From DSC:
The other day I had posted some ideas in regards to how artificial intelligence, machine learning, and augmented reality are coming together to offer some wonderful new possibilities for learning (see: “From DSC: Amazing possibilities coming together w/ augmented reality used in conjunction w/ machine learning! For example, consider these ideas.”) Here is one of the graphics from that posting:

 

horticulturalapp-danielchristian

These affordances are just now starting to be uncovered as machines are increasingly able to ascertain patterns, things, objects…even people (which calls for a separate posting at some point).

But mainly, for today, I wanted to highlight an excellent comment/reply from Nikos Andriotis @ Talent LMS who gave me permission to highlight his solid reflections and ideas:

 

nikosandriotisidea-oct2016

https://www.talentlms.com/blog/author/nikos-andriotis

 

From DSC:
Excellent reflection/idea Nikos — that would represent some serious personalized, customized learning!

Nikos’ innovative reflections also made me think about his ideas in light of their interaction or impact with web-based learner profiles, credentialing, badging, and lifelong learning.  What’s especially noteworthy here is that the innovations (that impact learning) continue to occur mainly in the online and blended learning spaces.

How might the ramifications of these innovations impact institutions who are pretty much doing face-to-face only (in terms of their course delivery mechanisms and pedagogies)?

Given:

  • That Microsoft purchased LinkedIn and can amass a database of skills and open jobs (playing a cloud-based matchmaker)
  • Everyday microlearning is key to staying relevant (RSS feeds and tapping into “streams of content” are important here, and so is the use of Twitter)
  • 65% of today’s students will be doing jobs that don’t even exist yet (per Microsoft & The Future Laboratory in 2016)

 

futureproofyourself-msfuturelab-2016

  • The exponential pace of technological change
  • The increasing level of experimentation with blockchain (credentialing)
  • …and more

…what do the futures look like for those colleges and universities that operate only in the face-to-face space and who are not innovating enough?

 

 

 

Coppell ISD becomes first district to use IBM, Apple format — from bizjournals.com by Shawn Shinneman

Excerpt:

Teachers at Coppell Independent School District have become the first to use a new IBM and Apple technology platform built to aid personalized learning.

IBM Watson Element for Educators pairs IBM analytics and data tools such as cognitive computing with Apple design. It integrates student grades, interests, participation, and trends to help educators determine how a student learns best, the company says.

It also recommends learning content personalized to each student. The platform might suggest a reading assignment on astronomy for a young student who has shown an interest in space.

 

From DSC:
Technologies involved with systems like IBM’s Watson will likely bring some serious impact to the worlds of education and training & development. Such systems — and the affordances that they should be able to offer us — should not be underestimated.  The potential for powerful, customized, personalized learning could easily become a reality in K-20 as well as in the corporate training space. This is an area to keep an eye on for sure, especially with the growing influence of cognitive computing and artificial intelligence.

These kinds of technology should prove helpful in suggesting modules and courses (i.e., digital learning playlists), but I think the more powerful systems will be able to drill down far more minutely than that. I think these types of systems will be able to assist with all kinds of math problems and equations as well as analyze writing examples, correct language mispronunciations, and more (perhaps this is already here…apologies if so). In other words, the systems will “learn” where students can go wrong doing a certain kind of math equation…and then suggest steps to correct things when the system spots a mistake (or provide hints at how to correct mistakes).

This road takes us down to places where we have:

  • Web-based learner profiles — including learner’s preferences, passions, interests, skills
  • Microlearning/badging/credentialing — likely using blockchain
  • Learning agents/bots to “contact” for assistance
  • Guidance for lifelong learning
  • More choice, more control

 

ibmwatson-oct2016

 

 

Also see:

  • First IBM Watson Education App for iPad Delivers Personalized Learning for K-12 Teachers and Students — from prnewswire.com
    Educators at Coppell Independent School District in Texas first to use new iPad app to tailor learning experiences to student’s interests and aptitudes
    Excerpts:
    With increasing demands on educators, teachers need tools that will enable them to better identify the individual needs of all students while designing learning experiences that engage and hold the students’ interest as they master the content. This is especially critical given that approximately one third of American students require remedial education when they enter college today, and current college attainment rates are not keeping pace with the country’s projected workforce needs1.  A view of academic and day-to-day updates in real time can help teachers provide personalized support when students need it.

