tools

Overall, tech-related skills accounted for nearly two-thirds of Upwork’s list of the 20 fastest-growing skills. [Gottlieb]

On 08/04/2017, in 21st century, A/V -- audio/visual, Adobe, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, career development, CMS/LMS, computer science, economics, emerging technologies, Facebook / Meta Platforms, marketing/social marketing, Natural Language Processing (NLP), platforms, programming, tools, trends, Virtual Reality (VR) / worlds / learning, workplace, by Daniel Christian

VR Is the Fastest-Growing Skill for Online Freelancers — from bloomberg.com by Isabel Gottlieb
Workers who specialize in artificial intelligence also saw big jumps in demand for their expertise.

Excerpt:

Overall, tech-related skills accounted for nearly two-thirds of Upwork’s list of the 20 fastest-growing skills.

Also see:

How to Prepare Preschoolers for an Automated Economy — from nytimes.com by Claire Miller and Jess Bidgood

Excerpt

MEDFORD, Mass. — Amory Kahan, 7, wanted to know when it would be snack time. Harvey Borisy, 5, complained about a scrape on his elbow. And Declan Lewis, 8, was wondering why the two-wheeled wooden robot he was programming to do the Hokey Pokey wasn’t working. He sighed, “Forward, backward, and it stops.”

Declan tried it again, and this time the robot shook back and forth on the gray rug. “It did it!” he cried. Amanda Sullivan, a camp coordinator and a postdoctoral researcher in early childhood technology, smiled. “They’ve been debugging their Hokey Pokeys,” she said.

The children, at a summer camp last month run by the Developmental Technologies Research Group at Tufts University, were learning typical kid skills: building with blocks, taking turns, persevering through frustration. They were also, researchers say, learning the skills necessary to succeed in an automated economy.

Technological advances have rendered an increasing number of jobs obsolete in the last decade, and researchers say parts of most jobs will eventually be automated. What the labor market will look like when today’s young children are old enough to work is perhaps harder to predict than at any time in recent history. Jobs are likely to be very different, but we don’t know which will still exist, which will be done by machines and which new ones will be created.

155 chatbots in this brand new landscape. Where does your bot fit? [Chan]

On 08/03/2017, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, business, corporate / business world, marketing/social marketing, tools, trends, vendors, workplace, by Daniel Christian

155 chatbots in this brand new landscape. Where does your bot fit? — from venturebeat.com by Carylyne Chan

Excerpt:

Since we started building bots at KeyReply more than two years ago, the industry has seen massive interest and change. This makes it hard for companies and customers to figure out what’s really happening — so we hope to throw some light on this industry by creating a landscape of chatbot-related businesses. There’s no way to put everyone into this landscape, so we have selected examples that give readers an overview of the industry, such as notable or dominant providers and tools widely used to develop bots.

To put everything into a coherent structure, we arranged companies along the axes according to the functions of their bots and how they built them.

On the horizontal axis, the “marketing” function refers to a bot’s ability to drive exposure, reach, and interaction with the brand or product for potential and current customers. The “support” function refers to a bot’s ability to assist current customers with problems and to resolve those problems for them.

On the vertical axis, “managed” refers to companies outsourcing the development of bots to external vendors, whereas “self-serve” refers to them building their bots in-house or with an off-the-shelf tool.

Penn State World Campus implements 360-degree videos in online courses [Dawson]

On 08/03/2017, in 21st century, A/V -- audio/visual, emerging technologies, experimentation, higher education, innovation, online learning, special needs, tools, United States, universities, user experience (UX), Virtual Reality (VR) / worlds / learning, visualizing information, by Daniel Christian

Penn State World Campus implements 360-degree videos in online courses — from news.psu.edu by Mike Dawson
Videos give students virtual-reality experiences; leaders hopeful for quick expansion

Excerpt:

UNIVERSITY PARK, Pa. — Penn State World Campus is using 360-degree videos and virtual reality for the first time with the goal of improving the educational experience for online learners.

The technology has been implemented in the curriculum of a graduate-level special education course in Penn State’s summer semester. Students can use a VR headset to watch 360-degree videos on a device such as a smartphone.

The course, Special Education 801, focuses on how teachers can respond to challenging behaviors, and the 360-degree videos place students in a classroom where they see an instructor explaining strategies for arranging the classroom in ways best-suited for the learning activity. The videos were produced using a 360-degree video camera and uploaded into the course in just a few a days.

