Michelle Weise: ‘We Need to Design the Learning Ecosystem of the Future’ — from edsurge.com  by Michelle Weise

Excerpts:

These days, education reformers, evangelists and foundations pay a lot of lip service to the notion of lifelong learning, but we do little to invest in the systems, architecture and infrastructure needed to facilitate seamless movements in and out of learning and work.

Talk of lifelong learning doesn’t translate into action. In fact, resources and funding are often geared toward the traditional 17- to 22-year-old college-going population and less often to working adults, our growing new-traditional student population.

We’ll need a different investment thesis: For most adults, taking time off work to attend classes at a local, brick-and-mortar community college or a four-year institution will not be the answer. The opportunity costs will be too high. Our current system of traditional higher education is ill-suited to facilitate flexible, seamless cost-effective learning pathways for these students to keep up with the emergent demands of the workforce.

Many adults may have no interest in coming back to college. Out of the 37 million Americans with some college and no degree, many have already failed one or twice before and will be wholly uninterested in experiencing more educational trauma.We can’t just say, “Here’s a MOOC, or here’s an online degree, or a 6- to 12-week immersive bootcamp.”

 

We have to do better. Let’s begin seeding the foundational elements of a learning ecosystem of the future—flexible enough for adults to move consistently in and out of learning and work. Enough talk about lifelong learning: Let’s build the foundations of that learning ecosystem of the future.

 

 

From DSC:
I couldn’t agree more with Michelle that we need a new learning ecosystem of the future. In fact, I have been calling such an effort “Learning from the Living [Class] Room — and it outlines a next generation learning platform that aims to deliver everything Michelle talks about in her solid article out at edsurge.com.

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

 

Along these lines…I just saw that Amazon is building out more cashierless stores (and Walmart is also at work on introducing more cashierless stores.) Now, let’s say that you are currently a cashier. 2-5 years from now (depending upon where you’re currently working and which stores are in your community), what are you going to do? The opportunities for such a position will be fewer and fewer. Who can help you do what Michelle mentioned here:

Working learners will also need help articulating their learning goals and envisioning a future for themselves. People don’t know how to translate their skills from one industry to another. How does a student begin to understand that 30% of what they already know could be channeled into a totally different and potentially promising pathway they never even knew was within reach?

And that cashier may have had a tough time with K-12 education and/or with higher education. As Michelle writes:

Many adults may have no interest in coming back to college. Out of the 37 million Americans with some college and no degree, many have already failed one or twice before and will be wholly uninterested in experiencing more educational trauma. We can’t just say, “Here’s a MOOC, or here’s an online degree, or a 6- to 12-week immersive bootcamp.”

And like the cashier in this example…we are quickly approaching an era where, I believe, many of us will need to reinvent ourselves in order to:

  • stay marketable
  • keep bread and butter on the table
  • continue to have a sense of purpose and meaning in our lives

Higher ed, if it wants to remain relevant, must pick up the pace of experimentation and increase the willingness to innovate, and to develop new business models — to develop new “learning channels” so to speak. Such channels need to be:

  • Up-to-date
  • Serving relevant data and information– especially regarding the job market and which jobs appear to be safe for the next 5-10 years
  • Inexpensive/affordable
  • Highly convenient

 

 

 

Tech companies should stop pretending AI won’t destroy jobs — from technologyreview.com / MIT Technology Review by Kai-Fu Lee
No matter what anyone tells you, we’re not ready for the massive societal upheavals on the way.

Excerpt (emphasis DSC):

The rise of China as an AI superpower isn’t a big deal just for China. The competition between the US and China has sparked intense advances in AI that will be impossible to stop anywhere. The change will be massive, and not all of it good. Inequality will widen. As my Uber driver in Cambridge has already intuited, AI will displace a large number of jobs, which will cause social discontent. Consider the progress of Google DeepMind’s AlphaGo software, which beat the best human players of the board game Go in early 2016. It was subsequently bested by AlphaGo Zero, introduced in 2017, which learned by playing games against itself and within 40 days was superior to all the earlier versions. Now imagine those improvements transferring to areas like customer service, telemarketing, assembly lines, reception desks, truck driving, and other routine blue-collar and white-­collar work. It will soon be obvious that half of our job tasks can be done better at almost no cost by AI and robots. This will be the fastest transition humankind has experienced, and we’re not ready for it.

