China’s New Frontiers in Dystopian Tech — from theatlantic.com by Rene Chun
Facial-recognition technologies are proliferating, from airports to bathrooms.

Excerpt:

China is rife with face-scanning technology worthy of Black Mirror. Don’t even think about jaywalking in Jinan, the capital of Shandong province. Last year, traffic-management authorities there started using facial recognition to crack down. When a camera mounted above one of 50 of the city’s busiest intersections detects a jaywalker, it snaps several photos and records a video of the violation. The photos appear on an overhead screen so the offender can see that he or she has been busted, then are cross-checked with the images in a regional police database. Within 20 minutes, snippets of the perp’s ID number and home address are displayed on the crosswalk screen. The offender can choose among three options: a 20-yuan fine (about $3), a half-hour course in traffic rules, or 20 minutes spent assisting police in controlling traffic. Police have also been known to post names and photos of jaywalkers on social media.

The technology’s veneer of convenience conceals a dark truth: Quietly and very rapidly, facial recognition has enabled China to become the world’s most advanced surveillance state. A hugely ambitious new government program called the “social credit system” aims to compile unprecedented data sets, including everything from bank-account numbers to court records to internet-search histories, for all Chinese citizens. Based on this information, each person could be assigned a numerical score, to which points might be added for good behavior like winning a community award, and deducted for bad actions like failure to pay a traffic fine. The goal of the program, as stated in government documents, is to “allow the trustworthy to roam everywhere under heaven while making it hard for the discredited to take a single step.”

 

 

 

 

From DSC:
After seeing the article entitled, “Scientists Are Turning Alexa into an Automated Lab Helper,” I began to wonder…might Alexa be a tool to periodically schedule & provide practice tests & distributed practice on content? In the future, will there be “learning bots” that a learner can employ to do such self-testing and/or distributed practice?

 

 

From page 45 of the PDF available here:

 

Might Alexa be a tool to periodically schedule/provide practice tests & distributed practice on content?

 

 

 

Scientists Are Turning Alexa into an Automated Lab Helper — from technologyreview.com by Jamie Condliffe
Amazon’s voice-activated assistant follows a rich tradition of researchers using consumer tech in unintended ways to further their work.

Excerpt:

Alexa, what’s the next step in my titration?

Probably not the first question you ask your smart assistant in the morning, but potentially the kind of query that scientists may soon be leveling at Amazon’s AI helper. Chemical & Engineering News reports that software developer James Rhodes—whose wife, DeLacy Rhodes, is a microbiologist—has created a skill for Alexa called Helix that lends a helping hand around the laboratory.

It makes sense. While most people might ask Alexa to check the news headlines, play music, or set a timer because our hands are a mess from cooking, scientists could look up melting points, pose simple calculations, or ask for an experimental procedure to be read aloud while their hands are gloved and in use.

For now, Helix is still a proof-of-concept. But you can sign up to try an early working version, and Rhodes has plans to extend its abilities…

 

Also see:

Helix

 

 

Personalized Learning Meets AI With Watson Classroom

Personalized Learning Meets AI With Watson Classroom — from gettingsmart.com by Erin Gohl

Excerpt (emphasis DSC):

Teaching is truly a Herculean challenge. Even the very best teachers can keep only so many of these insights in their heads and make only so many connections between expectations and circumstances. They can be aware of only a fraction of the research on best practices. They have only so much time to collaborate and communicate with the other adults in a particular student’s life to share information and insights. To be the best of themselves, teachers need to have access to a warehouse of information, a research assistant to mine best practices, note takers to gather and record information on each student, a statistician to gauge effective practices, and someone to collaborate with to distill the next best step with each student. In recent years, a plethora of vendors have developed software solutions that promise to simplify this process and give schools and teachers the answers to understand and address the individual needs of each student. One of the most promising, which I recently had a chance to learn about, is IBM’s Watson Classroom.

IBM is clear about what makes Watson different than existing solutions. First of all, it is a cognitive partner; not a solution. Secondly, it does not require proprietary or additional assessments, curriculum, or content. It uses whatever a district has in place. But it goes beyond the performance of tiering difficulty, pace, and reading level that is now standard fare for the solutions promising individualized, adaptive and personalized learning. Watson takes the stew of data from existing systems (including assessments, attendance records, available accommodations), adds the ability to infer meaning from written reports, and is able to connect the quality of the result to the approach that was taken. And then adjust the next recommendation based on what was learned. It is artificial intelligence (AI) brought to education that goes far beyond the adaptive learning technologies of today.

Watson Classroom is currently being piloted in 12 school districts across the country. In those classrooms, Watson Classroom is utilizing cutting-edge computing power to give teachers a full range of support to be the best versions of themselves. Watson is facilitating the kind of education the great teachers strive for every day–one where learning is truly personalized for each and every student. Bringing the power of big data to the interactions between students and teachers can help assure that every student reaches beyond our expectations to achieve their full potential.