The Ed Tech Market Map: 90+ Startups Building The Future Of Education [cbinsights.com]

On 08/02/2017, in analytics, assessment, career development, CMS/LMS, digital learning, digital textbooks, education technology, innovation, K-12 related, languages and translation, online learning, platforms, productivity / tips and tricks, tools, vendors, by Daniel Christian

The Ed Tech Market Map: 90+ Startups Building The Future Of Education — from cbinsights.com

How SLAM technology is redrawing augmented reality’s battle lines [Tabatabaie]

On 08/01/2017, in 21st century, A/V -- audio/visual, Apple, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), education technology, emerging technologies, Facebook / Meta Platforms, Google, interaction design, interactivity, tools, trends, user experience (UX), by Daniel Christian

How SLAM technology is redrawing augmented reality’s battle lines — from venturebeat.com by Mojtaba Tabatabaie

Excerpt (emphasis DSC):

In early June, Apple introduced its first attempt to enter AR/VR space with ARKit. What makes ARKit stand out for Apple is a technology called SLAM (Simultaneous Localization And Mapping). Every tech giant — especially Apple, Google, and Facebook — is investing heavily in SLAM technology and whichever takes best advantage of SLAM tech will likely end up on top.

SLAM is a technology used in computer vision technologies which gets the visual data from the physical world in shape of points to make an understanding for the machine. SLAM makes it possible for machines to “have an eye and understand” what’s around them through visual input. What the machine sees with SLAM technology from a simple scene looks like the photo above, for example.

Using these points machines can have an understanding of their surroundings. Using this data also helps AR developers like myself to create much more interactive and realistic experiences. This understanding can be used in different scenarios like robotics, self-driving cars, AI and of course augmented reality.

The simplest form of understanding from this technology is recognizing walls and barriers and also floors. Right now most AR SLAM technologies like ARKit only use floor recognition and position tracking to place AR objects around you, so they don’t actually know what’s going on in your environment to correctly react to it. More advanced SLAM technologies like Google Tango, can create a mesh of our environment so not only the machine can tell you where the floor is, but it can also identify walls and objects in your environment allowing everything around you to be an element to interact with.

The company with the most complete SLAM database will likely be the winner. This database will allow these giants to have an eye on the world metaphorically, so, for example Facebook can tag and know the location of your photo by just analyzing the image or Google can place ads and virtual billboards around you by analyzing the camera feed from your smart glasses. Your self-driving car can navigate itself with nothing more than visual data.

2017 Ed Tech Trends: The Halfway Point [Aldridge, Christian, Kelly, Powell, & Ventimiglia]

On 07/31/2017, in 21st century, analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), bots, change, Daniel S. Christian, data related items, digital learning, education technology, emerging technologies, future, future of higher education, game-changing environment, Google, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, leadership, learning, learning ecosystem, Learning from the Living [Class] Room, maker movement, robotics, society, student-related, tools, trends, universities, vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, by Daniel Christian

2017 Ed Tech Trends: The Halfway Point — from campustechnology.com by Rhea Kelly
Four higher ed IT leaders weigh in on the current state of education technology and what’s ahead.

This article includes some perspectives shared from the following 4 IT leaders:

Susan Aldridge, Senior Vice President for Online Learning, Drexel University (PA); President, Drexel University Online
Daniel Christian, Adjunct Faculty Member, Calvin College
Marci Powell, CEO/President, Marci Powell & Associates; Chair Emerita and Past President, United States Distance Learning Association
Phil Ventimiglia, Chief Innovation Officer, Georgia State University

Also see:

Higher ed forges ahead on immersive tech integration – from educationdive.com by Pat Donachie

From DSC:
Reviewing the article below made me think of 2 potential additions to the Learning & Development Groups/Departments out there:

Help people build their own learning ecosystems
Design, develop, and implement workbots for self-service

Chatbots Poised to Revolutionize HR — from by Pratibha Nanduri

Excerpt:

Self-service is becoming an increasingly popular trend where people want to perform their tasks without needing help or input from anyone else. The increasing popularity of this trend is mainly attributed to the increasing use of computers and mobile devices to electronically manage all kinds of tasks.

As employee tolerance for downtime reduces and preferences for mobility increases, the bureaucracy which exists in managing everyday HR related tasks in the workplace will also have to be replaced. A large number of companies have still not automated even their basic HR services such as handling inquiries about holidays and leaves. Employees in such organizations still have to send their query and then wait for HR to respond.

