reinvent

Students take note of this: “GM to lay off 15% of salaried workers, halt production at 5 plants in U.S. & Canada”

On 11/26/2018, in business, Canada, career development, change, corporate / business world, corporate universities / corporate training, Daniel S. Christian, reinvent, staying relevant, student-related, surviving, United States, vendors, workplace, youth, by Daniel Christian

GM to lay off 15 percent of salaried workers, halt production at five plants in U.S. and Canada — from washingtonpost.com by Taylor Telford

Excerpts:

Amid global restructuring, General Motors announced Monday it would reduce its North American production and salaried and executive workforce
…
These changes are part of GM’s efforts to focus its resources on self-driving and electric vehicles, as well as more efficient trucks, crossovers and SUVs, the company said in a statement.

The company also said it will cut 15 percent of its salaried workforce, laying off 25 percent of its executives to “streamline decision-making.” GM also said it will close two plants outside North America by the end of 2019. Those locations have yet to be announced.

From DSC to students:
Take note of this. If you’re heading for the corporate world (and other arenas as well these days), be ready for constant change. Always keep learning in order to stay marketable. In addition, hopefully you’ll be pulse checking the relevant landscapes along the way to minimize getting broadsided. Look for signs of what’s coming down the pike and develop some potential scenarios — and your plans/responses to those scenarios.

“The global companies that failed to adapt to change.” [Rao] | DC: Higher ed likely has something to learn here.

On 11/05/2018, in 21st century, 24x7x365 access, active learning, Artificial Intelligence/Agents/LLMs/and Related, bots, business side of he, colleges, community colleges, corporate / business world, cost of getting a degree, dangers of the status quo, Daniel S. Christian, future, future of higher education, game-changing environment, global / globalization, ideas, innovation, intelligent systems, internet, law schools, leadership, learning, learning ecosystem, Learning from the Living [Class] Room, MBA, New "Amazon.com" of Higher Education, new business models, organizational change, pace of change, reinvent, society, staying relevant, strategy, student-related, surviving, training / L&D, universities, vendors, vision/possibilities, workplace, by Daniel Christian

The global companies that failed to adapt to change. — from trainingmag.com by Professor M.S. Rao, Ph.D.

Excerpt:

Eastman Kodak, a leader for many years, filed for bankruptcy in 2012. Blockbuster Video became defunct in 2013. Similarly, Borders — one of the largest book retailers in the U.S. — went out of business in 2011. Why did these companies, which once had great brands, ultimately fail? It is because they failed to adapt to change. Additionally, they failed to unlearn and relearn.
…
Former GE CEO Jack Welch once remarked, “If the rate of change on the outside exceeds the rate of change on the inside, the end is near.” Thus, accept change before the change is thrust on you.
…
Leaders must adopt tools and techniques to adapt to change. Here is a blueprint to embrace change effectively:

Keep the vision right and straight, and articulate it effectively.
Create organizational culture conducive to bring about change.
Communicate clearly about the need to change.
Enlighten people about the implications of the status quo.
Show them benefits once the change is implemented.
Coordinate all stakeholders effectively.
Remove the roadblocks by allaying their apprehensions.
Show them small gains to ensure that entire change takes place smoothly without any resistance.

From DSC:
Though I’m not on board with all of the perspectives in that article, institutions of traditional higher education likely have something to learn from the failures of these companies….while there’s still time to change and to innovate.

