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.

 

 

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.

 

 

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.

 

Russian hackers behind ‘world’s most murderous malware’ probing U.S. power grid — from digitaltrends.com Georgina Torbet

 

U.S. Escalates Online Attacks on Russia’s Power Grid — from nytimes.com by David Sanger and Nicole Perlroth

 

 

 

 

 

Choice -> Ownership -> Empowerment -> Deeper Learning — from AJ Juliani

Excerpt (emphasis DSC):

Students continue to fall into the same trap year after year with traditional schooling. They rarely have a chance to choose their learning path in school, and routinely treat school like a “job” instead of the most valuable learning experience they will ever have…

By the time students get to high school, over 83% are stressed out, [and] 67% say they are bored half the time, and many learn to “play the game of school” worrying about what will happen to them if they do not get a particular grade and get into a specific college.

What we end up with are students who are never given a chance to explore their own interests in school, who end up confused about what they want to do with their future because they continue to march down a path that has been chosen for them for 12 years. Many of these students end up getting jobs in fields they think are “safe” or “practical” but don’t have a personal connection or interest to the work they are doing.

 

Choice in what content our students consume, what activities they take on in and out of school, what assessments they take, and choice in their purpose for learning.

Choice drives student ownership of their learning, which kicks engagement into high-gear, and ultimately leads to learning that is intrinsic and powerful and deep.

 

From DSC:
Our son has become a game-player. He knows just what he needs to get that A. No more, nor less. He doesn’t care about learning. And he is tired of getting information crammed down his throat. Information he doesn’t care about…at all. Since 10th grade, he has become disengaged.

Next year (for his senior year of H.S.), he is heading to studying what he wants to study — acting. Although it will be very difficult, I think he will blossom. He will become fully engaged…because he’s doing what he chooses to do.

 

 

 

 

 

From DSC:
As many times happens with humans use of technologies, some good and some bad here. Exciting. Troubling. Incredible. Alarming.

Companies, please make sure you’re not giving the keys to a $137,000, powerful Maserati to your “16 year olds.”

Just because we can…

And to you “16 year olds out there”…ask for / seek wisdom. Ask yourself whether you should be developing what you are developing. Is it helpful or hurtful to society? Don’t just collect the paycheck. You have a responsibility to humankind.

To whom much is given…

 

Facial recognition smart glasses could make public surveillance discreet and ubiquitous — from theverge.com by James Vincent; with thanks to Mr. Paul Czarapata, Ed.D. out on Twitter for this resource
A new product from UAE firm NNTC shows where this tech is headed next. <– From DSC: though hopefully not!!!

Excerpt:

From train stations and concert halls to sport stadiums and airports, facial recognition is slowly becoming the norm in public spaces. But new hardware formats like these facial recognition-enabled smart glasses could make the technology truly ubiquitous, able to be deployed by law enforcement and private security any time and any place.

The glasses themselves are made by American company Vuzix, while Dubai-based firm NNTC is providing the facial recognition algorithms and packaging the final product.

 

From DSC…I commented out on Twitter:

Thanks Paul for this posting – though I find it very troubling. Emerging technologies race out ahead of society. It would be interested in knowing the age of the people developing these technologies and if they care about asking the tough questions…like “Just because we can, should we be doing this?”

 

Addendum on 6/12/19:

 

Has Technology Made State Regional Universities Obsolete? — from campustechnology.com by Richard Rose
While SRUs do some things well, the current model is not sustainable, with students taking on enormous debt and receiving relatively little income benefit in return. Here’s how technology can help change the equation.

Excerpts (emphasis DSC):

What if the State Board of Higher Education assembled a team to create one exceptionally fine Official Texas Version of the sophomore Western Civilization course? The team would include brilliant subject-matter experts, the best graphic artists, senior instructional designers, professional film editors and sharp-eyed text editors, who could produce a 48-clock-hour video course of previously unimaginable quality.

When technology is fully embraced because the need for a better and cheaper product finally trumps the political protection of the status quo, the state regional university will be replaced as part of new state university systems in which local institutions will play a very different role. These new local institutions could be called Learning Satellite Centers (LSCs).

