pace of change

Excerpt:

In this report, we set out to capture a snapshot of the exponential progress in AI with a focus on developments in the past 12 months. Consider this report as a compilation of the most interesting things we’ve seen that seeks to trigger informed conversation about the state of AI and its implication for the future.

We consider the following key dimensions in our report:

Research: Technology breakthroughs and their capabilities.
Talent: Supply, demand and concentration of talent working in the field.
Industry: Large platforms, financings and areas of application for AI-driven innovation today and tomorrow.
Politics: Public opinion of AI, economic implications and the emerging geopolitics of AI.

There’s nothing artificial about how AI is changing the workplace — from forbes.com by Eric Yuan

Excerpt:

As I write this, AI has already begun to make video meetings even better. You no longer have to spend time entering codes or clicking buttons to launch a meeting. Instead, with voice-based AI, video conference users can start, join or end a meeting by simply speaking a command (think about how you interact with Alexa).

Voice-to-text transcription, another artificial intelligence feature offered by Otter Voice Meeting Notes (from AISense, a Zoom partner), Voicefox and others, can take notes during video meetings, leaving you and your team free to concentrate on what’s being said or shown. AI-based voice-to-text transcription can identify each speaker in the meeting and save you time by letting you skim the transcript, search and analyze it for certain meeting segments or words, then jump to those mentions in the script. Over 65% of respondents from the Zoom survey said they think AI will save them at least one hour a week of busy work, with many claiming it will save them one to five hours a week.

AI can now ‘listen’ to machines to tell if they’re breaking down — from by Rebecca Campbell

Excerpt:

Sound is everywhere, even when you can’t hear it.

It is this noiseless sound, though, that says a lot about how machines function.

Helsinki-based Noiseless Acoustics and Amsterdam-based OneWatt are relying on artificial intelligence (AI) to better understand the sound patterns of troubled machines. Through AI they are enabling faster and easier problem detection.

Making sound visible even when it can’t be heard. With the aid of non-invasive sensors, machine learning algorithms, and predictive maintenance solutions, failing components can be recognized at an early stage before they become a major issue.

Chinese university uses facial recognition for campus entry — from cr80news.com by Andrew Hudson

Excerpt:

A number of higher education institutions in China have deployed biometric solutions for access and payments in recent months, and adding to the list is Peking University. The university has now installed facial recognition readers at perimeter access gates to control access to its Beijing campus.

As reported by the South China Morning Post, anyone attempting to enter through the southwestern gate of the university will no longer have to provide a student ID card. Starting this month, students will present their faces to a camera as part of a trial run of the system ahead of full-scale deployment.

From DSC:
I’m not sure I like this one at all — and the direction that this is going in.

Will We Use Big Data to Solve Big Problems? Why Emerging Technology is at a Crossroads — from blog.hubspot.com by Justin Lee

Excerpt:

How can we get smarter about machine learning?
As I said earlier, we’ve reached an important crossroads. Will we use new technologies to improve life for everyone, or to fuel the agendas of powerful people and organizations?

I certainly hope it’s the former. Few of us will run for president or lead a social media empire, but we can all help to move the needle.

Consume information with a critical eye.
Most people won’t stop using Facebook, Google, or social media platforms, so proceed with a healthy dose of skepticism. Remember that the internet can never be objective. Ask questions and come to your own conclusions.

Get your headlines from professional journalists.
Seek credible outlets for news about local, national and world events. I rely on the New York Times and the Wall Street Journal. You can pick your own sources, but don’t trust that the “article” your Aunt Marge just posted on Facebook is legit.

Mary Meeker’s Annual “Internet Trends Report” — the 2018 Edition is now out!

On 06/04/2018, in 21st century, A/V -- audio/visual, algorithms, Amazon, analytics, Apple, Artificial Intelligence / Machine Learning / Deep Learning, Asia, bots, business, career development, change, changing business models, cloud-based computing / apps / other cloud-related, cognitive computing, communications, computer science, corporate / business world, data mining, digital video, economics, emerging technologies, Europe, Facebook, global / globalization, Google, ideas, innovation, internet, learning, Lifelong learning, Microsoft, Mobile technologies, MOOCs -- Massive Open Online Courses, more choice more control, online learning, online media, pace of change, personalized/customized learning, platforms, presentations, programming, reinvent, research, society, sociology, staying relevant, student-related, surviving, Technologies for your home, technology (general), the downsides of technology, tools, trends, United States, user experience (UX), vendors, voice recognition / voice enabled interfaces, workplace, by Daniel Christian