2 items re: AI’s potential impact/place within education

On 11/03/2018, in 21st century, 24x7x365 access, adult learning, analytics, Artificial Intelligence/Agents/LLMs/and Related, bots, business side of he, career development, change, changing business models, cloud-based computing / apps / other cloud-related, colleges, communities of practice, community colleges, computer science, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, cost of getting a degree, Daniel S. Christian, data related items, digital learning, distance education, education, education technology, elearning, future, game-changing environment, global / globalization, higher education, human-computer interaction (HCI), innovation, intelligent systems, intelligent tutoring, internet, IT in HE, languages and translation, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, microlearning, mobile learning, more voice more choice more control, Natural Language Processing (NLP), New "Amazon.com" of Higher Education, online learning, online media, organizational change, pace of change, personalized/customized learning, platforms, professional development, reinvent, universities, user experience (UX), using teams, vendors, by Daniel Christian

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 (& Algorithms) Rule [Young]

On 10/26/2018, in 21st century, analytics, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, business side of he, change, changing business models, colleges, community colleges, education technology, emerging technologies, face-to-face, faculty, future, future of higher education, game-changing environment, innovation, Learning from the Living [Class] Room, lifelong learning, microlearning, New "Amazon.com" of Higher Education, online learning, personalized/customized learning, platforms, reinvent, staying relevant, streams of content, surviving, tools, ubiquitous learning, UK, universities, user experience (UX), vision/possibilities, by Daniel Christian

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]

On 10/19/2018, in 21st century, 24x7x365 access, A/V -- audio/visual, Amazon, analytics, Artificial Intelligence/Agents/LLMs/and Related, bots, career development, colleges, communities of practice, community colleges, competency-based learning/education, computer science, content development, aggregation, repositories, corporate / business world, cost of getting a degree, dangers of the status quo, Daniel S. Christian, data related items, 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 & pods & microschooling, learning preferences, learning spaces, library / librarians, lifelong learning, microlearning, mobile learning, MOOCs -- Massive Open Online Courses, more voice more choice more control, multimedia, Natural Language Processing (NLP), New "Amazon.com" of Higher Education, new business models, online learning, online media, online tutoring, personalized/customized learning, platforms, 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/possibilities, voice recognition / voice enabled interfaces, 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.

What will be important in the learn and work ecosystem in 2030? How do we prepare? — from evolllution.com by Holly Zanville | Senior Advisor for Credentialing and Workforce Development, Lumina Foundation

Excerpt:

These seven suggested actions—common to all scenarios—especially resonated with Lumina:

Focus on learning: All learners will need a range of competencies and skills, most critically: learning how to learn; having a foundation in math, science, IT and cross-disciplines; and developing the behaviors of grit, empathy and effective communication.
Prepare all “systems”: Schools will continue to be important places to teach competencies and skills. Parents will be important teachers for children. Workplaces will also be important places for learning, and many learners will need instruction on how to work effectively as part of human/machine teams.
Integrate education and work: Education systems will need to be integrated with work in an education/work ecosystem. To enable movement within the ecosystem, credentials will be useful, but only if they are transparent and portable. The competencies and skills that stand behind credentials will need to be identifiable, using a common language to enable (a) credential providers to educate/train for an integrated education/work system; (b) employers to hire people and upgrade their skills; and (c) governments (federal/state/local) to incentivize and regulate programs and policies that support the education/work system.
Assess learning: Assessing competencies and skills acquired in multiple settings and modes (including artificial reality and virtual reality tools), will be essential. AI will enable powerful new assessment tools to collect and analyze data about what humans know and can do.
Build fair, moral AI: There will be a high priority on ensuring that AI has built-in checks and balances that reflect moral values and honor different cultural perspectives.
Prepare for human/machine futures: Machines will join humans in homes, schools and workplaces. Machines will likely be viewed as citizens with rights. Humans must prepare for side-by-side “relationships” with machines, especially in situations in which machines will be managing aspects of education, work and life formerly managed by humans. Major questions will also arise about the ownership of AI structures—what ownership looks like, and who profits from ubiquitous AI structures.
Build networks for readiness/innovation: Open and innovative partnerships will be needed for whatever future scenarios emerge. In a data-rich world, we won’t solve problems alone; networks, partnerships and communities will be key.