    IBM Watson Element provides teachers with a holistic view of each student through a fun, easy-to-use and intuitive mobile experience that is a natural extension of their work. Teachers can get to know their students beyond their academic performance, including information about personal interests and important milestones students choose to share.  For example, teachers can input notes when a student’s highly anticipated soccer match is scheduled, when another has just been named president for the school’s World Affairs club, and when another has recently excelled following a science project that sparked a renewed interest in chemistry.The unique “spotlight” feature in Watson Element provides advanced analytics that enables deeper levels of communication between teachers about their students’ accomplishments and progress. For example, if a student is excelling academically, teachers can spotlight that student, praising their accomplishments across the school district. Or, if a student received a top award in the district art show, a teacher can spotlight the student so their other teachers know about it.
 

accenture-futuregrowthaisept2016

accenture-futurechannelsgrowthaisept2016

 

Why Artificial Intelligence is the Future of Growth — from accenture.com

Excerpt:

Fuel For Growth
Compelling data reveal a discouraging truth about growth today. There has been a marked decline in the ability of traditional levers of production—capital investment and labor—to propel economic growth.

Yet, the numbers tell only part of the story. Artificial intelligence (AI) is a new factor of production and has the potential to introduce new sources of growth, changing how work is done and reinforcing the role of people to drive growth in business.

Accenture research on the impact of AI in 12 developed economies reveals that AI could double annual economic growth rates in 2035 by changing the nature of work and creating a new relationship between man and machine. The impact of AI technologies on business is projected to increase labor productivity by up to 40 percent and enable people to make more efficient use of their time.

 

 

Also see:

 

 

 

ngls-2017-conference

 

From DSC:
I have attended the Next Generation Learning Spaces Conference for the past two years. Both conferences were very solid and they made a significant impact on our campus, as they provided the knowledge, research, data, ideas, contacts, and the catalyst for us to move forward with building a Sandbox Classroom on campus. This new, collaborative space allows us to experiment with different pedagogies as well as technologies. As such, we’ve been able to experiment much more with active learning-based methods of teaching and learning. We’re still in Phase I of this new space, and we’re learning new things all of the time.

For the upcoming conference in February, I will be moderating a New Directions in Learning panel on the use of augmented reality (AR), virtual reality (VR), and mixed reality (MR). Time permitting, I hope that we can also address other promising, emerging technologies that are heading our way such as chatbots, personal assistants, artificial intelligence, the Internet of Things, tvOS, blockchain and more.

The goal of this quickly-moving, engaging session will be to provide a smorgasbord of ideas to generate creative, innovative, and big thinking. We need to think about how these topics, trends, and technologies relate to what our next generation learning environments might look like in the near future — and put these things on our radars if they aren’t already there.

Key takeaways for the panel discussion:

  • Reflections regarding the affordances that new developments in Human Computer Interaction (HCI) — such as AR, VR, and MR — might offer for our learning and our learning spaces (or is our concept of what constitutes a learning space about to significantly expand?)
  • An update on the state of the approaching ed tech landscape
  • Creative, new thinking: What might our next generation learning environments look like in 5-10 years?

I’m looking forward to catching up with friends, meeting new people, and to the solid learning that I know will happen at this conference. I encourage you to check out the conference and register soon to take advantage of the early bird discounts.

 

 

IBM Foundation collaborates with AFT and education leaders to use Watson to help teachers — from finance.yahoo.com

Excerpt:

ARMONK, N.Y., Sept. 28, 2016 /PRNewswire/ — Teachers will have access to a new, first-of-its-kind, free tool using IBM’s innovative Watson cognitive technology that has been trained by teachers and designed to strengthen teachers’ instruction and improve student achievement, the IBM Foundation and the American Federation of Teachers announced today.

Hundreds of elementary school teachers across the United States are piloting Teacher Advisor with Watson – an innovative tool by the IBM Foundation that provides teachers with a complete, personalized online resource. Teacher Advisor enables teachers to deepen their knowledge of key math concepts, access high-quality vetted math lessons and acclaimed teaching strategies and gives teachers the unique ability to tailor those lessons to meet their individual classroom needs.

