The 50 Most Popular MOOCs of All Time — from onlinecoursereport.com, via Jordan Hall

Excerpt:

MOOCs – or Massive Open Online Courses – are picking up momentum in popularity – at least in terms of initial enrollment.

Unlike regular college/ university courses, MOOCs can attract many thousands of enrollees around the world. They can come in the form of active course sessions with participant interaction, or as archived content for self-paced study. MOOCs can be free, or there can be a charge – either on a subscription basis or a one-time charge. Free MOOCs sometimes have a paid “verified certificate” option. There are now thousands of MOOCs available worldwide from several hundred colleges, universities and other institutions of higher learning. For your convenience, we’ve compiled a list of 50 of the most popular MOOCs, based on enrollment figures for all sessions of a course. The ranking is based on filtering enrollment data for 185 free MOOCs on various elearning platforms.

 

Gartner: Top 10 strategic technology trends for 2016 — from forbes.com by Peter High

Excerpts:

1. The Device Mesh
2. Ambient User Experience
3. 3D-printing Materials
4. Information of Everything
5. Advanced Machine Learning
6. Autonomous Agents and Things
7. Adaptive Security Architecture
8. Advanced Customer Architecture
9. Mesh App and Service Architecture
10. Internet of Things Architecture and Platforms

 

Also see:

GartnerOct2015

 

 

IBM Expands Watson Platform for Next Generation of Builders; Extends Industry’s Largest Portfolio of Cognitive APIs — from ibm.com

– New APIs Broaden Watson’s Language, Vision and Speech Capabilities
– Developer Tools Simplify Combining APIs and Data
– Upcoming Platform Innovations Previewed including Industry Data Sets & Robotics Integration
– New Watson Hub to Open in San Francisco

Excerpt:

SAN FRANCISCO – 24 Sep 2015: IBM (NYSE: IBM) today expanded the industry’s largest and most diverse set of cognitive APIs, technologies and tools for developers who are creating products, services and applications embedded with Watson.

The announcement was made by IBM during its forum on cognitive computing and Artificial Intelligence, where the company announced a new Watson location in San Francisco. IBM also previewed new platform innovations and research projects that will extend its industry-leading cognitive portfolio.

 

 

Excerpts from IBM Watson Ecosystem Partners in Market Building Businesses:

Student Career Counseling: Carney Labs is an education technology company that provides a platform embedded with Watson language capabilities to help schools learn about a student’s personality characteristics in order to build them a career roadmap. The Commonwealth of Virginia adopted a policy for all high schools in the state to leverage this app to use with students entering their freshman year.

Knowledge Management: Bloomfire  is a cloud-based knowledge network platform that helps employees within a company easily find the information they need to do their jobs. By scanning posts within the platform and automatically creating tags via the Watson data insights API, employees at companies including Whole Foods, Dun & Bradstreet and Etsy spend less time searching for information and more time doing meaningful work to improve company performance.

Research & Development: Inno360, an enterprise research and innovation management platform provider, is embedding a powerful combination of 7 Watson APIs for language and data insights into its SaaS platform to transform the way its clients, including Fortune 50 companies, conduct research and process big data. Inno360 is able to provide its clients advanced analysis of their R&D data to resolve product issues quickly and bring new products to market more rapidly.

Talent Sourcing and Matching: UnitesUs is a cloud based hiring & recruitment platform utilizing cognitive computing and big data analysis to match prospective employees to hiring organizations based on personality, company cultural fit, and core qualifications. By analyzing the personalities of job candidates leveraging Watson language capabilities and characterizing a company’s work environment, UnitesUs uses proprietary, automated matching algorithms to help companies, including imaging and electronics company Ricoh USA and fitness gym chain 24 Hour Fitness, make better hiring decisions.

 

 

ibmwatson-sept2015

 

Now we’re talking! One step closer! “The future of TV is apps.” — per Apple’s CEO, Tim Cook

OneStepCloser-DanielChristian-Sept2015

 

From DSC:
We’ll also be seeing the integration of the areas listed below with this type of “TV”-based OS/platform:

  • Artificial Intelligence (AI)
  • Data mining and analytics
  • Learning recommendation engines
  • Digital learning playlists
  • New forms of Human Computer Interfaces (HCI)
  • Intelligent tutoring
  • Social learning / networks
  • Videoconferencing with numerous other learners from across the globe
  • Virtual tutoring, virtual field trips, and virtual schools
  • Online learning to the Nth degree
  • Web-based learner profiles
  • Multimedia (including animations, simulations, and more)
  • Advanced forms of digital storytelling
  • and, most assuredly, more choice & more control.