 

 

 

Learn with Google AI: Making ML education available to everyone — from blog.google

Excerpt:

To help everyone understand how AI can solve challenging problems, we’ve created a resource called Learn with Google AI. This site provides ways to learn about core ML concepts, develop and hone your ML skills, and apply ML to real-world problems. From deep learning experts looking for advanced tutorials and materials on TensorFlow, to “curious cats” who want to take their first steps with AI, anyone looking for educational content from ML experts at Google can find it here.

Learn with Google AI also features a new, free course called Machine Learning Crash Course (MLCC). The course provides exercises, interactive visualizations, and instructional videos that anyone can use to learn and practice ML concepts.

 

 

7 Ways Chatbots and AI are Disrupting HR — from chatbotsmagazine.com
Enterprises are embracing AI for automating human resources

Excerpt:

Chatbots and AI have become household names and enterprises are taking notice. According to a recent Forrester survey, roughly “85% of customer interactions within an enterprise will be with software robots in five years’ time” and “87% of CEOs are looking to expand their AI workforce” using AI bots.

In an effort to drive increased labor efficiencies, reduce costs, and deliver better customer/employee experiences enterprises are quickly introducing AI, machine learning, and natural language understanding as core elements of their digital transformation strategy in 2018.

Human resources (HR) is one area ripe for intelligent automation within an enterprise. AI-powered bots for HR are able to streamline and personalize the HR process across seasonal, temporary, part-time, and full-time employees.


There are 7 ways in which enterprises can use HR bots to drive increased labors efficiencies, reduced costs, and better employee experiences:

  1. Recruitment
  2. Onboarding
  3. Company Policy FAQs
  4. Employee Training
  5. Common Questions
  6. Benefits Enrollment
  7. Annual Self-Assessment/Reviews

 

From DSC:
Again, this article paint a bit too rosy of a picture for me re: the use of AI and HR, especially in regards to recruiting employees.

 

 

 

Implementation of AI into eLearning. Interview with Christopher Pappas — from joomlalms.com by Darya Tarliuk

Excerpt:

Every day we hear more and more about the impact that Artificial Intelligence gains in every sphere of our life. In order to discover how AI implementation is going to change the eLearning we decided to ask Christopher Pappas to share his views and find out what he thinks about it. Christopher is an experienced eLearning specialist and the Founder of the eLearning Industry’s Network.


How to get ready preparing course materials now, while considering the future impact of AI?
Christopher: Regardless of whether you plan to adopt an AI system as soon as they’re available to the mass market or you opt to hold off (and let others work out the glitches), infrastructure is key. You can prepare your course materials now by developing course catalogs, microlearning online training repositories, and personalized online training paths that fall into the AI framework. For example, the AI system can easily recommend existing resources based on a learners’ assessment scores or job duties. All of the building blocks are in place, allowing the system to focus on content delivery and data analysis.

 

 

 

Can You Trust Intelligent Virtual Assistants? — from nojitter.com by Gary Audin
From malicious hackers to accidental voice recordings, data processed through virtual assistants may open you to security and privacy risks.

Excerpt:

Did you know that with such digital assistants your voice data is sent to the cloud or another remote location for processing? Is it safe to talk in front of your TV remote? Are you putting your business data at risk of being compromised by asking Alexa to start your meeting?

 


 

 

 

Thanks, Robots! Now These Four Non-Tech Job Skills Are In Demand — from fastcompany.com by Christian Madsbjerg
The more we rely on AI and machine learning, the more work we need social scientists and humanities experts to do.

Excerpt:

Automation isn’t a simple struggle between people and technology, with the two sides competing for jobs. The more we rely on robots, artificial intelligence (AI), and machine learning, the clearer it’s become just how much we need social scientists and humanities experts–not the reverse.

These four skills in particular are all unique to us humans, and will arguably rise in value in the coming years, as more and more companies realize they need the best of both worlds to unleash the potential from both humans and machines.

 

 

 

 

 

From DSC:
Here’s a quote that has been excerpted from the announcement below…and it’s the type of service that will be offered in our future learning ecosystems — our next generation learning platforms:

 

Career Insight™ enables prospective students to identify programs of study which can help them land the careers they want: Career Insight™ describes labor market opportunities associated with programs of study to prospective students. The recommendation engine also matches prospective students to programs based on specific career interests.

 

But in addition to our future learning platforms pointing new/prospective students to physical campuses, the recommendation engines will also provide immediate access to digital playlists for the prospective students/learners to pursue from their living rooms (or as they are out and about…i.e., mobile access).