Litow said there are plans to make Teacher Advisor available to all elementary school teachers across the U.S. before the end of the year.

 

 

In this first phase, Teacher Advisor offers hundreds of high-quality vetted lesson plans, instructional resources, and teaching techniques, which are customized to meet the needs of individual teachers and the particular needs of their students.

 

 

Also see:

teacheradvisor-sept282016

 

Educators can also access high-quality videos on teaching techniques to master key skills and bring a lesson or teaching strategy to life into their classroom.

 

 

From DSC:
Today’s announcement involved personalization and giving customized directions, and it caused my mind to go in a slightly different direction. (IBM, Google, Microsoft, Apple, Amazon, and others like Smart Sparrow are likely also thinking about this type of direction as well. Perhaps they’re already there…I’m not sure.)

But given the advancements in machine learning/cognitive computing (where example applications include optical character recognition (OCR) and computer vision), how much longer will it be before software is able to remotely or locally “see” what a third grader wrote down for a given math problem (via character and symbol recognition) and “see” what the student’s answer was while checking over the student’s work…if the answer was incorrect, the algorithms will likely know where the student went wrong.  The software will be able to ascertain what the student did wrong and then show them how the problem should be solved (either via hints or by showing the entire problem to the student — per the teacher’s instructions/admin settings). Perhaps, via natural language processing, this process could be verbalized as well.

Further questions/thoughts/reflections then came to my mind:

  • Will we have bots that teachers can use to teach different subjects? (“Watson may even ask the teacher additional questions to refine its response, honing in on what the teacher needs to address certain challenges.)
  • Will we have bots that students can use to get the basics of a given subject/topic/equation?
  • Will instructional designers — and/or trainers in the corporate world — need to modify their skillsets to develop these types of bots?
  • Will teachers — as well as schools of education in universities and colleges — need to modify their toolboxes and their knowledgebases to take advantage of these sorts of developments?
  • How might the corporate world take advantage of these trends and technologies?
  • Will MOOCs begin to incorporate these sorts of technologies to aid in personalized learning?
  • What sorts of delivery mechanisms could be involved? Will we be tapping into learning-related bots from our living rooms or via our smartphones?

 

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

 

 

 

Also see:

 

 

 

If you doubt that we are on an exponential pace of change, you need to check these articles out! [Christian]

exponentialpaceofchange-danielchristiansep2016

 

From DSC:
The articles listed in
this PDF document demonstrate the exponential pace of technological change that many nations across the globe are currently experiencing and will likely be experiencing for the foreseeable future. As we are no longer on a linear trajectory, we need to consider what this new trajectory means for how we:

  • Educate and prepare our youth in K-12
  • Educate and prepare our young men and women studying within higher education
  • Restructure/re-envision our corporate training/L&D departments
  • Equip our freelancers and others to find work
  • Help people in the workforce remain relevant/marketable/properly skilled
  • Encourage and better enable lifelong learning
  • Attempt to keep up w/ this pace of change — legally, ethically, morally, and psychologically

 

PDF file here

 

One thought that comes to mind…when we’re moving this fast, we need to be looking upwards and outwards into the horizons — constantly pulse-checking the landscapes. We can’t be looking down or be so buried in our current positions/tasks that we aren’t noticing the changes that are happening around us.

 

 

 

The first truly awesome chatbot is a talking T. Rex — from fastcodesign.com by John Brownlee
National Geographic uses a virtual Tyrannosaur to teach kids about dinosaurs—and succeeds where other chatbots fail.

 

 

Excerpt:

As some have declared chatbots to be the “next webpage,” brands have scrambled to develop their own talkative bots, letting you do everything from order a pizza to rewrite your resume. The truth is, though, that a lot of these chatbots are actually quite stupid, and tend to have a hard time understanding natural human language. Sooner or later, users get frustrated bashing their heads up against the wall of a dim-witted bot’s AI.

So how do you design around a chatbot’s walnut-sized brain? If you’re National Geographic Kids UK, you set your chatbot to the task of pretending to be a Tyrannosaurus rex, a Cretaceous-era apex predator that really had a walnut-sized brain (at least comparatively speaking).

 

She’s called Tina the T. rex, and by making it fun to learn about dinosaurs, she suggests that education — rather than advertising or shopping — might be the real calling of chatbots.