As the number of employees goes up in an organization, the time taken by HR managers to respond to mundane admin tasks also increases. This leaves very little time for the HR manager to focus on strategic HR initiatives.

Chatbots that are powered by AI and machine learning are increasingly being used to automate mundane and repetitive tasks. They can also be leveraged in HR to simulate intelligent SMS-based conversations between employees and HR team members to automate basic HR tasks.

7 years after Steve Jobs waged war on Flash, it’s officially dying [Leswing]

On 07/25/2017, in Adobe, animation, Apple, education technology, educational games / serious games, elearning, graphics, multimedia, tools, web design and production, by Daniel Christian

7 years after Steve Jobs waged war on Flash, it’s officially dying – from finance.yahoo.com by Kif Leswing

Excerpt:

Adobe is killing Flash, the software that millions used in the early 2000s to play web games and watch video in their web browsers.

The company announced the software was “end-of-life” in a blog post on Tuesday. From the blog post:

“Given this progress, and in collaboration with several of our technology partners – including Apple, Facebook, Google, Microsoft and Mozilla – Adobe is planning to end-of-life Flash. Specifically, we will stop updating and distributing the Flash Player at the end of 2020 and encourage content creators to migrate any existing Flash content to these new open formats.”

Campus Technology 2017: Virtual Reality Is More Than a New Medium — from edtechmagazine.com by Amy Burroughs
Experts weigh in on the future of VR in higher education.

Excerpts:

“It’s actually getting pretty exciting,” Georgieva said, noting that legacy companies and startups alike have projects in the works that will soon be on the market. Look for standalone, wireless VR headsets later this year from Facebook and Google.

“I think it’s going to be a universal device,” he said. “Eventually, we’ll end up with some kind of glasses where we can just dial in the level of immersion that we want.”

— Per Emery Craig, at Campus Technology 2017 Conference

…
“Doing VR for the sake of VR makes no sense whatsoever,” Craig said. “Ask when does it make sense to do this in VR? Does a sense of presence help this, or is it better suited to traditional media?”

Virtual Reality: The User Experience of Story — from blogs.adobe.com

Excerpt:

Solving the content problems in VR requires new skills that are only just starting to be developed and understood, skills that are quite different from traditional storytelling. VR is a nascent medium. One part story, one part experience. And while many of the concepts from film and theater can be used, storytelling through VR is not like making a movie or a play.

In VR, the user has to be guided through an experience of a story, which means many of the challenges in telling a VR story are closer to UX design than anything from film or theater.

Take the issue of frameless scenes. In a VR experience, there are no borders, and no guarantees where a user will look. Scenes must be designed to attract user attention, in order to guide them through the experience of a story.

Sound design, staging cues, lighting effects, and movement can all be used to draw a user’s attention.

However, it’s a fine balance between attraction to distraction.

“In VR, it’s easy to overwhelm the user. If you see a flashing light and in the background, you hear a sharp siren, and then something moves, you’ve given the user too many things to understand,” says Di Dang, User Experience Lead at POP, Seattle. “Be intentional and deliberate about how you grab audience attention.”

VR is a storytelling superpower. No other medium has the quite the same potential to create empathy and drive human connection. Because viewers are for all intents and purposes living the experience, they walk away with that history coded into their memory banks—easily accessible for future responses.

Google’s latest VR experiment is teaching people how to make coffee — from techradar.com by Parker Wilhelm
All in a quest to see how effective learning in virtual reality is

Excerpt:

Teaching with a simulation is no new concept, but Google’s Daydream Labs wants to see exactly how useful virtual reality can be for teaching people practical skills.

In a recent experiment, Google ran a simulation of an interactive espresso machine in VR. From there, it had a group of people try their virtual hand at brewing a cup of java before being tasked to make the real thing.

Addendum on 7/26/17:

A New World: VR and AR Tech Developments — from er.educause.edu by Emory Craig and Maya Georgieva

4 ways augmented reality could change corporate training forever –from by Jay Samit

Excerpt:

In the coming years, machine learning and augmented reality will likely take both educational approaches to the next level by empowering workers to have the latest, most accurate information available in context, when and where they need it most.

Here are four ways that digital reality can revolutionize corporate training…

…augmented reality (AR) is poised not only to address issues faced by our aging workforce, but to fundamentality increase productivity by changing how all employees are trained in the future.

