From DSC:
Below is a graphic from an article by Jane Hart that’s entitled, “A seamless working and learning environment“- to me, it’s another good example/graphic of a learning ecosystem. This one happens to belong to an organization, but each of us has our own learning ecosystem as well.

 

Another good example/graphic of a learning ecosystem

 

 

From DSC:
The article below relays some interesting thoughts on what an alternative syllabus could look like. It kind of reminds me of a digital playlist…

Looking For Syllabus 2.0 — from usv.com by Dani Grant

Excerpt:

There have been several attempts already to curate online resources for learning new topics. Usually they take the form of a list of links. The problem with the list of links approach is that they are static and they are inefficient. You don’t need to read a whole link to get the main point, you want to curate little bits and pieces of open resources: 30 seconds of this podcast, a minute and a half from this youtube video, just these 4 paragraphs from this article.

The thing that is closest to a modern internet syllabi is Susan Fowler’s guide for learning physics (it’s really amazing, go check it out). What if you could have that type of curated guide for many topics that gets updated by the community over time, with inline discussion with other learners?

I think Syllabus 2.0 could look something like this:

We’ve created a sample syllabus for this last topic so you can see what we envision in action. It curates 8 hours of podcasts, talks and blog posts into a 30 minute guide.

 

 

Top Education Trend of 2018: Active Learning Spaces — from gettingsmart.com by Tom Vander Ark

Excerpts:

The top learning trend in K-12 learning in 2018 was active learning spaces–from double classrooms in old buildings from California’s Central Valley to the west tip of Texas in El Paso and multiage pods in new spaces from Redwood City to Charlottesville.

The flexible spaces facilitate project-based learning and competency-based progressions. Students move from project teams to skill groups to activity centers building skills and developing agency and self-management.

Competency: The Trend to Watch in 2019
A year from now people will be talking about competency frameworks–how learners progress as they demonstrate mastery.

The shift from marking time to measuring learning will be generational in length, but our landscape analysis suggests several interesting signs of progress that will be evident in 2019:

  • In the most interesting merger of the year, LRNG, the leading youth badging platform, joined forces with SNHU, the leading online university. Look for badges capturing in and out of school learning that stack into college credit.
  • More schools, like Purdue Polytech, will embrace project-based learning and competency-based progressions with support from XQ, NGLC funds, and NewSchools Venture Fund.
  • More platform partnerships where districts/networks are working in development cycles with platform providers (e.g. Brooklyn LAB and Cortex, Purdue Polytech and Course Networking, Lindsay USD and Empower).
  • More artificial intelligence is showing up in learning platforms improving personalization, formative feedback, and student scheduling.
  • More demand for interoperability will be evident as a result of efforts like Project Unicorn.

It’s going to be a good new year. Find a couch or pull up a bar stool–your choice. Work on a badge or microcredential, it’s likely to be more widely recognized next year.

 

Also see:

Brickstuff is the perfect way to light up Lego builds. This starter kit includes everything you need to get started. No electronics or soldering knowledge is necessary to set up these lights and start using them right away. Each flexible 2-LED Light Strip has a self-adhesive backing, which allows easy mounting to almost any surface. The strips are flexible, allowing you to mount them even on curved surfaces. This kit also includes a battery pack, so you can be up and running right away. This kit is ready to use with any microcontroller or robotics project too.

 

The skills companies need most in 2019 – and how to learn them — from linkedin.com by Paul Petrone

Excerpt:

To find out, we used exclusive LinkedIn data to determine the skills companies need most in 2019. These are the skills your boss and your boss’s boss find most valuable, but have a hard time finding – and the skills that’ll most help you better serve your clients and customers.

So consider this post your guide to the skills most worth learning in 2019.

The best part? We’ve unlocked LinkedIn Learning courses for all of January that teach these skills, so for a limited time you can learn them all for free.

 

 

Also see:

 

 

LinkedIn Learning Opens Its Platform (Slightly) [Young]

LinkedIn Learning Opens Its Platform (Slightly) — from edsurge by Jeff Young

Excerpt (emphasis DSC):

A few years ago, in a move toward professional learning, LinkedIn bought Lynda.com for $1.5 billion, adding the well-known library of video-based courses to its professional social network. Today LinkedIn officials announced that they plan to open up their platform to let in educational videos from other providers as well—but with a catch or two.

The plan, announced Friday, is to let companies or colleges who already subscribe to LinkedIn Learning add content from a select group of other providers. The company or college will still have to subscribe to those other services separately, so it’s essentially an integration—but it does mark a change in approach.

