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 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.

 

 

A question/reflection from DSC:


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


 

 


Somewhat related:

 

4 Ways Technology Is Changing Recruiting — from blog.hrtechweekly.com by Ji-A Min

Excerpt:

AI for recruiting
Industry statistics estimate 75 percent of resumes received for a role are screened out. This adds up to the hundreds of hours a recruiter wastes reading unqualified resumes per year. As one of recruiting’s biggest bottlenecks, resume screening is in dire need of better tools to help recruiters manage their time more effectively. This is why AI for recruiting is the biggest topic in HR tech right now. AI and recruiting are a natural fit because AI requires a lot of data to learn and large companies often have millions of resumes in their ATS.

Recruiting software that uses artificial intelligence can automate the screening process by learning the experience, skills, and qualifications required for the job and then shortlisting, ranking, and grading new candidates who match the requirements (e.g., from A to D). This type of AI recruiting software can also be used to source candidates from external databases such as Indeed and CareerBuilder or find previous candidates in your existing ATS database by applying the same learning ability to match candidates to an open req. By automating the manual processes of resume screening and candidate matching, companies who use AI recruiting software have reduced their screening costs by 75%.

Comment from DSC:
This is exactly why I tell my students to be sure they have an account on LinkedIn — which is owned by Microsoft. A piece of Microsoft will likely traverse down the AI-based pathway. (I also encourage them to have other pieces of their digital/online-based footprint such as an account on Twitter as well as their own WordPress-based blog).  Data mining and the use of AI for hiring will only pick up steam from here on out. If you don’t exist online, you had better have a lot of contacts and foots in the doors elsewhere.

 

 

Today more than ever, finding top talent will depend on a recruiter’s ability to intelligently automate their workflow.

 

 

 

Google is shifting their focus from Search to artificial intelligence, CEO says — from zmescience.com by

Excerpt:

While delivering Google’s first quarterly income report on Thursday, the company’s CEO said that Google is transitioning — the search-engine giant will become an A.I.-first company.

“We continue to set the pace in machine learning and A.I. research,” said Google CEO Sundar Pichai said in a call [embedded at the end of the article] to investors on Thursday to report the company’s Q1 2017 earnings.

“We’re transitioning to an A.I.-first company.”

 

 

 

A revolutionary partnership: How artificial intelligence is pushing man and machine closer together — from pcw.com

Excerpt:

With more than $5 billion in 605 deals of VC investment over last 2 years, artificial intelligence (AI) is poised to have a transformative effect on consumer, enterprise, and government markets around the world. While there are certainly obstacles to overcome, consumers believe that AI has the potential to assist in medical breakthroughs, democratize costly services, elevate poor customer service, and even free up an overburdened workforce. We dug deeper into those perceptions through an online survey of consumers and business decision makers, and an expert salon with thought leaders in the field. This original research unpacks key ways AI may impact our world, delving into its implications for society, service, and management.

 

Also see:

AI has the potential to become a great equalizer. More than half of consumers believe AI will provide educational help to disadvantaged schoolchildren. Over 40% also believe AI will expand access to financial, medical, legal, and transportation services to those with lower incomes.

Consumers also see the value in sharing their personal information for the greater good: 62% would share their data to help relieve traffic in their cities and 57% would do so to further medical breakthroughs.

 

 

 

Brace yourselves: AI is set to explode in higher ed in the next 4 years –from ecampusnews.com by Laura Ascione
As AI grows in the education sector, its impact could be felt in student learning programs, websites and admissions programs

Excerpt:

A new report predicts that artificial intelligence (AI) in the U.S. education sector will grow 47.5 percent through 2021.

The report, Artificial Intelligence Market in the U.S. Education Sector 2017-2021, is based on in-depth market analysis with inputs from industry experts.

One of the major trends surrounding AI and education is AI-powered educational games. Because games have the potential to engage students while teaching them challenging education concepts in an engaging manner, vendors are incorporating AI features into games to enhance their interactivity.

Educational games that include adaptive learning features give students frequent and timely suggestions for a guided learning experience.

 

From DSC:
I can’t say how many AI-based solutions we’ll see within higher education in the next 4 years…it could be a lot…it could be a little. But it will happen. At some point, it will happen.

The use of AI will likely play a key role in a future organization that I’m calling the Next Amazon.com of Higher Education.  AI will likely serve as a foundational piece of what futurist Thomas Frey claims will be the largest company on the internet: “an education-based company that we haven’t heard of yet.” (source)

Web-based learner profiles and blockchain-based technologies should also be on our radars, and are relevant in this discussion.

 

Also see:

Key questions answered in this report

  • What will the market size be in 2021 and what will the growth rate be?
  • What are the key market trends?
  • What is driving this market?
  • What are the challenges to market growth?
  • Who are the key vendors in this market space?
  • What are the market opportunities and threats faced by the key vendors?
  • What are the strengths and weaknesses of the key vendors?

