Summary of the #LrnSciChat on 19 February 2019 on
Dual Coding in Learning and Teaching. — from wakelet.com
Dual coding is simply combining verbal and visual information to enrich the learning experience.
Dr. C. Kuepper-Tetzel
Also see the posters out at The Learning Scientists website.
From DSC:
In a next generation learning system, it would be sharp/beneficial to have a Netflix-like interface to check out potential functionalities that you could turn on and off (at will) — as one component of your learning ecosystem that could feature a setup located in your living room or office.
For example, put a Netflix-like interface to the apps out at eduappcenter.com (i.e., using a rolling interface at first, then going to a static page/listing of apps…again…similar to Netflix).
Accenture Technology Vision 2019: The post-digital era is upon us — from accenture.com
In brief
Here is the link for the report.
UIX: When the future comes to West Michigan, will we be ready? — from rapidgrowthmedia.com by Matthew Russell
Excerpts (emphasis DSC):
“Here in the United States, if we were to personify things a bit, it’s almost like society is anxiously calling out to an older sibling (i.e., emerging technologies), ‘Heh! Wait up!!!'” Christian says. “This trend has numerous ramifications.”
Out of those ramifications, Christian names three main points that society will have to address to fully understand, make use of, and make practical, future technologies.
Photos by Adam Bird
From DSC:
The key thing that I was trying to relay in my contribution towards Matthew’s helpful article was that we are now on an exponential trajectory of technological change. This trend has ramifications for numerous societies around the globe, and it involves the legal realm as well. Hopefully, all of us in the workforce are coming to realize our need to be constantly pulse-checking the relevant landscapes around us. To help make that happen, each of us needs to be tapping into the appropriate “streams of content” that are relevant to our careers so that our knowledgebases are as up-to-date as possible. We’re all into lifelong learning now, right?
Along these lines, increasingly there is a need for futurism to hit the mainstream. That is, when the world is moving at 120+mph, the skills and methods that futurists follow must be better taught and understood, or many people will be broadsided by the changes brought about by emerging technologies. We need to better pulse-check the relevant landscapes, anticipate the oncoming changes, develop potential scenarios, and then design the strategies to respond to those potential scenarios.
LinkedIn Learning Opens Its Platform (Slightly) — from edsurge by Jeff Young
Excerpt (emphasis DSC):
A few years ago, in a move toward professional learning, LinkedIn bought Lynda.com for $1.5 billion, adding the well-known library of video-based courses to its professional social network. Today LinkedIn officials announced that they plan to open up their platform to let in educational videos from other providers as well—but with a catch or two.
The plan, announced Friday, is to let companies or colleges who already subscribe to LinkedIn Learning add content from a select group of other providers. The company or college will still have to subscribe to those other services separately, so it’s essentially an integration—but it does mark a change in approach.
For LinkedIn, the goal is to become the front door for employees as they look for micro-courses for professional development.
LinkedIn also announced another service for its LinkedIn Learning platform called Q&A, which will give subscribers the ability to pose a question they have about the video lessons they’re taking. The question will first be sent to bots, but if that doesn’t yield an answer the query will be sent on to other learners, and in some cases the instructor who created the videos.
Also see:
LinkedIn becomes a serious open learning experience platform — from clomedia.com by Josh Bersin
LinkedIn is becoming a dominant learning solution with some pretty interesting competitive advantages, according to one learning analyst.
Excerpt:
LinkedIn has become quite a juggernaut in the corporate learning market. Last time I checked the company had more than 17 million users, 14,000 corporate customers, more than 3,000 courses and was growing at high double-digit rates. And all this in only about two years.
And the company just threw down the gauntlet; it’s now announcing it has completely opened up its learning platform to external content partners. This is the company’s formal announcement that LinkedIn Learning is not just an amazing array of content, it is a corporate learning platform. The company wants to become a single place for all organizational learning content.
LinkedIn now offers skills-based learning recommendations to any user through its machine learning algorithms.
Is there demand for staying relevant? For learning new skills? For reinventing oneself?
From DSC:
So…look out higher ed and traditional forms of accreditation — your window of opportunity may be starting to close. Alternatives to traditional higher ed continue to appear on the scene and gain momentum. LinkedIn — and/or similar organizations in the future — along with blockchain and big data backed efforts may gain traction in the future and start taking away some major market share. If employers get solid performance from their employees who have gone this route…higher ed better look out.
Microsoft/LinkedIn/Lynda.com are nicely positioned to be a major player who can offer society a next generation learning platform at an incredible price — offering up-to-date, microlearning along with new forms of credentialing. It’s what I’ve been calling the Amazon.com of higher ed (previously the Walmart of Education) for ~10 years. It will take place in a strategy/platform similar to this one.