Competency-based education and much lower cost alternatives could also be possible with this type of learning environment. The key will be to watch — or better yet, to design and create — what becomes of what we’re currently calling the television, and what new affordances/services the “TV” begins to offer us.

 

MoreChoiceMoreControl-DSC

 

 

 

From Apple’s website:

Apple Brings Innovation Back to Television with The All-New Apple TV
The App Store, Siri Remote & tvOS are Coming to Your Living Room

Excerpt:

SAN FRANCISCO — September 9, 2015 — Apple® today announced the all-new Apple TV®, bringing a revolutionary experience to the living room based on apps built for the television. Apps on Apple TV let you choose what to watch and when you watch it. The new Apple TV’s remote features Siri®, so you can search with your voice for TV shows and movies across multiple content providers simultaneously.

The all-new Apple TV is built from the ground up with a new generation of high-performance hardware and introduces an intuitive and fun user interface using the Siri Remote™. Apple TV runs the all-new tvOS™ operating system, based on Apple’s iOS, enabling millions of iOS developers to create innovative new apps and games specifically for Apple TV and deliver them directly to users through the new Apple TV App Store™.

tvOS is the new operating system for Apple TV, and the tvOS SDK provides tools and APIs for developers to create amazing experiences for the living room the same way they created a global app phenomenon for iPhone® and iPad®. The new, more powerful Apple TV features the Apple-designed A8 chip for even better performance so developers can build engaging games and custom content apps for the TV. tvOS supports key iOS technologies including Metal™, for detailed graphics, complex visual effects and Game Center, to play and share games with friends.

 

Addendum on 9/11/15:

 

From DSC:
Are we neglecting to ask some key questions within higher education? I’ll get to those questions in a moment, the ones that came to my mind after seeing the following posting:


The robots are coming for your job! Why digital literacy is so important for the jobs of the future — from theconversation.com

Excerpt (emphasis DSC):

In a report released this week, the Foundation for Young Australians (FYA) claims that up to 70% of young people are preparing for jobs that will no longer exist in the future. The report also raises concerns about decreasing entry-level occupations for school leavers and the impacts of automation.

In another recent report, the Committee for Economic Development of Australia predicts that:

almost five million Australian jobs – around 40% of the workforce – face the high probability of being replaced by computers in the next 10 to 15 years.

The FYA report also makes the case for increased emphasis on developing digital literacy and the implementation of a digital technologies curriculum in primary school.

Digital literacy includes skills such as coding, data synthesis and manipulation, as well as the design, use and management of computerised, digital and automated systems. Success in the new work order requires these skills alongside lateral thinking, innovation, problem-solving, collaboration and entrepreneurship. Add these to the traditional literacy skills of reading and writing and you have a very complex picture of what literacy is.

 

With automation a real threat to future jobs, school curricula have to keep up with the times.

 

 


From DSC:
The article raises an important point: “At the same time, the question of how we are preparing students in our schools for the new work order also bears serious consideration.”

I couldn’t agree more, as there are enormous ramifications to this topic/question: Are we, in fact, preparing our students for the future that they will inherit? 

I suppose I could have also titled this posting, “More reasons to support the liberal arts,” as the liberal arts lay a strong foundation for many of the twists and turns that our students (and ourselves) will encounter down the road. 

However, I fear that even within our liberal arts programs, we aren’t offering quite enough new courses that would help our students deal with a rapidly changing world.  For example, I would like to see more courses on futurism offered — training students to look up and pulse check a variety of items that could impact them, their families, or their businesses in the future. Also, I don’t think they are going to know how to run their own businesses or to effectively freelance, something that 30-50% of them are going to need to do (depending upon which articles and reports one reads).

Also, why aren’t we offering more online-based opportunities for students to encounter learning opportunities and discussions that involve people from all over the globe? Won’t they be on project teams like that in the future? Isn’t that occurring already?

What do you think…how are we doing here? How are things in your city, state, or country?