 

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

 

 

Artificial intelligence working with enormous databases to build/update recommendation engines…yup, I could see that. Lifelong learning. Helping people know what to reinvent themselves to.

 

 


 

Career Insight™ Lets Prospective Students Connect Academic Program Choices to Career Goals — from burning-glass.com; also from Hadley Dreibelbis from Finn Partners
New Burning Glass Technologies Product Brings Job Data into Enrollment Decisions

BOSTON—Burning Glass Technologies announces the launch of Career Insight™, the first tool to show prospective students exactly how course enrollment will advance their careers.

Embedded in institutional sites and powered by Burning Glass’ unparalleled job market data, Career Insight’s personalized recommendation engine matches prospective students with programs based on their interests and goals. Career Insight will enable students to make smarter decisions, as well as improve conversion and retention rates for postsecondary institutions.

“A recent Gallup survey found that 58% of students say career outcomes are the most important reason to continue their education,” Burning Glass CEO Matthew Sigelman said. “That’s particularly true for the working learners who are now the norm on college campuses. Career Insight™ is a major step in making sure that colleges and universities can speak their language from the very first.”

Beginning an educational program with a firm, realistic career goal can help students persist in their studies. Currently only 29% of students in two-year colleges and 59% of those in four-year institutions complete their degrees within six years.

Career Insight™ enables prospective students to identify programs of study which can help them land the careers they want:

  • Career Insight™ describes labor market opportunities associated with programs of study to prospective students. The recommendation engine also matches prospective students to programs based on specific career interests.
  • The application provides insights to enrollment, advising, and marketing teams into what motivates prospective students, analysis that will guide the institution in improving program offerings and boosting conversion.
  • Enrollment advisors can also walk students through different career and program scenarios in real time.

Career Insight™ is driven by the Burning Glass database of a billion job postings and career histories, collected from more than 40,000 online sources daily. The database, powered by a proprietary analytic taxonomy, provides insight into what employers need much faster and in more detail than any other sources.

Career Insight™ is powered by the same rich dataset Burning Glass delivers to hundreds of leading corporate and education customers – from Microsoft and Accenture to Harvard University and Coursera.

More information is available at http://burning-glass.com/career-insight.

 


 

 

You can now build Amazon Music playlists using voice commands on Alexa devices — from theverge.com by Natt Garun

Excerpt:

Amazon today announced that Amazon Music listeners can now build playlists using voice commands via Alexa. For example, if they’re streaming music from an app or listening to the radio on an Alexa-enabled device, they can use voice commands to add the current song to a playlist, or start a new playlist from scratch.

 

From DSC:
I wonder how long it will be before we will be able to create and share learning-based playlists for accessing digitally-based resources…? Perhaps AI will be used to offer a set of playlists on any given topic…?

With the exponential pace of change that we’re starting to experience — plus the 1/2 lives of information shrinking — such features could come in handy.

 

 

 

 

 

The Implications of Gartner’s Top 10 Tech Trends of 2018 for Education — from gettingsmart.com by Jim Goodell, Liz Glowa and Brandt Redd

Excerpt:

In October, Gartner released a report with predictions about the top tech trends for business in 2018. Gartner uses the term the intelligent digital mesh to describe “the entwining of people, devices, content and services” that will create the “foundation for the next generation of digital business models and ecosystems.” These trends are classified within three categories.

  • Intelligent: How AI is seeping into virtually every technology and with a defined, well-scoped focus can allow more dynamic, flexible and potentially autonomous systems.
  • Digital: Blending the virtual and real worlds to create an immersive digitally enhanced and connected environment.
  • Mesh: The connections between an expanding set of people, business, devices, content and services to deliver digital outcomes.

What are the implications of these trends for education?
Education often falls behind the business world in realizing the potential of new technologies. There are however a few bright spots where the timing might be right for the tech trends in the business world to have a positive impact in education sooner rather than later.

The top 10 trends according to Gartner are analyzed below for their implications for education…

1) Artificial Intelligence Foundation
2) Intelligent Apps and Analytics
3) Intelligent Things

 

 

 

From DSC:
DC: Will Amazon get into delivering education/degrees? Is is working on a next generation learning platform that could highly disrupt the world of higher education? Hmmm…time will tell.

But Amazon has a way of getting into entirely new industries. From its roots as an online bookseller, it has branched off into numerous other arenas. It has the infrastructure, talent, and the deep pockets to bring about the next generation learning platform that I’ve been tracking for years. It is only one of a handful of companies that could pull this type of endeavor off.

And now, we see articles like these:


Amazon Snags a Higher Ed Superstar — from insidehighered.com by Doug Lederman
Candace Thille, a pioneer in the science of learning, takes a leave from Stanford to help the ambitious retailer better train its workers, with implications that could extend far beyond the company.

