From the Paul Weiss Law Firm — back from 2019: A whitepaper re: cryptocurrency

Excerpt:

The development and growth of cryptocurrencies and blockchain technology has implications for many industries, including finance, media, and healthcare. In a series of papers, we will discuss the variety of ways in which cryptocurrencies and blockchains are being used in different fields. This paper, the first in our series of three papers, discusses cryptocurrencies, including how they operate in conjunction with the blockchain and how Bitcoin, the first major cryptocurrency, compares to traditional, fiat currencies.

Cash vs Bitcoin -- a comparison

From DSC:
How might the development of cryptocurrencies integrate in with a next-gen learning platform? Would teams and/or individuals get paid via a cryptocurrency? Hmmm…more learning to do.

It’s interesting to note what Bitcoin (BTC-USD) was trading at in 2017, 2018, and 2019 versus today:

  • In 2017 alone, Bitcoin’s price rose from $973 in January to $5,856 in October, and skyrocketed towards $20,000 by year end.
  • By February 2018, however, Bitcoin had fallen below $7,600.
  • In June 2019, Bitcoin’s price rose to approximately $10,000.

Today:

The huge price increase of Bitcoin -- BTC-USD -- in the last three years

Here’s what some of the other cryptocurrencies were trading at today:

 

From DSC:
From my perspective, both of the items below are highly-related to each other:

Let’s Teach Computer Science Majors to Be Good Citizens. The Whole World Depends on It. — from edsurge.com by Anne-Marie Núñez, Matthew J. Mayhew, Musbah Shaheen and Laura S. Dahl

Excerpt:

Change may need to start earlier in the workforce development pipeline. Undergraduate education offers a key opportunity for recruiting students from historically underrepresented racial and ethnic, gender, and disability groups into computing. Yet even broadened participation in college computer science courses may not shift the tech workforce and block bias from seeping into tech tools if students aren’t taught that diversity and ethics are essential to their field of study and future careers.

Computer Science Majors Lack Citizenship Preparation
Unfortunately, those lessons seem to be missing from many computer science programs.

…and an excerpt from Why AI can’t really filter out “hate news” — with thanks to Sam DeBrule for this resource (emphasis DSC):

The incomprehensibility and unexplainability of huge algorithms
Michael Egnor: What terrifies me about artificial intelligence — and I don’t think one can overstate this danger — is that artificial intelligence has two properties that make it particularly deadly in human civilization. One is concealment. Even though every single purpose in artificial intelligence is human, it’s concealed. We don’t really understand it. We don’t understand Google’s algorithms.

There may even be a situation where Google doesn’t understand Google’s algorithms. But all of it comes from the people who run Google. So the concealment is very dangerous. We don’t know what these programs are doing to our culture. And it may be that no one knows, but they are doing things.

Note:Roman Yampolskiy has written about the incomprehensibility and unexplainability of AI: “Human beings are finite in our abilities. For example, our short term memory is about 7 units on average. In contrast, an AI can remember billions of items and AI capacity to do so is growing exponentially. While never infinite in a true mathematical sense, machine capabilities can be considered such in comparison with ours. This is true for memory, compute speed, and communication abilities.” So we have built-in bias and incomprehensibility at the same time.

From DSC:
That part about concealment reminds me that our society depends upon the state of the hearts of the tech leaders. We don’t like to admit that, but it’s true. The legal realm is too far behind to stop the Wild West of technological change. The legal realm is trying to catch up, but they’re coming onto the race track with no cars…just as pedestrians walking or running as fast as they can….all the while, the technological cars are whizzing by. 

The pace has changed significantly and quickly

 

The net effect of all of this is that we are more dependent upon the ethics, morals, and care for their fellow humankind (or not) of the C-Suites out there (especially Facebook/Meta Platforms, Google, Microsoft, Amazon, Google, and Apple) than we care to admit. Are they producing products and services that aim to help our societies move forward, or are they just trying to make some more bucks? Who — or what — is being served?

The software engineers and software architects are involved here big time as well. “Just because we can doesn’t mean we should.” But that perspective is sometimes in short supply.

 

Why Aren’t Professors Taught to Teach? — from techlearning.com by Erik Ofgang
Professors are experts in their subject matters but many have limited training in actually teaching their students.