 


 

 

The NMC Releases the NMC Horizon Report > 2015 Library Edition — from nmc.org

Excerpt:

Six key trends, six significant challenges, and six important developments in educational technology are identified across three adoption horizons over the next one to five years, giving library leaders and staff a valuable guide for strategic planning. The format of the report was designed to provide these leaders with more in-depth insight into how the trends and challenges are accelerating and impeding the adoption of technology, along with their implications for policy, leadership, and practice.

“Nowhere on university campuses has technology had a more sweeping impact than on their libraries,” says Larry Johnson, Chief Executive Officer of the NMC and co-principal investigator for the project. “It is critically important for the field that the unique needs and perspectives of those who work in academic and research libraries are at the center of this second annual report.”

 

NMCReport-LibraryEdition2015

 

NMCReport-LibraryEdition2015-TOC

 

Question for the day:

What if each college and university created their own version of Lynda.com?

Lifelong learning.

Career development.

Developing and offering low cost, relevant, up-to-date streams of content.

Tracking of which modules a learner has taken and how they performed — the data from which are then fed into his or her web-based learner profile.

Courses that create new revenue streams for our institutions of higher education.

Hmmm…just throwing this idea out there…thinking out loud again…

 

linkedin_lynda

 

What might our learning ecosystems look like by 2025? [Christian]

This posting can also be seen out at evoLLLution.com (where LLL stands for lifelong learning):

DanielChristian-evoLLLutionDotComArticle-7-31-15

 

From DSC:
What might our learning ecosystems look like by 2025?

In the future, learning “channels” will offer more choice, more control.  They will be far more sophisticated than what we have today.

 

MoreChoiceMoreControl-DSC

 

That said, what the most important aspects of online course design end up being 10 years from now depends upon what types of “channels” I think there will be and what might be offered via those channels. By channels, I mean forms, methods, and avenues of learning that a person could pursue and use. In 2015, some example channels might be:

  • Attending a community college, a college or a university to obtain a degree
  • Obtaining informal learning during an internship
  • Using social media such as Twitter or LinkedIn
  • Reading blogs, books, periodicals, etc.

In 2025, there will likely be new and powerful channels for learning that will be enabled by innovative forms of communications along with new software, hardware, technologies, and other advancements. For examples, one could easily imagine:

  • That the trajectory of deep learning and artificial intelligence will continue, opening up new methods of how we might learn in the future
  • That augmented and virtual reality will allow for mobile learning to the Nth degree
  • That the trend of Competency Based Education (CBE) and microcredentials may be catapulted into the mainstream via the use of big data-related affordances

Due to time and space limitations, I’ll focus here on the more formal learning channels that will likely be available online in 2025. In that environment, I think we’ll continue to see different needs and demands – thus we’ll still need a menu of options. However, the learning menu of 2025 will be more personalized, powerful, responsive, sophisticated, flexible, granular, modularized, and mobile.

 


Highly responsive, career-focused track


One part of the menu of options will focus on addressing the demand for more career-focused information and learning that is available online (24×7). Even in 2015, with the U.S. government saying that 40% of today’s workers now have ‘contingent’ jobs and others saying that percentage will continue climbing to 50% or more, people will be forced to learn quickly in order to stay marketable.  Also, the 1/2 lives of information may not last very long, especially if we continue on our current trajectory of exponential change (vs. linear change).

However, keeping up with that pace of change is currently proving to be out of reach for most institutions of higher education, especially given the current state of accreditation and governance structures throughout higher education as well as how our current teaching and learning environment is set up (i.e., the use of credit hours, 4 year degrees, etc.).  By 2025, accreditation will have been forced to change to allow for alternative forms of learning and for methods of obtaining credentials. Organizations that offer channels with a more vocational bent to them will need to be extremely responsive, as they attempt to offer up-to-date, highly-relevant information that will immediately help people be more employable and marketable. Being nimble will be the name of the game in this arena. Streams of content will be especially important here. There may not be enough time to merit creating formal, sophisticated courses on many career-focused topics.

 

StreamsOfContent-DSC

 

With streams of content, the key value provided by institutions will be to curate the most relevant, effective, reliable, up-to-date content…so one doesn’t have to drink from the Internet’s firehose of information. Such streams of content will also offer constant potential, game-changing scenarios and will provide a pulse check on a variety of trends that could affect an industry. Social-based learning will be key here, as learners contribute to each other’s learning. Subject Matter Experts (SMEs) will need to be knowledgeable facilitators of learning; but given the pace of change, true experts will be rare indeed.