Excerpt:

A major force in the higher education technology and learning space has quietly begun working with a major corporate force in — well, in almost everything else.

Candace Thille, a pioneer in learning science and open educational delivery, has taken a leave of absence from Stanford University for a position at Amazon, the massive (and getting bigger by the day) retailer.

Thille’s title, as confirmed by an Amazon spokeswoman: director of learning science and engineering. In that capacity, the spokeswoman said, Thille will work “with our Global Learning Development Team to scale and innovate workplace learning at Amazon.”

No further details were forthcoming, and Thille herself said she was “taking time away” from Stanford to work on a project she was “not really at liberty to discuss.”

 

Amazon is quietly becoming its own university — from qz.com by Amy Wang

Excerpt:

Jeff Bezos’ Amazon empire—which recently dabbled in home security, opened artificial intelligence-powered grocery stores, and started planning a second headquarters (and manufactured a vicious national competition out of it)—has not been idle in 2018.

The e-commerce/retail/food/books/cloud-computing/etc company made another move this week that, while nowhere near as flashy as the above efforts, tells of curious things to come. Amazon has hired Candace Thille, a leader in learning science, cognitive science, and open education at Stanford University, to be “director of learning science and engineering.” A spokesperson told Inside Higher Ed that Thille will work “with our Global Learning Development Team to scale and innovate workplace learning at Amazon”; Thille herself said she is “not really at liberty to discuss” her new project.

What could Amazon want with a higher education expert? The company already has footholds in the learning market, running several educational resource platforms. But Thille is famous specifically for her data-driven work, conducted at Stanford and Carnegie Mellon University, on nontraditional ways of learning, teaching, and training—all of which are perfect, perhaps even necessary, for the education of employees.

 


From DSC:
It could just be that Amazon is simply building its own corporate university and will stay focused on developing its own employees and its own corporate learning platform/offerings — and/or perhaps license their new platform to other corporations.

But from my perspective, Amazon continues to work on pieces of a powerful puzzle, one that could eventually involve providing learning experiences to lifelong learners:

  • Personal assistants
  • Voice recognition / Natural Language Processing (NLP)
  • The development of “skills” at an incredible pace
  • Personalized recommendation engines
  • Cloud computing and more

If Alexa were to get integrated into a AI-based platform for personalized learning — one that features up-to-date recommendation engines that can identify and personalize/point out the relevant critical needs in the workplace for learners — better look out higher ed! Better look out if such a platform could interactively deliver (and assess) the bulk of the content that essentially does the heavy initial lifting of someone learning about a particular topic.

Amazon will be able to deliver a cloud-based platform, with cloud-based learner profiles and blockchain-based technologies, at a greatly reduced cost. Think about it. No physical footprints to build and maintain, no lawns to mow, no heating bills to pay, no coaches making $X million a year, etc.  AI-driven recommendations for digital playlists. Links to the most in demand jobs — accompanied by job descriptions, required skills & qualifications, and courses/modules to take in order to master those jobs.

Such a solution would still need professors, instructional designers, multimedia specialists, copyright experts, etc., but they’ll be able to deliver up-to-date content at greatly reduced costs. That’s my bet. And that’s why I now call this potential development The New Amazon.com of Higher Education.

[Microsoft — with their purchase of Linked In (who had previously
purchased Lynda.com) — is
another such potential contender.]

 

 

 
 

“Rise of the machines” — from January 2018 edition of InAVate magazine
AI is generating lots of buzz in other verticals, but what can AV learn from those? Tim Kridel reports.

 

 


From DSC:
Learning spaces are relevant as well in the discussion of AI and AV-related items.


 

Also in their January 2018 edition, see
an incredibly detailed project at the London Business School.

Excerpt:

A full-width frosted glass panel sits on the desk surface, above it fixed in the ceiling is a Wolfvision VZ-C12 visualiser. This means the teaching staff can write on the (wipeclean) surface and the text appears directly on two 94-in screens behind them, using Christie short-throw laser 4,000 lumens projectors. When the lecturer is finished or has filled up the screen with text, the image can be saved on the intranet or via USB. Simply wipe with a cloth and start again. Not only is the technology inventive, but it allows the teaching staff to remain in face-to-face contact with the students at all times, instead of students having to stare at the back of the lecturer’s head whilst they write.

 


 

Also relevant, see:

 


 

 


From DSC:
From an early age, we need to help our students learn how to learn. What tips, advice, and/or questions can we help our students get into the habit of asking themselves? Along these lines, the article below,”How Metacognition Boosts Learning,” provides some excellent questions. 