Below are some excerpted slides from her presentation…

Also see:

20 important takeaways for learning world from Mary Meeker’s brilliant tech trends – from donaldclarkplanb.blogspot.com by Donald Clark
Excerpt:
Mary Meeker’s slide deck has a reputation of being the Delphic Oracle of tech. But, at 294 slides it’s a lot to take in. Don’t worry, I’ve been through them all. It has tons on economic stuff that is of marginal interest to education and training but there’s plenty to to get our teeth into. We’re not immune to tech trends, indeed we tend to follow in lock-step, just a bit later than everyone else. Among the data are lots of fascinating insights that point the way forward in terms of what we’re likely to be doing over the next decade. So here’s a really quick, top-end summary for folk in the learning game.

“Educational content usage online is ramping fast” with over 1 billion daily educational videos watched. There is evidence that use of the Internet for informal and formal learning is taking off.

Here’s Mary Meeker’s essential 2018 Internet Trends report — from techcrunch.com by Josh Constine

10 Big Takeaways From Mary Meeker’s Widely-Read Internet Report — from fortune.com by Leena Rao

DC: An excellent article! How true. | “The problem with hurrying childhood learning” by Justin Minkel

On 04/28/2018, in accessibility, assessment, K-12 related, love of learning, pace of change, pedagogy, society, special needs, student-related, teachers, teaching & learning, United States, youth, by Daniel Christian

The problem with hurrying childhood learning — from edweek.org by Justin Minkel

Excerpts:

When he lectured in the United States, Swiss psychologist Jean Piaget would invariably get what he called “the American question” from a member of the audience. After he had explained various developmental phases that young children go through in their understanding of concepts like length and volume, someone would raise their hand and ask, “How can we accelerate a child’s progress through the stages?”

Baffled, Piaget would explain that there is absolutely no advantage to speeding up a child’s progression. The point of knowing the stages is to be aware of what stage a child is in, so that we can create the conditions and offer the guidance to help her move to the next one. It’s not a race.

One of the most insidious results of the testing madness afflicting education has been an emphasis on speeding toward a particular outcome—a reading level, a cut score—without taking the time to ask what is sacrificed in that rush.

We need, of course, to pay attention to academic growth. It’s one thing for a child to be below grade-level or to be on a trajectory toward catching up over the next couple of years. It’s a fundamentally different situation when a child is virtually flat-lining in his progress, or is making such slow growth that if he continues at that rate, he won’t become a proficient reader in time to acquire the content and confidence he’ll need to thrive in school.

But I see too many kids who are hurried and harried toward the level they’re “supposed” to be on by the end of a given grading period, with too little attention given to the path they’re walking to get there. I see children begin to define themselves by test scores, grades, and how quickly they’re leapfrogging from one level to the next.

Here are two ways that teachers, parents, and administrators can take a deep breath and see past the timetables set by adults to the particular journeys of the children themselves.

But here’s the critical point about their progress: that growth is a positive side effect, not the end goal, of the block of time we call the “Wild Reading Rumpus.” The true purpose of that reading time is for my students to come to love reading, so that they will lead richer lives—not just in the future, when they go on to college or a career, but in the present.

When we celebrated their perseverance and hard work, I had children stand and be applauded not according to how high their score was, but according to how much growth they had made.

From DSC:
I just thought this was an excellent essay.

Too often K-12 education in the United States is like a run-away train. When the train’s leaving the station, you better hop on board. It waits for no one. Its speed is set. You better keep up. Good luck to those who don’t. “Best wishes!” our system cries out.

Europe divided over robot ‘personhood’ [Delcker]

On 04/20/2018, in change, emerging technologies, ethics, Europe, future, Law Schools, legislatures / government / legal, morals/values, pace of change, robotics, society, STEAM-related, by Daniel Christian

Europe divided over robot ‘personhood’ — from politico.eu by Janosch Delcker

Excerpt:

BERLIN — Think lawsuits involving humans are tricky? Try taking an intelligent robot to court.

While autonomous robots with humanlike, all-encompassing capabilities are still decades away, European lawmakers, legal experts and manufacturers are already locked in a high-stakes debate about their legal status: whether it’s these machines or human beings who should bear ultimate responsibility for their actions.