Microcredentials, nanodegrees, competency-based education, and learning from one’s living room will be standard channels in 2025.  Each person may have a web-based learner profile by then and the use of big data will keep that profile up-to-date regarding what any given individual has been learning about and what skills they have mastered.

For example, even currently in 2015, a company called StackUp creates their StackUp Report to add to one’s resume or grades, asserting that their services can give “employers and schools new metrics to evaluate your passion, interests, and intellectual curiosity.” Stackup captures, categorizes, and scores everything you read and study online. So they can track your engagement on a given website, for example, and then score the time spent doing so. This type of information can then provide insights into the time you spend learning.

Project teams and employers could create digital playlists that prospective employees or contractors will have to advance through; and such teams and employers will be watching to see how the learners perform in proving their competencies.

However, not all learning will be in the fast lane and many people won’t want all of their learning to be constantly in the high gears. In fact, the same learner could be pursuing avenues in multiple tracks, traveling through their learning-related journeys at multiple speeds.

 


The more traditional liberal arts track


To address these varied learning preferences, another part of the menu will focus on channels that don’t need to change as frequently.  The focus here won’t be on quickly-moving streams of content, but the course designers in this track can take a bit more time to offer far more sophisticated options and activities that people will enjoy going through.

Along these lines, some areas of the liberal arts* will fit in nicely here.

*Speaking of the liberal arts, a brief but important tangent needs to be addressed, for strategic purposes. While the following statement will likely be highly controversial, I’m going to say it anyway.  Online learning could be the very thing that saves the liberal arts.

Why do I say this? Because as the price of higher education continues to increase, the dynamics and expectations of learners continue to change. As the prices continue to increase, so do peoples’ expectations and perspectives. So it may turn out that people are willing to pay a dollar range that ends up being a fraction of today’s prices. But such greatly reduced prices won’t likely be available in face-to-face environments, as offering these types of learning environment is expensive. However, such discounted prices can and could be offered via online-based environments. So, much to the chagrin of many in academia, online learning could be the very thing that provides the type of learning, growth, and some of the experiences that liberal arts programs have been about for centuries. Online learning can offer a lifelong supply of the liberal arts.

But I digress…
By 2025, a Subject Matter Expert (SME) will be able to offer excellent, engaging courses chocked full of the use of:

  • Engaging story/narrative
  • Powerful collaboration and communication tools
  • Sophisticated tracking and reporting
  • Personalized learning, tech-enabled scaffolding, and digital learning playlists
  • Game elements or even, in some cases, multiplayer games
  • Highly interactive digital videos with built-in learning activities
  • Transmedia-based outlets and channels
  • Mobile-based learning using AR, VR, real-world assignments, objects, and events
  • …and more.

However, such courses won’t be able to be created by one person. Their sophistication will require a team of specialists – and likely a list of vendors, algorithms, and/or open source-based tools – to design and deliver this type of learning track.

 


Final reflections


The marketplaces involving education-related content and technologies will likely look different. There could be marketplaces for algorithms as well as for very granular learning modules. In fact, it could be that modularization will be huge by 2025, allowing digital learning playlists to be built by an SME, a Provost, and/or a Dean (in addition to the aforementioned employer or project team).  Any assistance that may be required by a learner will be provided either via technology (likely via an Artificial Intelligence (AI)-enabled resource) and/or via a SME.

We will likely either have moved away from using Learning Management Systems (LMSs) or those LMSs will allow for access to far larger, integrated learning ecosystems.

Functionality wise, collaboration tools will still be important, but they might be mind-blowing to us living in 2015.  For example, holographic-based communications could easily be commonplace by 2025. Where tools like IBM’s Watson, Microsoft’s Cortana, Google’s Deepmind, and Apple’s Siri end up in our future learning ecosystems is hard to tell, but will likely be there. New forms of Human Computer Interaction (HCI) such as Augmented Reality (AR) and Virtual Reality (VR) will likely be mainstream by 2025.

While the exact menu of learning options is unclear, what is clear is that change is here today and will likely be here tomorrow. Those willing to experiment, to adapt, and to change have a far greater likelihood of surviving and thriving in our future learning ecosystems.

 

Lessons from the Digital Classroom — from technologyreview.com by Nanette Byrnes
Technologists and venture capitalists are betting that the data online learning generates will reshape education.