Speaking of questions…I’ll add some more, but of a different sort:

  • How can all educators do a better job of helping their students learn how to learn?
  • How can Instructional Designers and Instructional Technologists help out here? Librarians? Provosts? Deans? Department Chairs? Teachers? Trainers (in the corporate L&D space)?
  • How might technologies come into play here in terms of building more effective web-based learner profiles that can be fed into various platforms and/or into teachers’ game plans?

I appreciate Bill Knapp and his perspectives very much (see here and here; Bill is GRCC’s Executive Director of Distance Learning & Instructional Technologies). The last we got together, we wondered out loud:

  • Why don’t teachers, professors, school systems, administrations within in K-20 address this need/topic more directly…? (i.e., how can we best help our students learn how to learn?)
  • Should we provide a list of potentially helpful techniques, questions, tools, courses, modules, streams of content, or other resources on how to learn?
  • Should we be weaving these sorts of things into our pedagogies?
  • Are there tools — such as smartphone related apps — that can be of great service here? For example, are there apps for sending out reminders and/or motivational messages?

As Bill asserted, we need to help our students build self-efficacy and a mindset of how to learn. Then learners can pivot into new areas with much more confidence. I agree. In an era that continues to emphasize freelancing and entrepreneurship — plus dealing with a rapidly-changing workforce — people now need to be able to learn quickly and effectively. They need to have the self confidence to be able to pivot. So how can we best prepare our students for their futures?

Also, on a relevant but slightly different note (and I suppose is of the flavor of a Universal Design for Learning approach)…I think that “tests” given to special needs children — for example that might have to do with executive functioning, and/or identifying issues, and/or providing feedback as to how a particular learner might best absorb information — would be helpful for ALL students to take. If I realize that the way my brain learns best is to have aural and visual materials presented on any given topic, that is very useful information for me to realize — and the sooner the better!

 



How Metacognition Boosts Learning — from edutopia.org by Youki Terada
Students often lack the metacognitive skills they need to succeed, but they can develop these skills by addressing some simple questions.

Excerpt (emphasis DSC):

Strategies that target students’ metacognition—the ability to think about thinking—can close a gap that some students experience between how prepared they feel for a test and how prepared they actually are. In a new study, students in an introductory college statistics class who took a short online survey before each exam asking them to think about how they would prepare for it earned higher grades in the course than their peers—a third of a letter grade higher, on average. This low-cost intervention helped students gain insight into their study strategies, boosting their metacognitive skills and giving them tools to be more independent learners.

More recently, a team of psychologists and neuroscientists published a comprehensive analysis of 10 learning techniques commonly used by students. They discovered that one of the most popular techniques—rereading material and highlighting key points—is also one of the least effective because it leads students to develop a false sense of mastery. They review a passage and move on without realizing that they haven’t thoroughly understood and absorbed the material.

Metacognition helps students recognize the gap between being familiar with a topic and understanding it deeply. But weaker students often don’t have this metacognitive recognition—which leads to disappointment and can discourage them from trying harder the next time.

To promote students’ metacognition, middle and high school teachers can implement the following strategies. Elementary teachers can model or modify these strategies with their students to provide more scaffolding.

During class, students should ask themselves:

  • What are the main ideas of today’s lesson?
  • Was anything confusing or difficult?
  • If something isn’t making sense, what question should I ask the teacher?
  • Am I taking proper notes?
  • What can I do if I get stuck on a problem?

Before a test, students should ask themselves:

  • What will be on the test?
  • What areas do I struggle with or feel confused about?
  • How much time should I set aside to prepare for an upcoming test?
  • Do I have the necessary materials (books, school supplies, a computer and online access, etc.) and a quiet place to study, with no distractions?
  • What strategies will I use to study? Is it enough to simply read and review the material, or will I take practice tests, study with a friend, or write note cards?
  • What grade would I get if I were to take the test right now?

After a test, students should ask themselves:

  • What questions did I get wrong, and why did I get them wrong?
  • Were there any surprises during the test?
  • Was I well-prepared for the test?
  • What could I have done differently?
  • Am I receiving useful, specific feedback from my teacher to help me progress?

 



From DSC:
Below are a few resources more about metacognition and learning how to learn:

 

 

 

  • Students should be taught how to study. — from Daniel Willingham
    Excerpt:
    Rereading is a terribly ineffective strategy. The best strategy–by far–is to self-test–which is the 9th most popular strategy out of 11 in this study. Self-testing leads to better memory even compared to concept mapping (Karpicke & Blunt, 2011).