And finally, there are those who deny that AI has any downside at all—which is the position taken by many of the largest AI companies. It’s unfortunate that AI experts aren’t trying to solve the problem. What’s worse, and unbelievably selfish, is that they actually refuse to acknowledge the problem exists in the first place.

These changes are coming, and we need to tell the truth and the whole truth. We need to find the jobs that AI can’t do and train people to do them. We need to reinvent education. These will be the best of times and the worst of times. If we act rationally and quickly, we can bask in what’s best rather than wallow in what’s worst.

 

From DSC:
If a business has a choice between hiring a human being or having the job done by a piece of software and/or by a robot, which do you think they’ll go with? My guess? It’s all about the money — whichever/whomever will be less expensive will get the job.

However, that way of thinking may cause enormous social unrest if the software and robots leave human beings in the (job search) dust. Do we, as a society, win with this way of thinking? To me, it’s capitalism gone astray. We aren’t caring enough for our fellow members of the human race, people who have to put bread and butter on their tables. People who have to support their families. People who want to make solid contributions to society and/or to pursue their vocation/callings — to have/find purpose in their lives.

 

Others think we’ll be saved by a universal basic income. “Take the extra money made by AI and distribute it to the people who lost their jobs,” they say. “This additional income will help people find their new path, and replace other types of social welfare.” But UBI doesn’t address people’s loss of dignity or meet their need to feel useful. It’s just a convenient way for a beneficiary of the AI revolution to sit back and do nothing.

 

 

To Fight Fatal Infections, Hospitals May Turn to Algorithms — from scientificamerican.com by John McQuaid
Machine learning could speed up diagnoses and improve accuracy

Excerpt:

The CDI algorithm—based on a form of artificial intelligence called machine learning—is at the leading edge of a technological wave starting to hit the U.S. health care industry. After years of experimentation, machine learning’s predictive powers are well-established, and it is poised to move from labs to broad real-world applications, said Zeeshan Syed, who directs Stanford University’s Clinical Inference and Algorithms Program.

“The implications of machine learning are profound,” Syed said. “Yet it also promises to be an unpredictable, disruptive force—likely to alter the way medical decisions are made and put some people out of work.

 

 

Lawyer-Bots Are Shaking Up Jobs — from technologyreview.com by Erin Winick

Excerpt:

Meticulous research, deep study of case law, and intricate argument-building—lawyers have used similar methods to ply their trade for hundreds of years. But they’d better watch out, because artificial intelligence is moving in on the field.

As of 2016, there were over 1,300,000 licensed lawyers and 200,000 paralegals in the U.S. Consultancy group McKinsey estimates that 22 percent of a lawyer’s job and 35 percent of a law clerk’s job can be automated, which means that while humanity won’t be completely overtaken, major businesses and career adjustments aren’t far off (see “Is Technology About to Decimate White-Collar Work?”). In some cases, they’re already here.

 

“If I was the parent of a law student, I would be concerned a bit,” says Todd Solomon, a partner at the law firm McDermott Will & Emery, based in Chicago. “There are fewer opportunities for young lawyers to get trained, and that’s the case outside of AI already. But if you add AI onto that, there are ways that is advancement, and there are ways it is hurting us as well.”

 

So far, AI-powered document discovery tools have had the biggest impact on the field. By training on millions of existing documents, case files, and legal briefs, a machine-learning algorithm can learn to flag the appropriate sources a lawyer needs to craft a case, often more successfully than humans. For example, JPMorgan announced earlier this year that it is using software called Contract Intelligence, or COIN, which can in seconds perform document review tasks that took legal aides 360,000 hours.

People fresh out of law school won’t be spared the impact of automation either. Document-based grunt work is typically a key training ground for first-year associate lawyers, and AI-based products are already stepping in. CaseMine, a legal technology company based in India, builds on document discovery software with what it calls its “virtual associate,” CaseIQ. The system takes an uploaded brief and suggests changes to make it more authoritative, while providing additional documents that can strengthen a lawyer’s arguments.

 

 

Lessons From Artificial Intelligence Pioneers — from gartner.com by Christy Pettey

CIOs are struggling to accelerate deployment of artificial intelligence (AI). A recent Gartner survey of global CIOs found that only 4% of respondents had deployed AI. However, the survey also found that one-fifth of the CIOs are already piloting or planning to pilot AI in the short term.