The battle goes back to a paragraph of text, buried deep in a European Parliament report from early 2017, which suggests that self-learning robots could be granted “electronic personalities.” Such a status could allow robots to be insured individually and be held liable for damages if they go rogue and start hurting people or damaging property.

Those pushing for such a legal change, including some manufacturers and their affiliates, say the proposal is common sense. Legal personhood would not make robots virtual people who can get married and benefit from human rights, they say; it would merely put them on par with corporations, which already have status as “legal persons,” and are treated as such by courts around the world.

Students are being prepared for jobs that no longer exist. Here’s how that could change. — from nbcnews.com by Sarah Gonser, The Hechinger Report
As automation disrupts the labor market and good middle-class jobs disappear, schools are struggling to equip students with future-proof skills.

Excerpts:

In many ways, the future of Lowell, once the largest textile manufacturing hub in the United States, is tied to the success of students like Ben Lara. Like many cities across America, Lowell is struggling to find its economic footing as millions of blue-collar jobs in manufacturing, construction and transportation disappear, subject to offshoring and automation.

The jobs that once kept the city prosperous are being replaced by skilled jobs in service sectors such as health care, finance and information technology — positions that require more education than just a high-school diploma, thus squeezing out many of those blue-collar, traditionally middle-class workers.

As emerging technologies rapidly and thoroughly transform the workplace, some experts predict that by 2030 400 million to 800 million people worldwide could be displaced and need to find new jobs. The ability to adapt and quickly acquire new skills will become a necessity for survival.

“We’re preparing kids for these jobs of tomorrow, but we really don’t even know what they are,” said Amy McLeod, the school’s director of curriculum, instruction and assessment. “It’s almost like we’re doing this with blinders on. … We’re doing all we can to give them the finite skills, the computer languages, the programming, but technology is expanding so rapidly, we almost can’t keep up.”

For students like Amber, who would rather do just about anything but go to school, the Pathways program serves another function: It makes learning engaging, maybe even fun, and possibly keeps her in school and on track to graduate.

“I think we’re turning kids off to learning in this country by putting them in rows and giving them multiple-choice tests — the compliance model,” McLeod said. “But my hope is that in the pathways courses, we’re teaching them to love learning. And they’re learning about options in the field — there’s plenty of options for kids to try here.”

How Emerging Technologies Are Impacting Industries [Bird]

On 03/31/2018, in 21st century, A/V -- audio/visual, algorithms, Artificial Intelligence / Machine Learning / Deep Learning, Blockchain, bots, business, career development, change, cognitive computing, corporate / business world, credentialing, digital learning, education technology, emerging technologies, engineering, experimentation, game-changing environment, health, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, internet, K-12 related, Law Schools, learning ecosystem, Lifelong learning, machine-to-machine communications, pace of change, platforms, society, staying relevant, student-related, surviving, technology (general), tools, trends, virtual reality / worlds / learning, vision, by Daniel Christian

How Emerging Technologies Are Impacting Industries — from medium.com by Dylan Bird
An analysis on leading strategies leveraging technology

235 emerging technology trends that will influence business, government, education, media & society in the coming year. [Future Today Institute]

On 03/20/2018, in algorithms, Artificial Intelligence / Machine Learning / Deep Learning, augmented reality, Blockchain, bots, business, career development, change, Christian education, cloud-based computing / apps / other cloud-related, cognitive computing, colleges, community colleges, corporate / business world, corporate universities / corporate training, digital audio, digital learning, digital video, disruption, economics, education, education technology, emerging technologies, engineering, experimentation, future, game-changing environment, global / globalization, health, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, internet, leadership, legislatures / government / legal, Media/film, Mixed reality, Mobile technologies, multimedia, Natural Language Processing (NLP), organizational change, pace of change, platforms, political science, programming, reinvent, robotics, society, staying relevant, strategy, surviving, technology (general), tools, training / L&D, trends, universities, virtual reality / worlds / learning, vision, voice recognition / voice enabled interfaces, wearables, workplace, XR - extended reality, by Daniel Christian

2018 TECH TRENDS REPORT — from the Future Today Institute
Emerging technology trends that will influence business, government, education, media and society in the coming year.

Description:

The Future Today Institute’s 11th annual Tech Trends Report identifies 235 tantalizing advancements in emerging technologies—artificial intelligence, biotech, autonomous robots, green energy and space travel—that will begin to enter the mainstream and fundamentally disrupt business, geopolitics and everyday life around the world. Our annual report has garnered more than six million cumulative views, and this edition is our largest to date.

