What if smart TVs’ new killer app was a next-generation learning-related platform? [Christian]

TV makers are looking beyond streaming to stay relevant — from protocol.com by Janko Roettgers and Nick Statt

A smart TV's main menu listing what's available -- application wise

Excerpts:

The search for TV’s next killer app
TV makers have some reason to celebrate these days: Streaming has officially surpassed cable and broadcast as the most popular form of TV consumption; smart TVs are increasingly replacing external streaming devices; and the makers of these TVs have largely figured out how to turn those one-time purchases into recurring revenue streams, thanks to ad-supported services.

What TV makers need is a new killer app. Consumer electronics companies have for some time toyed with the idea of using TV for all kinds of additional purposes, including gaming, smart home functionality and fitness. Ad-supported video took priority over those use cases over the past few years, but now, TV brands need new ways to differentiate their devices.

Turning the TV into the most useful screen in the house holds a lot of promise for the industry. To truly embrace this trend, TV makers might have to take some bold bets and be willing to push the envelope on what’s possible in the living room.

 


From DSC:
What if smart TVs’ new killer app was a next-generation learning-related platform? Could smart TVs deliver more blended/hybrid learning? Hyflex-based learning?
.

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

.

Or what if smart TVs had to do with delivering telehealth-based apps? Or telelegal/virtual courts-based apps?


 

From DSC:
Below are some reflections based on an article entitled, Understanding learning transfer through Archwell Academies. It’s from chieflearningofficer.com and was written by Erin Donovan and Keith Keating.

Excerpt:

To capitalize on learning transfer and extend learning beyond traditional training periods, practitioners have established capability academies. According to Josh Bersin, capability academies are the evolution of traditional training and self-directed learning. Bersin posited:

Capability academies are business-driven, collaborative learning environments that facilitate learning retention. . . . Going beyond rote lessons, capability academies help companies prepare for transformation by helping employees develop complex skills and providing guidance on how to apply them in the context of the business.

The core concept of capability academies rests on the importance of collaboration between the trainers and the business. The intention is to provide learners with practice of conceptual understanding and comparative scenarios in the context and environment where they will ultimately apply their skills. Capability academies focus on providing training distinctly aligning with learners’ job responsibilities.

From DSC:
First of all, I have a lot of respect for the people that this article mentions, such as Josh Bersin and Will Thalheimer. So this article caught me eye.

It seems to me that the corporate world is asking for institutions of traditional higher education to deliver such “capability academies.” But that makes me wonder, could this even be done? Surely there aren’t enough resources to develop/deliver/maintain so many environments and contexts, right? It took Archwell, a global mortgage services outsourcing provider, an entire year to systematically design and develop such customized capability academies — just for their clients’ businesses. 

The article goes on:

The core concept of capability academies rests on the importance of collaboration between the trainers and the business. The intention is to provide learners with practice of conceptual understanding and comparative scenarios in the context and environment where they will ultimately apply their skills. Capability academies focus on providing training distinctly aligning with learners’ job responsibilities.

Context. Skills. Acquiring knowledge. Being able to apply that knowledge in a particular environment. Wow…that’s a lot to ask institutions of traditional higher education to deliver. And given the current setup, it’s simply not going to happen. Faculty members’ plates are already jammed-packed. They don’t have time to go out and collaborate with each business in their area (even with more sabbaticals…I don’t see it happening).

I’m sure many at community colleges could chime in here and would likely say that that’s exactly what they are doing. But I highly doubt that they are constantly delivering this type of customized offering for all of the businesses in each major city in their area.

I can hear those in corporate training programs saying that that’s what they are doing for their own business. But they don’t provide it for other businesses in their area.

So, what would it take for higher education to develop/offer such “capability academies?” Is it even possible?

We continue to struggle to design the ultimate learning ecosystem(s) — one(s) whereby we can provide personalized learning experiences for each person and business. We need to continue to practice design thinking here, as we seek to provide valuable, relevant/up-to-date, and cradle-to-grave learning experiences.

The problem is, the pace of change has changed. Institutions of traditional higher education can’t keep up. And frankly, neither can most businesses out there.

