2018 February

Why Students Forget—and What You Can Do About It [Terada]

On 02/28/2018, in assessment, higher education, ideas, K-12 related, learning theories, memory, multimedia, pedagogy, research, student-related, teachers, teaching & learning, by Daniel Christian

Why Students Forget—and What You Can Do About It — from edutopia.org by Youki Terada
Our brains are wired to forget, but there are research-backed strategies you can use to make your teaching stick.

Excerpt:

5 Teacher Strategies
When students learn a new piece of information, they make new synaptic connections. Two scientifically based ways to help them retain learning is by making as many connections as possible—typically to other concepts, thus widening the “spiderweb” of neural connections—but also by accessing the memory repeatedly over time.

Which explains why the following learning strategies, all tied to research conducted within the past five years, are so effective:

Peer-to-peer explanations: When students explain what they’ve learned to peers, fading memories are reactivated, strengthened, and consolidated. This strategy not only increases retention but also encourages active learning (Sekeres et al., 2016).
The spacing effect: Instead of covering a topic and then moving on, revisit key ideas throughout the school year. Research shows that students perform better academically when given multiple opportunities to review learned material. For example, teachers can quickly incorporate a brief review of what was covered several weeks earlier into ongoing lessons, or use homework to re-expose students to previous concepts (Carpenter et al., 2012; Kang, 2016).
Frequent practice tests: Akin to regularly reviewing material, giving frequent practice tests can boost long-term retention and, as a bonus, help protect against stress, which often impairs memory performance. Practice tests can be low stakes and ungraded, such as a quick pop quiz at the start of a lesson or a trivia quiz on Kahoot, a popular online game-based learning platform. Breaking down one large high-stakes test into smaller tests over several months is an effective approach (Adesope, Trevisan, & Sundararajan, 2017; Butler, 2010; Karpicke, 2016).
Interleave concepts: Instead of grouping similar problems together, mix them up. Solving problems involves identifying the correct strategy to use and then executing the strategy. When similar problems are grouped together, students don’t have to think about what strategies to use—they automatically apply the same solution over and over. Interleaving forces students to think on their feet, and encodes learning more deeply (Rohrer, 2012; Rohrer, Dedrick, & Stershic, 2015).
Combine text with images: It’s often easier to remember information that’s been presented in different ways, especially if visual aids can help organize information. For example, pairing a list of countries occupied by German forces during World War II with a map of German military expansion can reinforce that lesson. It’s easier to remember what’s been read and seen, instead of either one alone (Carney & Levin, 2002; Bui & McDaniel, 2015).

So even though forgetting starts as soon as learning happens—as Ebbinghaus’s experiments demonstrate—research shows that there are simple and effective strategies to help make learning stick.

The number of Americans working for themselves could triple by 2020 — from work.qz.com by Amy Wang

Excerpt (emphasis DSC):

Americans are as eager to work as ever. Just no longer for somebody else.

According to FreshBooks, a cloud-based accounting company that has conducted a study on self-employment for two years, the number of Americans working for themselves looks to triple—to 42 million people—by 2020.

The trend, gauged in a survey of more than 2,700 full-time US workers in traditional, independent, and small business roles about their career plans, is largely being driven by millennial workers. FreshBooks estimates that of the next 27 million independent workers, 42% will be millennials. The survey, conducted with Research Now, also finds that Americans who already work for themselves are suddenly very content to keep doing so, with 97% of independent workers (up 10% from 2016) reporting no desire to return to traditional work.

From DSC:
With the continued trend towards more freelancing and the growth of a more contingent workforce…have our students had enough practice in selling themselves and their businesses to be successful in this new, developing landscape?

We need to start offering more courses, advice, and opportunities for practicing these types of skills — and the sooner the better! I’m serious. Our students will be far more successful with these types of skills under their belt. Conversely, they won’t be able to persuade others and sell themselves and their businesses without such skills.

Robo retail: The automated store of the future is heading closer to our doorsteps.

On 02/23/2018, in Amazon, Artificial Intelligence/Agents/LLMs/and Related, business, career development, change, emerging technologies, engineering, entrepreneurship, experimentation, game-changing environment, human-computer interaction (HCI), robotics, tools, trends, workplace, by Daniel Christian

Robo retail: The automated store of the future is heading closer to our doorsteps. — from jwtintelligence.com’

Excerpt:

The automated store of the future is heading closer to our doorsteps.

