What a future, powerful, global learning platform will look & act like [Christian]


Learning from the Living [Class] Room:
A vision for a global, powerful, next generation learning platform

By Daniel Christian

NOTE: Having recently lost my Senior Instructional Designer position due to a staff reduction program, I am looking to help build such a platform as this. So if you are working on such a platform or know of someone who is, please let me know: danielchristian55@gmail.com.

I want to help people reinvent themselves quickly, efficiently, and cost-effectively — while providing more choice, more control to lifelong learners. This will become critically important as artificial intelligence, robotics, algorithms, and automation continue to impact the workplace.


 

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

 

Learning from the Living [Class] Room:
A global, powerful, next generation learning platform

 

What does the vision entail?

  • A new, global, collaborative learning platform that offers more choice, more control to learners of all ages – 24×7 – and could become the organization that futurist Thomas Frey discusses here with Business Insider:

“I’ve been predicting that by 2030 the largest company on the internet is going to be an education-based company that we haven’t heard of yet,” Frey, the senior futurist at the DaVinci Institute think tank, tells Business Insider.

  • A learner-centered platform that is enabled by – and reliant upon – human beings but is backed up by a powerful suite of technologies that work together in order to help people reinvent themselves quickly, conveniently, and extremely cost-effectively
  • An AI-backed system of analyzing employment trends and opportunities will highlight those courses and “streams of content” that will help someone obtain the most in-demand skills
  • A system that tracks learning and, via Blockchain-based technologies, feeds all completed learning modules/courses into learners’ web-based learner profiles
  • A learning platform that provides customized, personalized recommendation lists – based upon the learner’s goals
  • A platform that delivers customized, personalized learning within a self-directed course (meant for those content creators who want to deliver more sophisticated courses/modules while moving people through the relevant Zones of Proximal Development)
  • Notifications and/or inspirational quotes will be available upon request to help provide motivation, encouragement, and accountability – helping learners establish habits of continual, lifelong-based learning
  • (Potentially) An online-based marketplace, matching learners with teachers, professors, and other such Subject Matter Experts (SMEs)
  • (Potentially) Direct access to popular job search sites
  • (Potentially) Direct access to resources that describe what other companies do/provide and descriptions of any particular company’s culture (as described by current and former employees and freelancers)

Further details:
While basic courses will be accessible via mobile devices, the optimal learning experience will leverage two or more displays/devices. So while smaller smartphones, laptops, and/or desktop workstations will be used to communicate synchronously or asynchronously with other learners, the larger displays will deliver an excellent learning environment for times when there is:

  • A Subject Matter Expert (SME) giving a talk or making a presentation on any given topic
  • A need to display multiple things going on at once, such as:
  • The SME(s)
  • An application or multiple applications that the SME(s) are using
  • Content/resources that learners are submitting in real-time (think Bluescape, T1V, Prysm, other)
  • The ability to annotate on top of the application(s) and point to things w/in the app(s)
  • Media being used to support the presentation such as pictures, graphics, graphs, videos, simulations, animations, audio, links to other resources, GPS coordinates for an app such as Google Earth, other
  • Other attendees (think Google Hangouts, Skype, Polycom, or other videoconferencing tools)
  • An (optional) representation of the Personal Assistant (such as today’s Alexa, Siri, M, Google Assistant, etc.) that’s being employed via the use of Artificial Intelligence (AI)

This new learning platform will also feature:

  • Voice-based commands to drive the system (via Natural Language Processing (NLP))
  • Language translation (using techs similar to what’s being used in Translate One2One, an earpiece powered by IBM Watson)
  • Speech-to-text capabilities for use w/ chatbots, messaging, inserting discussion board postings
  • Text-to-speech capabilities as an assistive technology and also for everyone to be able to be mobile while listening to what’s been typed
  • Chatbots
    • For learning how to use the system
    • For asking questions of – and addressing any issues with – the organization owning the system (credentials, payments, obtaining technical support, etc.)
    • For asking questions within a course
  • As many profiles as needed per household
  • (Optional) Machine-to-machine-based communications to automatically launch the correct profile when the system is initiated (from one’s smartphone, laptop, workstation, and/or tablet to a receiver for the system)
  • (Optional) Voice recognition to efficiently launch the desired profile
  • (Optional) Facial recognition to efficiently launch the desired profile
  • (Optional) Upon system launch, to immediately return to where the learner previously left off
  • The capability of the webcam to recognize objects and bring up relevant resources for that object
  • A built in RSS feed aggregator – or a similar technology – to enable learners to tap into the relevant “streams of content” that are constantly flowing by them
  • Social media dashboards/portals – providing quick access to multiple sources of content and whereby learners can contribute their own “streams of content”

In the future, new forms of Human Computer Interaction (HCI) such as Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) will be integrated into this new learning environment – providing entirely new means of collaborating with one another.