For LinkedIn, the goal is to become the front door for employees as they look for micro-courses for professional development.

 

LinkedIn also announced another service for its LinkedIn Learning platform called Q&A, which will give subscribers the ability to pose a question they have about the video lessons they’re taking. The question will first be sent to bots, but if that doesn’t yield an answer the query will be sent on to other learners, and in some cases the instructor who created the videos.

 

 

Also see:

LinkedIn becomes a serious open learning experience platform — from clomedia.com by Josh Bersin
LinkedIn is becoming a dominant learning solution with some pretty interesting competitive advantages, according to one learning analyst.

Excerpt:

LinkedIn has become quite a juggernaut in the corporate learning market. Last time I checked the company had more than 17 million users, 14,000 corporate customers, more than 3,000 courses and was growing at high double-digit rates. And all this in only about two years.

And the company just threw down the gauntlet; it’s now announcing it has completely opened up its learning platform to external content partners. This is the company’s formal announcement that LinkedIn Learning is not just an amazing array of content, it is a corporate learning platform. The company wants to become a single place for all organizational learning content.

 

LinkedIn now offers skills-based learning recommendations to any user through its machine learning algorithms. 

 

 



Is there demand for staying relevant? For learning new skills? For reinventing oneself?

Well…let’s see.

 

 

 

 

 

 



From DSC:
So…look out higher ed and traditional forms of accreditation — your window of opportunity may be starting to close. Alternatives to traditional higher ed continue to appear on the scene and gain momentum. LinkedIn — and/or similar organizations in the future — along with blockchain and big data backed efforts may gain traction in the future and start taking away some major market share. If employers get solid performance from their employees who have gone this route…higher ed better look out. 

Microsoft/LinkedIn/Lynda.com are nicely positioned to be a major player who can offer society a next generation learning platform at an incredible price — offering up-to-date, microlearning along with new forms of credentialing. It’s what I’ve been calling the Amazon.com of higher ed (previously the Walmart of Education) for ~10 years. It will take place in a strategy/platform similar to this one.

 



Also, this is what a guerilla on the back looks like:

 

This is what a guerilla on the back looks like!

 



Also see:

  • Meet the 83-Year-Old App Developer Who Says Edtech Should Better Support Seniors — from edsurge.com by Sydney Johnson
    Excerpt (emphasis DSC):
    Now at age 83, Wakamiya beams with excitement when she recounts her journey, which has been featured in news outlets and even at Apple’s developer conference last year. But through learning how to code, she believes that experience offers an even more important lesson to today’s education and technology companies: don’t forget about senior citizens.Today’s education technology products overwhelmingly target young people. And while there’s a growing industry around serving adult learners in higher education, companies largely neglect to consider the needs of the elderly.

 

 

Robots won’t replace instructors, 2 Penn State educators argue. Instead, they’ll help them be ‘more human.’ — from edsurge.com by Tina Nazerian

Excerpt:

Specifically, it will help them prepare for and teach their courses through several phases—ideation, design, assessment, facilitation, reflection and research. The two described a few prototypes they’ve built to show what that might look like.

 

Also see:

The future of education: Online, free, and with AI teachers? — from fool.com by Simon Erickson
Duolingo is using artificial intelligence to teach 300 million people a foreign language for free. Will this be the future of education?

Excerpts:

While it might not get a lot of investor attention, education is actually one of America’s largest markets.

The U.S. has 20 million undergraduates enrolled in colleges and universities right now and another 3 million enrolled in graduate programs. Those undergrads paid an average of $17,237 for tuition, room, and board at public institutions in the 2016-17 school year and $44,551 for private institutions. Graduate education varies widely by area of focus, but the average amount paid for tuition alone was $24,812 last year.

Add all of those up, and America’s students are paying more than half a trillion dollars each year for their education! And that doesn’t even include the interest amassed for student loans, the college-branded merchandise, or all the money spent on beer and coffee.

Keeping the costs down
Several companies are trying to find ways to make college more affordable and accessible.

 

But after we launched, we have so many users that nowadays if the system wants to figure out whether it should teach plurals before adjectives or adjectives before plurals, it just runs a test with about 50,000 people. So for the next 50,000 people that sign up, which takes about six hours for 50,000 new users to come to Duolingo, to half of them it teaches plurals before adjectives. To the other half it teaches adjectives before plurals. And then it measures which ones learn better. And so once and for all it can figure out, ah it turns out for this particular language to teach plurals before adjectives for example.