Self-checkout and online delivery services might soon be outmoded. Automated, cashier-less and mobile, doorstep-accessible shopping outlets are popping up globally—these offer not only a quick and seamless shopping experience, but also allow customers to handpick the items they are seeking.

Retail giant Amazon launched its Amazon Go store in Seattle in late January 2018. Amazon Go stocks everyday items, Whole Foods Market goods and Amazon-branded meal kits, but has no cashiers, no check-out lines and no barcode scanners. Shoppers enter by scanning an app, shop and leave—items purchased are automatically charged to their accounts. Dilip Kumar, vice president of technology for Amazon Go, suggests the concept is Amazon’s answer to solving “time poverty,” which he calls people’s “number one problem.”

This is just the tip of the iceberg. While Amazon Go currently only operates in Seattle, two other mobile concepts are hoping to reach a wider audience by physically bringing roving stores directly to the consumer. Robomart, based in the Bay Area, is a prototype tap-to-request grab-and-go food mart. Conventional grocery delivery services like those run by Amazon, FreshDirect or Instacart don’t let customers select products for themselves. If you’re particular about the ripeness of an avocado or conscious about bruises on tomatoes, being able to choose your own produce is essential. An autonomy-focused platform like Robomart puts consumers in the metaphorical driver’s seat, while still maintaining a high level of ease.

From DSC:
Speaking of cashiers, I had some comments regarding the future of cashiers towards the bottom of this posting here. Another relevant posting is: “Tech companies should stop pretending AI won’t destroy jobs” + 6 other items re: AI, bots, algorithms, & more

Reflections on “Michelle Weise: We Need to Design the Learning Ecosystem of the Future”

On 02/23/2018, in colleges, community colleges, digital learning, disruption, education reform, education technology, experimentation, future, future of higher education, game-changing environment, generational differences, higher education, ideas, innovation, leadership, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, lifelong learning, marketplaces, microlearning, mobile learning, more voice more choice more control, New "Amazon.com" of Higher Education, new business models, online learning, online tutoring, open courseware and systems, pace of change, personalized/customized learning, platforms, reinvent, robotics, society, staying relevant, streams of content, student-related, surviving, technologies for your home, training / L&D, trends, United States, universities, vendors, virtual tutoring, web-based collaboration, by Daniel Christian

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.

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

Oh…that should be no problem for people. Just master these 5 peak performance zones.

On 02/23/2018, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, career development, change, computer science, Daniel S. Christian, disruption, platforms, programming, reinvent, robotics, society, staying relevant, surviving, workplace, by Daniel Christian

From DSC:
My comments below are not meant to bash anyone at the Institute for the Future (which I really respect) nor at MIT Technology Review, in fact I recently posted an item from the latter organization that I thought was great. But looking at the list below, I can’t help but think, “Oh…that should be no problem! Geez that’s easy! ………NOT!”

As people lose their jobs to AI, robots, bots, algorithms, automation and the like — and try to reinvent themselves — many people won’t have the skills, interests, aptitudes, funding, background/prior knowledge, etc. to carve out their niches, to find out how to build teams that utilize robots and AI, and to make sense of complex systems. How many of us truly understand the world we’re living in these days? No one does.

Again, no problem on mastering these 5 peak performance zones. Easy peazy lemon squeezy. Geeez. (Please hear the intense sarcasm dripping off my comments.)

How unrealistic can we get? It’s like saying, “Everyone can learn to code. No problem.” That’s not true at all, especially given the current state of computer programming. Many (most?) people simply don’t think that way. That’s why programmers are always in demand and they are often highly paid. Why? Because most people don’t want to do it, can’t do it, or choose not to do it.

Please, let’s get realistic.

From the 2/22/18 e-newsletter from MIT Technology Review

The five skills you need for jobs of the future

The Palo Alto-based think tank Institute for the Future partnered with software company Cornerstone OnDemand to produce a report that identifies 15 skills that workers need to succeed in the workplace of tomorrow. They fall into five main buckets:

Make yourself known through reputation management: Carve out your niche and brand across a variety of platforms to distinguish yourself from the crowd.
Master human and machine collaboration: Know how to build teams that utilize robots and AI, as well as humans.
Build your tribe: Personal networks and social connections will take you to the next level in a tech-focused world.
Make sense of complex systems: The ability to be creative and connect the dots between different industries and organizations will be rewarded.
Build resilience in extreme environments: Learn to thrive in more a risk prone society and build yourself new safety nets.