Likely players:

  • Amazon – personal assistance via Alexa
  • Apple – personal assistance via Siri
  • Google – personal assistance via Google Assistant; language translation
  • Facebook — personal assistance via M
  • Microsoft – personal assistance via Cortana; language translation
  • IBM Watson – cognitive computing; language translation
  • Polycom – videoconferencing
  • Blackboard – videoconferencing, application sharing, chat, interactive whiteboard
  • T1V, Prsym, and/or Bluescape – submitting content to a digital canvas/workspace
  • Samsung, Sharp, LCD, and others – for large displays with integrated microphones, speakers, webcams, etc.
  • Feedly – RSS aggregator
  • _________ – for providing backchannels
  • _________ – for tools to create videocasts and interactive videos
  • _________ – for blogs, wikis, podcasts, journals
  • _________ – for quizzes/assessments
  • _________ – for discussion boards/forums
  • _________ – for creating AR, MR, and/or VR-based content

 

 

How to improve memory retention in online training — from growthengineering.co.uk by Christopher Pappas
Are your employees really absorbing the information? Or is the forgetting curve putting a strain on workplace productivity and company profits? In this article, I’ll share 9 sure-fire ways to improve memory retention in your online training program.

Excerpt:

1. USE BRANCHING SCENARIOS TO FACILITATE MISTAKE-DRIVEN LEARNING
Mistakes can be valuable teachers. One of the best ways to facilitate mistake-driven learning is using branching scenarios to impart experience. These scenarios involve various decision-making paths that result in repercussions. Employees are able to try out different approaches and evaluate their own performance. Thus, they can learn from their mistakes and see where each action or behavior leads them. Mistakes also serve another important purpose, which is to make the online training experience more memorable. Errors and the knowledge we gain from them stands out in our minds. As such, the information is more likely to stick.

4. INCORPORATE A “MOMENT OF NEED” ONLINE TRAINING REPOSITORY
That brings us to the next tip, which is to incorporate a “just in time” online training library. This features microlearning online training resources that are easy to digest and remember. Employees can access support tools based on their needs, goals, and skill gaps. Best of all, they can expand their knowledge whenever it’s most convenient, whether that’s on the sales floor, before a client meeting, or during the morning commute. “Moment of need” online training repositories aid in memory retention by breaking the online training content into consumable pieces, instead of barraging your employees with large quantities of information.

 

Australian start-up taps IBM Watson to launch language translation earpiece — from prnewswire.com
World’s first available independent translation earpiece, powered by AI to be in the hands of consumers by July

Excerpts:

SYDNEY, June 12, 2017 /PRNewswire/ — Lingmo International, an Australian technology start-up, has today launched Translate One2One, an earpiece powered by IBM Watson that can efficiently translate spoken conversations within seconds, being the first of its kind to hit global markets next month.

Unveiled at last week’s United Nations Artificial Intelligence (AI) for Good Summit in Geneva, Switzerland, the Translate One2One earpiece supports translations across English, Japanese, French, Italian, Spanish, Brazilian Portuguese, German and Chinese. Available to purchase today for delivery in July, the earpiece carries a price tag of $179 USD, and is the first independent translation device that doesn’t rely on Bluetooth or Wi-Fi connectivity.

 

Lingmo International, an Australian technology start-up, has today launched Translate One2One, an earpiece powered by IBM Watson that can efficiently translate spoken conversations within seconds.

 

 

From DSC:
How much longer before this sort of technology gets integrated into videoconferencing and transcription tools that are used in online-based courses — enabling global learning at a scale never seen before? (Or perhaps NLP-based tools are already being integrated into global MOOCs and the like…not sure.) It would surely allow for us to learn from each other in a variety of societies throughout the globe.

 

 

 

The Classroom of Tomorrow: A Panel Discussion — sponsored by Kaltura

Description:
Technology is changing the way we approach education, rapidly. But what will tomorrow’s classroom actually look like? We’ve invited some leading experts for a spirited debate about what the future holds for educational institutions. From personalization to predictive analytics to portable digital identities, we’ll explore the biggest changes coming. We’ll see how new technologies might interact with changing demographics, business models, drop out rates, and more.