 

 

 

  • The Lesson You Never Got Taught in School: How to Learn! — from bigthink.com
    Excerpt:
    Have you ever wondered whether it is best to do your studying in large chunks or divide your studying over a period of time? Research has found that the optimal level of distribution of sessions for learning is 10-20% of the length of time that something needs to be remembered. So if you want to remember something for a year you should study at least every month, if you want to remember something for five years you should space your learning every six to twelve months. If you want to remember something for a week you should space your learning 12-24 hours apart. It does seem however that the distributed-practice effect may work best when processing information deeply – so for best results you might want to try a distributed practice and self-testing combo.There is however a major catch – do you ever find that the amount of studying you do massively increases before an exam? Most students fall in to the “procrastination scallop” – we are all guilty at one point of cramming all the knowledge in right before an exam, but the evidence is pretty conclusive that this is the worst way to study, certainly when it comes to remembering for the long term. What is unclear is whether cramming is so popular because students don’t understand the benefits of distributed practice or whether testing practices are to blame – probably a combination of both. One thing is for sure, if you take it upon yourself to space your learning over time you are pretty much guaranteed to see improvements.

 

 



Addendum on 1/22/18:

Using Metacognition to Promote Learning
IDEA Paper #63 | December 2016
By Barbara J. Millis

Excerpt:

Some Definitions of Metacognition
Metacognition, simplistically defined, can be described as “cognition about cognition” or “thinking about thinking” (Flavell, Miller & Miller, 2002, p. 175; Shamir, Metvarech, & Gida, 2009, p. 47; Veeman, Van Hout-Wolters, & Afflerbach, 2006, p. 5). However, because metacognition is multifaceted and multi-layered (Dunlosky & Metcalf, 2009, p. 1; Flavell, 1976; Hall, Danielewicz, & Ware , 2013, p. 149; Lovett, 2013, p. 20), more complex definitions are called for. Basically, metacognition must be viewed as an ongoing process that involves reflection and action. Metacognitive thinkers change both their understandings and their strategies. The clearest definitions of metacognition emphasize its nature as a process or cycle.

Several authors (Nilson, 2013, p. 9; Schraw, 2001; & Zimmerman, 1998; 2000; 2002) narrow this process down to three ongoing stages. The first stage, pre-planning, emphasizes the need for reflection on both one’s own thinking and the task at hand, including reflection on past strategies that might have succeeded or failed. Following this self-reflection, during planning, metacognitive thinkers develop and implement—put into action—a plan. In the third and final stage—post-planning adjustments/revisions—subsequent analysis following implementation leads to modifications, revised decisions, and new future plans. In an excellent summary, Wirth states that “metacognition requires students both to understand how they are learning and to develop the ability to make plans, to monitor progress and to make adjustments” (as cited in Jaschik, 2011, p. 2).

 

Conclusion: As we have seen, metacognition is a complex but valuable skill that can nurture students’ learning and their self-awareness of the learning process. It is best conceived as a three-step process that can occur through deliberately designed activities. Such activities can take place before, during, and after face-to-face lessons or through online learning. They can also be built around both multiple choice and essay examinations. Immersing students in these metacognitive activities—assuming there are opportunities for practice and feedback—can result in students who are reflective learners.

 

 

 

 

TV is (finally) an app: The goods, the bads and the uglies for learning — from thejournal.com by Cathie Norris, Elliot Soloway

Excerpts:

Television. TV. There’s an app for that. Finally! TV — that is, live shows such as the news, specials, documentaries (and reality shows, if you must) — is now just like Candy Crunch and Facebook. TV apps (e.g., DirecTV Now) are available on all devices — smartphones, tablets, laptops, Chromebooks. Accessing streams upon streams of videos is, literally, now just a tap away.

Plain and simple: readily accessible video can be a really valuable resource for learners and learning.

Not everything that needs to be learned is on video. Instruction will need to balance the use of video with the use of printed materials. That balance, of course, needs to take in cost and accessibility.

Now for the 800 pound gorilla in the room: Of course, that TV app could be a huge distraction in the classroom. The TV app has just piled yet another classroom management challenge onto a teacher’s back.

That said, it is early days for TV as an app. For example, HD (High Definition) TV demands high bandwidth — and we can experience stuttering/skipping at times. But, when 5G comes around in 2020, just two years from now, POOF, that stuttering/skipping will disappear. “5G will be as much as 1,000 times faster than 4G.”  Yes, POOF!

 

From DSC:
Learning via apps is here to stay. “TV” as apps is here to stay. But what’s being described here is but one piece of the learning ecosystem that will be built over the next 5-15 years and will likely be revolutionary in its global impact on how people learn and grow. There will be opportunities for social-based learning, project-based learning, and more — with digital video being a component of the ecosystem, but is and will be insufficient to completely move someone through all of the levels of Bloom’s Taxonomy.

I will continue to track this developing learning ecosystem, but voice-driven personal assistants are already here. Algorithm-based recommendations are already here. Real-time language translation is already here.  The convergence of the telephone/computer/television continues to move forward.  AI-based bots will only get better in the future. Tapping into streams of up-to-date content will continue to move forward. Blockchain will likely bring us into the age of cloud-based learner profiles. And on and on it goes.