So every week the system is improving. It’s making itself better at teaching by learning from our learners. So it’s doing that just based on huge amounts of data. And this is why it’s become so successful I think at teaching and why we have so many users.

 

 

From DSC:
I see AI helping learners, instructors, teachers, and trainers. I see AI being a tool to help do some of the heavy lifting, but people still like to learn with other people…with actual human beings. That said, a next generation learning platform could be far more responsive than what today’s traditional institutions of higher education are delivering.

 

 

Academics Propose a ‘Blockchain University,’ Where Faculty (and Algorithms) Rule — from edsurge.com by Jeff Young

Excerpt:

A group of academics affiliated with Oxford University have proposed a new model of higher education that replaces traditional administrators with “smart contracts” on the blockchain, the same technology that drives Bitcoin and other cryptocurrencies.

“Our aim is to create a university in which the bulk of administrative tasks are either eliminated or progressively automated,” said the effort’s founders in a white paper released earlier this year. Those proposing the idea added the university would be “a decentralised, non-profit, democratic community in which the use of blockchain technology will provide the contractual stability needed to pursue a full course of study.”

Experiments with blockchain in higher education are underway at multiple campuses around the country, and many of researchers are looking into how to use the technology to verify and deliver credentials. Massachusetts Institute for Technology, for example, began issuing diplomas via blockchain last year.

The plan by Oxford researchers goes beyond digital diplomas—and beyond many typical proposals to disrupt education in general. It argues for a completely new framework for how college is organized, how professors are paid, and how students connect with learning. In other words, it’s a long shot.

But even if the proposed platform never emerges, it is likely to spur debates about whether blockchain technology could one day allow professors to reclaim greater control of how higher education operates through digital contracts.

 

The platform would essentially allow professors to organize their own colleges, and teach and take payments from students directly. “

 

 

 

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

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.

 

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

 

 

 

 

 

 

 

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.

 

 

 

NEW: The Top Tools for Learning 2018 [Jane Hart]

The Top Tools for Learning 2018 from the 12th Annual Digital Learning Tools Survey -- by Jane Hart

 

The above was from Jane’s posting 10 Trends for Digital Learning in 2018 — from modernworkplacelearning.com by Jane Hart

Excerpt:

[On 9/24/18],  I released the Top Tools for Learning 2018 , which I compiled from the results of the 12th Annual Digital Learning Tools Survey.

I have also categorised the tools into 30 different areas, and produced 3 sub-lists that provide some context to how the tools are being used:

  • Top 100 Tools for Personal & Professional Learning 2018 (PPL100): the digital tools used by individuals for their own self-improvement, learning and development – both inside and outside the workplace.
  • Top 100 Tools for Workplace Learning (WPL100): the digital tools used to design, deliver, enable and/or support learning in the workplace.
  • Top 100 Tools for Education (EDU100): the digital tools used by educators and students in schools, colleges, universities, adult education etc.

 

3 – Web courses are increasing in popularity.
Although Coursera is still the most popular web course platform, there are, in fact, now 12 web course platforms on the list. New additions this year include Udacity and Highbrow (the latter provides daily micro-lessons). It is clear that people like these platforms because they can chose what they want to study as well as how they want to study, ie. they can dip in and out if they want to and no-one is going to tell them off – which is unlike most corporate online courses which have a prescribed path through them and their use is heavily monitored.

 

 

5 – Learning at work is becoming personal and continuous.
The most significant feature of the list this year is the huge leap up the list that Degreed has made – up 86 places to 47th place – the biggest increase by any tool this year. Degreed is a lifelong learning platform and provides the opportunity for individuals to own their expertise and development through a continuous learning approach. And, interestingly, Degreed appears both on the PPL100 (at  30) and WPL100 (at 52). This suggests that some organisations are beginning to see the importance of personal, continuous learning at work. Indeed, another platform that underpins this, has also moved up the list significantly this year, too. Anders Pink is a smart curation platform available for both individuals and teams which delivers daily curated resources on specified topics. Non-traditional learning platforms are therefore coming to the forefront, as the next point further shows.

 

 

From DSC:
Perhaps some foreshadowing of the presence of a powerful, online-based, next generation learning platform…?

 

 

 

What is a learning ecosystem? And how does it support corporate strategy? — from ej4.com by Ryan Eudy

Excerpt:

learning ecosystem is a system of people, content, technology, culture, and strategy, existing both within and outside of an organization, all of which has an impact on both the formal and informal learning that goes on in that organization.