Excerpt:

“A lot of faculty are just modeling their instruction after the instruction they’ve received as an undergraduate or graduate student,” says Tanya Joosten, senior scientist and director of digital learning at University of Wisconsin-Milwaukee and the lead of the National Research Center for Distance Education and Technological Advancements.

As a perpetually short-on-time adjunct professor, I understand those who worry about mandatory training and required course reviews, but Pelletier stresses that she’s advocating for a more organic shift and that a top-down approach isn’t best. “That’s not as collaborative and generative as really just embracing that we have these two different kinds of experts, one type of expert is an expert in their subject, and the other expert is an expert in teaching and learning,” she says. More attention is needed to meld these two kinds of expertise. 

From DSC:
It’s not just that colleges and universities are big business — if you have any remaining doubts about that perspective, take a moment to look at this new, interactive database to see what I mean. But it’s also that this type of business often rewards research, not teaching. And yet the students over the last several decades have continued to pay ever-increasing prices for skilled researchers, instead of increasingly skilled teachers. 

Healthcare and higher education face similar challenges and transformations -- costs continue to soar

Image from Inside Higher Ed

 

Would people put up with this with other types of purchases? I don’t think so. I wouldn’t want to…would you?  Would we like to pay for something that we aren’t getting — like paying for all the extra options on a new car, but not getting them?

What goes around, comes around.
But by allowing this to have occurred, a backlash against the value of higher education has been building for years now. In many learners’ minds, they are questioning whether it’s worth taking on (potentially) decades’ worth of debt. At a minimum, the higher the price of obtaining degrees and/or other credentials becomes, the less Return on Investment (ROI) is realized by the learners (i.e., the purchasers of these goods and services). So while getting a degree is often still worth it, the ROI is going down.
And this doesn’t address how relevant/up-to-date the educations are that these learners are receiving, which the employers out there will take issue with.

From an Instructional Designer’s perspective, it isn’t just time that’s the issue here. There continues to exist a tiered hierarchy within higher education. Faculty see themselves as more knowledgeable because they are teaching and because they are the Subject Matter Experts (SMEs). But they are not expert teachers. Many full-time faculty members don’t listen to people who are knowledgeable in the learning science world, and they often don’t value that expertise. (This can be true of administrators as well.) But when a fellow faculty member (i.e., their “true peer” from their perspective) suggests the same idea that Instructional Designers have been recommending for years, they suddenly open their eyes and ears to see and hear this seemingly new, wonderful approach.

Some possible scenarios
Thus, a wave has been building against traditional institutions of higher education — readers of this blog will have picked up on this years ago. Once alternatives significantly hit the radar — ones that get the learners solid, good-paying jobs — there could be a mass exodus out of what we think of as traditional higher education. At least that’s one potential scenario.

For example, if a next-generation learning platform comes along that offers teams and individuals the ability to deliver lifelong learning at 50% or more off the price of an average degree, then be on the lookout for massive change. If professors and/or teams of specialists — those who are skilled in instructional design and teaching —  can go directly to their learners — it could be an interesting world indeed. (Outschool is like this, by the way.) In that scenario, below are two potential methods of providing what accreditation agencies used to provide:

  • Obtaining the skills and competencies being requested from the workplace to “pass the tests” (whatever those assessments turn out to be)
  • Voting a course up or down (i.e., providing crowd-sourced rating systems)

Other possible scenarios
Another scenario is that traditional institutions of higher education really kick their innovation efforts into high gear. They reward teaching. They develop less expensive methods of obtaining degrees. They truly begin delivering more cost-effective means of obtaining lifelong learning and development “channels” for educating people.

And there are other possible scenarios, some of which I could think of and many I would likely miss. But to even ask the solid and highly-relevant question as plainly stated in the article above — Why Aren’t Professors Taught to Teach? — that is something that must be dealt with. Those organizations that use a team-based approach are likely to be able to better answer and address that question.

 

Autumn Pumpkin Spice Latte –from Tatiana Goskova out at 500px.com

Autumn Pumpkin Spice Latte --from Tatiana Goskova out at 500px.com

The Old Barn in Frost and Fire — by Jørn Allan Pedersen out at 500px.com

The Old Barn in Frost and Fire -- by Jørn Allan Pedersen out at 500px.com

 
 

From DSC:
I was reading about a Ph.D. who was currently doing some research into the science of learning. This person had been teaching in a School of Education for years, but just (relatively) recently embarked on a Ph.D. During this person’s research, they came across a lot more information regarding the science of learning.