We’ll still need teachers, professors, and trainers. But this vision WILL occur. It IS where things are heading. It’s only a matter of time.

 

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

 

 

 

 

 

DC: The next generation learning platform will likely offer us such virtual reality-enabled learning experiences such as this “flight simulator for teachers.”

Virtual reality simulates classroom environment for aspiring teachers — from phys.org by Charles Anzalone, University at Buffalo

Excerpt (emphasis DSC):

Two University at Buffalo education researchers have teamed up to create an interactive classroom environment in which state-of-the-art virtual reality simulates difficult student behavior, a training method its designers compare to a “flight simulator for teachers.”

The new program, already earning endorsements from teachers and administrators in an inner-city Buffalo school, ties into State University of New York Chancellor Nancy L. Zimpher’s call for innovative teaching experiences and “immersive” clinical experiences and teacher preparation.

The training simulator Lamb compared to a teacher flight simulator uses an emerging computer technology known as virtual reality. Becoming more popular and accessible commercially, virtual reality immerses the subject in what Lamb calls “three-dimensional environments in such a way where that environment is continuous around them.” An important characteristic of the best virtual reality environments is a convincing and powerful representation of the imaginary setting.

 

Also related/see:

 

  • TeachLive.org
    TLE TeachLivE™ is a mixed-reality classroom with simulated students that provides teachers the opportunity to develop their pedagogical practice in a safe environment that doesn’t place real students at risk.  This lab is currently the only one in the country using a mixed reality environment to prepare or retrain pre-service and in-service teachers. The use of TLE TeachLivE™ Lab has also been instrumental in developing transition skills for students with significant disabilities, providing immediate feedback through bug-in-ear technology to pre-service teachers, developing discrete trial skills in pre-service and in-service teachers, and preparing teachers in the use of STEM-related instructional strategies.

 

 

 

 

 

This start-up uses virtual reality to get your kids excited about learning chemistry — from Lora Kolodny and Erin Black

  • MEL Science raised $2.2 million in venture funding to bring virtual reality chemistry lessons to schools in the U.S.
  • Eighty-two percent of science teachers surveyed in the U.S. believe virtual reality content can help their students master their subjects.

 

This start-up uses virtual reality to get your kids excited about learning chemistry from CNBC.

 

 


From DSC:
It will be interesting to see all the “places” we will be able to go and interact within — all from the comfort of our living rooms! Next generation simulators should be something else for teaching/learning & training-related purposes!!!

The next gen learning platform will likely offer such virtual reality-enabled learning experiences, along with voice recognition/translation services and a slew of other technologies — such as AI, blockchain*, chatbots, data mining/analytics, web-based learner profiles, an online-based marketplace supported by the work of learning-based free agents, and others — running in the background. All of these elements will work to offer us personalized, up-to-date learning experiences — helping each of us stay relevant in the marketplace as well as simply enabling us to enjoy learning about new things.

But the potentially disruptive piece of all of this is that this next generation learning platform could create an Amazon.com of what we now refer to as “higher education.”  It could just as easily serve as a platform for offering learning experiences for learners in K-12 as well as the corporate learning & development space.

 

I’m tracking these developments at:
http://danielschristian.com/thelivingclassroom/

 

 

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

 


*  Also see:


Blockchain, Bitcoin and the Tokenization of Learning — from edsurge.com by Sydney Johnson

Excerpt:

In 2014, Kings College in New York became the first university in the U.S. to accept Bitcoin for tuition payments, a move that seemed more of a PR stunt than the start of some new movement. Much has changed since then, including the value of Bitcoin itself, which skyrocketed to more than $19,000 earlier this month, catapulting cryptocurrencies into the mainstream.

A handful of other universities (and even preschools) now accept Bitcoin for tuition, but that’s hardly the extent of how blockchains and tokens are weaving their way into education: Educators and edtech entrepreneurs are now testing out everything from issuing degrees on the blockchain to paying people in cryptocurrency for their teaching.

 

 

 

 

AI: Embracing the promises and realities — from the Allegis Group

Excerpts:

What will that future be? When it comes to jobs, the tea leaves are indecipherable as analysts grapple with emerging technologies, new fields of work, and skills that have yet to be conceived. The only certainty is
that jobs will change. Consider the conflicting predictions put forth by the analyst community:

  • According to the Organization of Economic Cooperation and Development, only 5-10% of labor would be displaced by intelligent automation, and new job creation will offset losses.  (Inserted comment from DSC: Hmmm. ONLY 5-10%!? What?! That’s huge! And don’t count on the majority of those people becoming experts in robotics, algorithms, big data, AI, etc.)
  • The World Economic Forum27 said in 2016 that 60% of children entering school today will work in jobs that do not yet exist.
  • 47% of all American job functions could be automated within 20 years, according to the Oxford Martin School on Economics in a 2013 report.
  • In 2016, a KPMG study estimated that 100 million global knowledge workers could be affected by robotic process automation by 2025.