 

 

 

Also relevant/see:

Honeybot-August2016

 

Why every college campus needs a chatbot — from venturebeat.com by John Brandon

Excerpts:

Dropping a child off at college is a stressful experience. I should know — I dropped off one last week and another today. It’s confusing because everything is so new, your child (who is actually a young adult, how did that happen?) is anxious, and you usually have to settle up on your finances.

This situation happens to be ideal for a chatbot, because the administrative staff is way too busy to handle questions in person or by phone. There might be someone directing you in the parking lot, but not everyone standing around in the student center knows how to submit FAFSA data.

One of the main reasons for thinking of this is that I would have used one myself today. It’s a situation where you want immediate, quick information without having to explain all of the background information. You just need the campus map or the schedule for the day — that’s it. You don’t want any extra frills.

 

 

From DSC:
My question is:

Will Instructional Designers, Technical Communicators, e-Learning Designers, Trainers, (and other positions as as well) going to have to know how to build chatbots in the future? Our job descriptions could be changing soon. Or will this kind of thing require more programming-related skills? Perhaps more firms like the one below could impact that situation…

 

 

Chatfuel-Aug2016

 

 

 

 

Education Technology And Artificial Intelligence: How Education Chatbots [could] Revolutionize Personalized Learning — from parentherald.com by Kristine Walker

From DSC:
I inserted a [could] in the title, as I don’t think we’re there yet. That said, I don’t see chatbots, personal assistants, and the use of AI going away any time soon. This should be on our radars from here on out.  Chatbots could easily be assigned some heavy lifting duties within K-20 education as well as in the corporate world; but even then, we’ll still need excellent teachers, professors, and trainers/subject matter experts out there. I don’t see anyone being replaced at this point.

Excerpt:

As the equity gap in American education continues, Microsoft co-founder Bill Gates has been urging educators, investors and tech companies to be more open in investing time and money in artificial intelligence-driven education technology programs. The reason? Gates believed that these AI-based EdTech platforms could personalize and revolutionize school learning experience while eliminating the equity gap.

 

Also see:

Are ‘Motivation Bots’ Part of the Future of Education? — from educationworld.com

 

motivation-bots-aug-2016

 

The Motivation, Revision and Announcement bots each perform respective functions that are intended to help students master exams.

The Motivation bot, for instance, “keeps students motivated with reminders, social support, and other means,” while the Revision bot “helps students to best understand ways to improve their work” and the Announcement bot “tells students how much studying they need to do based on the amount of time available.”

 

 

 

 

Somewhat related:

Deep Learning Is Still A No-Show In Gartner 2016 Hype Cycle For Emerging Technologies — from .forbes.com by Gil Press

Excerpt:

Machine learning is best defined as the transition from feeding the computer with programs containing specific instructions in the forms of step-by-step rules or algorithms to feeding the computer with algorithms that can “learn” from data and can make inferences “on their own.” The computer is “trained” by data which is labeled or classified based on previous outcomes, and its software algorithms “learn” how to predict the classification of new data that is not labeled or classified. For example, after a period of training in which the computer is presented with spam and non-spam email messages, a good machine learning program will successfully identify, (i.e., predict,) which email message is spam and which is not without human intervention. In addition to spam filtering, machine learning has been applied successfully to problems such as hand-writing recognition, machine translation, fraud detection, and product recommendations.

 

 

 

 

In Memory: Seymour Papert — from media.mit.edu; with thanks to Mr. Joe Byerwalter for this resource

Excerpt:

Seymour Papert, whose ideas and inventions transformed how millions of children around the world create and learn, died Sunday, July 31, 2016 at his home in East Blue Hill, Maine. He was 88.

Papert’s career traversed a trio of influential movements: child development, artificial intelligence, and educational technologies. Based on his insights into children’s thinking and learning, Papert recognized that computers could be used not just to deliver information and instruction, but also to empower children to experiment, explore, and express themselves. The central tenet of his Constructionist theory of learning is that people build knowledge most effectively when they are actively engaged in constructing things in the world. As early as 1968, Papert introduced the idea that computer programming and debugging can provide children a way to think about their own thinking and learn about their own learning.