“To be fit for this future, you need to master five peak performance zones. These are the basics of future fitness for everyone. No matter what your own personal mission in life is, these are the workout zones that will get you ready to face whatever comes next.”

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.

10 Breakthrough Technologies 2018 [MIT Technology Review]

On 02/22/2018, in 3D, Artificial Intelligence/Agents/LLMs/and Related, biology, career development, emerging technologies, ethics, Google, health, morals/values, society, technology (general), the downsides of how people use tech, tools, by Daniel Christian

10 Breakthrough Technologies 2018 — from MIT Technology Review

Excerpt:

Dueling neural networks. Artificial embryos. AI in the cloud. Welcome to our annual list of the 10 technology advances we think will shape the way we work and live now and for years to come.

Every year since 2001 we’ve picked what we call the 10 Breakthrough Technologies. People often ask, what exactly do you mean by “breakthrough”? It’s a reasonable question—some of our picks haven’t yet reached widespread use, while others may be on the cusp of becoming commercially available. What we’re really looking for is a technology, or perhaps even a collection of technologies, that will have a profound effect on our lives.

…

3-D Metal Printing
Artificial Embryos
Sensing City
AI for Everybody
Dueling Neural Networks
Babel-Fish Earbuds
In the cult sci-fi classic The Hitchhiker’s Guide to the Galaxy, you slide a yellow Babel fish into your ear to get translations in an instant. In the real world, Google has come up with an interim solution: a $159 pair of earbuds, called Pixel Buds. These work with its Pixel smartphones and Google Translate app to produce practically real-time translation. One person wears the earbuds, while the other holds a phone. The earbud wearer speaks in his or her language—English is the default—and the app translates the talking and plays it aloud on the phone. The person holding the phone responds; this response is translated and played through the earbuds.
Zero-Carbon Natural Gas
Perfect Online Privacy
Genetic Fortune-Telling
Materials’ Quantum Leap

“Fake videos are on the rise. As they become more realistic, seeing shouldn’t always be believing” [David Pierson Fe]

On 02/19/2018, in 21st century, 3D, Artificial Intelligence/Agents/LLMs/and Related, bots, digital audio, digital storytelling, digital video, emerging technologies, ethics, morals/values, political science, relationships, simulations, social media, society, sociology, the downsides of how people use tech, tools, by Daniel Christian

Fake videos are on the rise. As they become more realistic, seeing shouldn’t always be believing — from latimes.com by David Pierson Fe

Excerpts:

It’s not hard to imagine a world in which social media is awash with doctored videos targeting ordinary people to exact revenge, extort or to simply troll.

In that scenario, where Twitter and Facebook are algorithmically flooded with hoaxes, no one could fully believe what they see. Truth, already diminished by Russia’s misinformation campaign and President Trump’s proclivity to label uncomplimentary journalism “fake news,” would be more subjective than ever.

The danger there is not just believing hoaxes, but also dismissing what’s real.

…

The consequences could be devastating for the notion of evidentiary video, long considered the paradigm of proof given the sophistication required to manipulate it.

“This goes far beyond ‘fake news’ because you are dealing with a medium, video, that we traditionally put a tremendous amount of weight on and trust in,” said David Ryan Polgar, a writer and self-described tech ethicist.

From DSC:
Though I’m typically pro-technology, this is truly disturbing. There are certainly downsides to technology as well as upsides — but it’s how we use a technology that can make the real difference. Again, this is truly disturbing.

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.

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).

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 [Christian; evoLLLution.com]

On 02/19/2018, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, business, business side of he, career development, change, changing business models, colleges, community colleges, corporate / business world, corporate universities / corporate training, dangers of the status quo, Daniel S. Christian, disruption, future, future of higher education, game-changing environment, generational differences, higher education, human-computer interaction (HCI), ideas, innovation, leadership, organizational change, pace of change, reinvent, society, staying relevant, student-related, surviving, technologies for your home, trends, United States, universities, vision/possibilities, workplace, youth, by Daniel Christian

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

The WIRED Guide to the Blockchain [Finley]

On 02/17/2018, in Blockchain, emerging technologies, by Daniel Christian

The WIRED Guide to the Blockchain — from wired.com by Klint Finley
It’s super secure and slightly hard to understand, but the idea of creating tamper-proof databases has captured the attention of everyone from anarchist techies to staid bankers.

Excerpts:

Depending on who you ask, blockchains are either the most important technological innovation since the internet or a solution looking for a problem.