Also see:

10 jobs that are safe in an AI world — from linkedin.com by Kai-Fu Lee

Excerpts:

Teaching
AI will be a great tool for teachers and educational institutions, as it will help educators figure out how to personalize curriculum based on each student’s competence, progress, aptitude, and temperament. However, teaching will still need to be oriented around helping students figure out their interests, teaching students to learn independently, and providing one-on-one mentorship. These are tasks that can only be done by a human teacher. As such, there will still be a great need for human educators in the future.

Criminal defense law
Top lawyers will have nothing to worry about when it comes to job displacement. reasoning across domains, winning the trust of clients, applying years of experience in the courtroom, and having the ability to persuade a jury are all examples of the cognitive complexities, strategies, and modes of human interaction that are beyond the capabilities of AI. However, a lot of paralegal and preparatory work like document review, analysis, creating contracts, handling small cases, packing cases, and coming up with recommendations can be done much better and more efficiently with AI. The costs of law make it worthwhile for AI companies to go after AI paralegals and AI junior lawyers, but not top lawyers.

From DSC:
In terms of teaching, I agree that while #AI will help personalize learning, there will still be a great need for human teachers, professors, and trainers. I also agree w/ my boss (and with some of the author’s viewpoints here, but not all) that many kinds of legal work will still need the human touch & thought processes. I diverge from his thinking in terms of scope — the need for human lawyers will go far beyond just lawyers involved in crim law.

Also see:

15 business applications for artificial intelligence and machine learning — from forbes.com

Excerpt:

Fifteen members of Forbes Technology Council discuss some of the latest applications they’ve found for AI/ML at their companies. Here’s what they had to say…

What does the Top Tools for Learning 2018 list tell us about the future direction of L&D? — from modernworkplacelearning.com by Jane Hart

Excerpt:

But for me 3 key things jump out:

More and more people are learning for themselves – in whatever way that suits them best – whether it is finding resources or online courses on the Web or interacting with their professional network. And they do all this for a variety of reasons: to solve problems, self-improve and prepare themselves for the future, etc.
Learning at work is becoming more personal and continuous in that it is a key part of many professional’s working day. And what’s more people are not only organising their own learning activities, they are also indeed managing their own development too – either with (informal) digital notebooks, or with (formal) personal learning platforms.
But it is in team collaboration where most of their daily learning takes place, and many now recognise and value the social collaboration platforms that underpin their daily interactions with colleagues as part of their daily work.

In other words, many people now see workplace learning as not just something that happens irregularly in corporate training, but as a continuous and on demand activity.

From DSC:
Reminds me of tapping into — and contributing towards — streams of content. All the time. Continuous, lifelong learning.

20 ways to prepare yourself for modern workplace learning — from modernworkplacelearning.com by Jane Hart

Excerpt:

Reimagining the Higher Education Ecosystem

On 06/20/2018, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence/Agents/LLMs/and Related, business, career development, change, cloud-based computing / apps / other cloud-related, collaboration, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, credentialing, curriculum, dangers of the status quo, Daniel S. Christian, digital learning, distance education, education, education reform, education technology, emerging technologies, engagement / engaging students, experimentation, future, future of higher education, game-changing environment, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, learning, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, lifelong learning, New "Amazon.com" of Higher Education, passions, platforms, professional development, reinvent, society, staying relevant, strategy, streams of content, student-related, surviving, teaching & learning, tools, training / L&D, United States, universities, vision/possibilities, web-based collaboration, workplace, youth, by Daniel Christian

Reimagining the Higher Education Ecosystem — from edu2030.agorize.com
How might we empower people to design their own learning journeys so they can lead purposeful and economically stable lives?

Excerpts:

The problem
Technology is rapidly transforming the way we live, learn, and work. Entirely new jobs are emerging as others are lost to automation. People are living longer, yet switching jobs more often. These dramatic shifts call for a reimagining of the way we prepare for work and life—specifically, how we learn new skills and adapt to a changing economic landscape.