The Business of Artificial Intelligence — from hbr.org by Erik Brynjolfsson & Andrew McAfee

Excerpts (emphasis DSC):

The most important general-purpose technology of our era is artificial intelligence, particularly machine learning (ML) — that is, the machine’s ability to keep improving its performance without humans having to explain exactly how to accomplish all the tasks it’s given. Within just the past few years machine learning has become far more effective and widely available. We can now build systems that learn how to perform tasks on their own.

Why is this such a big deal? Two reasons. First, we humans know more than we can tell: We can’t explain exactly how we’re able to do a lot of things — from recognizing a face to making a smart move in the ancient Asian strategy game of Go. Prior to ML, this inability to articulate our own knowledge meant that we couldn’t automate many tasks. Now we can.

Second, ML systems are often excellent learners. They can achieve superhuman performance in a wide range of activities, including detecting fraud and diagnosing disease. Excellent digital learners are being deployed across the economy, and their impact will be profound.

In the sphere of business, AI is poised have a transformational impact, on the scale of earlier general-purpose technologies. Although it is already in use in thousands of companies around the world, most big opportunities have not yet been tapped. The effects of AI will be magnified in the coming decade, as manufacturing, retailing, transportation, finance, health care, law, advertising, insurance, entertainment, education, and virtually every other industry transform their core processes and business models to take advantage of machine learning. The bottleneck now is in management, implementation, and business imagination.

…

The machine learns from examples, rather than being explicitly programmed for a particular outcome.

Let’s start by exploring what AI is already doing and how quickly it is improving. The biggest advances have been in two broad areas: perception and cognition. …For instance, Aptonomy and Sanbot, makers respectively of drones and robots, are using improved vision systems to automate much of the work of security guards.

Machine learning is driving changes at three levels: tasks and occupations, business processes, and business models.

You may have noticed that Facebook and other apps now recognize many of your friends’ faces in posted photos and prompt you to tag them with their names.

From DSC:
I thought the article below was a good one. But I’m not sure I arrived at the same conclusion. Rather than putting the business of leadership & development training squarely on the shoulders of team leaders, I would put it on each individual employee and inform/empower them to seek out what works best for them in fulfilling their role.

The L&D team can work with introducing the best tools and examples of streams of content to tap into for any given role or topic.

I’m thinking here of tools like Twitter, streams of content from LinkedIn or from relevant blogs and websites. The team leaders can follow up with their team members and check in with them to see how things are going. If an employee says, “I don’t know who to connect with or follow” then perhaps the team leader can say, I’ve found these particular people, blogs, websites, streams of content from LinkedIn (or other sources) to be effective for what we do within our organization. Introduce them to communities of practice and/or to other individuals that do X, Y or Z really well.

It brings in the social element that this article discusses, but it also serves each individual’s best interests — each one of us needs to know how and where to keep learning. If it’s in their best interests to keep learning, then give them the tools and potential streams of content to tap into. Give them:

Let them own it. They’re likely creating their own learning pathways anyway. L&D become a consulting organization. L&D can consult with each group (or even individual employees) re: potential streams of content and possible/effective connections for that group (or individual).

Revive. — from revive.zaglearning.com

How enterprise learning for leadership and team development is tripping up human potential, and slowly sending the L&D brand into irrelevance. This is the story of how to save it, step by radical step.

Excerpts:

Over 18 months of research with 65 one-on-one interviews, 511 managers surveyed, and 900 teams representing 8K people, we witnessed the unintentional damage: marginalized learning and development people (L&D), learners who see leadership and team development as a necessary but random and usually disappointing transaction, and executives who line-item “soft skills” training (labeled decades ago by, no surprise, a hard-skills proponent) as a tax or necessary benefit, as if it were a dental plan.

If you’re curious, it can’t help but spark a few questions:

How can something so strategically important be so realistically unimportant?

How did L&D pros, who make such a compelling psychological and organizational case for the most pivotal kind of learning, get so minimized and, in the process, drag down human potential and the social intelligence of corporate culture?

How are smart, passionate L&D people who are in it for the greater good—and not the big payday—getting stuck with a brand that’s as sexy as K-Mart?

The problems are systemic, and the curiosity and ambition to fix them have received as little attention as any problem in enterprise history.

So, what’s the big switch? Learning for leadership and team development doesn’t belong with L&D. It belongs squarely with the team leader, the person who is 70% of the variance in her team’s engagement. Learning belongs fundamentally, not loosely, where it’s always in context and relevant: the leader and her team.