Much content will take the form of high-budget, high-quality multimedia productions with delivery available to all popular devices, from desktop computers to cell phones. Access to learning materials, from course movies and podcasts to reading materials, will be through an expanded electronic distribution system that will eliminate the need for paper-based academic libraries.

The goal of the University Center plus Learning Satellite Center model is to transfer agency back into the hands of the students, where it belongs. No longer will a self-appointed privileged group of professional academics with their arcane degrees and funny ceremonial robes be dictating to the rest of society what we all need to learn and how we need to learn it. Technology will be the great leveler and the marketplace will help individual students decide what choices are best.

Of course, a brief sketch like this one will raise many questions that cannot be explored in a single article, but the conversation must begin. The current State Regional University is not sustainable and can only be propped up by politics and sentiment for so long. Too many students are piling up huge debt to earn dubious degrees that don’t lead to marketable skills or significant economic benefits. Technology has made more effective models of higher education attainable and at a lower price. We need to fearlessly explore such models before our charming old regional campuses drift into irrelevance.

 

From DSC:
While the article has a bit of a bite to it (which I suppose readers of this blog would say they might see in my writings/comments as well from time to time), THIS is the kind of innovative, creative thinking that will get us somewhere. I really appreciate Richard’s article and the deep thought he was put into this topic.

In fact, as readers of this blog will know, I have long been a supporter of a TEAM-BASED approach. And listed below are some graphics that prove it — as well as this article I wrote for evolllution.com (where the “lll” stands for lifelong learning) back from 2016.

This page* lists those graphics plus the list of team members that I thought of in December 2008:

  • Subject Matter Experts
  • Instructional Designers
  • Project Managers
  • Recruiters
  • Legal Counsel
  • Researchers / Mind Experts
  • Digital Audio Specialists
  • Digital Video Specialists
  • Streaming Media Experts
  • Mobile Learning Consultants
  • Writers and Editors 
  • Programmers and Database Specialists 
  • Web Design and Production Specialists
  • Interactivity Designers
  • Multimedia Specialists including Multi-Touch Experts/Programmers
  • 3D / 2D Graphic Designers and/or Animators
  • MindMappers / Visual Learning Experts
  • Personalized Learning Consultants
  • Security Experts
  • The students themselves
  • Other

*BTW, I renamed this idea from the Forthcoming Walmart of Education
to the Forthcoming Amazon.com of Higher Education

 

.

While I’m at it…below are a couple of ideas that I documented back in 2009 that Richard might like…

 

.

As of today…I would simplify that last graphic to
include a subscription model to streams of content.

 

Ok…one more graphic from 5/21/09 that describes what I thought would happen if institutions of traditional higher education maintained the status quo through the years. I feel pretty good about how these predictions turned out, but I wish that we would have made even more progress along these lines than we have (since the time I created this graphic).

 

 

 

 

We Built an ‘Unbelievable’ (but Legal) Facial Recognition Machine — from nytimes.com by Sahil Chinoy

“The future of human flourishing depends upon facial recognition technology being banned,” wrote Woodrow Hartzog, a professor of law and computer science at Northeastern, and Evan Selinger, a professor of philosophy at the Rochester Institute of Technology, last year. ‘Otherwise, people won’t know what it’s like to be in public without being automatically identified, profiled, and potentially exploited.’ Facial recognition is categorically different from other forms of surveillance, Mr. Hartzog said, and uniquely dangerous. Faces are hard to hide and can be observed from far away, unlike a fingerprint. Name and face databases of law-abiding citizens, like driver’s license records, already exist. And for the most part, facial recognition surveillance can be set up using cameras already on the streets.” — Sahil Chinoy; per a weekly e-newsletter from Sam DeBrule at Machine Learnings in Berkeley, CA

Excerpt:

Most people pass through some type of public space in their daily routine — sidewalks, roads, train stations. Thousands walk through Bryant Park every day. But we generally think that a detailed log of our location, and a list of the people we’re with, is private. Facial recognition, applied to the web of cameras that already exists in most cities, is a threat to that privacy.