Panelists:

  • David Nirenberg – Dean of the Division of the Social Sciences, University of Chicago
  • Rick Kamal – Chief Technology Officer, Harvard Business School, HBX
  • Gordon Freedman – President, National Laboratory for Education Transformation
  • Michael Markowitz – Entrepreneur and Investor, Education
  • Dr Michal Tsur – Co-founder and President, Kaltura

 

Also see:

  • Roadmap to the Future — by Dr Michal Tsur – Co-founder and President, Kaltura
    What are some of the leading trends emerging from the educational technology space? Michal Tsur takes you on a quick tour of big trends you should be aware of. Then, get a glimpse of Kaltura’s own roadmap for lecture capture and more.

 

 

Regarding the above items, some thoughts from DSC:
Kaltura did a nice job of placing the focus on a discussion about the future of the classroom as well as on some trends to be aware of, and not necessarily on their own company (this was especially the case in regards to the panel discussion). They did mention some things about their newest effort, Kaltura Lecture Capture, but this was kept to a very reasonable amount.

 

 

The Higher Education Technology Paradox — from edtechmagazine.com by Hank Lucas
The academic rewards system will continue to stymie technology adoption unless higher ed administrators promote organizational change.

Excerpts:

The number one paradox in higher education is that technology is both transforming and disrupting universities around the world. Institutions that adapt to the technology and become content producers will survive and flourish; those confined to being content consumers will struggle to stay in business.

What does it take for a university to develop the kind of materials described above? Obviously, it requires money, but more than money it needs a motivated and committed faculty. The reward system in most institutions and the inherent conservatism of faculty members create a huge barrier to adopting new technologies for education. (Many faculty members are in denial that the technology can improve student learning and that it will be widely implemented.)

How does the reward system impact technology adoption?

  • Assistant professors at research universities are rewarded for publishing scholarly articles and books, which they must do to be granted tenure. They cannot risk the time needed to master the new technologies.
  • Tenured faculty can largely do what they want, and by the time they have received tenure have fallen into a rhythm of research and teaching; once tenured they are expected to undertake more service to the institution. Where does the time come from to adopt a new approach to the classroom?
  • Non-tenure track instructors are employed because they are good, or at least adequate, teachers. Adopting new technology in the classroom is risky and could result in lower student evaluations, which in turn could affect their employment status.

 


From DSC:
This is one of the reasons why I believe that a new organization will arise in the future that uses a solid, team-based approach from day 1. They will have teams of experts from a variety of fields/disciplines — and they will have the types of incentive systems that one would expect to see in startup companies. They will value innovation and will see to it that ideas can be grown and supported.

Anybody come to mind? How about Amazon.com? 

Also, faculty members — like all of us — have a limited amount of time and energy. The current workplace has loaded up faculty members’ job plates — they don’t have much time to experiment with new technologies. Also — again, like all of us — they have a variety of skills and interests. Many times, those skills and interest don’t involve working with technology. 

Look for more team-based approaches to dominate the future of higher education.


 

A question/reflection from DSC:


Will #MOOCs provide the necessary data for #AI-based intelligent agents/algorithms? Reminds me of Socratic.org:


 

 


Somewhat related:

 

Online Learning—from Innovation to Adoption: Introducing the CHLOE Survey   — from eduventures.com by Richard Garrett & Ron Legon

Excerpt:

It’s now more than 20 years since online learning came on the scene. At the outset, many skeptics questioned its quality and reliability. Online learning faced widespread resistance among faculty conditioned by centuries-old, classroom-based education and lacking in computer skills. There were substantial start-up costs, technical deficiencies, and regulatory uncertainty to overcome.

With all these obstacles, many doubted whether online learning would gain a permanent foothold in U.S. higher education. The former Babson Survey Research Group/Sloan-C survey of chief academic officers focused on the fundamental issues of counting online students and attitudes for or against its adoption.

Today, the number of online students is no longer a mystery, and there is wide acceptance of the delivery mode among administrators and faculty. This innovation, in the means of delivering higher education, is here to stay. It is no longer experimental, but a fixture in mainstream institutions, accounting for a large and still growing proportion of total postsecondary enrollment.

Online learning has changed higher education, but higher education has also shaped online learning. There is no doubt that online learning is here to stay, but what is far less clear is the balance between innovation and consolidation, transformation and integration within institutions and across the field as a whole going forward. The planned series of annual CHLOE Surveys will provide much-needed insight.