…

It’s too early to say which experiments will work out or whether the results of successful experiments will resemble the bitcoin blockchain. But the idea of creating tamper-proof databases has captured the attention of everyone from anarchist techies to staid bankers.

…

The Future of Blockchain
Despite the blockchain hype—and many experiments—there’s still no “killer app” for the technology beyond currency speculation. And while auditors might like the idea of immutable records, as a society we don’t always want records to be permanent.

Blockchain proponents admit that it could take a while for the technology to catch on. After all, the internet’s foundational technologies were created in the 1960s, but it took decades for the internet to become ubiquitous.

That said, the idea could eventually show up in lots of places. For example, your digital identity could be tied to a token on a blockchain. You could then use that token to log in to apps, open bank accounts, apply for jobs, or prove that your emails or social-media messages are really from you. Future social networks might be built on connected smart contracts that show your posts only to certain people or enable people who create popular content to be paid in cryptocurrencies. Perhaps the most radical idea is using blockchains to handle voting. The team behind the open source project Soverign built a platform that organizations, companies, and even governments can already use to gather votes on a blockchain.

2018 Key Issues in Teaching and Learning — from educause.edu

“What is Artificial Intelligence, Machine Learning & Deep Learning?” [Dhande] + 6 other items re: AI, chatbots, NLP, & more

On 02/16/2018, in 21st century, 24x7x365 access, A/V -- audio/visual, Amazon, Artificial Intelligence/Agents/LLMs/and Related, bots, Daniel S. Christian, emerging technologies, Google, human-computer interaction (HCI), Natural Language Processing (NLP), voice recognition / voice enabled interfaces, by Daniel Christian

What is Artificial Intelligence, Machine Learning and Deep Learning — from geospatialworld.net by Meenal Dhande

What is the difference between AI, machine learning and deep learning? — from geospatialworld.net by Meenal Dhande

Excerpt:

In the first part of this blog series, we gave you simple and elaborative definitions of what is artificial intelligence (AI), machine learning and deep learning. This is the second part of the series; here we are elucidating our readers with – What is the difference between AI, machine learning, and deep learning.

You can think of artificial intelligence (AI), machine learning and deep learning as a set of a matryoshka doll, also known as a Russian nesting doll. Deep learning is a subset of machine learning, which is a subset of AI.

Chatbot for College Students: 4 Chatbots Tips Perfect for College Students — from chatbotsmagazine.com by Zevik Farkash

Excerpts:

1. Feed your chatbot with information your students don’t have.
Your institute’s website can be as elaborate as it gets, but if your students can’t find a piece of information on it, it’s as good as incomplete. Say, for example, you offer certain scholarships that students can voluntarily apply for. But the information on these scholarships are tucked away on a remote page that your students don’t access in their day-to-day usage of your site.

So Amy, a new student, has no idea that there’s a scholarship that can potentially make her course 50% cheaper. She can scour your website for details when she finds the time. Or she can ask your university’s chatbot, “Where can I find information on your scholarships?”

And the chatbot can tell her, “Here’s a link to all our current scholarships.”

The best chatbots for colleges and universities tend to be programmed with even more detail, and can actually strike up a conversation by saying things like:

“Please give me the following details so I can pull out all the scholarships that apply to you.
“Which department are you in? (Please select one.)
“Which course are you enrolled in? (Please select one.)
“Which year of study are you in? (Please select one.)
“Thank you for the details! Here’s a list of all applicable scholarships. Please visit the links for detailed information and let me know if I can be of further assistance.”

2. Let it answer all the “What do I do now?” questions.

3. Turn it into a campus guide.

4. Let it take care of paperwork.

From DSC:
This is the sort of thing that I was trying to get at last year at the NGLS 2017 Conference:

18 Disruptive Technology Trends For 2018 — from disruptionhub.com by Rob Prevett

Excerpts:

1. Mobile-first to AI-first
A major shift in business thinking has placed Artificial Intelligence at the very heart of business strategy. 2017 saw tech giants including Google and Microsoft focus on an“AI first” strategy, leading the way for other major corporates to follow suit. Companies are demonstrating a willingness to use AI and related tools like machine learning to automate processes, reduce administrative tasks, and collect and organise data. Understanding vast amounts of information is vital in the age of mass data, and AI is proving to be a highly effective solution. Whilst AI has been vilified in the media as the enemy of jobs, many businesses have undergone a transformation in mentalities, viewing AI as enhancing rather than threatening the human workforce.