Excerpt:

In four small schools scattered across San Francisco, a data experiment is under way. That is where AltSchool is testing how technology can help teachers maximize their students’ learning.

Founded two years ago by Max ­Ventilla, a data expert and former head of personalization at Google, AltSchool runs schools filled with data-gathering technology.

Information is captured from the moment each student arrives at school and checks in on an attendance app. For part of the day, students work independently, using iPads and Chromebooks, on “playlists” of activities that teachers have selected to match their personal goals. Data about each student’s progress is captured for teachers’ later review. Classrooms are recorded, and teachers can flag important moments by pressing a button, as you might TiVo your favorite television show.

The idea is that all the data from this network of schools will be woven into a smart centralized operating system that teachers will be able to use to design effective and personalized instruction. There is even a recommendation engine built in.

 

Opinion: Apple and IBM have big data plans for education— from computerworld.com by Jonny Evans
Apple and IBM are developing solutions that underpin a future of personalized mobile learning that lasts a lifetime.

Excerpt:

Apple and IBM have been developing the “Student Achievement App” for several months and this is due to enter real world tests this year. The partners recently began approaching US school districts to trial the new technologies. For example, in June a large delegation of Apple and IBM folk met with the Coppell ISD Board of Trustees.

They discussed a proposed partnership between IBM, Apple and CISD to develop these solutions, which are described as “content analytics for student learning”, according to the meeting minutes.

 

From DSC:
One paragraph reads:

It’s no surprise Apple wants to do what it can to improve the education industry. Co-founder Steve Jobs was famously frustrated with the way the sector works in the US. Speaking to Fortune, Denise Young Smith, Apple’s vice president of human resources said Apple CEO Tim Cook is also committed to and involved in the company’s educational technology programs. “Education and learning is our legacy but Tim goes above and beyond,” she says.

Though I’m a huge fan of Apple, I’d have to disagree here. I’m much more skeptical/dubious as to whether Apple’s leadership is as committed to education as they once were; and if they still are, it hasn’t been showing much these last few years. Instead, they’ve let Google make major inroads on this turf; to the point that I would even say that Google is blowing Apple out of the water in this space.

So from my edtech-based perspective, Apple has dropped the ball on education in recent years — instead, leadership focused far more on the iPhone, music, and other consumer-oriented goods and services. From a business standpoint, I get it. They’re the largest company in the world (by market cap) and their strategies are clearly working for them.

That said, I am encouraged when I see items like the one mentioned above and I hope that such education-related projects/endeavors — and the budgets and resources allocated to them — play a larger role at Apple in the future.

 

10 C-Suite jobs of the future — from fastcompany.com by Jared Lindzon; with thanks to Norma Owen for posting this on her Future Workforce newsletter
Step aside, chief innovation officers, and make way for chief automation officers and chief freelance relationship officers.

Excerpts:

With questions about the future of middle management, many believe that corporations will soon beef up their core leadership teams, allowing them to keep foundational business knowledge close to the top while delegating the increasingly complex attributes of the modern organization to in-house, executive-level experts.

These changes are expected to bring a slew of new positions into the C-suite…

With many considering a significant expansion of the C-suite imminent, here are a few new titles that we may see added in the near future:

  • Chief Ecosystem Officer
  • Chief User Experience Officer
  • Chief Automation Officer
  • Chief Freelance Relationship Officer
  • Chief Intellectual Property Officer
  • Chief Data Officer
  • Chief Privacy Officer
  • Chief Compliance Officer
  • …and others
 

So you want to be a data scientist: A guide for college grads — from datanami.com by Alex Woodie

Excerpt:

The first piece of advice for budding data scientists is not to get frustrated by the job requirements. No recent college grad can fill is simultaneously a math/statistics genius, an expert in marketing/derivatives /cybersecurity, and a pro Python/Java/R coder. (Hint: That’s why data scientists are called unicorns—because they don’t exist!)

“There are many skills under the umbrella of data science, and we should not expect any one single person to be a master of them all,” says Kirk Borne, a data scientist with Booz Allen Hamilton. “The best solution to the data science talent shortage is a team of data scientists. So I suggest that you become expert in two or more skill areas, but also have a working knowledge of the others.”