 

 

 

Signs of a Ceiling in Online Ed Market — from insidehighered.com by Carl Straumsheim
Report on online education landscape suggests potentially leaner times ahead for colleges hoping to profit in the market. Community colleges are already seeing it.

Excerpt:

Is the community college sector the canary in the coal mine for the online education market?

A new survey of online education administrators at 104 colleges and universities released today shows — as other studies have suggested — that public and private four-year institutions saw healthy enrollment growth in their fully online programs in spring 2016 compared to the year before, and that they are showing few signs of slowing their investments in the space.

The situation is not the same at two-year colleges. Online programs at all institutions grew on average by 9 percent year over year, but at community colleges, growth typically registered 1 to 2 percent. And while only a handful of the public or private four-year institutions surveyed said their online enrollments shrank from 2015 to 2016, findings at community colleges were mixed: 33 percent saw growth, 27 percent decline and 40 percent stability.

 

 

 

From DSC:
It appears that the concept of “windows of opportunity” is also true with online learning; and the key thing for all community colleges, colleges and universities to reflect upon is that these windows don’t stay open forever. 

But another thing is that the world is going increasingly digital/virtual — especially in regards to the increasingly common usage of automation, robotics, and artificial intelligence. Our forms of Human Computer Interaction (HCI) continue to morph (AR, VR, Alexa and other personal assistants, etc.)

So some questions come to my mind:

  1. If one’s institution doesn’t offer a healthy assortment of online/virtually-based courses in the future, how might that situation impact the public’s perception of that particular institution? How might that situation impact recruitment and retention?
    .
  2. What’s going to happen when online-based learning experiences provide far more personalization, customization, and efficiency than our face-to-face courses can provide? Ask any faculty member speaking to 40-250+ students if they truly know the learning preferences, academic goals, and career goals of any given student — and I’ll bet you they have no idea. There’s simply not enough time to get to that level of information in many cases, and this situation is only getting tougher to do so. Don’t get me wrong. Many people will always prefer to learn in a physical environment, surrounded by other learners. But if the innovations continue to take place in the online learning-based environments, then Clayton Christensen’s theories of disruption could prove to be spot on — especially if the most innovative institutions of the future will be able to offer degrees at significantly reduced prices.

 

 

 
 

Veeery interesting. Alexa now adds visuals / a screen! With the addition of 100 skills a day, where might this new platform lead?

Amazon introduces Echo Show

The description reads:

  • Echo Show brings you everything you love about Alexa, and now she can show you things. Watch video flash briefings and YouTube, see music lyrics, security cameras, photos, weather forecasts, to-do and shopping lists, and more. All hands-free—just ask.
  • Introducing a new way to be together. Make hands-free video calls to friends and family who have an Echo Show or the Alexa App, and make voice calls to anyone who has an Echo or Echo Dot.
  • See lyrics on-screen with Amazon Music. Just ask to play a song, artist or genre, and stream over Wi-Fi. Also, stream music on Pandora, Spotify, TuneIn, iHeartRadio, and more.
  • Powerful, room-filling speakers with Dolby processing for crisp vocals and extended bass response
  • Ask Alexa to show you the front door or monitor the baby’s room with compatible cameras from Ring and Arlo. Turn on lights, control thermostats and more with WeMo, Philips Hue, ecobee, and other compatible smart home devices.
  • With eight microphones, beam-forming technology, and noise cancellation, Echo Show hears you from any direction—even while music is playing
  • Always getting smarter and adding new features, plus thousands of skills like Uber, Jeopardy!, Allrecipes, CNN, and more

 

 

 

 

 

 



From DSC:

Now we’re seeing a major competition between the heavy-hitters to own one’s living room, kitchen, and more. Voice controlled artificial intelligence. But now, add the ability to show videos, text, graphics, and more. Play music. Control the lights and the thermostat. Communicate with others via hands-free video calls.

Hmmm….very interesting times indeed.

 

 

Developers and corporates released 4,000 new skills for the voice assistant in just the last quarter. (source)

 

…with the company adding about 100 skills per day. (source)

 

 

 

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

 

 



 

Addendum on 5/10/17:

 



 

 

The 2017 Dean’s List: EdTech’s 50 Must-Read Higher Ed Blogs [Meghan Bogardus Cortez at edtechmagazine.com]

 

The 2017 Dean’s List: EdTech’s 50 Must-Read Higher Ed Blogs — from edtechmagazine.com by Meghan Bogardus Cortez
These administrative all-stars, IT gurus, teachers and community experts understand how the latest technology is changing the nature of education.