Such ambition puts these leaders in a challenging position. AI efforts are already stressing staff, skills, and the readiness of in-house and third-party AI products and services. Without effective strategic plans for AI, organizations risk wasting money, falling short in performance and falling behind their business rivals.

Pursue small-scale plans likely to deliver small-scale payoffs that will offer lessons for larger implementations

“AI is just starting to become useful to organizations but many will find that AI faces the usual obstacles to progress of any unproven and unfamiliar technology,” says Whit Andrews, vice president and distinguished analyst at Gartner. “However, early AI projects offer valuable lessons and perspectives for enterprise architecture and technology innovation leaders embarking on pilots and more formal AI efforts.”

So what lessons can we learn from these early AI pioneers?

 

 

Why Artificial Intelligence Researchers Should Be More Paranoid — from wired.com by Tom Simonite

Excerpt:

What to do about that? The report’s main recommendation is that people and companies developing AI technology discuss safety and security more actively and openly—including with policymakers. It also asks AI researchers to adopt a more paranoid mindset and consider how enemies or attackers might repurpose their technologies before releasing them.

 

 

How to Prepare College Graduates for an AI World — from wsj.com by
Northeastern University President Joseph Aoun says schools need to change their focus, quickly

Excerpt:

WSJ: What about adults who are already in the workforce?

DR. AOUN: Society has to provide ways, and higher education has to provide ways, for people to re-educate themselves, reskill themselves or upskill themselves.

That is the part that I see that higher education has not embraced. That’s where there is an enormous opportunity. We look at lifelong learning in higher education as an ancillary operation, as a second-class operation in many cases. We dabble with it, we try to make money out of it, but we don’t embrace it as part of our core mission.

 

 

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:

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.

 

 

 

 

5 benefits of using Augmented & Virtual Reality Technologies in eLearning — from elearningindustry.com by Christoper Pappas
Are you looking for ways to make your eLearning course stand out from the crowd? What if I told you there is technology that can help you achieve not only that but also increase online learner engagement and motivation? In this article, I’ll share the most notable benefits of using Augmented and Virtual Reality technologies in your eLearning course.

Excerpt:

Although their full implications are yet to be explored, alternate reality technologies make eLearning more engaging and productive. They are here to stay, and who knows what benefits they will bring to future learners. As the technology evolves, so too will the applications in eLearning. Which is why it’s essential for eLearning pros to keep up with cutting-edge tech and think of new and innovative uses for AR and VR tools.

 

 

 

National Museum of Finland Offers Virtual Time Travel — from vrfocus.com by
Visitors can step into the world of Finland in 1863 with the power of virtual reality.

 

National Museum of Finland Offers Virtual Time Travel

 

 

Every type of AR and VR explained, from Rift to HoloLens and beyond — from t3.com by David Nield
Know your augmented from your virtual

 

 

 

 

 

 

Augmented reality lets doctors peer inside the body like never before — from nbcnews.com by Tom Metcalfe
New devices will end ‘historic disconnect’ in doctors’ treatments of patients.

Excerpt:

Augmented reality (AR) technologies that blend computer-generated images and data from MRI and CT scans with real-world views are making it possible for doctors to “see under the skin” of their patients to visualize bones, muscles, and internal organs without having to cut open a body.

Experts say AR will transform medical care by improving precision during operations, reducing medical errors, and giving doctors and patients alike a better understanding of complex medical problems.

 

 

 

Healthcare VR innovations are healing patients — from cio.com by Peter Nichol
Virtual reality is healing patients with augmented technologies. The patient experience has been transformed. Welcome to the era of engaged recovery — the new world of healing.

Excerpt:

Three emerging realities will change the hospital experience with unparalleled possibilities:

  • Virtual reality (VR): full immersion, a simulated reality.
  • Mixed reality: partial immersion, virtual objects in a real world.
  • Augmented reality (AR): information overlay, simulated information on top of the real world.

Today, we’ll explore how advances in virtual reality are creating worlds that heal.