To demonstrate how easy it is to track people without their knowledge, we collected public images of people who worked near Bryant Park (available on their employers’ websites, for the most part) and ran one day of footage through Amazon’s commercial facial recognition service. Our system detected 2,750 faces from a nine-hour period (not necessarily unique people, since a person could be captured in multiple frames). It returned several possible identifications, including one frame matched to a head shot of Richard Madonna, a professor at the SUNY College of Optometry, with an 89 percent similarity score. The total cost: about $60.

 

 

 

 

From DSC:
What do you think about this emerging technology and its potential impact on our society — and on other societies like China? Again I ask…what kind of future do we want?

As for me, my face is against the use of facial recognition technology in the United States — as I don’t trust where this could lead.

This wild, wild, west situation continues to develop. For example, note how AI and facial recognition get their foot in the door via techs installed years ago:

The cameras in Bryant Park were installed more than a decade ago so that people could see whether the lawn was open for sunbathing, for example, or check how busy the ice skating rink was in the winter. They are not intended to be a security device, according to the corporation that runs the park.

So Amazon’s use of facial recognition is but another foot in the door. 

This needs to be stopped. Now.

 

Facial recognition technology is a menace disguised as a gift. It’s an irresistible tool for oppression that’s perfectly suited for governments to display unprecedented authoritarian control and an all-out privacy-eviscerating machine.

We should keep this Trojan horse outside of the city. (source)

 

 

Addendum on 4/20/19:

Amazon is now making its delivery drivers take selfies — from theverge.com by Shannon Liao
It will then use facial recognition to double-check

From DSC:
I don’t like this piece re: Amazon’s use of facial recognition at all. Some organization like Amazon asserts that they need facial recognition to deliver services to its customers, and then, the next thing we know, facial recognition gets its foot in the door…sneaks in the back way into society’s house. By then, it’s much harder to get rid of. We end up with what’s currently happening in China. I don’t want to pay for anything with my face. Ever. As Mark Zuckerberg has demonstrated time and again, I don’t trust humankind to handle this kind of power. Plus, the developing surveillance states by several governments is a chilling thing indeed. China is using it to identify/track Muslims.

China using AI to track Muslims

Can you think of some “groups” that people might be in that could be banned from receiving goods and services? I can. 

The appalling lack of privacy that’s going on in several societies throughout the globe has got to be stopped. 

 

 

The Growing Profile of Non-Degree Credentials: Diving Deeper into ‘Education Credentials Come of Age’ — from evolllution.com by Sean Gallagher
Higher education is entering a “golden age” of lifelong learning and that will mean a spike in demand for credentials. If postsecondary institutions want to compete in a crowded market, they need to change fast.

Excerpts (emphasis DSC):

One of the first levels of opportunity is simply embedding the skills that are demanded in the job market into educational programs. Education certainly has its own merits independent of professional outcomes. But critics of higher education who suggest graduates aren’t prepared for the workforce have a point in terms of the opportunity for greater job market alignment, and less of an “ivory tower” mentality at many institutions. Importantly, this does not mean that there isn’t value in the liberal arts and in broader ways of thinking—problem solving, leadership, critical thinking, analysis, and writing are among the very top skills demanded by employers across all educational levels. These are foundational and independent of technical skills.

The second opportunity is building an ecosystem for better documentation and sharing of skills—in a sense what investor Ryan Craig has termed a “competency marketplace.” Employers’ reliance on college degrees as relatively blunt signals of skill and ability is partly driven by the fact that there aren’t many strong alternatives. Technology—and the growth of platforms like LinkedIn, ePortfolios and online assessments—is changing the game. One example is digital badges, which were originally often positioned as substitutes to degrees or certificates.

Instead, I believe digital badges are a supplement to degrees and we’re increasingly seeing badges—short microcredentials that discretely and digitally document competency—woven into degree programs, from the community college to the graduate degree level.

 

However, it is becoming increasingly clear that the market is demanding more “agile” and shorter-form approaches to education. Many institutions are making this a strategic priority, especially as we read the evolution of trends in the global job market and soon enter the 2020s.

