learning preferences

Cambridge library installation gives readers control of their sensory space [Schoenbaum]

On 03/29/2019, in 1:1 / 1:World, A/V -- audio/visual, accessibility, architecture, attention, Daniel S. Christian, digital audio, digital learning, digital video, education technology, emerging technologies, engagement / engaging students, ideas, innovation, K-12 related, learner profiles, learning, learning ecosystem, learning hubs, learning preferences, learning spaces, library / librarians, love of learning, more choice more control, multimedia, music, personalized/customized learning, platforms, productivity / tips and tricks, special needs, student-related, teachers, teaching & learning, technology (general), tools, United States, user experience (UX), virtual reality / worlds / learning, vision, XR - extended reality, youth, by Daniel Christian

Cambridge library installation gives readers control of their sensory space — from cambridge.wickedlocal.com by Hannah Schoenbaum

Excerpts:

A luminous igloo-shaped structure in the front room of the Cambridge Public Library beckoned curious library visitors during the snowy first weekend of March, inviting them to explore a space engineered for everyone, yet uniquely their own.

Called “Alterspace” and developed by Harvard’s metaLAB and Library Innovation Lab, this experiment in adaptive architecture granted the individual control over the sensory elements in his or her space. A user enters the LED-illuminated dome to find headphones, chairs and an iPad on a library cart, which displays six modes: Relax, Read, Meditate, Focus, Create and W3!Rd.

From the cool blues and greens of Relax mode to a rainbow overload of excitement in the W3!Rd mode, Alterspace is engineered to transform its lights, sounds and colors into the ideal environment for a particular action.

From DSC:
This brings me back to the question/reflection…in the future, will students using VR headsets be able to study by a brook? An ocean? In a very quiet library (i.e., the headset would come with solid noise cancellation capabilities build into it)? This type of room/capability would really be helpful for our daughter…who is easily distracted and doesn’t like noise.

Using arts education to help other lessons stick [Klass]

On 03/07/2019, in art, creativity, education, K-12 related, learning, learning ecosystem, learning preferences, liberal arts, love of learning, Media/film, multimedia, pedagogy, play, story, storytelling, student-related, teachers, teaching & learning, youth, by Daniel Christian

Using arts education to help other lessons stick — from nytimes.com by Perri Klass
The arts can be a source of joy in a child’s day, and also come in handy for memorizing times tables.

Excerpts:

Arts education in schools has introduced many children to great painters and great music, and helped them through their first dance steps or tentative musical endeavors. It can serve as a bright spot in the schoolchild’s day or week, a class that brings in beauty, color and joy, and which is not about testing.

These subjects are often under threat either from budget cuts or from the inexorable demands of academic testing and “accountability,” but insights from neuroscience suggest that arts education can play additional important roles in how children learn.
…
Arts education encompasses many disciplines: “I’m talking about everything from music, drama, dance, design, visual arts,” Dr. Sowden said. And the goal goes beyond the specific subjects, he said: “You’re looking for opportunities in the arts education context to encourage children to ask questions, to use their imaginations, but also to approach their work in a systematic, disciplined way.”

For a next gen learning platform: A Netflix-like interface to check out potential functionalities / educationally-related “apps” [Christian]

On 02/12/2019, in 1:1 / 1:World, 21st century, 24x7x365 access, A/V -- audio/visual, adult learning, algorithms, career development, cloud-based computing / apps / other cloud-related, CMS/LMS, colleges, communities of practice, community colleges, consortiums, Content aggregration, content development, content repositories, corporate / business world, corporate universities / corporate training, cost of getting a degree, credentialing, Daniel S. Christian, digital learning, disruption, distance education, education, education technology, elearning, emerging technologies, future, future of higher education, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, internet, K-12 related, Law Schools, learning, Learning Agents, learning ecosystem, learning from the living [class] room, learning hubs, learning preferences, learning spaces, library / librarians, Lifelong learning, love of learning, MBA, Media/film, Microlearning, MOOCs -- Massive Open Online Courses, more choice more control, multimedia, Natural Language Processing (NLP), online learning, online media, online tutoring, personalized/customized learning, platforms, PLNs, professional development, smart classrooms, Smart/Connected TV, social learning / networks, society, staying relevant, streams of content, teaching & learning, Technologies for your home, technology (general), television, tools, training / L&D, transmedia, tvOS-based apps, user experience (UX), user interface design, vendors, videoconferencing, virtual field trips, virtual K-12 schools, virtual reality / worlds / learning, virtual tutoring, vision, Walmart of Education --> New Amazon.com of Higher Education, web-based collaboration, by Daniel Christian

From DSC:
In a next generation learning system, it would be sharp/beneficial to have a Netflix-like interface to check out potential functionalities that you could turn on and off (at will) — as one component of your learning ecosystem that could feature a setup located in your living room or office.

