To End Student Debt, Tie Tuition to Post-Graduation Salaries — from wired.com by Austen Allred
Opinion: If colleges only get paid when their graduates do, they’re incentivized to provide a service that actually gets students hired.

Excerpt:

But unlike student loans, if regulated responsibly, ISAs power a risk-averse path to higher education. Responsible ISAs—which typically require zero upfront cost, repayment only if and when the graduate lands a job earning a sizable income, and an ethical repayment cap, such as $30,000 total—eliminate cost as a barrier to entry. But it’s the way that ISAs align the incentives of school and student that makes the model paradigm-changing.

The financial tool serves a diversity of students. People who can’t afford the cost of a traditional on-campus degree, or who don’t have access to federal- or state-based aid programs, can pursue a postsecondary education at no upfront cost. Additionally, those who are transitioning back into the workforce or changing careers can retrain in in-demand fields.

There’s no one-size-fits-all path to higher education. But Income Share Agreements prove that shouldering enormous risk doesn’t have to be a prerequisite for students. ISAs imagine a future in which graduates aren’t burdened by growing debt, and where opportunity is as evenly distributed as talent.

 

From DSC:
Can you hear and feel the culture clash that’s embedded here? I can.

On one side of the coin, there exists many faculty members, deans, provosts, and college/university presidents as well as other members of administration who maintain a more liberal arts perspective — that college is meant for learning and preparing students for many jobs…not just their first jobs. 

On the other side of the coin are students who are paying ever increasing amounts of money to obtain their degrees. They want good jobs, and aren’t necessarily at school for the noble cause of learning. Many of these folks have different perspectives about what higher education is for…what it’s purpose is meant to be.

As the price of higher ed has increased, the former ways of viewing what a college education is supposed to be about — i.e., learning and a broad-based liberal arts type of education — are being increasingly shoved out the door. This is now by necessity I might add.

Along these lines, I can hear one of my former colleagues — an academic dean from years ago –adamantly insisting that higher education is not a business and that our students are not customers.

Since that time, it’s become very clear to me that higher education is most definitely a business. Not focusing on the multi-million dollar TV contracts or what many football coaches get paid…or not focusing on the revenue that research universities make on patents…let’s just focus on charging someone the price of a nice home for a 4-year degree. That alone makes it a business in my mind. The rising price of education has created customers.

(By the way, this development occurred on the watch of many of those same faculty members, provosts, presidents and other members of administration, etc. that claim a more noble goal of higher education.)

Students today can’t afford to attend school the way boomers did. As the article states:

When I went to college, nobody talked about student debt. Nobody talked about trade-offs. Everybody lived by one credo: Go to the best school you can, study the thing that you love, and it will work out on the other side. Frankly, for Boomers, that’s what happened. If you got a degree, you could expect to land a decent job with a decent salary. Even if you did accrue debt during college, payments were often manageable and short-lived.

That is certainly not the case anymore, as the article points out:

Bottom line:

Change has to occur. It can’t keep going on like this. We are at the precipice of massive change. It has to change or we are in massive trouble as a nation. The ramifications of this kind of student debt last for decades!

This is why a next generation, online-based learning platform will be the answer for many people. Surely such a delivery method and learning experience will not work for everyone — as the face-to-face (F2f) experience is still excellent and preferred by many people. But the F2F experience is arguably becoming the Maserati….and increasingly out of reach…and it’s burying people in debt for decades to come.

 

 

DSC: Holy smokes!!! How might this be applied to education/learning/training in the 21st century!?!

DC: Holy smokes!!! How might this be applied to education/learning/training in the 21st century!?!

 

“What if neither distance nor language mattered? What if technology could help you be anywhere you need to be and speak any language? Using AI technology and holographic experiences this is possible, and it is revolutionary.”