I keep wondering if a next-generation learning platform — backed up by AI but delivered with human expertise — will play a role in the future. The platform would offer products and services from teams of individuals — and/or from communities of practices — who can provide customized, up-to-date training materials and the learning transfers that this article discusses.

But such a platform would have to offer socially-based learning experiences and opportunities for accountability. Specific learning goals and learning cohorts help keep one on track and moving forward.

 


Ways that artificial intelligence is revolutionizing education — from thetechedvocate.org by Matthew Lynch

Excerpt:

I was speaking with an aging schoolteacher who believes that AI is destroying education. They challenged me to come up with 26 ways that artificial intelligence (AI) is improving education, and instead, I came up with. They’re right here.


AI Startup Speeds Healthcare Innovations To Save Lives — from by Geri Stengel

Excerpt:

This project was a light-bulb moment for her. The financial industry had Bloomberg to analyze content and data to help investors uncover opportunities and minimize risk, and pharmaceutical, biotech, and medical device companies needed something similar.



 

‘Hologram patients’ and mixed reality headsets help train UK medical students in world first — from uk.news.yahoo.com

Excerpts:

Medical students in Cambridge, England are experiencing a new way of “hands-on learning” – featuring the use of holographic patients.

Through a mixed reality training system called HoloScenarios, students at Addenbrooke’s Hospital, part of the Cambridge University Hospitals NHS Foundation Trust, are now being trained via immersive holographic patient scenarios in a world first.

The new technology is aimed at providing a more affordable alternative to traditional immersive medical simulation training involving patient actors, which can demand a lot of resources.

Developers also hope the technology will help improve access to medical training worldwide.

 

From DSC:
Below are several observations re: our learning ecosystems — and some ideas on how we can continue to improve them.


It takes years to build up the knowledge and skills in order to be a solid teacher, faculty member, instructional designer, and/or trainer. It takes a lot of studying to effectively research how the brain works and how we learn. Then we retire…and the knowledge is often lost or not passed along. And the wheel gets reinvented all over again. And again. And again.

Along these lines — and though we’re making progress in this area — too often we separate the research from the practical application of that research. So we have folks working primarily in learning science, neuroscience, cognitive psychology, and related fields. But their research doesn’t always get practically applied within our learning spaces. We have researchers…and then we have practitioners. So I greatly appreciate the likes of Pooja Agarwal and Patrice Bain out at RetrievalPractice.org, Daniel Willingham, Eva Keiffenheim, The Learning Scientists, James Lang, and several others who bridge this gap.

We need to take more of the research from learning science and apply it in our learning spaces.

Perhaps more researchers, faculty members, teachers, trainers, instructional designers, principals, provosts, etc. could blog or be active out on social media.

***

Along these lines, we need to spend more time helping people know how best to study and to learn.
If that type of thing is ever to be learned, it seems like it’s often learned or discussed in the mid- to later years of one’s life…often after one’s primary and secondary days are long gone.

Instead, we should consider putting these easy-to-understand posters from the Learning Scientists in every K-12 school, college, and university in the nation — or something like them.

***

To provide the most effective engaging learning experiences, we should consider using more team-based approaches. As appropriate, that could include the students themselves.

***

We put way too much emphasis on grades — which produces gameplayers who seek only to do the minimum amount of work necessary to get the A’s.  Doing so creates systems whereby learning is not the goal — getting a 4.0+ is.

***
As we are now required to be lifelong learners, our quality of life as a whole goes waaaay up if we actually enjoy learning.  Many people discover later in life that they like to learn…they just didn’t like school. Perhaps we could place greater emphasis within K-16 on whether students enjoyed their learning experiences or not. And if not, what might have made that topic more enjoyable to them? Or what other topics would they like to dive into (that weren’t’ on the original learning menu)?

This could also apply in the corporate training/L&D space as well. Such efforts could go a long way in helping establish stronger learning cultures.