The word “ecosystem” is worth paying attention to here. It’s not just there to make the term sound fancy or scientific. A learning ecosystem is the L&D equivalent of an ecosystem out in the wild. Just as a living ecosystem has many interacting species, environments, and the complex relationships among them, a learning ecosystem has many people and pieces of content, in different roles and learning contexts, and complex relationships.

Just like a living ecosystem, a learning ecosystem can be healthy or sick, nurtured or threatened, self-sustaining or endangered. Achieving your development goals, then, requires an organization to be aware of its own ecosystem, including its parts and the internal and external forces that shape them.

 

From DSC:
Yes, to me, the concept/idea of a learning ecosystem IS important. Very important. So much so, I named this blog after it.

Each of us as individuals have a learning ecosystem, whether we officially recognize it or not. So do the organizations that we work for. And, like an ecosystem out in nature, a learning ecosystem is constantly morphing, constantly changing.

We each have people in our lives that help us learn and grow, and the people that were in our learning ecosystems 10 years ago may or may not still be in our current learning ecosystems. Many of us use technologies and tools to help us learn and grow. Then there are the spaces where we learn — both physical and virtual spaces. Then there are the processes and procedures we follow, formally and/or informally. Any content that helps us learn and grow is a part of that ecosystem. Where we get that content can change, but obtaining up-to-date content is a part of our learning ecosystems. I really appreciate streams of content in this regard — and tapping into blogs/websites, especially via RSS feeds and Feedly (an RSS aggregator that took off when Google Reader left the scene).

The article brings up a good point when it states that a learning ecosystem can be “healthy or sick, nurtured or threatened, self-sustaining or endangered.” That’s why I urge folks to be intentional about maintaining and, better yet, consistently enhancing their learning ecosystems. In this day and age where lifelong learning is now a requirement to remain in the workforce, each of us needs to be intentional in this regard.

 

 

U.S. L&D Report – Benchmark Your Workplace Learning  — from findcourses.com, via Alexander Caplan

Topics covered include:

  • L&D Benchmarking Survey: 2018
  • Virtual Reality: A New Reality for L&D
  • How to Promote a Learning Culture in Your Organization
  • How to Calculate Meaningful ROI for Workplace Learning

 

types of training offered to entry level, mid- and senior- level employees

 

 

types of technologies the learning and development group will use in 2018

 

Key takeaways from the U.S. L&D Report

 

 

Also see:

 

 

 
 

The scary amount that college will cost in the future — from cnbc.com by Annie Nova

Excerpt:

Think college is expensive now? Then new parents will probably want to take a seat for this news.

In 2036, just 18 years from now, four years at a private university will be around $303,000, up from $167,000 today.

To get a degree at a public university you’ll need about $184,000, compared with $101,000 now.

These forecasts were provided by Wealthfront, an automated investment platform that offers college saving options. It uses Department of Education data on the current cost of schools along with expected annual inflation to come up with its projections.

 

Excerpted graphic:

 

From DSC:
We had better be at the end of the line of thinking that says these tuition hikes can continue. It’s not ok. More and more people will be shut out by this kind of societal gatekeeper. The ever-increasing cost of obtaining a degree has become a matter of social justice for me. Other solutions are needed. The 800 pound gorilla of debt that’s already being loaded onto more and more of our graduates will impact them for years…even for decades in many of our graduates’ cases.

It’s my hope that a variety of technologies will make learning more affordable, yet still provide a high quality of education. In fact, I’m hopeful that the personalization/customization of learning will take some major steps forward in the very near future. We will still need and want solid teachers, professors, and trainers, but I’m hopeful that those folks will be aided by the heavy lifting that will be done by some powerful tools/technologies that will be aimed at helping people learn and grow…providing lifelong learners with more choice, more control.

I love the physical campus as much as anyone, and I hope that all students can have that experience if they want it. But I’ve seen and worked with the high costs of building and maintaining physical spaces — maintaining our learning spaces, dorms, libraries, gyms, etc. is very expensive.

I see streams of content becoming more prevalent in the future — especially for lifelong learners who need to reinvent themselves in order to stay marketable. We will be able to subscribe and unsubscribe to curated streams of content that we want to learn more about. For example, today, that could involve RSS feeds and Feedly (to aggregate those feeds). I see us using micro-learning to help us encode information and then practice recalling it (i.e., spaced practice), to help us stop or lessen the forgetting curves we all experience, to help us sort information into things we know and things that we need more assistance on (while providing links to resources that will help us obtain better mastery of the subject(s)).