The changes ahead are likely to hurt most those who can least afford to manage them: low-income and first generation learners already ill-served by our existing postsecondary education system. Our current system stifles economic mobility and widens income and achievement gaps; we must act now to ensure that we have an educational ecosystem flexible and fair enough to help all people live purposeful and economically stable lives. And if we are to design solutions proportionate to this problem, new technologies must be called on to scale approaches that reach the millions of vulnerable people across the country.

The challenge
How might we empower people to design their own learning journeys so they can lead purposeful and economically stable lives?

The Challenge—Reimagining the Higher Education Ecosystem—seeks bold ideas for how our postsecondary education system could be reimagined to foster equity and encourage learner agency and resilience. We seek specific pilots to move us toward a future in which all learners can achieve economic stability and lead purposeful lives. This Challenge invites participants to articulate a vision and then design pilot projects for a future ecosystem that has the following characteristics:

Expands access: The educational system must ensure that all people—including low-income learners who are disproportionately underserved by the current higher education system—can leverage education to live meaningful and economically stable lives.

Draws on a broad postsecondary ecosystem: While college and universities play a vital role in educating students, there is a much larger ecosystem in which students learn. This ecosystem includes non-traditional “classes” or alternative learning providers, such as MOOCs, bootcamps, and online courses as well as on-the-job training and informal learning. Our future learning system must value the learning that happens in many different environments and enable seamless transitions between learning, work, and life.

From DSC:
This is where I could see a vision similar to Learning from the Living [Class] Room come into play. It would provide a highly affordable, accessible platform, that would offer more choice, and more control to learners of all ages. It would be available 24×7 and would be a platform that supports lifelong learning. It would combine a variety of AI-enabled functionalities with human expertise, teaching, training, motivation, and creativity.

It could be that what comes out of this challenge will lay the groundwork for a future, massive new learning platform.

Also see:

Office of Edtech Wants Help Making Sense of All Those Higher Ed Providers — from edsurge.com by Sydney Johnson

Mary Meeker’s Annual “Internet Trends Report” — the 2018 Edition is now out!

On 06/04/2018, in 21st century, A/V -- audio/visual, Amazon, analytics, Apple, Artificial Intelligence/Agents/LLMs/and Related, Asia, bots, business, career development, change, changing business models, cloud-based computing / apps / other cloud-related, communications, computer science, corporate / business world, data related items, digital video, economics, emerging technologies, Europe, Facebook / Meta Platforms, global / globalization, Google, ideas, innovation, internet, learning, lifelong learning, Microsoft, mobile technologies, MOOCs -- Massive Open Online Courses, more voice more choice more control, online learning, online media, pace of change, personalized/customized learning, platforms, presentations, programming, reinvent, research, society, sociology, staying relevant, student-related, surviving, technologies for your home, technology (general), the downsides of how people use tech, tools, trends, United States, user experience (UX), vendors, voice recognition / voice enabled interfaces, workplace, by Daniel Christian

Below are some excerpted slides from her presentation…

Also see:

20 important takeaways for learning world from Mary Meeker’s brilliant tech trends – from donaldclarkplanb.blogspot.com by Donald Clark
Excerpt:
Mary Meeker’s slide deck has a reputation of being the Delphic Oracle of tech. But, at 294 slides it’s a lot to take in. Don’t worry, I’ve been through them all. It has tons on economic stuff that is of marginal interest to education and training but there’s plenty to to get our teeth into. We’re not immune to tech trends, indeed we tend to follow in lock-step, just a bit later than everyone else. Among the data are lots of fascinating insights that point the way forward in terms of what we’re likely to be doing over the next decade. So here’s a really quick, top-end summary for folk in the learning game.

“Educational content usage online is ramping fast” with over 1 billion daily educational videos watched. There is evidence that use of the Internet for informal and formal learning is taking off.