Google is turning Street View imagery into pro-level landscape photographs using AI [Maggio]

On 07/21/2017, in 21st century, A/V -- audio/visual, digital photography, emerging technologies, Google, photography, platforms, tools, by Daniel Christian

Google is turning Street View imagery into pro-level landscape photographs using artificial intelligence — from businessinsider.com by Edoardo Maggio

Excerpt:

A new experiment from Google is turning imagery from the company’s Street View service into impressive digital photographs using nothing but artificial intelligence (AI).

Google is using machine learning algorithms to train a deep neural network to roam around places such as Canada’s and California’s national parks, look for potentially suitable landscape images, and then work on them with special post-processing techniques.

The idea is to “mimic the workflow of a professional photographer,” and to do so Google is relying on so-called generative adversarial networks (GAN), which essentially pit two neural networks against one another.

See also:

Using Deep Learning to Create Professional-Level Photographs — from research.googleblog.com by Hui Fang, Software Engineer, Machine Perception

AI is making it extremely easy for students to cheat — from wired.com by Pippa Biddle

Excerpt (emphasis DSC):

For years, students have turned to CliffsNotes for speedy reads of books, SparkNotes to whip up talking points for class discussions, and Wikipedia to pad their papers with historical tidbits. But today’s students have smarter tools at their disposal—namely, Wolfram|Alpha, a program that uses artificial intelligence to perfectly and untraceably solve equations. Wolfram|Alpha uses natural language processing technology, part of the AI family, to provide students with an academic shortcut that is faster than a tutor, more reliable than copying off of friends, and much easier than figuring out a solution yourself.

Use of Wolfram|Alpha is difficult to trace, and in the hands of ambitious students, its perfect solutions are having unexpected consequences.

More Than Just Cool? — from insidehighered.com by Nick Roll
Virtual and augmented realities make headway in courses on health care, art history and social work.

Excerpt:

When Glenn Gunhouse visits the Pantheon, you would think that the professor, who teaches art and architecture history, wouldn’t be able to keep his eyes off the Roman temple’s columns, statues or dome. But there’s something else that always catches his eye: the jaws of the tourists visiting the building, and the way they all inevitably drop.

“Wow.”

There’s only one other way that Gunhouse has been able to replicate that feeling of awe for his students short of booking expensive plane tickets to Italy. Photos, videos and even three-dimensional walk-throughs on a computer screen don’t do it: It’s when his students put on virtual reality headsets loaded with images of the Pantheon.

…nursing schools are using virtual reality or augmented reality to bring three-dimensional anatomy illustrations off of two-dimensional textbook pages.

Also see:

Oculus reportedly planning $200 standalone wireless VR headset for 2018 — from techcrunch.com by Darrell Etherington

Excerpt:

Facebook is set to reveal a standalone Oculus virtual reality headset sometime later this year, Bloomberg reports, with a ship date of sometime in 2018. The headset will work without requiring a tethered PC or smartphone, according to the report, and will be branded with the Oculus name around the world, except in China, where it’ll carry Xiaomi trade dress and run some Xiaomi software as part of a partnership that extends to manufacturing plans for the device.

Facebook Inc. is taking another stab at turning its Oculus Rift virtual reality headset into a mass-market phenomenon. Later this year, the company plans to unveil a cheaper, wireless device that the company is betting will popularize VR the way Apple did the smartphone.

Source

Learning Ecosystems

Overall, tech-related skills accounted for nearly two-thirds of Upwork’s list of the 20 fastest-growing skills. [Gottlieb]

155 chatbots in this brand new landscape. Where does your bot fit? [Chan]

Penn State World Campus implements 360-degree videos in online courses [Dawson]

How SLAM technology is redrawing augmented reality’s battle lines [Tabatabaie]

Potential additions to L&D groups: 1) Help employees build their own learning ecosystems; 2) Design/develop workbots for self-service

7 years after Steve Jobs waged war on Flash, it’s officially dying [Leswing]

3 articles that show that experimentation is needed — & is just getting started — with virtual reality

4 ways augmented reality could change corporate training forever [Samit]

The Business of Artificial Intelligence [Brynjolfsson & McAfee]

Google is turning Street View imagery into pro-level landscape photographs using AI [Maggio]

VR & AR make headway in courses on health care, art history, and social work [Roll] Plus…a $200 wireless VR headset from Oculus in 2018?

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