For example, put a Netflix-like interface to the apps out at eduappcenter.com (i.e., using a rolling interface at first, then going to a static page/listing of apps…again…similar to Netflix).

From DSC: If you think teaching and learning is easy, I dare you to try these 3 things!

On 02/04/2019, in accessibility, assessment, curriculum, Daniel S. Christian, K-12 related, learning, learning preferences, society, special needs, student-related, teachers, teaching & learning, Uncategorized, youth, by Daniel Christian

From DSC:
For anyone out there who thinks that teaching and learning is easy and who agrees with the uninformed saying that goes “Those who can’t do…teach”…might I recommend a few potential to-do’s for you to try out…?

Try teaching 30-35 students yourself for at least 4-6 weeks about a topic that you just found out that you’ll be teaching and one that you don’t know much about. (And see if you enjoy the process that some teachers sometimes have to go through…putting down the tracks right in front of the trains that are rapidly moving down the tracks right behind them.) Also, you must have at least one student in your class who requires an Individualized Education Program (IEP) as well as 4-5 students who constantly cause trouble and who don’t want to be in school at all.
.
Identify each student’s strengths, weaknesses, and learning preferences — and their Zone of Proximal Development — then customize the learning that each of your 30-35 learners receives (with the goal of keeping each student moving forward at their most appropriate pace, while staying encouraged and yet appropriately challenged).
.
Attend Individualized Education Program (IEP) meetings and work with other IEP team members to significantly contribute to the appropriate student’s (or students’) teaching and learning environment(s). For a real challenge, at least one of those students will be someone who is struggling, but is very much hanging in there — someone who is “right in the middle of the pack,” so to speak. (My guess is that if you did this, you would never think of teaching, nor teachers, nor other specialists in quite the same way again. My guess is that you would develop a whole new appreciation for how complex teaching and learning really is.)

Regarding that last item about at least one of your students requiring an IEP, here are some questions that might come up:

What specialized services are needed this year?
What do the teachers need to know about this student’s cognitive processing/executive functioning?
How has the student been doing with the specialized services and teaching and learning strategies that have been attempted since the last IEP meeting?
If their scores are going down, how are you going to address that issue (especially given limited resources)?
How is the student’s motivation level doing? Is attending school still a positive experience? Or are things starting to become negative and/or downright painful for the student? Are they starting to get bummed out about having to come to school?
How are they relating with and collaborating with other students? If poorly, how are you going to address that issue? How are you going to handle group-related projects (especially after reading all of those articles that assert which skills the workplace values these days)?
What do you do with grades and assessments? Do you treat the student differently and give them higher grades to keep them encouraged? But if you do that, will your school system back you up on that or will someone come down hard on you for doing that? Or, perhaps you will find yourself struggling internally — trying to figure out what grades are really for and wondering if they are helpful in the first place. In fact, you might find yourself wondering if grades aren’t really just a mechanism for ranking and comparing individuals, schools, and even entire school systems (which, as we know, impacts property values)?
What do grades really produce — game players or (lifelong) learners? It won’t surprise you to know that I would argue that the former is what gets “produced.” Grades don’t really produce as many learners as they do game-players (i.e., students who know the minimum amount of work that they need to do and still get that all important A).

So, as you can hopefully see here, learning is messy. It’s rarely black and white…there’s a lot of gray out there and a lot of things to consider. It’s not a one-size fits all. And teaching others well is certainly NOT easy to do!

RELEVANT IDEAS:

While I’m thinking about related ideas here…wouldn’t it be great if EVERY. SINGLE. STUDENT. could have their own IEP and their own TEAM of specialists — people who care about their learning?

What if each student could have their own cloud-based learner profile — a portion of which would be a series of VoiceThreads per student, per period of time (or per mastering a particular topic or area)? Such VoiceThreads could include multimedia-based comments, insights, and recommendations for how the student is doing and how they best learn. Through the years, those teams of people — people who care about that student’s learning — could help that student identify their:

strengths
weaknesses
passions/interests
their optimal learning strategies and preferences
potential careers

The students could periodically review such feedback.

For every single student, we could build a history of feedback, helpful suggestions,
and recommendations via audio, video, text, graphics, etc.