 

 

Blockchain: Is it Good for Education? — from virtuallyinspired.org

Excerpt:

What is Blockchain?

Blockchain is a public ledger type database made up of records called blocks that are linked together like a chain.  It is a shared unchallengeable ledger for recording the history of transactions. Here, the ledger records the history of academic accomplishments. An education ledger (blockchain) could store academic information such as degrees, diplomas, tests etc. It could be kind of digital transcript.

A Few Potential Applications of Blockchain

  • Learning Credentials Repository – A blockchain database of credentials and achievements can be a secure online repository. Digitized records/blocks replace paper copies for sharing proof of learning and can be easily accessible and tracked. Blockchain can make it easy to access all of your academic accomplishments in a digitized and ultra-secure way. Each record is a block. Your records would be chained together and new credentials will be added as you go throughout your lifetime of learning.
  • Lifelong Learning Building Blocks – Informal learning activities could be captured, validated and stored in addition to formal learning accomplishments. This can be as simple as noting a watched video or completed online lesson. We’re already seeing some universities using blockchain with badges, credits, and qualifications.
  • Authenticating Credentials – Institutions, recruiting firms or employers can easily access and verify credentials. No more gathering of papers or trying to digitize to share. Blocks are digital “learning” records and come in multilingual format eliminating the painstaking task of translation.

What’s more, with diploma mills and fake credentials causing havoc for institutions and employers, blockchain solves the issue by providing protection from fraud. It has two-step authentication and spreads blocks across numerous computer nodes. It would take hitting over 51% of computers to falsify a block.

Sony and IBM have partnered and filed patents to develop a blockchain educational platform that can house student data, their performance reports and other information related to their academic records. Some universities have created their own platforms.

 

 

Also see:

Blockchain in Education — from by Alexander Grech and Anthony F. Camilleri

Context
Blockchain technology is forecast to disrupt any field of activity that is founded on timestamped record-keeping of titles of ownership. Within education, activities likely to be disrupted by blockchain technology include the award of qualifications, licensing and accreditation, management of student records, intellectual property management and payments.

Key Advantages of Blockchain Technology
From a social perspective, blockchain technology offers significant possibilities beyond those currently available. In particular, moving records to the blockchain can allow for:

  • Self-sovereignty, i.e. for users to identify themselves while at the same time maintaining control over the storage and management of their personal data;
  • Trust, i.e. for a technical infrastructure that gives people enough confidence in its operations to carry through with transactions such as payments or the issue of certificates;
  • Transparency & Provenance, i.e. for users to conduct transactions in knowledge that each party has the capacity to enter into that transaction;
  • Immutability, i.e. for records to be written and stored permanently, without thepossibility of modification;
  • Disintermediation, i.e. the removal of the need for a central controlling authority to manage transactions or keep records;
  • Collaboration, i.e. the ability of parties to transact directly with each other without the need for mediating third parties.

 

 

Sony wants to digitize education records using the blockchain

 

 

 

 

2018 Workplace Learning Report — from learning.linkedin.com

Excerpts:

The path to opportunity is changing
The short shelf life of skills and a tightening labor market are giving rise to a multitude of skill gaps. Businesses are fighting to stay ahead of the curve, trying to hold onto their best talent and struggling to fill key positions. Individuals are conscious of staying relevant in the age of automation.

Enter the talent development function.
These organizational leaders create learning opportunities to enable employee growth and achievement. They have the ability to guide their organizations to success in tomorrow’s labor market, but they can’t do it alone.

Our research answers the talent developer’s most pressing questions:
* How are savvy talent development leaders adapting to the pace of change in today’s dynamic world of work?
* Why do employees demand learning and development resources, but don’t make the time to learn?
* How do executives think about learning and development?
* Are managers the missing link to successful learning programs?

 

From DSC:
Even though this piece is a bit of a sales pitch for Lynda.com — a great service I might add — it’s still worth checking out. I say this because it brings up a very real trend that I’m trying to bring more awareness to — i.e., the pace of change has changed. Our society is not ready for this new, exponential pace of change. Technologies are impacting jobs and how we do our jobs, and will likely do so for the next several decades. Skills gaps are real and likely growing larger. Corporations need to do their part in helping higher education revise/develop curriculum and they need to offer funds to create new types of learning labs/environments. They need to offer more internships and opportunities to learn new skills.

 

 

 
© 2024 | Daniel Christian