 

 

Also see:

Microsoft has a wild hologram that translates HoloLens keynotes into Japanese — from theverge.com by
Azure and HoloLens combine for a hint at the future

Excerpt:

Microsoft has created a hologram that will transform someone into a digital speaker of another language. The software giant unveiled the technology during a keynote at the Microsoft Inspire partner conference [on 7/17/19] in Las Vegas. Microsoft recently scanned Julia White, a company executive for Azure, at a Mixed Reality capture studio to transform her into an exact hologram replica.

The digital version appeared onstage to translate the keynote into Japanese. Microsoft has used its Azure AI technologies and neural text-to-speech to make this possible. It works by taking recordings of White’s voice, in order to create a personalized voice signature, to make it sound like she’s speaking Japanese.

 

 

 

The future of work in America — from mckinsey.com by Jacques Bughin,  James Manyika. and Jonathan Woetzel | July 2019

Excerpts (emphasis DSC):

Local economies across the country have been on diverging trajectories for years, and ***they are entering the automation age from different starting points.*** Our view incorporates the current state of local labor markets as well as the jobs that could be lost and gained in the decade ahead.

 

 

The US labor market looks markedly different today than it did two decades ago. It has been reshaped by dramatic events like the Great Recession but also by a quieter ongoing evolution in the mix and location of jobs. In the decade ahead, the next wave of technology may accelerate the pace of change. Millions of jobs could be phased out even as new ones are created. More broadly, the day-to-day nature of work could change for nearly everyone as intelligent machines become fixtures in the American workplace.

The labor market could become even more polarized. Workers with a high school degree or less are four times as likely as those with a bachelor’s degree to be displaced by automation. Reflecting more limited access to education, Hispanic workers are most at risk of displacement, followed by African Americans. Jobs held by nearly 15 million workers ages 18–34 may be automated, so young people will need new career paths to gain an initial foothold in the working world. Roughly 11.5 million workers over age 50 could also be displaced and face the challenge of making late-career moves. The hollowing out of middle wage work could continue.

The future of work is not just about how many jobs could be lost and gained. Technology is altering the day-to-day mix of activities associated with more and more jobs over time. The occupational mix of the economy is changing, and the demand for skills is changing along with it. Employers will need to manage large-scale workforce transformations that could involve redefining business processes and workforce needs, retraining and moving some people into new roles, and creating programs for continuous learning. This could be an opportunity to upgrade jobs and make them more rewarding. The choices that employers make will ripple through the communities in which they operate.

 

The need for a next gen learning platform is quickly approaching us!
Either that, or colleges and universities better get FAR more
responsive/nimble, and focus FAR more on lifelong learning.
This is not a joke.

This is not just text on a web page.
This is a future that’s barreling
at us at amazingly fast speeds.
A new chapter is coming at us quickly.

 

 

Pearson moves away from print textbooks — from campustechnology.com by Rhea Kelly

Excerpt:

All of Pearson’s 1,500 higher education textbooks in the U.S. will now be “digital first.” The company announced its big shift away from print today, calling the new approach a “product as a service model and a generational business shift to be much more like apps, professional software or the gaming industry.”

The digital format will allow Pearson to update textbooks on an ongoing basis, taking into account new developments in the field of study, new technologies, data analytics and efficacy research, the company said in a news announcement. The switch to digital will also lower the cost for students: The average e-book price will be $40, or $79 for a “full suite of digital learning tools.”

 

Top 10 Digital Transformation Trends For 2020 –from forbes.com by Daniel Newman

Excerpt (emphasis DSC):

A faster WiFi for a faster world: Although WiFi 6 and 5G are completely different technologies, both will be bringing us much faster processing and wireless connection speeds in 2020. 5G and WiFi 6 working in concert will create the perfect end-to-end combination of ultra-fast connectivity for home and office. Expect download speeds up to 3x faster than were achievable with WiFi 5, but that isn’t the best measure of the new standard’s value. The real value of WiFi 6 will be its ability to extend faster data speeds to far more devices than WiFi 5 was able to manage.

 

Reflections on “Clay Shirky on Mega-Universities and Scale” [Christian]

Clay Shirky on Mega-Universities and Scale — from philonedtech.com by Clay Shirky
[This was a guest post by Clay Shirky that grew out of a conversation that Clay and Phil had about IPEDS enrollment data. Most of the graphs are provided by Phil.]