From DSC:
Not too long ago, I really enjoyed watching a program on PBS regarding America’s 100 most-loved books, entitled, “The Great American Read.”

Watch “The Grand Finale”

While that’s not the show I’m talking about, it got me to thinking of one similar to it — something educational, yet entertaining. But also, something more.

The program that came to my mind would be a program that’s focused on significant topics and issues within American society — offered up in a debate/presentation style format.

For example, you could have different individuals, groups, or organizations discuss the pros and cons of an issue or topic. The show would provide contact information for helpful resources, groups, organizations, legislators, etc. These contacts would be for learning more about a subject or getting involved with finding a solution for that problem.

For example, how about this for a potential topic: Grades or no grades?

What are the pros and cons of using an A-F grading system?
What are the benefits and issues/drawbacks with using grades?
How are we truly using grades Do we use them to rank and compare individuals, schools, school systems, communities? Do we use them to “weed people out” of a program?
With our current systems, what “product” do we get? Do we produce game-players or people who enjoy learning? (Apologies for some of my bias showing up here! But my son has become a major game-player and, likely, so did I at his age.)
How do grades jibe with Individualized Education Programs (IEPs)? On one hand…how do you keep someone moving forward, staying positive, and trying to keep learning/school enjoyable yet on the other hand, how do you have those grades mean something to those who obtain data to rank school systems, communities, colleges, programs, etc.?
How do grades impact one’s desire to learn throughout one’s lifetime?

…

Such debates could be watched by students and then they could have their own debates on subjects that they propose.

Or the show could have journalists debate college or high school teams. The format could sometimes involve professors and deans debating against researchers. Or practitioners/teachers debating against researchers/cognitive psychologists.

Such a show could be entertaining, yet highly applicable and educational. We would probably all learn something. And perhaps have our eyes opened up to a new perspective on an issue.

Or better yet, we might actually resolve some more issues and then move on to address other ones!

This type of functionality from Chegg will likely be a piece of a next gen learning platform

On 12/06/2018, in 21st century, adjunct faculty, algorithms, Artificial Intelligence / Machine Learning / Deep Learning, bots, colleges, community colleges, education technology, emerging technologies, faculty, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learner profiles, learning, Learning Agents, learning ecosystem, learning from the living [class] room, learning preferences, mathematics, online learning, personalized/customized learning, platforms, productivity / tips and tricks, Smart/Connected TV, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online, Technologies for your home, tools, universities, usability, user experience (UX), vendors, by Daniel Christian

The information below is from Heather Campbell at Chegg
(emphasis DSC)

Chegg Math Solver is an AI-driven tool to help the student understand math. It is more than just a calculator – it explains the approach to solving the problem. So, students won’t just copy the answer but understand and can solve similar problems at the same time. Most importantly,students can dig deeper into a problem and see why it’s solved that way. Chegg Math Solver.

In every subject, there are many key concepts and terms that are crucial for students to know and understand. Often it can be hard to determine what the most important concepts and terms are for a given subject, and even once you’ve identified them you still need to understand what they mean. To help you learn and understand these terms and concepts, we’ve provided thousands of definitions, written and compiled by Chegg experts. Chegg Definition.

From DSC:
I see this type of functionality as a piece of a next generation learning platform — a piece of the Living from the Living [Class] Room type of vision. Great work here by Chegg!

Likely, students will also be able to take pictures of their homework, submit it online, and have that image/problem analyzed for correctness and/or where things went wrong with it.

From DSC:
The picture below was posted in the item below from edutopia. What a powerful picture! And not just for art or drama teachers!

Does it not once again illustrate that we are different? The lenses that we view the world through are different. Our learners are different. Each of us comes to a learning experience with different backgrounds, emotions, knowledge…and different real-life experiences.

As the article mentions, we need to create safe and supportive learning environments, where the love of (or at least the enjoyment of) learning can thrive.

Getting creative with social and emotional learning (SEL) — from by Maurice Elias, Sara LaHayne
How to incorporate creative expression and movement in the classroom while building social and emotional learning skills.

Excerpt:

Being creative is an inherently vulnerable process. In order to authentically build SEL competencies through creative expression, teachers need to strive to create a safe space, provide time, and open doors for validation.