According to Borne, you’ll do well by yourself to bone up on core data science skills such as machine learning, information retrieval, statistics, and data and information visualization. You’ll also want to know your way around a databases and data structures and have at least some programming languages under your belt, such as Python, R, SAS, or Spark. Familiarity with graph analysis, natural language processing, and optimization also looks good on your data science resume, as do data modeling and simulation.

“The good news for physics, biology, astronomy, chemistry, and other science students is that they can easily translate their science skills into a data science profession,” he says.

 

IBM announces major commitment to advance Apache®Spark™, calling it potentially the most significant open source project of the next decade — from ibm.com
IBM joins Spark community, plans to educate more than 1 million data scientists

Excerpt:

ARMONK, NY – 15 Jun 2015: IBM (NYSE:IBM) today announced a major commitment to Apache®Spark™, potentially the most important new open source project in a decade that is being defined by data. At the core of this commitment, IBM plans to embed Spark into its industry-leading Analytics and Commerce platforms, and to offer Spark as a service on IBM Cloud. IBM will also put more than 3,500 IBM researchers and developers to work on Spark-related projects at more than a dozen labs worldwide; donate its breakthrough IBM SystemML machine learning technology to the Spark open source ecosystem; and educate more than one million data scientists and data engineers on Spark.

 

The Internet of Things will give rise to the algorithm economy — from blogs.gartner.com by Peter Sondergaard

Excerpt:

It’s hard to avoid. Almost every CEO’s conversation about how IT is driving innovation inevitably comes back to the potential of big data. But data is inherently dumb. It doesn’t actually do anything unless you know how to use it. And big data is even harder to monetize due to the sheer complexity of it.

Data alone is not going to be the catalyst for the next wave of IT-driven innovation. The next digital gold rush will be focused on how you do something with data, not just what you do with it. This is the promise of the algorithm economy.

Algorithms are already all around us. Consider the driver-less car. Google’s proprietary algorithm is the connective tissue that combines the software, data, sensors and physical asset together into a true leap forward in transportation. Consider high frequency trading. It’s a trader’s unique algorithm that drives each decision that generates higher return than their competitors, not the data that it accesses. And while we’re talking about Google, what makes it one of the most valuable brands in the world? It isn’t data; it’s their most closely guarded secret, their algorithms.

A brave new world of opportunities
Where does this ultimately lead? Software that thinks. Software that does. Cognitive software that drives autonomous machine-to-machine interactions. Dare I say artificial intelligence? I dare. I did.

 

From DSC:
Besides Training/L&D departments and those developing strategy & vision within the corporate world…Provosts Offices take note. Computer Science programs take note. Interested students take note. Those who want to take a right turn in their careers take note.

 

What’s next? GM predicts jobs of the future — from media.gm.com; with thanks to Norma Owen for the resource
Top 10 jobs of the future that will drive exciting technologies

Excerpt:

  • Electrical engineers
  • Analytics expert
  • Interaction designers
  • Web programmer
  • Autonomous driving engineer
  • Customer care experts
  • Sustainability integration expert
  • Industrial engineer
  • 3D Printing engineer
  • Alternative propulsion engineer

 

 

 

What work will look like in 2025 — from fastcompany.com by Gwen Moran
The experts weigh in on the future of work a decade from now.

Excerpt (emphasis):

Seismic Shift In Jobs
The jobs picture either delivers on technology’s promise or plunges us into a dystopian future. The same interconnected technology that will change how goods and services are delivered will “hollow out” a number of skilled jobs, Brynjolfsson says. Clerical work, bookkeeping, basic paralegal work, and even some types of reporting will be increasingly automated, contracting the number of jobs available and causing a drop in wages. And while more technology might create new and different types of jobs, so far we’ve seen more job loss than creation in these areas, he says.

Who wins? Specialists, the creative class, and people who have jobs that require emotional intelligence like salespeople, coaches, customer-service specialists, and people who create everything from writing and art to new products, platforms and services, Brynjolfsson says. Jobs in health care, personal services, and other areas that are tough to automate will also remain in demand, as will trade skills and science, technology and mathematics (STEM) skills, says Mark J. Schmit, PhD, executive director of the Society of Human Resource Management (SHRM) Foundation in Alexandria, Virginia.

However, this winner/loser scenario predicts a widening wealth gap, Schmit says. Workers will need to engage in lifelong education to remain on top of how job and career trends are shifting to remain viable in an ever-changing workplace, he says.

 

 

 

 
© 2024 | Daniel Christian