 

 

 

Q&A: Artificial Intelligence Expert Shares His Vision of the Future of Education — from edtechmagazine.com by Amy Burroughs
Artificial intelligence expert Joseph Qualls believes AI can solve some of the biggest challenges facing higher education — and the change is already underway.

Excerpts:

EDTECH: What AI applications might we see in higher education?

QUALLS: You are going to see a massive change in education from K–12 to the university. The thought of having large universities and large faculties teaching students is probably going to go away — not in the short-term, but in the long-term. You will have a student interact with an AI system that will understand him or her and provide an educational path for that particular student. Once you have a personalized education system, education will become much faster and more enriching. You may have a student who can do calculus in the sixth grade because AI realized he had a mathematical sense. That personalized education is going to change everything.

 

 

 

 

 

 

The Dark Secret at the Heart of AI — from technologyreview.com by Will Knight
No one really knows how the most advanced algorithms do what they do. That could be a problem.

Excerpt:

The mysterious mind of this vehicle points to a looming issue with artificial intelligence. The car’s underlying AI technology, known as deep learning, has proved very powerful at solving problems in recent years, and it has been widely deployed for tasks like image captioning, voice recognition, and language translation. There is now hope that the same techniques will be able to diagnose deadly diseases, make million-dollar trading decisions, and do countless other things to transform whole industries.

But this won’t happen—or shouldn’t happen—unless we find ways of making techniques like deep learning more understandable to their creators and accountable to their users. Otherwise it will be hard to predict when failures might occur—and it’s inevitable they will. That’s one reason Nvidia’s car is still experimental.

 

“Whether it’s an investment decision, a medical decision, or maybe a military decision, you don’t want to just rely on a ‘black box’ method.”

 


This raises mind-boggling questions. As the technology advances, we might soon cross some threshold beyond which using AI requires a leap of faith. Sure, we humans can’t always truly explain our thought processes either—but we find ways to intuitively trust and gauge people. Will that also be possible with machines that think and make decisions differently from the way a human would? We’ve never before built machines that operate in ways their creators don’t understand. How well can we expect to communicate—and get along with—intelligent machines that could be unpredictable and inscrutable? These questions took me on a journey to the bleeding edge of research on AI algorithms, from Google to Apple and many places in between, including a meeting with one of the great philosophers of our time.

 

 

 

NMC Horizon Report > 2017 Library Edition — from nmc.org

Excerpt:

What is on the five-year horizon for academic and research libraries? Which trends and technology developments will drive transformation? What are the critical challenges and how can we strategize solutions? These questions regarding technology adoption and educational change steered the discussions of 77 experts to produce the NMC Horizon Report: 2017 Library Edition, in partnership with the University of Applied Sciences (HTW) Chur, Technische Informationsbibliothek (TIB), ETH Library, and the Association of College & Research Libraries (ACRL). Six key trends, six significant challenges, and six developments in technology profiled in this report are poised to impact library strategies, operations, and services with regards to learning, creative inquiry, research, and information management. The three sections of this report constitute a reference and technology planning guide for librarians, library leaders, library staff, policymakers, and technologists.

 

 

 

 

 

Tech giants grapple with the ethical concerns raised by the AI boom — from technologyreview.com by Tom Simonite
As machines take over more decisions from humans, new questions about fairness, ethics, and morality arise.

Excerpt:

With great power comes great responsibility—and artificial-intelligence technology is getting much more powerful. Companies in the vanguard of developing and deploying machine learning and AI are now starting to talk openly about ethical challenges raised by their increasingly smart creations.

“We’re here at an inflection point for AI,” said Eric Horvitz, managing director of Microsoft Research, at MIT Technology Review’s EmTech conference this week. “We have an ethical imperative to harness AI to protect and preserve over time.”

Horvitz spoke alongside researchers from IBM and Google pondering similar issues. One shared concern was that recent advances are leading companies to put software in positions with very direct control over humans—for example in health care.

 

 

59 impressive things artificial intelligence can do today — from businessinsider.com by Ed Newton-Rex

Excerpt:

But what can AI do today? How close are we to that all-powerful machine intelligence? I wanted to know, but couldn’t find a list of AI’s achievements to date. So I decided to write one. What follows is an attempt at that list. It’s not comprehensive, but it contains links to some of the most impressive feats of machine intelligence around. Here’s what AI can do…

 

 

 


Recorded Saturday, February 25th, 2017 and published on Mar 16, 2017


Description:

Will progress in Artificial Intelligence provide humanity with a boost of unprecedented strength to realize a better future, or could it present a threat to the very basis of human civilization? The future of artificial intelligence is up for debate, and the Origins Project is bringing together a distinguished panel of experts, intellectuals and public figures to discuss who’s in control. Eric Horvitz, Jaan Tallinn, Kathleen Fisher and Subbarao Kambhampati join Origins Project director Lawrence Krauss.