***

We don’t provide enough choice to our students. We need to do a better job of turning over more control to them in their learning journey. We turn students off to learning because we try to cram information that they don’t care about down their throats. So then we have to use the currency of grades to force them into doing the work that they could care less about doing. Their experience with learning/school can easily get soured.

Learners need: More voice. More choice. More control. -- this image was created by Daniel Christian

We need to be more responsive with our curricula. And we need to explain how the information we’re trying to relay is relevant in the real world and will be relevant in their futures.

***

So those are some ideas that I wanted to relay. Thanks for your time and for your shared interests here!

 

From DSC:
An AI-backed platform will constantly search all job postings and present the most desired skills in the marketplace and then how to get those skills. The providers will be individuals, organizations, training providers, traditional institutions of higher education, vendors and more.

Depending upon what happens with blockchain — and if a much more energy-efficient/environmentally-friendly solution can be implemented — blockchain may be a part of that equation.

 

Boost Usability of Libraries & Knowledge Hubs with Automation — from learningsolutionsmag.com by Markus Bernhardt

Excerpts (emphasis DSC):

Our article series looks at the top three areas where we see automation and AI revolutionizing the way in which successful L&D teams work: Asset libraries and knowledge hubs; hyper-personalized, truly adaptive learning; and capability mapping. This article examines the impact of AI and automation on maintaining asset libraries and knowledge hubs.

Thus, the contextualization engine becomes a powerful content management tool. It is also easy to use and requires no particular subject matter knowledge of the user; the librarian who has read everything does that for the user. And this works, of course, with articles, slide decks, audio, video, and even VR/AR content, and basically any file type.

Assets can be mapped to competencies, skills, learning objectives, departments, the requirements of a specific course or workshop, or to the horizontals and verticals of an organization’s internal restructuring model. And this takes place within seconds and minutes, and at scale.

With the ability to map content as well as practice exercises, questions, and assessments automatically into each concept’s complexity tree, it is now possible to use automation and AI to deliver adaptive and truly personalized learning content and learning paths. 
 

Entrepreneur Education Platform GeniusU Raises $1.5M Seed Funding at $250M Valuation — from edtechreview.in ed by Stephen Soulunii

Excerpt (emphasis DSC):

Genius Group has recently announced that its EdTech arm, GeniusU Ltd, has raised $1.5 million in a seed round to support the development of its Genius Metaversity virtual learning plans.

With the fresh funding, GeniusU plans to extend its courses and programs to interactive learning environments in the metaverse, with students and faculty connecting and learning in global classrooms and virtual 3D environments. It also plans to integrate each student’s AI-based virtual assistant ‘Genie’ into the metaverse as 3D virtual assistants that accompany each student on their personalized journey and integrate its GEMs (Genius Education Merits) student credits into the metaverse. GEMs are earned by students as they learn and can be spent on products and services within GeniusU and counting towards their certifications.

 

Why One University Is Moving Toward a Subscription Model — a podcast from edsurge.com by Jeffrey R. Young

Excerpts:

One big theme in education-innovation circles is that the professional world is changing faster than ever, and so schools and colleges must adjust how they teach to meet those needs.

One college in St. Louis, Maryville University, is embracing that argument in a big way by revamping its curriculum and even changing its business model to include options like a subscription model—with the goal of helping its students get good jobs after graduation.

“By the end of this decade or before, students should pay for higher ed the way they pay for Netflix or their cell phone bill,” Lombardi says.

From DSC:
I thought this was an interesting conversation and I agreed with much of what Mark Lombardi, President of Maryville University, had to say. 

I appreciated Jeff’s attempts at trying to get Mark to hear that “learning styles” aren’t supported by the research. I wish Mark would have used the word “preferences” instead…as I do think learners have preferences when it comes to them learning about new topics.

 

 

How to make competency-based education possible through an intelligent learning platform — from blog.neolms.com by Ioana Solea

Excerpt:

Competency-based education plays an essential role in this endeavor. As its name suggests, this type of learning focuses on individual competency. It promotes a learner-centric approach in which students get from level A to level B after acquiring and demonstrating mastery of certain skills.