Excerpt:

With summer break almost here, we’ve got an idea for how you can use some of your spare time. Take a look at the Dean’s List, our compilation of the must-read blogs that seek to make sense of higher education in today’s digital world.

Follow these education trailblazers for not-to-be-missed analyses of the trends, challenges and opportunities that technology can provide.

If you’d like to check out the Must-Read IT blogs from previous years, view our lists from 2016, 2015, 2014 and 2013.

 

 



From DSC:
I would like to thank Tara Buck, Meghan Bogardus Cortez, D. Frank Smith, Meg Conlan, and Jimmy Daly and the rest of the staff at EdTech Magazine for their support of this Learning Ecosystems blog through the years — I really appreciate it. 

Thanks all for your encouragement through the years!



 

 

 

 
 

The Future of Jobs and Jobs Training — from by Lee Rainie and Janna Anderson
As robots, automation and artificial intelligence perform more tasks and there is massive disruption of jobs, experts say a wider array of education and skills-building programs will be created to meet new demands. There are two uncertainties: Will well-prepared workers be able to keep up in the race with AI tools? And will market capitalism survive?

Excerpt:

Machines are eating humans’ jobs talents. And it’s not just about jobs that are repetitive and low-skill. Automation, robotics, algorithms and artificial intelligence (AI) in recent times have shown they can do equal or sometimes even better work than humans who are dermatologists, insurance claims adjusters, lawyers, seismic testers in oil fields, sports journalists and financial reporters, crew members on guided-missile destroyers, hiring managers, psychological testers, retail salespeople, and border patrol agents. Moreover, there is growing anxiety that technology developments on the near horizon will crush the jobs of the millions who drive cars and trucks, analyze medical tests and data, perform middle management chores, dispense medicine, trade stocks and evaluate markets, fight on battlefields, perform government functions, and even replace those who program software – that is, the creators of algorithms.

Several policy and market-based solutions have been promoted to address the loss of employment and wages forecast by technologists and economists. A key idea emerging from many conversations, including one of the lynchpin discussions at the World Economic Forum in 2016, is that changes in educational and learning environments are necessary to help people stay employable in the labor force of the future. Among the six overall findings in a new 184-page report from the National Academies of Sciences, the experts recommended: “The education system will need to adapt to prepare individuals for the changing labor market. At the same time, recent IT advances offer new and potentially more widely accessible ways to access education.”

 

 

In the next 10 years, do you think we will see the emergence of new educational and training programs that can successfully train large numbers of workers in the skills they will need to perform the jobs of the future?

 

 

 

 



From DSC:
The following questions (from the article) might be fodder for initial conversations regarding what changes need to immediately occur within higher education. Those changes might be to establish teams/task forces/etc. charged with answering these kinds of questions.

  • What are the most important skills needed to succeed in the workforce of the future?
  • Which of these skills can be taught effectively via online systems – especially those that are self-directed – and other nontraditional settings?
  • Which skills will be most difficult to teach at scale?
  • Will employers be accepting of applicants who rely on new types of credentialing systems, or will they be viewed as less qualified than those who have attended traditional four-year and graduate programs?

The following section further supports a vision that I’ve been tracking entitled, “Learning from the Living [Class] Room” — where I see the “New Amazon.com of Higher Education” unfolding. Blockchain-based technologies will likely be involved here.

A diversifying education and credentialing ecosystem: Most of these experts expect the education marketplace – especially online learning platforms – to continue to change in an effort to accommodate the widespread needs.  Some predict employers will step up their own efforts to train and retrain workers. Many foresee a significant number of self-teaching  efforts by jobholders themselves as they take advantage of proliferating online opportunities.

Respondents see a new education and training ecosystem emerging in which some job preparation functions are performed by formal educational institutions in fairly traditional classroom settings, some elements are offered online, some are created by for-profit firms, some are free, some exploit augmented and virtual reality elements and gaming sensibilities, and a lot of real-time learning takes place in formats that job seekers pursue on their own.

A considerable number of respondents to this canvassing focused on the likelihood that the best education programs will teach people how to be lifelong learners. Accordingly, some say alternative credentialing mechanisms will arise to assess and vouch for the skills people acquire along the way.