Creating a safe and supportive classroom environment
Providing time
Opening the doors for validation

Introducing several new ideas to provide personalized, customized learning experiences for all kinds of learners! [Christian]

On 11/06/2018, in 1:1 / 1:World, 21st century, 24x7x365 access, accessibility, adjunct faculty, algorithms, analytics, Artificial Intelligence / Machine Learning / Deep Learning, assistive technologies, attention, blended learning, bots, cloud-based computing / apps / other cloud-related, cognitive computing, colleges, community colleges, content development, Daniel S. Christian, digital learning, e-books, e-publishing related items (EPUB and more), e-readers, education, education technology, elearning, engagement / engaging students, face-to-face, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), hybrid learning, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, interaction design, interactivity, interface design, internet, K-12 related, Law Schools, learner profiles, learning, learning ecosystem, learning from the living [class] room, learning preferences, library / librarians, memory, more choice more control, personalized/customized learning, platforms, productivity / tips and tricks, reading, society, special needs, student-related, teachers, teaching & learning, technology (general), tools, traditional / tradition, training / L&D, universities, user experience (UX), user interface design, Using teams, vendors, vision, visualizing information, writing, youth, by Daniel Christian

From DSC:
I have often reflected on differentiation or what some call personalized learning and/or customized learning. How does a busy teacher, instructor, professor, or trainer achieve this, realistically?

It’s very difficult and time-consuming to do for sure. But it also requires a team of specialists to achieve such a holy grail of learning — as one person can’t know it all. That is, one educator doesn’t have the necessary time, skills, or knowledge to address so many different learning needs and levels!

Think of different cognitive capabilities — from students that have special learning needs and challenges to gifted students
Or learners that have different physical capabilities or restrictions
Or learners that have different backgrounds and/or levels of prior knowledge
Etc., etc., etc.

Educators and trainers have so many things on their plates that it’s very difficult to come up with _X_ lesson plans/agendas/personalized approaches, etc. On the other side of the table, how do students from a vast array of backgrounds and cognitive skill levels get the main points of a chapter or piece of text? How can they self-select the level of difficulty and/or start at a “basics” level and work one’s way up to harder/more detailed levels if they can cognitively handle that level of detail/complexity? Conversely, how do I as a learner get the boiled down version of a piece of text?

Well… just as with the flipped classroom approach, I’d like to suggest that we flip things a bit and enlist teams of specialists at the publishers to fulfill this need. Move things to the content creation end — not so much at the delivery end of things. Publishers’ teams could play a significant, hugely helpful role in providing customized learning to learners.

Some of the ways that this could happen:

Use an HTML like language when writing a textbook, such as:

<MainPoint> The text for the main point here. </MainPoint>

<SubPoint1>The text for the subpoint 1 here.</SubPoint1>

<DetailsSubPoint1>More detailed information for subpoint 1 here.</DetailsSubPoint1>

<SubPoint2>The text for the subpoint 2 here.</SubPoint2>

<DetailsSubPoint2>More detailed information for subpoint 2 here.</DetailsSubPoint2>

<SubPoint3>The text for the subpoint 3 here.</SubPoint3>

<DetailsSubPoint3>More detailed information for subpoint 3 here.</DetailsSubPoint1>

<SummaryOfMainPoints>A list of the main points that a learner should walk away with.</SummaryOfMainPoints>

<BasicsOfMainPoints>Here is a listing of the main points, but put in alternative words and more basic ways of expressing those main points. </BasicsOfMainPoints>

<Conclusion> The text for the concluding comments here.</Conclusion>

<BasicsOfMainPoints> could be called <AlternativeExplanations>
Bottom line: This tag would be to put things forth using very straightforward terms.

Another tag would be to address how this topic/chapter is relevant:
<RealWorldApplication>This short paragraph should illustrate real world examples
of this particular topic. Why does this topic matter? How is it relevant?</RealWorldApplication>

On the students’ end, they could use an app that works with such tags to allow a learner to quickly see/review the different layers. That is:

Show me just the main points
Then add on the sub points
Then fill in the details
OR
Just give me the basics via an alternative ways of expressing these things. I won’t remember all the details. Put things using easy-to-understand wording/ideas.

It’s like the layers of a Microsoft HoloLens app of the human anatomy:

Or it’s like different layers of a chapter of a “textbook” — so a learner could quickly collapse/expand the text as needed:

This approach could be helpful at all kinds of learning levels. For example, it could be very helpful for law school students to obtain outlines for cases or for chapters of information. Similarly, it could be helpful for dental or medical school students to get the main points as well as detailed information.

Also, as Artificial Intelligence (AI) grows, the system could check a learner’s cloud-based learner profile to see their reading level or prior knowledge, any IEP’s on file, their learning preferences (audio, video, animations, etc.), etc. to further provide a personalized/customized learning experience.