Excerpts:

Were half a dozen institutions to dominate the online learning landscape with no end to their expansion, or shift what Americans seek in a college degree, that would indeed be one of the greatest transformations in the history of American higher education. The available data, however, casts doubt on that idea.

Though much of the conversation around mega-universities is speculative, we already know what a mega-university actually looks like, one much larger than any university today. It looks like the University of Phoenix, or rather it looked like Phoenix at the beginning of this decade, when it had 470,000 students, the majority of whom took some or all of their classes online. Phoenix back then was six times the size of the next-largest school, Kaplan, with 78,000 students, and nearly five times the size of any university operating today.

From that high-water mark, Phoenix has lost an average of 40,000 students every year of this decade.

 

From DSC:
First of all, I greatly appreciate both Clay’s and Phil’s thought leadership and their respective contributions to education and learning through the years. I value their perspectives and their work.  Clay and Phil offer up a great article here — one worth your time to read.  

The article made me reflect on what I’ve been building upon and tracking for the last decade — a next generation ***PLATFORM*** that I believe will represent a powerful piece of a global learning ecosystem. I call this vision, “Learning from the Living [Class] Room.” Though the artificial intelligence-backed platform that I’m envisioning doesn’t yet fully exist — this new era and type of learning-based platform ARE coming. The emerging signs, technologies, trends — and “fingerprints”of it, if you will — are beginning to develop all over the place.

Such a platform will:

  • Be aimed at the lifelong learner.
  • Offer up major opportunities to stay relevant and up-to-date with one’s skills.
  • Offer access to the program offerings from many organizations — including the mega-universities, but also, from many other organizations that are not nearly as large as the mega-universities.
  • Be reliant upon human teachers, professors, trainers, subject matter experts, but will be backed up by powerful AI-based technologies/tools. For example, AI-based tools will pulse-check the open job descriptions and the needs of business and present the top ___ areas to go into (how long those areas/jobs last is anyone’s guess, given the exponential pace of technological change).

Below are some quotes that I want to comment on:

Not nothing, but not the kind of environment that will produce an educational Amazon either, especially since the top 30 actually shrank by 0.2% a year.

 

Instead of an “Amazon vs. the rest” dynamic, online education is turning into something much more widely adopted, where the biggest schools are simply the upper end of a continuum, not so different from their competitors, and not worth treating as members of a separate category.

 

Since the founding of William and Mary, the country’s second college, higher education in the U.S. hasn’t been a winner-take-all market, and it isn’t one today. We are not entering a world where the largest university operates at outsized scale, we’re leaving that world; 

 

From DSC:
I don’t see us leaving that world at all…but that’s not my main reflection here. Instead, I’m not focusing on how large the mega-universities will become. When I speak of a forthcoming Walmart of Education or Amazon of Education, what I have in mind is a platform…not one particular organization.

Consider that the vast majority of Amazon’s revenues come from products that other organizations produce. They are a platform, if you will. And in the world of platforms (i.e., software), it IS a winner take all market. 

Bill Gates reflects on this as well in this recent article from The Verge:

“In the software world, particularly for platforms, these are winner-take-all markets.

So it’s all about a forthcoming platform — or platforms. (It could be more than one platform. Consider Apple. Consider Microsoft. Consider Google. Consider Facebook.)

But then the question becomes…would a large amount of universities (and other types of organizations) be willing to offer up their courses on a platform? Well, consider what’s ALREADY happening with FutureLearn:

Finally…one more excerpt from Clay’s article:

Eventually the new ideas lose their power to shock, and end up being widely copied. Institutional transformation starts as heresy and ends as a section in the faculty handbook. 

From DSC:
This is a great point. Reminds me of this tweet from Fred Steube (and I added a piece about Western Telegraph):

 

Some things to reflect upon…for sure.