 

 

DC: Many societies around the globe are looking at massive change coming at them. What changes should those of us working in higher education begin to make — immediately? In the longer term?

 



 

 

These respondents suggest that workers of the future will learn to deeply cultivate and exploit creativity, collaborative activity, abstract and systems thinking, complex communication, and the ability to thrive in diverse environments.

 

 



 

Addendum on 5/6/17:

  • How to Prepare for an Automated Future — from nytimes.com by Claire Cain Miller
    Excerpt:
    We don’t know how quickly machines will displace people’s jobs, or how many they’ll take, but we know it’s happening — not just to factory workers but also to money managers, dermatologists and retail workers. The logical response seems to be to educate people differently, so they’re prepared to work alongside the robots or do the jobs that machines can’t. But how to do that, and whether training can outpace automation, are open questions.

 

 

 

‘Volatile’ but growing online ed market — from insidehighered.com by Carl Straumsheim
Online enrollment continues to grow as the total number of students in college shrinks. The growth is particularly strong at private nonprofit colleges, report finds.

Excerpt:

The enrollment growth at private nonprofit colleges means the sector has passed for-profit colleges as the second-largest in the distance education market. Public institutions still teach the majority of online students: 67.8 percent, according to the 2015 data. Of the six million who studied online in fall 2015, 4.1 million attended public institutions, one million private nonprofit colleges and about 871,000 for-profit institutions.

 

 

 

From DSC:
And this growth is without the next wave of artificial intelligence-enabled applications and customized/personalized services that it will deliver.

I fully well realize that even if AI-based education comes into existence (which it will) and the online world delivers incredible learning experiences — and results — many people will still want to learn in a face-to-face manner. I get it.

But especially for the lifelong learner, colleges and universities need to move towards implementing more programs aimed at helping lifelong learners QUICKLY reinvent themselves.

 

 

 

 

Purdue University to Acquire Kaplan University — from wsj.com by Douglas Belkin and Melissa Korn
Purdue President Mitch Daniels calls deal major push into online education

Excerpt:

Purdue University, a flagship public institution in Indiana, is jumping into online education by buying for-profit Kaplan University with the aim of creating a new, public online university.

 

Also see:

Purdue Buys For-Profit Kaplan University for $1 to Create New Kind of Public University — from edsurge.com b

The sale price for Kaplan University’s 15 campuses was $1, though with one important catch: The new nonprofit university operated by Purdue promised to give a percentage of its revenue back to its former owner, Kaplan, Inc., for the next 30 years.

 

 



Addendum on 5/3/17:

 



 

 

From DSC:
In terms of learning, having to be in the same physical place as others continues to not be a requirement nearly as much as it used to be. But I’m not just talking about online learning here. I’m talking about a new type of learning environment that involves both hardware and software to facilitate collaboration (and it was designed that way from day 1). These new types of setups can provide us with new opportunities and affordances that we should begin experimenting with immediately.

Check out the following products — all of which allow a person to contribute to a discussion or conversation from anywhere they can get Internet access:

When you go to those sites, you will see words and phrase such as:

  • Visual collaboration software
  • Virtual workspace
  • Develop
  • Share
  • Inspire
  • Design
  • Global teams
  • A visual collaboration solution that links locations, teams, content, and devices in an immersive, shared workspace
  • Teamwork
  • Create and brainstorm with others
  • Digital workplace platform
  • Eliminate the distance between in-office and remote employees
  • Jumpstart spontaneous brainstorms and working sessions

So using these types of software and hardware setups, I can contribute regardless of where I’m located. Remote learning — from anywhere in the world — being combined with our face-to-face based classrooms.

Also, the push for Active Learning Classrooms (ALCs) continues across higher education. Such hands-on, project-learning based, student-centered approaches fit extremely well with the collaboration setups mentioned above.

Then, there’s the insight from Simon Dudley in this article:

“…video conferencing is increasingly an application within in a larger workflow…”

Lastly, if colleges and universities don’t have the funds to maintain their physical plants, look for higher education to move increasingly online — and these types of solutions could play a significant role in that environment. Plus, for working adults who need to reinvent themselves, this is an extremely efficient means of picking up some new skills and competencies.

So the growth of these types of setups — where the software and hardware work together to support worldwide collaboration — will likely create a powerful, new, emerging piece of our learning ecosystems.

 



 

 

 

 

 

 

 

 

 

 



 

Remote learning — from anywhere in the world — being combined with our face-to-face based classrooms.

 



 

 
© 2024 | Daniel Christian