To recap:

“Textbooks” continue to be created by teams of specialists, but add specialists with knowledge of students with special needs as well as for gifted students. For example, a team could have experts within the field of Special Education to help create one of the overlays/or filters/lenses — i.e., to reword things. If the text was talking about how to hit a backhand or a forehand, the alternative text layer could be summed up to say that tennis is a sport…and that a sport is something people play. On the other end of the spectrum, the text could dive deeply into the various grips a person could use to hit a forehand or backhand.
This puts the power of offering differentiation at the point of content creation/development (differentiation could also be provided for at the delivery end, but again, time and expertise are likely not going to be there)
Publishers create “overlays” or various layers that can be turned on or off by the learners
Can see whole chapters or can see main ideas, topic sentences, and/or details. Like HTML tags for web pages.
Can instantly collapse chapters to main ideas/outlines.

Reflections on “Are ‘smart’ classrooms the future?” [Johnston]

On 10/31/2018, in 21st century, A/V -- audio/visual, adjunct faculty, algorithms, Amazon, Apple, Artificial Intelligence / Machine Learning / Deep Learning, attention, blended learning, bots, Bring your own device (BYOD), cloud-based computing / apps / other cloud-related, cognitive computing, collaboration, colleges, communities of practice, community colleges, Daniel S. Christian, design, digital learning, distance education, education technology, emerging technologies, engagement / engaging students, experimentation, face-to-face, faculty, future, future of higher education, Google, higher education, human-computer interaction (HCI), hybrid learning, ideas, innovation, internet, IT in HE, Law Schools, learning, learning ecosystem, learning from the living [class] room, learning hubs, learning preferences, learning spaces, machine-to-machine communications, Microsoft, Mobile technologies, multimedia, Natural Language Processing (NLP), Near Field Communication (NFC), personalized/customized learning, platforms, productivity / tips and tricks, second screen apps, smart classrooms, Smart/Connected TV, social learning / networks, student teaching/teacher education, student-related, tablets, teachers, teaching & learning, technology (general), tools, trends, United States, usability, user experience (UX), Using teams, vendors, videoconferencing, virtual reality / worlds / learning, voice recognition / voice enabled interfaces, wearables, web-based collaboration, XR - extended reality, by Daniel Christian

Are ‘smart’ classrooms the future? — from campustechnology.com by Julie Johnston
Indiana University explores that question by bringing together tech partners and university leaders to share ideas on how to design classrooms that make better use of faculty and student time.

Excerpt:

To achieve these goals, we are investigating smart solutions that will:

Untether instructors from the room’s podium, allowing them control from anywhere in the room;
Streamline the start of class, including biometric login to the room’s technology, behind-the-scenes routing of course content to room displays, control of lights and automatic attendance taking;
Offer whiteboards that can be captured, routed to different displays in the room and saved for future viewing and editing;
Provide small-group collaboration displays and the ability to easily route content to and from these displays; and
Deliver these features through a simple, user-friendly and reliable room/technology interface.

…

Activities included collaborative brainstorming focusing on these questions:

What else can we do to create the classroom of the future?
What current technology exists to solve these problems?
What could be developed that doesn’t yet exist?
What’s next?

From DSC:
Though many peoples’ — including faculty members’ — eyes gloss over when we start talking about learning spaces and smart classrooms, it’s still an important topic. Personally, I’d rather be learning in an engaging, exciting learning environment that’s outfitted with a variety of tools (physically as well as digitally and virtually-based) that make sense for that community of learners. Also, faculty members have very limited time to get across campus and into the classroom and get things setup…the more things that can be automated in those setup situations the better!

I’ve long posted items re: machine-to-machine communications, voice recognition/voice-enabled interfaces, artificial intelligence, bots, algorithms, a variety of vendors and their products including Amazon’s Alexa / Apple’s Siri / Microsoft’s Cortana / and Google’s Home or Google Assistant, learning spaces, and smart classrooms, as I do think those things are components of our future learning ecosystems.