Online education—which in all its forms continues to slowly and steadily grow its market share in terms of all higher ed instruction—is certainly an enabler of this vision, given what we know about pedagogy and the ability to digitally document outcomes.

 

In addition, 64 percent of the HR leaders we surveyed said that the need for ongoing lifelong learning will demand higher levels of education and more credentials in the future.

 

Along these lines of online-based collaboration and learning,
go to the 34 minute mark of this video:

 

From DSC:
The various pieces are coming together to build the next generation learning platform. Although no one has all of the pieces yet, the needs/trends/signals are definitely there.

 

Daniel Christian-- Learning from the Living Class Room

 

Addendums on 4/20/19:

 

 


Example articles from the Privacy Project:

  • James Bennet: Do You Know What You’ve Given Up?
  • A. G. Sulzberger: How The Times Thinks About Privacy
  • Samantha Irby: I Don’t Care. I Love My Phone.
  • Tim Wu: How Capitalism Betrayed Privacy

 

 

Five Principles for Thinking Like a Futurist — from er.educause.edu by Marina Gorbis

Excerpt:

In 2018 we celebrated the fifty-year anniversary of the founding of the Institute for the Future (IFTF). No other futures organization has survived for this long; we’ve actually survived our own forecasts! In these five decades we learned a lot, and we still believe—even more strongly than before—that systematic thinking about the future is absolutely essential for helping people make better choices today, whether you are an individual or a member of an educational institution or government organization. We view short-termism as the greatest threat not only to organizations but to society as a whole.

In my twenty years at the Institute, I’ve developed five core principles for futures thinking:

  • Forget about predictions.
  • Focus on signals.*
  • Look back to see forward.
  • Uncover patterns.*
  • Create a community.

 

* From DSC:
I have a follow up thought regarding those bullet points about signals and patterns. With today’s exponential pace of technological change, I have asserted for several years now that our students — and all of us really — need to be skilled in pulse-checking the relevant landscapes around us. That’s why I’m a big fan of regularly tapping into — and contributing towards — streams of content. Subscribing to RSS feeds, following organizations and/or individuals on Twitter, connecting with people on LinkedIn, etc. Doing so will help us identify trends, patterns, and the signals that Marina talks about in her article.

It reminds me of the following graphic from January 2017:

 

Bad bargain: Why we still ask kids to factor polynomials and how we fix it — from gettingsmart.com by Tom Vander Ark

Excerpt:

OK, we cut a bad deal 20 years ago and it’s time to fix it.

Kids are still factoring polynomials and that’s just dumb. Requiring every student to pass a course on regurgitated symbol manipulation (Algebra 2) is torturous for many students and why some dropout. It’s an inequitable barrier to college and careers.

“The tragedy of high school math,” said venture investor and education advocate Ted Dintersmith (who has a Ph.D. in math modeling), “is that less than 20% of adults ever use algebra. No adult in America still does integrals and derivatives by hand – the calculus that blocks so many from career paths. It remains in the curriculum because it’s easy to test, not important to learn.”

Math educator Dan Meyer told the We’re Doing It All Wrong Podcast that algebra 2 is “arcane gibberish…not useful knowledge”…

Now, rather than the plug and crank of symbol manipulation, we should be teaching computational thinking. As mathematician Conrad Wolfram said, we should be teaching math as if computers existed.

Rather than a separate symbol language, Wolfram argues, math should be taught as computational thinking and integrated across the curriculum. That starts with problem finding–spotting big tough problems worth working on. Next comes understanding the problems and valuables associated–that’s algebraic reasoning. But rather than focusing on computation (including factoring those nasty polynomials), students should be building data sets and using computers to do what they’re good at–calculations.

To fix the problem, states that require Algebra 2 should swap it out for a course in coding and computational thinking. Colleges and college entrance exams should drop Algebra 2 requirements. They should start by asking young people about their contributions to solving big problems.

 

From DSC:
This posting reminded me that, just the other day, I took the picture below…it’s outside a local mall. The annotated picture below gives you some of my thoughts on this ridiculous setup. 

 

Are some of our educational systems setup like this stop sign outside an abandoned, old store that's no longer being used?!

 

 

 
© 2025 | Daniel Christian