The next generation of clinical education
The list of possibilities for VR is endless. Augmented and virtual reality medical solutions are removing distractions, improving the quality of critical thinking, and maturing learning solutions, saving time and money while supercharging the learning experience. Explosive developments in 3D virtual and augmented reality have taken clinical education and hands-on learning to the next level.

Innovation is ever present in the virtual reality space for healthcare.

  • Mindmaze has developed a breakthrough platform to build intuitive human-machine interfaces combining virtual reality, computer graphics, brain imaging and neuroscience.
  • MindMotionPRO is a healthcare product offering immersive virtual reality solutions for early motor rehabilitation in stroke patients.
  • Live 360 uses consumer-level virtual reality devices such as the Oculus Rift.
  • Medical Realities offers systems designed to reduce the cost of training.
  • ImmersiveTouch is a surgical virtual reality technology that offers a realistic surgical touch and feel. It also brings patient images to life with AR and VR imaging.
  • BioFlight VR offers a broad range of medical VR and AR services, including VR training and simulations, AR training, behavior modification and 360-degree video.
  • Zspace is an immersive medical learning platform, virtualizing anatomical representations into complete procedural planning. zSpace brings a new dimension to medical learning and visualization across three spaces: gross anatomy VR lab (13,000 plus anatomical objects), teaching presentation view (share the teaching experience with the class via HD TV) and DICOM Viewer (volumetrically render 2D DICOM slices).

 

EyeSim

 

 

 

Digital reality A technical primer — from deloitte.com

Excerpt:

Digital reality is generally defined as the wide spectrum of technologies and capabilities that inhere in AR, VR, MR, 360° video, and the immersive experience, enabling simulation of reality in various ways (see figure 1).

 

 

 

 

Key players in digital reality

In terms of key players, the digital reality space can be divided into areas of activity:

  • Tools/content—platforms, apps, capture tools, etc.
  • Application content—information from industry, analytics, social, etc.
  • Infrastructure—hardware, data systems, HMDs, etc.

Increasing investment in infrastructure may drive the growth of software and content, leading to new practical applications and, possibly, an infusion of digital reality software development talent.

 

 

 

 

This All-Female Founders Pitch Event Was Held in VR — from vrscout.com by Malia Probst
Hailing from 26 countries across the world, people came together in virtual reality to cheer on these top female founders in the XR industry.

 

 

 

 

 

How AR, VR and MR can Revolutionise Consumer Tech — from kazendi.com by Pauline Hohl

Excerpt:

Enterprise leading consumer tech adoption
Concerning the need for a VR/AR eco system Max referred to the challenge of technology adoption: people need to be able to try different use cases and be convinced about the potential of AR ,VR and MR. In order to become available (and affordable) for consumers, the technology would have to be adapted by businesses first as the story of 3D printing shows as one example.

He also highlighted the importance of the right training for users to reduce the general learning curve for immersive technology. Poor instructions in the first instance can lead to bad user experiences and cause doubt and even a dismissall of ‘new’ technologies.

We see this firsthand at Kazendi when users try out Microsoft HoloLens for the first time. Max commented that: ‘When people try to make the basic hand gestures and fail they often take the device off and say it’s broken.’

We do have a robust entry demo process to combat this but at the consumer level, and this is as true for VR as much as it is for MR and AR, there is little room for error when learning curves are concerned.

 

 

 

 

 

Mapping the Trends on Our Doorstep: The Pace of Change Has Changed — from an article that I did out at — and with — evoLLLution.com [where LLL stands for lifelong learning]; my thanks to Mr. Amrit Ahluwalia, Managing Editor out at evolllution.com and to his staff as well!
The higher education industry has changed significantly over the past decade, and given the pace and significance of change hitting other industries as a result of technological advances, it’s fair to say the postsecondary space is ripe for further transformation.

 

From DSC:
From the perspective of those of us working within higher education, we see massive changes occurring in the corporate world, and we see innovations and changes also occurring in the world of K-12. Higher education should also be adapting, changing, questioning, and reflecting upon how we can best prepare our students for a rapidly changing workplace.

Below is another interesting item that I believe gives credence to the idea that we are now on an exponential pace of change. Companies are coming and going on the S&P Index…at an ever faster pace.

The 33-year average tenure of companies on the S&P 500 in 1964 narrowed to 24 years by 2016 and is forecast to shrink to just 12 years by 2027 (Chart 1).