Reflections on “Inside Amazon’s artificial intelligence flywheel” [Levy]

On 10/19/2018, in 21st century, 24x7x365 access, A/V -- audio/visual, algorithms, Amazon, analytics, Artificial Intelligence / Machine Learning / Deep Learning, bots, career development, colleges, communities of practice, community colleges, competency-based learning/education, computer science, Content aggregration, content development, content repositories, corporate / business world, cost of getting a degree, dangers of the status quo, Daniel S. Christian, data mining, digital learning, disruption, distance education, e-books, e-publishing related items (EPUB and more), e-readers, education, education reform, education technology, educational games / serious games, elearning, emerging technologies, engagement / engaging students, entrepreneurship, experimentation, future, future of higher education, game-changing environment, generational differences, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, interactivity, internet, K-12 related, Law Schools, learner profiles, learning, Learning Agents, learning ecosystem, learning from the living [class] room, learning hubs, learning preferences, learning spaces, library / librarians, Lifelong learning, Microlearning, Mobile learning, MOOCs -- Massive Open Online Courses, more choice more control, multimedia, Natural Language Processing (NLP), new business models, online learning, online media, online tutoring, personalized/customized learning, platforms, PLNs, reinvent, second screen apps, social learning / networks, society, staying relevant, streams of content, student-related, surviving, teaching online, Technologies for your home, tools, training / L&D, trends, United States, universities, usability, user experience (UX), vision, voice recognition / voice enabled interfaces, Walmart of Education --> New Amazon.com of Higher Education, workplace, by Daniel Christian

Inside Amazon’s artificial intelligence flywheel — from wired.com by Steven Levy
How deep learning came to power Alexa, Amazon Web Services, and nearly every other division of the company.

Excerpt (emphasis DSC):

Amazon loves to use the word flywheel to describe how various parts of its massive business work as a single perpetual motion machine. It now has a powerful AI flywheel, where machine-learning innovations in one part of the company fuel the efforts of other teams, who in turn can build products or offer services to affect other groups, or even the company at large. Offering its machine-learning platforms to outsiders as a paid service makes the effort itself profitable—and in certain cases scoops up yet more data to level up the technology even more.

It took a lot of six-pagers to transform Amazon from a deep-learning wannabe into a formidable power. The results of this transformation can be seen throughout the company—including in a recommendations system that now runs on a totally new machine-learning infrastructure. Amazon is smarter in suggesting what you should read next, what items you should add to your shopping list, and what movie you might want to watch tonight. And this year Thirumalai started a new job, heading Amazon search, where he intends to use deep learning in every aspect of the service.

“If you asked me seven or eight years ago how big a force Amazon was in AI, I would have said, ‘They aren’t,’” says Pedro Domingos, a top computer science professor at the University of Washington. “But they have really come on aggressively. Now they are becoming a force.”

Maybe the force.

From DSC:
When will we begin to see more mainstream recommendation engines for learning-based materials? With the demand for people to reinvent themselves, such a next generation learning platform can’t come soon enough!

Turning over control to learners to create/enhance their own web-based learner profiles; and allowing people to say who can access their learning profiles.
AI-based recommendation engines to help people identify curated, effective digital playlists for what they want to learn about.
Voice-driven interfaces.
Matching employees to employers.
Matching one’s learning preferences (not styles) with the content being presented as one piece of a personalized learning experience.
From cradle to grave. Lifelong learning.
Multimedia-based, interactive content.
Asynchronously and synchronously connecting with others learning about the same content.
Online-based tutoring/assistance; remote assistance.
Reinvent. Staying relevant. Surviving.
Competency-based learning.

We’re about to embark on a period in American history where career reinvention will be critical, perhaps more so than it’s ever been before. In the next decade, as many as 50 million American workers—a third of the total—will need to change careers, according to McKinsey Global Institute. Automation, in the form of AI (artificial intelligence) and RPA (robotic process automation), is the primary driver. McKinsey observes: “There are few precedents in which societies have successfully retrained such large numbers of people.”

Bill Triant and Ryan Craig

Also relevant/see:

Online education’s expansion continues in higher ed with a focus on tech skills — from educationdive.com by James Paterson

Dive Brief:

Online learning continues to expand in higher ed with the addition of several online master’s degrees and a new for-profit college that offers a hybrid of vocational training and liberal arts curriculum online.
Inside Higher Ed reported the nonprofit learning provider edX is offering nine master’s degrees through five U.S. universities — the Georgia Institute of Technology, the University of Texas at Austin, Indiana University, Arizona State University and the University of California, San Diego. The programs include cybersecurity, data science, analytics, computer science and marketing, and they cost from around $10,000 to $22,000. Most offer stackable certificates, helping students who change their educational trajectory.
Former Harvard University Dean of Social Science Stephen Kosslyn, meanwhile, will open Foundry College in January. The for-profit, two-year program targets adult learners who want to upskill, and it includes training in soft skills such as critical thinking and problem solving. Students will pay about $1,000 per course, though the college is waiving tuition for its first cohort.

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