Competency-based learning is easier to implement when you have the right tools. An intelligent learning platform (ILP) is the ideal option. This technology already incorporates all the features you need to implement a competency-based learning model.

Learn how an ILP enables competency-based education.

 

The Future of ID in an AI World — from learningsolutionsmag.com by Markus Bernhardt and Clark Quinn

Excerpt:

Recent advances in artificial intelligence (AI) are promising great things for learning. The potential here is impressive, but there also exist many questions and insecurities around deploying AI technology for learning: What can AI do? Where is it best utilized? What are the limits? And particularly: What does that leave for the instructional designer and other human roles in learning, such as coaching and training?

We want to suggest that these developments are for the benefit of everyone—from organizational development strategy devised in the C-suite, via content creation/curation by instructional designers, right through to the learners, as well as coaches and trainers who work with the learners.

 

 

Now we just need a “Likewise TV” for learning-related resources! [Christian]

Likewise TV Brings Curation to Streaming — from lifewire.com by Cesar Aroldo-Cadenas
And it’s available on iOS, Android, and some smart TVs

All your streaming services in one place. One search. One watchlist. Socially powered recommendations.

Entertainment startup Likewise has launched a new recommendations hub that pulls from all the different streaming platforms to give you personalized picks.

Likewise TV is a streaming hub powered by machine learning, people from the Likewise community, and other streaming services. The service aims to do away with mindlessly scrolling through a menu, looking for something to watch, or jumping from one app to another by providing a single location for recommendations.

Note that Likewise TV is purely an aggregator.


Also see:

Likewise TV -- All your streaming services in one place. One search. One watchlist. Socially powered recommendations.

 


From DSC:
Now we need this type of AI-based recommendation engine, aggregator, and service for learning-related resources!

I realize that we have a long ways to go here — as a friend/former colleague of mine just reminded me that these recommendation engines often miss the mark. I’m just hoping that a recommendation engine like this could ingest our cloud-based learner profiles and our current goals and then present some promising learning-related possibilities for us. Especially if the following graphic is or will be the case in the future:


Learning from the living class room


Also relevant/see:

From DSC:
Some interesting/noteworthy features:

  • “The 32- inch display has Wi-Fi capabilities to supports multiple streaming services, can stream smartphone content, and comes with a removable SlimFit Cam.”
  • The M8 has Wi-Fi connectivity for its native streaming apps so you won’t have to connect to a computer to watch something on Netflix. And its Far Field Voice mic can be used w/ the Always On feature to control devices like Amazon Alexa with your voice, even if the monitor is off.
  • “You can also connect devices to the monitor via the SmartThings Hub, which can be tracked with the official SmartThings app.”

I wonder how what we call the TV (or television) will continue to morph in the future.


Addendum on 3/31/22 from DSC:
Perhaps people will co-create their learning playlists…as is now possible with Spotify’s “Blend” feature:

Today’s Blend update allows you to share your personal Spotify playlists with your entire group chat—up to 10 users. You can manually invite these friends and family members to join you from in the app, then Spotify will create a playlist for you all to listen to using a mixture of everyone’s music preferences. Spotify will also create a special share card that everyone in the group can use to save and share the created playlist in the future.


 

Reflections on “Do We Really Want Academic Permanent Records to Live Forever on Blockchain?” [Bohnke]

From DSC:
Christin Bohnke raises a great and timely question out at edsurge.com in her article entitled:
Do We Really Want Academic Permanent Records to Live Forever on Blockchain?

Christin does a wonderful job of addressing the possibilities — but also the challenges — of using blockchain for educational/learning-related applications. She makes a great point that the time to look at this carefully is now:

Yet as much as unchangeable education records offer new chances, they also create new challenges. Setting personal and academic information in stone may actually counter the mission of education to help people evolve over time. The time to assess the benefits and drawbacks of blockchain technology is right now, before adoption in schools and universities is widespread.

As Christin mentions, blockchain technology can be used to store more than formal certification data. It could also store such informal certification data such as “research experience, individual projects and skills, mentoring or online learning.”