 
 

From DSC:
First of all, a couple of articles:

This futuristic driverless pod will soon be delivering pizza in Texas — from digitaltrends.com by Trevor Mogg

Excerpt:

Global pizza purveyor Domino’s is planning to use self-driving pods to deliver its cheesy meals to hungry customers. The food company is partnering with California-based tech startup Nuro for a trial service in Houston, Texas later this year.

 

 

Amazon is creating detailed 3D models of suburbia to train its new delivery robots — from theverge.com by James Vincent
‘Eventually, we’ll be delivering around the world.’

 

 

From DSC:
Instead of Amazon having their army of robots/drones, Domino’s having their army of driverless pods, etc…perhaps we should think about how we want this all to unfold in the future — especially with an eye on what the world will be like for future generations.

 

“The company won’t say where or when it plans to expand these tests…”

 

From DSC:
It should NOT be Amazon’s decision (nor Domino’s decision, nor any other company’s decision) to expand any tests here! It should be up to citizens to weigh in on what we want our future to look like before any such endeavors are allowed to move forward another inch.

 

INSIGHT: Ten ways machine learning will transform the practice of law — from news.bloomberglaw.com by Caroline Sweeney
Law firms are increasingly using machine learning and artificial intelligence, which have become standard in document review. Dorsey & Whitney’s Caroline Sweeney says any firm that wants to stay competitive should get on board now and gives examples for use and best practices.

 

 

Are we there yet? Impactful technologies and the power to influence change — from campustechnology.com by Mary Grush and Ellen Wagner

Excerpt:

Learning analytics, augmented reality, artificial intelligence, and other new and emerging technologies seem poised to change the business of higher education — yet, we often hear comments like “We’re just not there yet…” or “This is a technology that is just too slow to adoption…” or other observations that make it clear that many people — including those with a high level of expertise in education technology — are thinking that the promise is not yet fulfilled. Here, CT talks with veteran education technology leader Ellen Wagner, to ask for her perspectives on the adoption of impactful technologies — in particular the factors in our leadership and development communities that have the power to influence change.

 

 

8 industrial IoT trends of 2019 that cannot be ignored — from datafloq.com

Excerpt:

From manufacturing to the retail sector, the infinite applications of the industrial internet of things are disrupting business processes, thereby improving operational efficiency and business competitiveness. The trend of employing IoT-powered systems for supply chain management, smart monitoring, remote diagnosis, production integration, inventory management, and predictive maintenance is catching up as companies take bold steps to address a myriad of business problems.

No wonder, the global technology spend on IoT is expected to reach USD 1.2 trillion by 2022. The growth of this segment will be driven by firms deploying IIoT solutions and giant tech organizations who are developing these innovative solutions.

To help you stay ahead of the curve, we have enlisted a few trends that will dominate the industrial IoT sphere.

 

5. 5G Will Drive Real-Time IIoT Applications
5G deployments are digitizing the industrial domain and changing the way enterprises manage their business operations. Industries, namely transportation, manufacturing, healthcare, energy and utilities, agriculture, retail, media, and financial services will benefit from the low latency and high data transfer speed of 5G mobile networks.

 

Going Beyond the Digital Diploma — from campustechnology.com by Sara Friedman

Excerpts:

“We see great opportunities with this platform to create a more streamlined approach to help with students transferring, receiving degrees, honoring requests to verify degrees and to admit new students and evaluate their transcripts,” said ECPI University CIO Jeff Arthur. “The ability to let someone hold all of their accomplishments on their phone and have them to share with anybody in a way that is secure and reliable — without having to chase down entities to verify — is attractive to us.”

College and university CIOs also hope that blockchain technology can help to streamline other administrative functions. For instance, the ability to transfer credits between institutions could be simplified, according to Arthur.

 

The next big leap for blockchain in the higher education space is likely to be the ability to put badges and certificates for technical skills on the chain. 

 

“We want to create a lifelong learning approach where people who want to represent their skills and experience can do so through a blockchain-based app,” said Callahan. 