 

Here is the video:

This is the transcript with the original graphs in it.

This is a nice PDF file from evoLLLution.com with the transcript, with some different graphics and some other

 

 

 

 

From DSC:
Here’s a quote that has been excerpted from the announcement below…and it’s the type of service that will be offered in our future learning ecosystems — our next generation learning platforms:

 

Career Insight™ enables prospective students to identify programs of study which can help them land the careers they want: Career Insight™ describes labor market opportunities associated with programs of study to prospective students. The recommendation engine also matches prospective students to programs based on specific career interests.

 

But in addition to our future learning platforms pointing new/prospective students to physical campuses, the recommendation engines will also provide immediate access to digital playlists for the prospective students/learners to pursue from their living rooms (or as they are out and about…i.e., mobile access).

 

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

 

 

Artificial intelligence working with enormous databases to build/update recommendation engines…yup, I could see that. Lifelong learning. Helping people know what to reinvent themselves to.

 

 


 

Career Insight™ Lets Prospective Students Connect Academic Program Choices to Career Goals — from burning-glass.com; also from Hadley Dreibelbis from Finn Partners
New Burning Glass Technologies Product Brings Job Data into Enrollment Decisions

BOSTON—Burning Glass Technologies announces the launch of Career Insight™, the first tool to show prospective students exactly how course enrollment will advance their careers.

Embedded in institutional sites and powered by Burning Glass’ unparalleled job market data, Career Insight’s personalized recommendation engine matches prospective students with programs based on their interests and goals. Career Insight will enable students to make smarter decisions, as well as improve conversion and retention rates for postsecondary institutions.

“A recent Gallup survey found that 58% of students say career outcomes are the most important reason to continue their education,” Burning Glass CEO Matthew Sigelman said. “That’s particularly true for the working learners who are now the norm on college campuses. Career Insight™ is a major step in making sure that colleges and universities can speak their language from the very first.”

Beginning an educational program with a firm, realistic career goal can help students persist in their studies. Currently only 29% of students in two-year colleges and 59% of those in four-year institutions complete their degrees within six years.

Career Insight™ enables prospective students to identify programs of study which can help them land the careers they want:

  • Career Insight™ describes labor market opportunities associated with programs of study to prospective students. The recommendation engine also matches prospective students to programs based on specific career interests.
  • The application provides insights to enrollment, advising, and marketing teams into what motivates prospective students, analysis that will guide the institution in improving program offerings and boosting conversion.
  • Enrollment advisors can also walk students through different career and program scenarios in real time.

Career Insight™ is driven by the Burning Glass database of a billion job postings and career histories, collected from more than 40,000 online sources daily. The database, powered by a proprietary analytic taxonomy, provides insight into what employers need much faster and in more detail than any other sources.

Career Insight™ is powered by the same rich dataset Burning Glass delivers to hundreds of leading corporate and education customers – from Microsoft and Accenture to Harvard University and Coursera.

More information is available at http://burning-glass.com/career-insight.

 


 

 

Faculty Learning Communities: Making the Connection, Virtually — from by Angela Atwell, Cristina Cottom, Lisa Martino, and Sara Ombres

Excerpt (emphasis DSC):

Research has shown that interactions with peers promotes faculty engagement (McKenna, Johnson, Yoder, Guerra, & Pimmel, 2016). Faculty learning communities (FLC) have become very popular in recent years. FLCs focus on improving teaching and learning practice through collaboration and community building (Cox, 2001). Usually, FLCs are face-to-face meetings hosted at a physical location at a specific date and time. We understand the benefit of this type of experience. However, we recognize online instructors will likely find it difficult to participate in a traditional FLC. So, we set out to integrate FLC principles to provide our faculty, living and working all over the globe, a similar experience.

Recently, our Center for Teaching and Learning Excellence took the plunge and offered a Virtual Faculty Learning Community (V-FLC) for instructors at our Worldwide Campus. The first experience was open only to adjunct instructors teaching online. The experience was asynchronous, lasted eight weeks, and focused on best practices for online teaching and learning. Within our Learning Management System, faculty led and participated in discussions around the topics that were of interest to them. Most topics focused on teaching practices and ways to enhance the online experience. However, other topics bridged the gap between teaching online and general best teaching practices. 