The keeping of extensive records via blockchain certainly raises numerous questions. Below are a few that come to my mind:

  • Will this type of record-keeping help or hurt in terms of career development and moving to a different job?
  • Will — or should — CMS/LMS vendors enable this type of feature/service in their products?
  • Should credentials from the following sources be considered relevant?
    • Microlearning-based streams of content
    • Data from open courseware/courses
    • Learning that we do via our Personal Learning Networks (PLNs) and social networks
    • Learning that we get from alternatives such as bootcamps, coding schools, etc.
  • Will the keeping of records impact the enjoyment of learning — or vice versa? Or will it depend upon the person?
  • Will there be more choice, more control — or less so?
  • To what (granular) level of competency-based education should we go? Or from project-based learning?
  • Could instructional designers access learners’ profiles to provide more personalized learning experiences?
  • …and I’m certain there are more questions than these.

All that said…

To me, the answers to these questions — and likely other questions as well — lie in:

  1. Giving a person a chance to learn, practice, and then demonstrate the required skills (regardless of the data the potential employer has access to)
    .
  2. Giving each user the right to own their own data — and to release it as they see fit. Each person should have the capability of managing their own information/data without having to have the skills of a software engineer or a database administrator. When something is written to a blockchain, there would be a field for who owns — and can administer — the data.

In the case of finding a good fit/job, a person could use a standardized interface to generate a URL that is sent out to a potential employer. That URL would be good for X days. The URL gives the potential employer the right to access whatever data has been made available to them. It could be full access, in which case the employer is able to run their own queries/searches on the data. Or the learner could restrict the potential employer’s reach to a more limited subset of data.

Visually, speaking:


Each learner can say who can access what data from their learner's profile


I still have a lot more thinking to do about this, but that’s where I’m at as of today. Have a good one all!


 

Holograms? Check! Now what? — from blog.webex.com by Elizabeth Bieniek

Excerpt (emphasis DSC):

Two years ago, I wrote about the Future of Meetings in 2030 and hinted at an effort my team was building to make this a reality. Now, we have publicly unveiled Webex Hologram and brought the reality of a real-time, end-to-end holographic meeting solution to life.

With Webex Hologram, you can feel co-located with a colleague who is thousands of miles away. You can share real objects in incredible multi-dimensional detail and collaborate on 3D content to show perspective, share, and approve design changes in real-time, all from the comfort of your home workspace.

As the hype dies down, the focus on entirely virtual experiences in fanciful environments will abate and a resurgence in focus on augmented experiences—interjecting virtual content into the physical world around you for an enhanced experience that blends the best of physical and virtual—will emerge.

The ability to have curated information at one’s fingertips, still holds an incredible value prop that has yet to be realized. Applying AI to predict, find, and present this type of augmented information in both 2D and 3D formats will become incredibly useful. 

From DSC:
As I think of some of the categories that this posting about establishing a new kind of co-presence relates to, there are many relevant ones:

  • 21st century
  • 24x7x365
  • 3D
  • Audio/Visual (A/V)
  • Artificial Intelligence (AI)
  • Cloud-based
  • Collaboration/web-based collaboration
  • Intelligent tutoring
  • Law schools, legal, government
  • Learning, learning agents, learning ecosystems, Learning from the Living [Class] Room, learning spaces/hubs/pods
  • Libraries/librarians
  • K-12, higher education, corporate training
  • Metaverse
  • Online learning
  • Telelegal, telemedicine
  • Videoconferencing
  • Virtual courts, virtual tutoring, virtual field trips
  • Web3
 

Technology We Need: Documenting the complete Learner Record — from gettingsmart.com by Nate McClennen and Rebecca Midles

Key Points

  • Most innovative schools and a number of states have built Graduate Profiles/Learner Profiles and a handful have created K12 competency progressions that articulate pathways towards meeting the profile.
  • These learning organizations are using a learning management system (LMS) that does not accommodate comprehensive Learner Records, does not capture or report transparent growth to learners or their families and does not capture out-of-course learning experiences.
  • We issue a challenge to those building and creating solutions.

From DSC:
The above posting reminds me of the following graphic:


 
© 2022 | Daniel Christian