Here’s Mary Meeker’s essential 2018 Internet Trends report — from techcrunch.com by Josh Constine

10 Big Takeaways From Mary Meeker’s Widely-Read Internet Report — from fortune.com by Leena Rao

Skill shift: Automation and the future of the workforce — from mckinsey.com by Jacques Bughin, Eric Hazan, Susan Lund, Peter Dahlström, Anna Wiesinger, and Amresh Subramaniam
Demand for technological, social and emotional, and higher cognitive skills will rise by 2030. How will workers and organizations adapt?

Excerpt:

Skill shifts have accompanied the introduction of new technologies in the workplace since at least the Industrial Revolution, but adoption of automation and artificial intelligence (AI) will mark an acceleration over the shifts of even the recent past. The need for some skills, such as technological as well as social and emotional skills, will rise, even as the demand for others, including physical and manual skills, will fall. These changes will require workers everywhere to deepen their existing skill sets or acquire new ones. Companies, too, will need to rethink how work is organized within their organizations.

This briefing, part of our ongoing research on the impact of technology on the economy, business, and society, quantifies time spent on 25 core workplace skills today and in the future for five European countries—France, Germany, Italy, Spain, and the United Kingdom—and the United States and examines the implications of those shifts.

Topics include:
How will demand for workforce skills change with automation?
Shifting skill requirements in five sectors
How will organizations adapt?
Building the workforce of the future

“The scary amount that college will cost in the future” DC: This line of thinking — and trend — needs to come to an end.

On 05/18/2018, in 21st century, 24x7x365 access, business side of he, change, changing business models, colleges, community colleges, cost of getting a degree, dangers of the status quo, Daniel S. Christian, future of higher education, higher education, ideas, learning, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning spaces, liberal arts, library / librarians, lifelong learning, microlearning, more voice more choice more control, New "Amazon.com" of Higher Education, online learning, parents/guardians, personalized/customized learning, platforms, reinvent, smart classrooms, society, streams of content, student-related, technologies for your home, technology (general), tools, trends, United States, universities, youth, by Daniel Christian

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)).

Incumbents Strike Back: Insights from the Global C-suite Study [IBM Institute for Business Value]

On 04/20/2018, in 21st century, business, corporate / business world, future, global / globalization, IBM, ideas, innovation, leadership, platforms, reinvent, staying relevant, strategy, surviving, vision/possibilities, workplace, by Daniel Christian

Incumbents Strike Back: Insights from the Global C-suite Study — by the IBM Institute for Business Value

Excerpts:

Dancing with disruption
Incumbents hit their stride
We explore the forces at play in shaping the current competitive environment, the opportunities emerging, and how a balance between stability and dynamism favors the Reinventors.

Trust in the journey
The path to personalization
Here we show how the Reinventors as design thinkers are testing their assumptions and re-orienting their organizations to engage their customers and create bonds based on trust.

Orchestrating the future
The pull of platform business models
This section reveals the step change in capability that occurs as organizations scale their partner networks in new ways. We chart how organizations will need to reconsider their value propositions and allocation of resources to own or participate in platforms.

Innovation in motion
Agility for the enterprise
We delineate how leaders are liberating their employees to experiment and innovate, get up close to customers and thrive in an ever-evolving ecosystem of dynamic teams and partnerships.

From DSC:
How do we best help folks impacted by these changes reinvent themselves? And to what? What adjustments to our educational systems do we need to make in order to help people stay marketable and employed?

Given the pace of change and the need for lifelong learning, we need to practice some serious design thinking on our new reality.

The amount of retail space closing in 2018 is on pace to break a record — from cnbc.com by Lauren Thomas

Bon-Ton’s more than 200 stores encompass roughly 24 million square feet.
CoStar Group has calculated already more than 90 million square feet of retail space (including Bon-Ton) is set to close in 2018.
That’s easily on track to surpass a record 105 million square feet of space shuttered in 2017.

Learning Ecosystems

Incumbents Strike Back: Insights from the Global C-suite Study [IBM Institute for Business Value]

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