 

 

 

Paying for Personalized Learning — from thejournal.com by Dian Schaffhauser

Excerpt:

Just how much does it cost to set up a personalized learning plan for an entire school, and is it really sustainable? Could a typical school budget cover the expense — and what would happen if budget cuts had to be made? Those are the questions addressed in a new report out from LEAP Innovations and Afton Partners. LEAP works directly with schools to implement personalized learning; Afton focuses on financial and operational efficiency aspects of public school districts and charter schools.

A joint study examined six district and charter schools in Chicago Public Schools that have implemented personalized learning models over the last two years. All of the schools are part of LEAP’s Breakthrough Schools initiative, which supports the launch of innovative school models.

 

 

 

 

 

For the schools in the study, introducing personalized learning models throughout the entire building required “modest investment to start.” Start-up costs ranged from $338,000 to $780,000; on a per-pupil basis that was between $233 and $1,135. The models could be sustained “without ongoing grant funding on typical district budgets,” even during severe budget cuts, Afton reported.

The report offered a series of recommendations on improving the cost effectiveness of personalized learning and scaling the personalized learning model. Among the advice:

  • Make sure principals understand the flexibilities regarding funding and other categories that are at their disposal;
  • Try piloting a compensation structure that supports the teacher-leader model;
  • Combine resources across a district for common unmet needs, such as adoption or development of a learning management system; and
  • Be strategic in the use of grant funding; for example, develop a five-year financial plan that shows how the models will remain sustainable even after the grant-funding expires.

 

 

 

Also see:

 

 

Excerpt:

This report represents an exciting beginning. For any innovation to take hold, it must be effective and sustainable. Already, we’re seeing promising indicators of success: increases in scores on the Northwest Evaluation Association (NWEA) Measures of Academic Progress (MAP) test, taken by all Chicago Public Schools elementary students, in one Breakthrough Schools third-grade pilot classroom were striking. The school reports that reading attainment increased 51 percent in one year – growing from 35 percent of students meeting attainment benchmarks in 2015-2016 to 86 percent in 2016-2017. Their math results were equally impressive, reporting a 45 percent growth in student attainment – moving from 46 percent of students meeting attainment benchmarks to 91 percent within one school year. And as we outline here, not only can innovative school models be sustainable, but their innovative structures can make them so.

 

 

 

How to Use Questions to Promote Student Learning — from scholarlyteacher.com by Spencer Benson

Excerpt:

Developing Faculty Generated Questions
Developing good questions that enhance student learning and engage all students is difficult. The challenge is constructing questions that engage learning and are “un-Googleable” meaning that students cannot find the answer with a simple online search engine. Some ways to help make questions “un-Googleable” are to

  • Avoid questions that simply ask for facts or definitions,
  • Ask the students to answer the questions based on their own personal experience,
  • Ask students for their personal opinion on an issue,
  • Ask students to describe the answer a different person might give, e.g., a relative, a famous person (historic or present), the textbook or assigned readings author, etc.

 

 

These three questions align with the various levels of Bloom’s cognitive taxonomy, “what” asks about facts and content (remembering), “how” asks about relationships (understanding and analyzing), and “why” asks about higher cognitive level skills (creating and evaluating).

 

 

 

From DSC:
DC: Will Amazon get into delivering education/degrees? Is is working on a next generation learning platform that could highly disrupt the world of higher education? Hmmm…time will tell.

But Amazon has a way of getting into entirely new industries. From its roots as an online bookseller, it has branched off into numerous other arenas. It has the infrastructure, talent, and the deep pockets to bring about the next generation learning platform that I’ve been tracking for years. It is only one of a handful of companies that could pull this type of endeavor off.

And now, we see articles like these:


Amazon Snags a Higher Ed Superstar — from insidehighered.com by Doug Lederman
Candace Thille, a pioneer in the science of learning, takes a leave from Stanford to help the ambitious retailer better train its workers, with implications that could extend far beyond the company.

Excerpt:

A major force in the higher education technology and learning space has quietly begun working with a major corporate force in — well, in almost everything else.

Candace Thille, a pioneer in learning science and open educational delivery, has taken a leave of absence from Stanford University for a position at Amazon, the massive (and getting bigger by the day) retailer.

