Top trends from InfoComm 2017 — from inavateonthenet.net
AV over IP and huddle rooms are two key takeaways from InfoComm as Paul Milligan wraps up the 2017 show.

 

 

How Amazon’s purchase of Whole Foods highlights the hybrid, ‘omnichannel’ future of higher ed — from edsurge.com by Sean Gallagher

Excerpt:

The expectation that students can integrate their learning experiences across channels is now arriving in higher education. Online education has reached a tipping point where almost 30 percent of all students in U.S. higher education are enrolled in at least one online college course. A significant number of students are already blending their experience across online and offline channels—and numerous data points speak to the evolving value of blending online delivery with physical presence, as suggested by Amazon.

In national surveys of prospective adult students that we have conducted regularly at Northeastern University over recent years, we have consistently found that 60 percent of students prefer a blended or hybrid learning experience. In other words, the majority of the higher education student market is neglected by today’s dominant approach that focuses on offering either online or in-person programs.

Like Amazon, the colleges and universities that are able to deliver across channels—leveraging the combination of physical presence and online algorithms—will be uniquely positioned to take advantage of the in-demand, destination nature of studying in certain cities; the local sourcing of faculty; and proximity to key employers, industries, and job opportunities.

 

Over the next decade, growth and competitive success in higher education will not be a function of who is able to offer online programs. Instead, the successful institutions will be those who can symbiotically integrate their placed-based educational operations and experiences with software-driven analytics, learning science, and machine learning to create a more personalized experience. A more Amazon-like experience.

 

 


From DSC:
A few side comments here:

  1. The future won’t be kind to those institutions who haven’t built up their “street cred” in the digital/virtual space. For example, if you are working at a traditional institution of higher education that doesn’t have online-based programs — nor does it have plans to create such programs in the future — you should get your resume up-to-date and start looking…now.
    .
  2. For data/analytics to have a significant impact and inform strategic or pedagogical decisions, one needs to collect the data. This is not hard to do online. But it’s very difficult — at least at a granular level — to do in a face-to-face environment.
    .
  3. Coursera’s MeetUps around the world — where their learners are encouraged to join study and discussion groups related to their online-only courses — make me wonder about the future of learning spaces and whether your local Starbucks might morph into a learning hub.

 

 

 


 

 

 
 

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.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

 

 

The future of work: Death of the single skill set in the age of automation — from forbes.com by Jeanne Meister

Excerpt:

The future of work is here today, and the nature of both manufacturing and knowledge jobs will never be the same. According to a McKinsey analysis of 2,000 different work activities across 800 occupations, automation will change virtually every job across all occupations. Specifically, McKinsey found that in about 60% of occupations, 30% of tasks could be handed over to robots and bots. “More occupations will change,” the report concludes, “than will be automated away.”

Other sources have predicted that automation of professional knowledge economy jobs in the United States will be more than 10 times as large as the number of manufacturing jobs automated to date.

 

 

So how does one prepare for this volatile, uncertain, complex, and ambiguous world of work? I believe by understanding a simple fact: across many jobs there is a “death of a single skill set,” and what has made you employable today will not be enough to ensure you are employable tomorrow.

 

 

According to recent research by MIT,  90% of executives believe their businesses are being disrupted or reinvented by digital business models, and 70% believe they do not have the right skills.

 

 

 

 

 

Web host agrees to pay $1m after it’s hit by Linux-targeting ransomware — from arstechnica.com by Dan Goodin
Windfall payment by poorly secured host is likely to inspire new ransomware attacks.

Excerpt (emphasis above and below by DSC):

A Web-hosting service recently agreed to pay $1 million to a ransomware operation that encrypted data stored on 153 Linux servers and 3,400 customer websites, the company said recently.

The South Korean Web host, Nayana, said in a blog post published last week that initial ransom demands were for five billion won worth of Bitcoin, which is roughly $4.4 million. Company negotiators later managed to get the fee lowered to 1.8 billion won and ultimately landed a further reduction to 1.2 billion won, or just over $1 million. An update posted Saturday said Nayana engineers were in the process of recovering the data. The post cautioned that that the recovery was difficult and would take time.

 

 

 

An Artificial Intelligence Developed Its Own Non-Human Language — from theatlantic.com by Adrienne LaFrance
When Facebook designed chatbots to negotiate with one another, the bots made up their own way of communicating.

Excerpt:

In the report, researchers at the Facebook Artificial Intelligence Research lab describe using machine learning to train their “dialog agents” to negotiate. (And it turns out bots are actually quite good at dealmaking.) At one point, the researchers write, they had to tweak one of their models because otherwise the bot-to-bot conversation “led to divergence from human language as the agents developed their own language for negotiating.” They had to use what’s called a fixed supervised model instead.

In other words, the model that allowed two bots to have a conversation—and use machine learning to constantly iterate strategies for that conversation along the way—led to those bots communicating in their own non-human language. If this doesn’t fill you with a sense of wonder and awe about the future of machines and humanity then, I don’t know, go watch Blade Runner or something.

 

 

 

AIG teams with IBM to use blockchain for ‘smart’ insurance policy — from reuters.com by Suzanne Barlyn

Excerpt (emphasis DSC):

Insurer American International Group Inc has partnered with International Business Machines Corp to develop a “smart” insurance policy that uses blockchain to manage complex international coverage, the companies said on Wednesday.

AIG and IBM completed a pilot of a so-called “smart contract” multi-national policy for Standard Chartered Bank PLC which the companies said is the first of its kind using blockchain’s digital ledger technology.

IBM has been partnering with leading companies in various industries, including Danish transport company Maersk, to create blockchain-based products that can streamline complex international dealings across sectors.

 

Blockchain technology, which powers the digital currency bitcoin, enables data sharing across a network of individual computers. It has gained worldwide popularity due to its usefulness in recording and keeping track of assets or transactions across all industries.

 

 

From DSC:
Why post this item? Because IBM and others are experimenting with and investing millions into blockchain-based technologies; and because the manner in which credentials are stored and recognized will most likely be significantly impacted by blockchain-based technologies. Earlier this year at the Next Generation Learning Spaces Conference in San Diego, I mentioned that this topic of blockchain-based technologies is something that should be on our radars within higher education.

 

 

 

 

 

 

From DSC:
Given the increasing use of robotics, automation, and artificial intelligence…how should the question of “What sort of education will you need to be employable in the future?” impact what’s being taught within K-12 & within higher education? Should certain areas within higher education, for example, start owning this research, as well as the strategic planning and whether changes are needed to the core curricula for this increasingly important trend?

The future’s coming at us fast — perhaps faster than we think. It seems prudent to work through some potential scenarios and develop plans for those various scenarios now, rather than react to this trend at some point in the future. If we wait, we’ll be trying to “swim up the backside of the wave” as my wise and wonderful father-in-law would say.

 



The above reflections occurred after I reviewed the posting out at cmrubinworld.com (with thanks to @STEMbyThomas for this resource):

  • The Global Search for Education: What Does My Robot Think?
    Excerpt:
    The Global Search for Education is pleased to welcome Ling Lee, Co-Curator of Robots and the Contemporary Science Manager for Exhibitions at the Science Museum in London, to discuss the impact of robots on our past and future.

 

 

 



 

 
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