…

7. Voice based virtual assistants become ubiquitous
Google HomeThe wide uptake of home based and virtual assistants like Alexa and Google Home have built confidence in conversational interfaces, familiarising consumers with a seamless way of interacting with tech. Amazon and Google have taken prime position between brand and customer, capitalising on conversational convenience. The further adoption of this technology will enhance personalised advertising and sales, creating a direct link between company and consumer.

5 Innovative Uses for Machine Learning — from entrepreneur.com
They’ll be coming into your life — at least your business life — sooner than you think.

Philosophers are building ethical algorithms to help control self-driving cars – from qz.com by Olivia Goldhill

Tech’s Ethical ‘Dark Side’: Harvard, Stanford and Others Want to Address It — from nytimes.com by Natasha Singerfeb

Excerpt:

PALO ALTO, Calif. — The medical profession has an ethic: First, do no harm.

Silicon Valley has an ethos: Build it first and ask for forgiveness later.

Now, in the wake of fake news and other troubles at tech companies, universities that helped produce some of Silicon Valley’s top technologists are hustling to bring a more medicine-like morality to computer science.

This semester, Harvard University and the Massachusetts Institute of Technology are jointly offering a new course on the ethics and regulation of artificial intelligence. The University of Texas at Austin just introduced a course titled “Ethical Foundations of Computer Science” — with the idea of eventually requiring it for all computer science majors.

And at Stanford University, the academic heart of the industry, three professors and a research fellow are developing a computer science ethics course for next year. They hope several hundred students will enroll.

The idea is to train the next generation of technologists and policymakers to consider the ramifications of innovations — like autonomous weapons or self-driving cars — before those products go on sale.

This is the type of thing that will be offered in our future learning ecosystems. [Christian]

On 02/16/2018, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, business side of he, career development, change, changing business models, credentialing, Daniel S. Christian, digital learning, formal learning, future, future of higher education, higher education, human-computer interaction (HCI), ideas, informal learning, innovation, intelligent systems, intelligent tutoring, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, more voice more choice more control, New "Amazon.com" of Higher Education, new business models, online learning, parents/guardians, platforms, reinvent, smart/connected TV, staying relevant, student-related, technologies for your home, web-based collaboration, by Daniel Christian

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).

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.

The Future of Design, Part II [Madeleine Morley; Adobe]

On 02/16/2018, in Adobe, career development, change, creativity, design, digital storytelling, graphics, human-computer interaction (HCI), story, storytelling, user experience (UX), user interface design, vendors, voice recognition / voice enabled interfaces, web design and production, by Daniel Christian

The Future of Design, Part II — from 99u.adobe.com by Madeleine Morley; with thanks to Keesa V. Johnson for posting this on Twitter
For the second straight year, we asked 10 creatives to predict what is coming up in the world of design and how they will prepare for it. This year’s installment includes designing for voice-controlled tech, holograms, and the rise of the hybrid designer.

Design is always changing, and wider changes are often spearheaded by design itself. Now with tech and the creative industry increasingly aligning, we’re on the precipice of a truly momentous period in the history of design, something unprecedented that is difficult to predict and prepare for.

Excerpts:

With quickly evolving tools, tumultuous shifts in the economy, the relentless growth of the gig and freelance lifestyle, and global networks, the working landscape for young designers is a tremendously uncertain one. There’s no model to follow: The known and well-trodden career path of previous generations is overgrown.
…
It’s an uncertain time for design, but in its difficulty and complexity, it is an inspiring and crucial one: Those with the skills will help decide the way that innovations in tech not only look but function, too, and influence our daily lives.

Although we can’t predict the future, we can speak to those with experience who think about what’s in store. We asked each participant to give us their advice: What does their future of design look like? What will it do to the very idea of design. And how can we prepare for it?

Design will be for ears and not eyes.

We’re always getting our heads around designing for the latest technology, methodology, application, media, or format. It’s a fascinating time to be a designer. There will always be space for experts, for those who specialize in the things they are really, really good at, but for others there is the need to diversify.

We won’t tell stories; we’ll live them.

Learning Ecosystems

“5 benefits of using AR & VR Technologies in eLearning,” “National Museum of Finland Offers Virtual Time Travel,” + 6 other items involving AR, VR, MR, and XR

The WIRED Guide to the Blockchain [Finley]

2018 Key Issues in Teaching and Learning

The Future of Design, Part II [Madeleine Morley; Adobe]

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