 

 

 

‘Robots’ Are Not ‘Coming for Your Job’—Management Is — from gizmodo.com by Brian Merchant; with a special thanks going out to Keesa Johnson for her posting this out on LinkedIn

A robot is not ‘coming for’, or ‘stealing’ or ‘killing’ or ‘threatening’ to take away your job. Management is.

Excerpt (emphasis DSC):

At first glance, this might like a nitpicky semantic complaint, but I assure you it’s not—this phrasing helps, and has historically helped, mask the agency behind the *decision* to automate jobs. And this decision is not made by ‘robots,’ but management. It is a decision most often made with the intention of saving a company or institution money by reducing human labor costs (though it is also made in the interests of bolstering efficiency and improving operations and safety). It is a human decision that ultimately eliminates the job.

 

From DSC:
I’ve often said that if all the C-Suite cares about is maximizing profits — instead of thinking about their fellow humankind and society as a whole —  we’re in big trouble.

If the thinking goes, “Heh — it’s just business!” <– Again, then we’re in big trouble here.

Just because we can, should we? Many people should be reflecting upon this question…and not just members of the C-Suite.

 

 

 

Salesforce launches blockchain channel — from techradar.com Anthony Spadafora
Salesforce brings low-code blockchain to CRM

Excerpt:

At its fourth annual TrailheaDX developer conference, Salesforce announced its new low-code platform called Salesforce Blockchain that enables organizations to share verified, distributed data sets across a trusted network of partners and third parties.

By bringing blockchain to its CRM platform, the company is enabling organizations to create blockchain networks, workflows and apps that have the potential to deliver entirely new customer experiences.

 

Also see:

The D/SRUPTION Blockchain 50 — from disruptionhub.com

Excerpt:

What are the most impactful applications of blockchain in business?

Blockchain is changing how we keep records, manage relationships, and do business. Decentralised, automated systems powered by the blockchain increase the security of operations, as well as breaking down barriers to business by creating trust between diverse parties.

As the concept of blockchain becomes ever more familiar to business leaders, its real world applications are growing in number and impact.

In this exclusive report, D/SRUPTION analyses 50 game changing uses of blockchain technology in business. The range of industries featured include:

Shipping
Charity
Ecommerce
Real Estate
Finance
Government
Energy
Healthcare

Blockchain in Education

 

 

10 things we should all demand from Big Tech right now — from vox.com by Sigal Samuel
We need an algorithmic bill of rights. AI experts helped us write one.

We need an algorithmic bill of rights. AI experts helped us write one.

Excerpts:

  1. Transparency: We have the right to know when an algorithm is making a decision about us, which factors are being considered by the algorithm, and how those factors are being weighted.
  2. Explanation: We have the right to be given explanations about how algorithms affect us in a specific situation, and these explanations should be clear enough that the average person will be able to understand them.
  3. Consent: We have the right to give or refuse consent for any AI application that has a material impact on our lives or uses sensitive data, such as biometric data.
  4. Freedom from bias: We have the right to evidence showing that algorithms have been tested for bias related to race, gender, and other protected characteristics — before they’re rolled out. The algorithms must meet standards of fairness and nondiscrimination and ensure just outcomes. (Inserted comment from DSC: Is this even possible? I hope so, but I have my doubts especially given the enormous lack of diversity within the large tech companies.)
  5. Feedback mechanism: We have the right to exert some degree of control over the way algorithms work.
  6. Portability: We have the right to easily transfer all our data from one provider to another.
  7. Redress: We have the right to seek redress if we believe an algorithmic system has unfairly penalized or harmed us.
  8. Algorithmic literacy: We have the right to free educational resources about algorithmic systems.
  9. Independent oversight: We have the right to expect that an independent oversight body will be appointed to conduct retrospective reviews of algorithmic systems gone wrong. The results of these investigations should be made public.
  10. Federal and global governance: We have the right to robust federal and global governance structures with human rights at their center. Algorithmic systems don’t stop at national borders, and they are increasingly used to decide who gets to cross borders, making international governance crucial.

 

This raises the question: Who should be tasked with enforcing these norms? Government regulators? The tech companies themselves?

 

 

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