Despite the conflicting views, most analysts agree on one thing: big change is coming. Venture Capitalist David Vandergrift has some words of advice: “Anyone not planning to retire in the next 20 years should be paying pretty close attention to what’s going on in the realm of AI. The supplanting (of jobs) will not happen overnight: the trend over the next couple of decades is going to be towards more and more automation.”30

While analysts may not agree on the timing of AI’s development in the economy, many companies are already seeing its impact on key areas of talent and business strategy. AI is replacing jobs, changing traditional roles, applying pressure on knowledge workers, creating new fields of work, and raising the demand for certain skills.

 

 

 

 

 

The emphasis on learning is a key change from previous decades and rounds of automation. Advanced AI is, or will soon be, capable of displacing a very wide range of labor, far beyond the repetitive, low-skill functions traditionally thought to be at risk from automation. In many cases, the pressure on knowledge workers has already begun.

 

 

 

 

Regardless of industry, however, AI is a real challenge to today’s way of thinking about work, value, and talent scarcity. AI will expand and eventually force many human knowledge workers to reinvent their roles to address issues that machines cannot process. At the same time, AI will create a new demand for skills to guide its growth and development. These emerging areas of expertise will likely be technical or knowledge-intensive fields. In the near term, the competition for workers in these areas may change how companies focus their talent strategies.

 

 

 

 

WE ARE NOT READY FOR THIS! Per Forrester Research: In US, a net loss of 7% of jobs to automation — *in 2018*!

Forrester predicts that AI-enabled automation will eliminate 9% of US jobs in 2018 — from forbes.com by Gil Press

Excerpt (emphasis DSC):

A new Forrester Research report, Predictions 2018: Automation Alters The Global Workforce, outlines 10 predictions about the impact of AI and automation on jobs, work processes and tasks, business success and failure, and software development, cybersecurity, and regulatory compliance.

We will see a surge in white-collar automation, half a million new digital workers (bots) in the US, and a shift from manual to automated IT and data management. “Companies that master automation will dominate their industries,” Forrester says. Here’s my summary of what Forrester predicts will be the impact of automation in 2018:

Automation will eliminate 9% of US jobs but will create 2% more.
In 2018, 9% of US jobs will be lost to automation, partly offset by a 2% growth in jobs supporting the “automation economy.” Specifically impacted will be back-office and administrative, sales, and call center employees. A wide range of technologies, from robotic process automation and AI to customer self-service and physical robots will impact hiring and staffing strategies as well as create a need for new skills.

 

Your next entry-level compliance staffer will be a robot.

 

From DSC:

Are we ready for a net loss of 7% of jobs in our workforce due to automation — *next year*? Last I checked, it was November 2017, and 2018 will be here before we know it.

 

***Are we ready for this?! ***

 

AS OF TODAY, can we reinvent ourselves fast enough given our current educational systems, offerings, infrastructures, and methods of learning?

 

My answer: No, we can’t. But we need to be able to — and very soon!

 

 

There are all kinds of major issues and ramifications when people lose their jobs — especially this many people and jobs! The ripple effects will be enormous and very negative unless we introduce new ways for how people can learn new things — and quickly!

That’s why I’m big on trying to establish a next generation learning platform, such as the one that I’ve been tracking and proposing out at Learning from the Living [Class] Room. It’s meant to provide societies around the globe with a powerful, next generation learning platform — one that can help people reinvent themselves quickly, cost-effectively, conveniently, & consistently! It involves providing, relevant, up-to-date streams of content that people can subscribe to — and drop at any time. It involves working in conjunction with subject matter experts who work with teams of specialists, backed up by suites of powerful technologies. It involves learning with others, at any time, from any place, at any pace. It involves more choice, more control. It involves blockchain-based technologies to feed cloud-based learner profiles and more.

But likely, bringing such a vision to fruition will require a significant amount of collaboration. In my mind, some of the organizations that should be at the table here include:

  • Some of the largest players in the tech world, such as Amazon, Google, Apple, IBM, Microsoft, and/or Facebook
  • Some of the vendors that already operate within the higher ed space — such as Salesforce.com, Ellucian, and/or Blackboard
  • Some of the most innovative institutions of higher education — including their faculty members, instructional technologists, instructional designers, members of administration, librarians, A/V specialists, and more
  • The U.S. Federal Government — for additional funding and the development of policies to make this vision a reality

 

 

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

 

 
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