 

Also see:

  • AI and Computer Learning Lion Seymour Papert Dies at 88 — from fortune.com by  Barb Darrow
    Excerpt:
    Seymour Papert, the MIT professor who helped blaze the trail for artificial intelligence and computer-aided education for children at a time when no one saw the potential for using these massive machines for such purposes, died Sunday at the age of 88 in East Blue Hill, Maine.

 

“In this particular art class they were all carving soap,” he continued, “but what each student carved came from wherever fancy is bred, and the project was not done and dropped but continued for many weeks. It allowed time to think, to dream, to gaze, to get a new idea and try it and drop it or persist, time to talk, to see other people’s work and their reaction to yours — not unlike mathematics as it is for the mathematician, but quite unlike math as it is in junior high school.”

.

  • Seymour Papert, 88, Dies; Saw Education’s Future in Computers — from nytimes.com by Glenn Rifkin
    Excerpt:
    Seymour Papert, a visionary educator and mathematician who well before the advent of the personal computer foresaw children using computers as instruments for learning and enhancing creativity, died on Sunday at his home in Blue Hill, Me. He was 88.

 

 

He added, “In the past, education adapted the mind to a very restricted set of available media; in the future, it will adapt media to serve the needs and tastes of each individual mind.”

 

 

 

From DSC:
After seeing the items below, I couldn’t help but wonder…what are the learning-related implications/applications of chatbots?

  • For K-12
  • For higher ed?
  • For corporate training/L&D?

 


 

Nat Geo Kids’ T-Rex chatbot aims to ‘get into the mindset of readers’ — from digiday.com by Lucinda Southern

Excerpt (emphasis DSC):

It seems even extinction doesn’t stop you from being on Facebook Messenger.

National Geographic Kids is the latest publisher to try out chatbots on the platform. Tina the T-Rex, naturally, is using Messenger to teach kids about dinosaurs over the summer break, despite a critical lack of opposable thumbs.

Despite being 65 million years old, Tina is pretty limited in her bot capabilities; she can answer from a pre-programmed script, devised by tech company Rehab Studio and tweaked by Chandler, on things like dinosaur diet and way of life.

 

 

Also see:

 

HolographicStorytellingJWT-June2016

HolographicStorytellingJWT-2-June2016

 

Holographic storytelling — from jwtintelligence.com by Jade Perry

Excerpt (emphasis DSC):

The stories of Holocaust survivors are brought to life with the help of interactive 3D technologies.

New Dimensions in Testimony’ is a new way of preserving history for future generations. The project brings to life the stories of Holocaust survivors with 3D video, revealing raw first-hand accounts that are more interactive than learning through a history book.

Holocaust survivor Pinchas Gutter, the first subject of the project, was filmed answering over 1000 questions, generating approximately 25 hours of footage. By incorporating natural language processing from Conscience Display, viewers were able to ask Gutter’s holographic image questions that triggered relevant responses.

 

 

 

How might these enhancements to Siri and tvOS 10 impact education/training/learning-related offerings & applications? [Christian]

From DSC:
I read the article mentioned below.  It made me wonder how 3 of the 4 main highlights that Fred mentioned (that are coming to Siri with tvOS 10) might impact education/training/learning-related applications and offerings made possible via tvOS & Apple TV:

  1. Live broadcasts
  2. Topic-based searches
  3. The ability to search YouTube via Siri

The article prompted me to wonder:

  • Will educators and trainers be able to offer live lectures and training (globally) that can be recorded and later searched via Siri? 
  • What if second screen devices could help learners collaborate and participate in active learning while watching what’s being presented on the main display/”TV?”
  • What if learning taken this way could be recorded on one’s web-based profile, a profile that is based upon blockchain-based technologies and maintained via appropriate/proven organizations of learning? (A profile that’s optionally made available to services from Microsoft/LinkedIn.com/Lynda.com and/or to a service based upon IBM’s Watson, and/or to some other online-based marketplace/exchange for matching open jobs to potential employees.)
  • Or what if you could earn a badge or prove a competency via this manner?

Hmmm…things could get very interesting…and very powerful.

More choice. More control. Over one’s entire lifetime.

Heutagogy on steroids.

Micro-learning.