Helping organizations see change early and calculate the impact of new trends is why we publish our annual Emerging Tech Trends Report, which focuses on mid- to late-stage emerging technologies that are on a growth trajectory.

In this edition of the FTI Tech Trends Report, we’ve included several new features and sections:

a list and map of the world’s smartest cities
a calendar of events that will shape technology this year
detailed near-future scenarios for several of the technologies
a new framework to help organizations decide when to take action on trends
an interactive table of contents, which will allow you to more easily navigate the report from the bookmarks bar in your PDF reader

01 How does this trend impact our industry and all of its parts?
02 How might global events — politics, climate change, economic shifts – impact this trend, and as a result, our organization?
03 What are the second, third, fourth, and fifth-order implications of this trend as it evolves, both in our organization and our industry?
04 What are the consequences if our organization fails to take action on this trend?
05 Does this trend signal emerging disruption to our traditional business practices and cherished beliefs?
06 Does this trend indicate a future disruption to the established roles and responsibilities within our organization? If so, how do we reverse-engineer that disruption and deal with it in the present day?
07 How are the organizations in adjacent spaces addressing this trend? What can we learn from their failures and best practices?
08 How will the wants, needs and expectations of our consumers/ constituents change as a result of this trend?
09 Where does this trend create potential new partners or collaborators for us?
10 How does this trend inspire us to think about the future of our organization?

On Change and Relevance for Higher Education — from campustechnology.com by Mary Grush and Phil Long
A Q&A with Phil Long

Excerpts:

Mary Grush: You’ve been connected to scores of technology leaders and have watched trends in higher education for more than 30 years. What is the central, or most important concern you are hearing from institutional leadership now?

Phil Long: Higher ed institutions are facing some serious challenges to stay relevant in a world that is diversifying and changing rapidly. They want to make sure that the experiences they have designed for students will carry the next generation forward to be productive citizens and workers. But institutions’ abilities to keep up in our changing environment have begun to lag to a sufficient degree, such that alternatives to the traditional university are being considered, both by the institutions themselves and by their constituents and colleagues throughout the education sector.

…

Grush: What are a few of the more specific areas in which institutions may find it difficult to navigate?

Long: Just from a very high level view, I’d include on that list: big data and the increasing sophistication of algorithms, with the associated benefits and risks; artificial intelligence with all its implications for good… and for peril; and perhaps most importantly, new applications and practices that support how we recognize learning.

“The pace of change never seems to slow down. And the issues and implications of the technologies we use are actually getting broader and more profound every day.” — Phil Long

2018 Workplace Learning Report — from learning.linkedin.com

Excerpts:

The path to opportunity is changing
The short shelf life of skills and a tightening labor market are giving rise to a multitude of skill gaps. Businesses are fighting to stay ahead of the curve, trying to hold onto their best talent and struggling to fill key positions. Individuals are conscious of staying relevant in the age of automation.

Enter the talent development function.
These organizational leaders create learning opportunities to enable employee growth and achievement. They have the ability to guide their organizations to success in tomorrow’s labor market, but they can’t do it alone.
…
Our research answers the talent developer’s most pressing questions:
* How are savvy talent development leaders adapting to the pace of change in today’s dynamic world of work?
* Why do employees demand learning and development resources, but don’t make the time to learn?
* How do executives think about learning and development?
* Are managers the missing link to successful learning programs?

From DSC:
Even though this piece is a bit of a sales pitch for Lynda.com — a great service I might add — it’s still worth checking out. I say this because it brings up a very real trend that I’m trying to bring more awareness to — i.e., the pace of change has changed. Our society is not ready for this new, exponential pace of change. Technologies are impacting jobs and how we do our jobs, and will likely do so for the next several decades. Skills gaps are real and likely growing larger. Corporations need to do their part in helping higher education revise/develop curriculum and they need to offer funds to create new types of learning labs/environments. They need to offer more internships and opportunities to learn new skills.

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, exchanges, 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, Lifelong learning, marketplaces, Microlearning, Mobile learning, more choice more control, 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, Walmart of Education --> New Amazon.com of Higher Education, 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

Learning Ecosystems

The State of Artificial Intelligence (AI) + 4 other items re: AI

235 emerging technology trends that will influence business, government, education, media & society in the coming year. [Future Today Institute]

On Change and Relevance for Higher Education [Grush & Long]

2018 Workplace Learning Report [LinkedIn.com]

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