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.

 

 

 


 

 

 
 

From DSC:
After reading the item below, I wondered:

Should technical communicators, trainers, and help desk personnel get trained on how to design and develop “workbots?”


 

Forget chatbots — you should create a workbot instead — from venturebeat.com by Oren Ariel; with thanks to Thomas Frey for his tweet on this

Excerpts (emphasis DSC):

But what about employee-to-company interaction through bots? Chatbots designed for the work environment, or workbots, could become the next step function in work productivity.

Workbots could be the cure for what’s often called “app fatigue.”

They work within the corporate messenger environment (such as Jabber, Skype for Business, Slack, and others) and respond to commands and questions in natural language, whether typed or dictated. They have access to all the corporate information needed to get the job done and can perform complex tasks across multiple systems. The workbot knows what tasks are executed in which back-end system, so the user doesn’t have to know. Because bots rely on natural language processing (NLP) — the ability of humans to interact with computers using free-form language — workbots can help an employee get to the starting point quickly and without any training, in the same way a search engine would, and then help guide the user through the task in a step-by-step fashion.

Chat is no longer just about communication, it’s about bringing the user information.

 

 

 

When AI can transcribe everything — from theatlantic.com by Greg Noone
Tech companies are rapidly developing tools to save people from the drudgery of typing out conversations—and the impact could be profound.

Excerpt:

Despite the recent emergence of browser-based transcription aids, transcription’s an area of drudgery in the modern Western economy where machines can’t quite squeeze human beings out of the equation. That is until last year, when Microsoft built one that could.

Automatic speech recognition, or ASR, is an area that has gripped the firm’s chief speech scientist, Xuedong Huang, since he entered a doctoral program at Scotland’s Edinburgh University. “I’d just left China,” he says, remembering the difficulty he had in using his undergraduate knowledge of the American English to parse the Scottish brogue of his lecturers. “I wished every lecturer and every professor, when they talked in the classroom, could have subtitles.”

“That’s the thing with transcription technology in general,” says Prenger. “Once the accuracy gets above a certain bar, everyone will probably start doing their transcriptions that way, at least for the first several rounds.” He predicts that, ultimately, automated transcription tools will increase both the supply of and the demand for transcripts. “There could be a virtuous circle where more people expect more of their audio that they produce to be transcribed, because it’s now cheaper and easier to get things transcribed quickly. And so, it becomes the standard to transcribe everything.”

 

 

 

 

 

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.

 

 

 

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.

 

Connecting more Americans with jobs — from blog.google by Nick Zakrasek

Excerpt:

We have a long history of using our technology to connect people with crucial information. At I/O, we announced Google for Jobs, a company-wide initiative focused on helping both job seekers and employers, through deep collaboration with the job matching industry. This effort includes the Cloud Jobs API, announced last year, which provides access to Google’s machine learning capabilities to power smarter job search and recommendations within career sites, jobs boards, and other job matching sites and apps. Today, we’re taking the next step in the Google for Jobs initiative by putting the convenience and power of Search into the hands of job seekers. With this new experience, we aim to connect Americans to job opportunities across the U.S., so no matter who you are or what kind of job you’re looking for, you can find job postings that match your needs.

 

 

How to Use Google for Jobs to Rock Your Career — from avidcareerist.com by Donna Svei

Excerpt:

How Does Google for Jobs Work?
Let me walk you through an example.

Go to your Google search bar.
Enter your preferred job title, followed by the word jobs, and your preferred location. Like this:

 

 

Google launches its AI-powered jobs search engine — from techcrunch.com by Frederic Lardinois

Excerpt:

Looking for a new job is getting easier. Google today launched a new jobs search feature right on its search result pages that lets you search for jobs across virtually all of the major online job boards like LinkedIn, Monster, WayUp, DirectEmployers, CareerBuilder and Facebook and others. Google will also include job listings its finds on a company’s homepage.

The idea here is to give job seekers an easy way to see which jobs are available without having to go to multiple sites only to find duplicate postings and lots of irrelevant jobs.

 

 

Google for Jobs Could Save You Time on Your Next Job Search — from lifehacker.comby Patrick Allan

Excerpt:

Google launched its new Google for Jobs feature today, which uses their machine learning Cloud API to put job listings from all the major job service sites in one easy-to-search place.

 

 

 

 

 

 
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