Perhaps this is a piece of the future for MOOCs…

 

MoreChoiceMoreControl-DSC

 

 

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

 

 

StreamsOfContent-DSC

 

 


 

Apple TV gets new Siri features in tvOS 10 — from iphonefaq.org by Fred Straker

Excerpt:

The forthcoming update to Apple TV continues to bring fresh surprises for owners of Apple’s set top box. Many improvements are coming to tvOS 10, including single-sign-on support and an upgrade to Siri’s capabilities. Siri has already opened new doors thanks to the bundled Siri Remote, which simplifies many functions on the Apple TV interface. Four main highlights are coming to Siri with tvOS 10, which is expected to launch this fall.

 


 

Addendum on 7/17/16:

CBS News Launches New Apple TV App Designed Exclusively for tvOS — from macrumors.com

Excerpt:

CBS today announced the launch of an all-new Apple TV app that will center around the network’s always-on, 24-hour “CBSN” streaming network and has been designed exclusively for tvOS. In addition to the live stream of CBSN, the app curates news stories and video playlists for each user based on previously watched videos.

The new app will also take advantage of the 4th generation Apple TV’s deep Siri integration, allowing users to tell Apple’s personal assistant that they want to “Watch CBS News” to immediately start a full-screen broadcast of CBSN. While the stream is playing, users can interact with other parts of the app to browse related videos, bookmark some to watch later, and begin subscribing to specific playlists and topics.

 

 

 

 

Will “class be in session” soon on tools like Prysm & Bluescape? If so, there will be some serious global interaction, collaboration, & participation here! [Christian]

From DSC:
Below are some questions and thoughts that are going through my mind:

  • Will “class be in session” soon on tools like Prysm & Bluescape?
  • Will this type of setup be the next platform that we’ll use to meet our need to be lifelong learners? That is, will what we know of today as Learning Management Systems (LMS) and Content Management Systems (CMS) morph into this type of setup?
  • Via platforms/operating systems like tvOS, will our connected TVs turn into much more collaborative devices, allowing us to contribute content with learners from all over the globe?
  • Prysm is already available on mobile devices and what we consider a television continues to morph
  • Will second and third screens be used in such setups? What functionality will be assigned to the main/larger screens? To the mobile devices?
  • Will colleges and universities innovate into such setups?  Or will organizations like LinkedIn.com/Lynda.com lead in this space? Or will it be a bit of both?
  • How will training, learning and development groups leverage these tools/technologies?
  • Are there some opportunities for homeschoolers here?

Along these lines, are are some videos/images/links for you:

 

 

PrysmVisualWorkspace-June2016

 

PrysmVisualWorkspace2-June2016

 

BlueScape-2016

 

BlueScape-2015

 

 



 

 

DSC-LyndaDotComOnAppleTV-June2016

 

 

 

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

 



 

Also see:

kitchenstories-AppleTV-May2016

 

 

 

 


 

Also see:

 


Prysm Adds Enterprise-Wide Collaboration with Microsoft Applications — from ravepubs.com by Gary Kayye

Excerpt:

To enhance the Prysm Visual Workplace, Prysm today announced an integration with Microsoft OneDrive for Business and Office 365. Using the OneDrive for Business API from Microsoft, Prysm has made it easy for customers to connect Prysm to their existing OneDrive for Business environments to make it a seamless experience for end users to access, search for, and sync with content from OneDrive for Business. Within a Prysm Visual Workplace project, users may now access, work within and download content from Office 365 using Prysm’s built-in web capabilities.

 


 

 

 

The future of personalised education — from IBM.com

Excerpt:

From curriculum to career with cognitive systems
Data-driven cognitive technologies will enable personalised education and improve outcomes for students, educators and administrators. Ultimately, education experiences will be transformed and improved when data can accompany the students throughout their life-long learning journey.

In this research, we explore how educators are using digital education services to deliver personalised programs. Through inputs from a series of in-depth interviews, surveys and social listening, we paint a picture of how the world of work and learning might evolve over the next forty years.

 

IBM-PersonalizedLearning-1-May2016

 

IBM-PersonalizedLearning-2-May2016

 

 

IBM-PersonalizedLearning-3-May2016

 

 

 

Thinking about the future of work to make better decisions about learning today — from er.edcause.edu by Marina Gorbis
By looking at historical patterns and identifying signals of change around us today, we can better prepare for the transformations occurring in both work and learning.