 

 

 

 

Description:
Elon Musk, Stuart Russell, Ray Kurzweil, Demis Hassabis, Sam Harris, Nick Bostrom, David Chalmers, Bart Selman, and Jaan Tallinn discuss with Max Tegmark (moderator) what likely outcomes might be if we succeed in building human-level AGI, and also what we would like to happen. The Beneficial AI 2017 Conference: In our sequel to the 2015 Puerto Rico AI conference, we brought together an amazing group of AI researchers from academia and industry, and thought leaders in economics, law, ethics, and philosophy for five days dedicated to beneficial AI. We hosted a two-day workshop for our grant recipients and followed that with a 2.5-day conference, in which people from various AI-related fields hashed out opportunities and challenges related to the future of AI and steps we can take to ensure that the technology is beneficial.

 

 


(Below emphasis via DSC)

IBM and Ricoh have partnered for a cognitive-enabled interactive whiteboard which uses IBM’s Watson intelligence and voice technologies to support voice commands, taking notes and actions and even translating into other languages.

 

The Intelligent Workplace Solution leverages IBM Watson and Ricoh’s interactive whiteboards to allow to access features via using voice. It makes sure that Watson doesn’t just listen, but is an active meeting participant, using real-time analytics to help guide discussions.

Features of the new cognitive-enabled whiteboard solution include:

  • Global voice control of meetings: Once a meeting begins, any employee, whether in-person or located remotely in another country, can easily control what’s on the screen, including advancing slides, all through simple voice commands using Watson’s Natural Language API.
  • Translation of the meeting into another language: The Intelligent Workplace Solution can translate speakers’ words into several other languages and display them on screen or in transcript.
  • Easy-to-join meetings: With the swipe of a badge the Intelligent Workplace Solution can log attendance and track key agenda items to ensure all key topics are discussed.
  • Ability to capture side discussions: During a meeting, team members can also hold side conversations that are displayed on the same whiteboard.

 


From DSC:

Holy smokes!

If you combine the technologies that Ricoh and IBM are using with their new cognitive-enabled interactive whiteboard with what Bluescape is doing — by providing 160 acres of digital workspace that’s used to foster collaboration (and to do so whether you are working remoting or working with others in the same physical space) — and you have one incredibly powerful platform! 

#NLP  |  #AI  |  #CognitiveComputing  | #SmartClassrooms
#LearningSpaces  |#Collaboration |  #Meetings 

 

 


 

 

 


 

AI Market to Grow 47.5% Over Next Four Years — from campustechnology.com by Richard Chang

Excerpt:

The artificial intelligence (AI) market in the United States education sector is expected to grow at a compound annual growth rate of 47.5 percent during the period 2017-2021, according to a new report by market research firm Research and Markets.

 

 

Amazon deepens university ties in artificial intelligence race — from by Jeffrey Dastin

Excerpt:

Amazon.com Inc has launched a new program to help students build capabilities into its voice-controlled assistant Alexa, the company told Reuters, the latest move by a technology firm to nurture ideas and talent in artificial intelligence research.

Amazon, Alphabet Inc’s Google and others are locked in a race to develop and monetize artificial intelligence. Unlike some rivals, Amazon has made it easy for third-party developers to create skills for Alexa so it can get better faster – a tactic it now is extending to the classroom.

 

 

The WebMD skill for Amazon’s Alexa can answer all your medical questions — from digitaltrends.com by Kyle Wiggers
WebMD is bringing its wealth of medical knowledge to a new form factor: Amazon’s Alexa voice assistant.

Excerpt:

Alexa, Amazon’s brilliant voice-activated smart assistant, is a capable little companion. It can order a pizza, summon a car, dictate a text message, and flick on your downstairs living room’s smart bulb. But what it couldn’t do until today was tell you whether that throbbing lump on your forearm was something that required medical attention. Fortunately, that changed on Tuesday with the introduction of a WebMD skill that puts the service’s medical knowledge at your fingertips.

 

 


Addendum:

  • How artificial intelligence is taking Asia by storm — from techwireasia.com by Samantha Cheh
    Excerpt:
    Lately it seems as if everyone is jumping onto the artificial intelligence bandwagon. Everyone, from ride-sharing service Uber to Amazon’s logistics branch, is banking on AI being the next frontier in technological innovation, and are investing heavily in the industry.

    That’s likely truest in Asia, where the manufacturing engine which drove China’s growth is now turning its focus to plumbing the AI mine for gold.

    Despite Asia’s relatively low overall investment in AI, the industry is set to grow. Fifty percent of respondents in KPMG’s AI report said their companies had plans to invest in AI or robotic technology.

    Investment in AI is set to drive venture capital investment in China in 2017. Tak Lo, of Hong Kong’s Zeroth, notes there are more mentions of AI in Chinese research papers than there are in the US.

    China, Korea and Japan collectively account for nearly half the planet’s shipments of articulated robots in the world.

     

 

Artificial Intelligence – Research Areas

 

 

 

 

 

 
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