Thille’s title, as confirmed by an Amazon spokeswoman: director of learning science and engineering. In that capacity, the spokeswoman said, Thille will work “with our Global Learning Development Team to scale and innovate workplace learning at Amazon.”

No further details were forthcoming, and Thille herself said she was “taking time away” from Stanford to work on a project she was “not really at liberty to discuss.”

 

Amazon is quietly becoming its own university — from qz.com by Amy Wang

Excerpt:

Jeff Bezos’ Amazon empire—which recently dabbled in home security, opened artificial intelligence-powered grocery stores, and started planning a second headquarters (and manufactured a vicious national competition out of it)—has not been idle in 2018.

The e-commerce/retail/food/books/cloud-computing/etc company made another move this week that, while nowhere near as flashy as the above efforts, tells of curious things to come. Amazon has hired Candace Thille, a leader in learning science, cognitive science, and open education at Stanford University, to be “director of learning science and engineering.” A spokesperson told Inside Higher Ed that Thille will work “with our Global Learning Development Team to scale and innovate workplace learning at Amazon”; Thille herself said she is “not really at liberty to discuss” her new project.

What could Amazon want with a higher education expert? The company already has footholds in the learning market, running several educational resource platforms. But Thille is famous specifically for her data-driven work, conducted at Stanford and Carnegie Mellon University, on nontraditional ways of learning, teaching, and training—all of which are perfect, perhaps even necessary, for the education of employees.

 


From DSC:
It could just be that Amazon is simply building its own corporate university and will stay focused on developing its own employees and its own corporate learning platform/offerings — and/or perhaps license their new platform to other corporations.

But from my perspective, Amazon continues to work on pieces of a powerful puzzle, one that could eventually involve providing learning experiences to lifelong learners:

  • Personal assistants
  • Voice recognition / Natural Language Processing (NLP)
  • The development of “skills” at an incredible pace
  • Personalized recommendation engines
  • Cloud computing and more

If Alexa were to get integrated into a AI-based platform for personalized learning — one that features up-to-date recommendation engines that can identify and personalize/point out the relevant critical needs in the workplace for learners — better look out higher ed! Better look out if such a platform could interactively deliver (and assess) the bulk of the content that essentially does the heavy initial lifting of someone learning about a particular topic.

Amazon will be able to deliver a cloud-based platform, with cloud-based learner profiles and blockchain-based technologies, at a greatly reduced cost. Think about it. No physical footprints to build and maintain, no lawns to mow, no heating bills to pay, no coaches making $X million a year, etc.  AI-driven recommendations for digital playlists. Links to the most in demand jobs — accompanied by job descriptions, required skills & qualifications, and courses/modules to take in order to master those jobs.

Such a solution would still need professors, instructional designers, multimedia specialists, copyright experts, etc., but they’ll be able to deliver up-to-date content at greatly reduced costs. That’s my bet. And that’s why I now call this potential development The New Amazon.com of Higher Education.

[Microsoft — with their purchase of Linked In (who had previously
purchased Lynda.com) — is
another such potential contender.]

 

 

 

The NEW Periodic Table of iOS Apps for AR and VR — from ictevangelist.com by Mark Anderson

 

You can download a high-quality version of the table here.

 

 

 

Lenovo is including its standalone Daydream headset in classroom VR kits starting this Spring — from 9to5google.com by Ben Schoon

 

 

 

 

Our Screenless Future Calls For Augmented Parenting — from fastcompany.com by Anya Kamenetz
How will parents manage their children’s screen time when there are no screens?

 

 

 

8 ways augmented and virtual reality are changing medicine — from israel21c.org by Abigail Klein Leichman
Israeli companies are using futuristic technologies to simplify complex surgery, manage rehab, relieve pain, soothe autistic kids and much more.

 

 

 

 

Augmented reality system lets doctors see under patients’ skin without the scalpel — from ualberta.ca by Katie Willis
New technology lets clinicians see patients’ internal anatomy displayed right on the body.

 

 

 

27 Mixed Reality (MR / AR) Influencers to Follow in 2018 — from by Mark Metry
Influencers to Follow in 2018

 

 

 

DAQRI Founder’s Passionate TED Talk on Potential Impact of Augmented Reality Gets Personal — from augmented.reality.news by Adario Strange

 

 

 

 

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