Also see:
Social media as a learning tool: Five suggested sses for the classroom — from frontierinternet.com; with thanks to Laura Tscholl, Communications Specialist | The Gateway for this resource
Academics Propose a ‘Blockchain University,’ Where Faculty (and Algorithms) Rule — from edsurge.com by Jeff Young
Excerpt:
A group of academics affiliated with Oxford University have proposed a new model of higher education that replaces traditional administrators with “smart contracts” on the blockchain, the same technology that drives Bitcoin and other cryptocurrencies.
“Our aim is to create a university in which the bulk of administrative tasks are either eliminated or progressively automated,” said the effort’s founders in a white paper released earlier this year. Those proposing the idea added the university would be “a decentralised, non-profit, democratic community in which the use of blockchain technology will provide the contractual stability needed to pursue a full course of study.”
Experiments with blockchain in higher education are underway at multiple campuses around the country, and many of researchers are looking into how to use the technology to verify and deliver credentials. Massachusetts Institute for Technology, for example, began issuing diplomas via blockchain last year.
The plan by Oxford researchers goes beyond digital diplomas—and beyond many typical proposals to disrupt education in general. It argues for a completely new framework for how college is organized, how professors are paid, and how students connect with learning. In other words, it’s a long shot.
But even if the proposed platform never emerges, it is likely to spur debates about whether blockchain technology could one day allow professors to reclaim greater control of how higher education operates through digital contracts.
The platform would essentially allow professors to organize their own colleges, and teach and take payments from students directly. “
Inside Amazon’s artificial intelligence flywheel — from wired.com by Steven Levy
How deep learning came to power Alexa, Amazon Web Services, and nearly every other division of the company.
Excerpt (emphasis DSC):
Amazon loves to use the word flywheel to describe how various parts of its massive business work as a single perpetual motion machine. It now has a powerful AI flywheel, where machine-learning innovations in one part of the company fuel the efforts of other teams, who in turn can build products or offer services to affect other groups, or even the company at large. Offering its machine-learning platforms to outsiders as a paid service makes the effort itself profitable—and in certain cases scoops up yet more data to level up the technology even more.
It took a lot of six-pagers to transform Amazon from a deep-learning wannabe into a formidable power. The results of this transformation can be seen throughout the company—including in a recommendations system that now runs on a totally new machine-learning infrastructure. Amazon is smarter in suggesting what you should read next, what items you should add to your shopping list, and what movie you might want to watch tonight. And this year Thirumalai started a new job, heading Amazon search, where he intends to use deep learning in every aspect of the service.
“If you asked me seven or eight years ago how big a force Amazon was in AI, I would have said, ‘They aren’t,’” says Pedro Domingos, a top computer science professor at the University of Washington. “But they have really come on aggressively. Now they are becoming a force.”
Maybe the force.
From DSC:
When will we begin to see more mainstream recommendation engines for learning-based materials? With the demand for people to reinvent themselves, such a next generation learning platform can’t come soon enough!
![The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV](http://danielschristian.com/learning-ecosystems/wp-content/uploads/2012/07/The-Living-Class-Room-Daniel-S-Christian-July-2012.jpg)
We’re about to embark on a period in American history where career reinvention will be critical, perhaps more so than it’s ever been before. In the next decade, as many as 50 million American workers—a third of the total—will need to change careers, according to McKinsey Global Institute. Automation, in the form of AI (artificial intelligence) and RPA (robotic process automation), is the primary driver. McKinsey observes: “There are few precedents in which societies have successfully retrained such large numbers of people.”
Also relevant/see:
Online education’s expansion continues in higher ed with a focus on tech skills — from educationdive.com by James Paterson
Dive Brief:
What does the Top Tools for Learning 2018 list tell us about the future direction of L&D? — from modernworkplacelearning.com by Jane Hart
Excerpt:
But for me 3 key things jump out:
In other words, many people now see workplace learning as not just something that happens irregularly in corporate training, but as a continuous and on demand activity.
From DSC:
Reminds me of tapping into — and contributing towards — streams of content. All the time. Continuous, lifelong learning.
3 trends shaping the future world of work — from hrtechnologist.com by Becky Frankiewicz, President of Manpower Group North America
Excerpt:
In a world of constant change, continuity has given way to adaptability. It’s no secret the world of work has changed. Yet today it’s changing faster than ever before.
The impact of technology means new skills and new roles are emerging as fast as others become extinct.
My career path is a case in point. When I entered high school, I intended to follow a linear career path similar to generations before me. Pick a discipline, get a degree, commit to it, retire. Now in my fourth career, that’s not how it worked out, and I’m glad. In fact, the only true constant I’ve had is constant learning. Because success in the future won’t be defined by performance, but by potential and the ability to learn, apply and adapt.
From Jobs for Life to Skills for Life
Each day we see firsthand technology’s impact on jobs. 65% of the jobs my three daughters will do don’t even exist yet. Employability is less about what you already know and more about your capacity to learn. It requires a new mindset for us to develop a workforce with the right skillsets, and for individuals seeking to advance their careers. We need to be ready to help upskill and reskill people for new jobs and new roles.
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