2017, in 21st century, algorithms, analytics, Artificial Intelligence / Machine Learning / Deep Learning, Asia, Australia, Canada, change, cognitive computing, Daniel S. Christian, disruption, emerging technologies, ethics, Europe, future, game-changing environment, global / globalization, Google, higher education, human-computer interaction (HCI), ideas, India, innovation, leadership, legislatures / government / legal, Natural Language Processing (NLP), pace of change, platforms, robotics, society, trends, UK, United States, by Daniel Christian

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?

 

 

 

 

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

On 10/16/2017, in 21st century, 24x7x365 access, adjunct faculty, Australia, Canada, change, colleges, community colleges, consortiums, digital learning, distance education, education, education technology, emerging technologies, Europe, future, future of higher education, game-changing environment, global / globalization, higher education, ideas, India, innovation, learning, learning ecosystem, online learning, pedagogy, platforms, pooling resources, society, student-related, teaching & learning, teaching online, tools, UK, United States, universities, web-based collaboration, by Daniel Christian

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.

 

 

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Top 200 Tools for Learning 2017 [Center for Learning & Performance Technologies; Jane Hart]

On 10/06/2017, in 21st century, Adobe, adult learning, Asia, blogs / blogging, bots, business, Canada, CMS/LMS, colleges, communications, communities of practice, community colleges, content development, corporate / business world, corporate universities / corporate training, creativity, design, digital audio, digital learning, digital storytelling, digital video, e-publishing related items (EPUB and more), education, education technology, educational games / serious games, elearning, Europe, Facebook, global / globalization, Google, heutagogy, higher education, India, learning, learning ecosystem, Lifelong learning, Microsoft, Mobile learning, MOOCs -- Massive Open Online Courses, multimedia, online learning, online media, RSS, social learning / networks, social media, staying relevant, storytelling, streams of content, student-related, teachers, teaching & learning, tools, training / L&D, trends, twitter, UK, United States, universities, vendors, wearables, web design and production, by Daniel Christian

 

Excerpt:

The Top 200 Tools for Learning 2017 (11th Annual Survey) has been compiled by Jane Hart of the Centre for Learning & Performance Technologies from the votes of 2,174 learning professionals worldwide, together with 3 sub-lists

  • Top 100 Tools for Personal & Professional Learning (PPL)
  • Top 100 Tools for Workplace Learning (WPL)
  • Top 100 Tools for Education (EDU)

 

Excerpt from the Analysis page (emphasis DSC):

Here is a brief analysis of what’s on the list and what it tells us about the current state of personal learning, workplace learning and education.

Some facts

Some observations on what the Top Tools list tells us personal and professional learning
As in previous years, individuals continue to using a wide variety of:

  • networks, services and platforms for professional networking, communication and collaboration
  • web resources and courses for self-improvement and self-development
  • tools for personal productivity

All of which shows that many individuals have become highly independent, continuous modern professional learners – making their own decisions about what they need to learn and how to do it.

 

 

 

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Global Human Capital Report 2017 [World Economic Forum]

On 09/18/2017, in 21st century, adult learning, algorithms, Artificial Intelligence / Machine Learning / Deep Learning, Asia, Australia, Canada, career development, collaboration, communications, corporate / business world, corporate universities / corporate training, creativity, design, economics, education, education reform, Europe, future, game-changing environment, generational differences, global / globalization, heutagogy, higher education, ideas, India, innovation, K-12 related, leadership, learning, learning ecosystem, Lifelong learning, pace of change, reinvent, robotics, society, sociology, staying relevant, strategy, student-related, surviving, technology (general), training / L&D, trends, UK, United States, workplace, youth, by Daniel Christian

Global Human Capital Report 2017 — from the World Economic Forum

Excerpt from the Conclusion section (emphasis DSC):

Technological change and its impact on labour markets calls for a renewed focus on how the world’s human capital is invested in and leveraged for social well-being and economic prosperity for all. Many of today’s education systems are already disconnected from the skills needed to function in today’s labour markets and the exponential rate of technological and economic change is further increasing the gap between education and labour markets. Furthermore, the premise of current education systems is on developing cognitive skills, yet behavioural and non-cognitive skills that nurture an individual’s capacity to collaborate, innovate, self-direct and problem-solve are increasingly important. Current education systems are also time-compressed in a way that may not be suited to current or future labour markets. They force narrow career and expertise decisions in early youth. The divide between formal education and the labour market needs to be overcome, as learning, R&D, knowledge-sharing, retraining and innovation take place simultaneously throughout the work life cycle, regardless of the job, level or industry.

 

Insert from DSC…again I ask:

“Is is time to back up a major step and practice design thinking on the entire continuum of lifelong learning?”

 

Education delivery and financing mechanisms have gone through little change over the last decades. In many countries, many youth and children may find their paths constrained depending on the type of education they are able to afford, while others may not have access to even basic literacy and learning. On the other hand, many developed world education systems have made enormous increases in spending—with little explicit return. Early childhood education and teacher quality remain neglected areas in many developed and developing countries, despite their proven impact on learning outcomes. Both areas also suffer from lack of objective, global data.

Generational shifts also necessitate an urgent focus by governments on human capital investments, one that transcends political cycles. Ageing economies will face a historical first, as more and more of their populations cross into the 65 and over age group and their workforces shrink further, necessitating a better integration of youth, female workers, migrants and older workers. Many emerging economies face change of a different kind as a very large cohort of the next generation—one that is more connected and globalized than ever before—enters the workforce with very different aspirations, expectations and worldviews than their predecessors.

The expansion of the digital economy is accelerating the presence of a new kind of productive entity, somewhere between human capital and physical capital—robots and intelligent algorithms. As a result, some experts expect a potential reduction in the use of human labour as part of economic value creation while others expect a restructuring of the work done by people across economies but stable or growing overall levels of employment.19 Yet others have cautioned of the risks to economic productivity of technological reticence at the cost of realizing the raw potential of new technological advancements unfettered.20 While in the immediate term the link between work and livelihoods remains a basic feature of our societies, the uncertainty around the shifts underway poses fundamental questions about the long-term future structure of economies, societies and work. However, for broad-based transition and successful adaptation towards any one of these or other long-term futures, strategic and deep investments in human capital will be even more—not less—important than before.

 

 

 

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