Excerpt:

Instead of debating whether learning is for learning’s sake or as a means for earning a living, we need to think about the forces and signals of transformation and what they mean for higher education today and tomorrow.

So let’s explore these deeper transformations.1 From our experience of doing forecasting work for nearly fifty years, we at the IFTF believe that it is usually not one technology or one trend that drives transformative shifts. Rather, a cluster of interrelated technologies, often acting in concert with demographic and cultural changes, is responsible for dramatic changes and disruptions. Technologies coevolve with society and cultural norms—or as Marshall McLuhan is often quoted as having said: “We shape our tools and afterwards our tools shape us.” Nowhere does this apply more critically today than in the world of work and labor. Here, I focus on four clusters of technologies that are particularly important in shaping the changes in the world of work and learning: smart machines; coordination economies; immersive collaboration; and the maker mindset.

 

From DSC:
I appreciate this article — thanks Marina.

Marina’s article — and the work of The Institute for the Future (IFTF) — illustrates how important is it to examine the current and developing future landscapes — trying to ascertain the trends and potential transformations underway.  Such a practice is becoming increasingly relevant and important.

Why?

Because we’re now traveling at exponential rates, not linear rates.

 

SparksAndHoney-ExpVsLinear2013

 

We’re zooming down the highway at 180mph — so our gaze needs to be on the horizons — not on the hoods of our cars.

 

The pace has changed significantly and quickly

 

Institutions of higher education, boot camps, badging organizations, etc. need to start offering more courses and streams of content regarding futurism — and teaching people how to look up.

Not only is this type of perspective/practice helpful for organizations, but it’s becoming increasingly key for us as individuals.

You don’t want to be the person who gets tapped on the shoulder and is told, “I’m sorry…but your services won’t be necessary here anymore. Please join me in the conference room down the hall.”  You then walk down the hall, and as you approach the conference room, you notice that newly placed cardboard is covering the glass — and no one can see into the conference room anymore. You walk in, they shut the door, give you your last pay check and your “pink slip” (so to speak).  Then they give you 5 minutes to gather your belongings.  A security escort walks you to the front door.

Game over.

Pulse checking a variety of landscapes can contribute
towards keeping your bread and butter on the table.

 

 

Also see:

  • Credentials reform: How technology and the changing needs of the workforce will create the higher education system of the future — from er.educause.edu by Jamie Merisotis
    The shift in postsecondary credentialing and the needs of the 21st-century workforce will revolutionize higher education. Colleges and universities have vast potential to be positive agents of this change.
    .
  • New workers, new skills — from er.edcause.edu by Marina Gorbis
    What are the most important skills—the work skills and the life skills—that students should acquire from their educational experience, and what is the best way to teach those skills?Excerpt:
    We found that the following short list of skills not only continues to be relevant but also is even more important as meta-skills in the changing worlds of work:
  • Sense-making: the ability to determine the deeper meaning or significance of what is being expressed
  • Social intelligence: the ability to connect to others in a deep and direct way and to sense and stimulate reactions and desired interactions
  • Novel and adaptive thinking: a proficiency in coming up with solutions and responses beyond those that are rote or rule-based
  • Cross-cultural competency: the ability to operate in different cultural settings, not just geographical but also those that require an adaptability to changing circumstances and an ability to sense and respond to new contexts
  • Computational thinking: the ability to translate vast amounts of data into abstract concepts and to understand data-based reasoning
  • Media literacy: the ability to critically assess and develop content that uses new media forms and to leverage these media forms for persuasive communication
  • Transdisciplinarity: a literacy in, and the ability to understand, concepts across multiple disciplines
  • Design mindset: the ability to represent and develop tasks and work processes for desired outcomes
  • Cognitive load management: the ability to discern and filter data for importance and to understand how to maximize cognitive functioning using a variety of tools and techniques
  • Virtual collaboration: the ability to work productively, drive engagement, and demonstrate presence as a member of a virtual team

While we believe that these ten skills continue to be important, two additional skills have emerged from our ethnographic interviews for these new worker categories: networking IQ and hustle.

 

Thinking about the future is like taking a jog: we can always find something to do instead, but we will be better off later if we take time to do it.

 

 
© 2025 | Daniel Christian