If this was true with someone who had been in education for years (and I can relate to that as well), it made me wonder:

  • How can we better get the word out to our learners re: how they can maximize their Return On Investment (ROI) from their studying time and efforts…?

Then I thought, why couldn’t we put these tips directly into our banners on our CMS’s and LMS’s and/or link our banners to some other web pages/resources that provide such best practices and tips for our learners!?!  This could occur within the corporate training world as well.

Examples:

Let's put best practices on studying directly within our LMSs banners!

Or we could link to resources regarding best practices in studying!

Along these lines, we should have 11×17 (or larger) posters like this plastered in every hallway of every learning space out there:

 

We should plaster these types of posters throughout our learning spaces!!!

 

2022 Top 10 IT Issues -- from Educause

2022 Top 10 IT Issues

 

From DSC:
Time will tell which institutions have the prerequisite culture of innovation that will help reinvent themselves, stay relevant, and survive. 

And for people (who have worked in higher education for years) who don’t like to see learners as customers…well…when those learners are often paying $100,000-$250,000 or more for a four-year degree, those folks don’t have much say or credibility any longer. The price increases that they never stepped in to stop from occurring have forever changed the learning ecosystems within higher education. The idea of supporting  the perspective that says:

Well, we’re proud (and content) that our institution will have the lowest price increase in X (where X is a city, state,  or geographic region)
or
We’re proud that our institution will have the lowest price increase within our group of similar/comparative institutions.

…well, that type of perspective hasn’t cut it for years now. But the danger of that status quo perspective is only becoming apparent to many now that one’s very survival is at stake.


Addendum/also see:


 

 

Along these lines, also see:

From DSC:
Again, this is the type of thing that would be very helpful to learn about in high school.

 

DC: This should be very interesting to see how this plays out in the future! A real-time, holographic collaboration solution called “Webex Hologram.” 

#Cisco #holographic #remotework #collaboration

 

An excerpt from Eva Keiffenheim’s Learn Letter re: A New Education Paradigm (emphasis DSC)

Here are a couple of underlying assumptions within our current education paradigm:

  • assessment through standardized testing and grades
  • outcome-focus on academic achievements
  • the purpose of education is to produce future workforce
  • teachers and professors are the unique source of knowledge
  • an inherent dominance (adults > children; professionals > students)
  • lectures and listening are a valid form of learning
  • subjects exist in hierarchies (math, languages > art, music)
  • content should be delivered in discrete subjects

I invite you to question the current paradigm: How would schools and universities look like so that all young people can flourish?


From DSC:
Eva’s reflections remind me of what I was trying to say the other day about how ideas start out as fragile…but if they take hold, they become very powerful. Today’s education paradigms are a great example of that. These paradigms have deep roots that are very hard to change.

Ideas start out fragile...but if they take root, they grow to be very strong.


 

 
 

jobtensor.com/uk <– an AI job board from the UK — with thanks to Dr. Jakob Sidoruk for this resource.

From DSC:
Jakob mentioned that Jobtensor has built a tool for jobs in tech, science and engineering and that the goal of this tool is to make job searches more fun and efficient for job seekers. I’m glad to see this from the other side of the table. That is, there have been plenty Applicant Tracking Systems (ATSs) out there that have essentially weeded people out time and again — while making many job searches long, expensive, and emotionally draining. 

jobtensor.com/uk -- an AI job board from the UK

jobtensor.com/uk -- an AI job board from the UK


From DSC:
It is exactly this kind of tool that could — and should — be integrated into a next-generation learning platform. Have an AI-enabled system of identifying the most current needs out in the workplace. Provide a mechanism/listing of those needs along with the existing courses, streams of content, podcasts, and more that could help someone learn those skills.

Learning from the living class room

streams of content are ever flowing by -- we need to tap into them and contribute to them


 

From DSC:
The articles below made me wonder…what will lawyers, judges, and legislators need to know about Bitcoin, Ethereum, and other cryptocurrencies? (#EmergingTechnologies)

 

Why inexperienced workers can’t get entry-level jobs — from bbc.com by Kate Morgan; with thanks to Ryan Craig for this resource

Excerpt:

As anyone who’s graduated from university or applied for their first job in recent years can attest to, something new – and alarming – has happened to entry-level jobs: they’ve disappeared.

A recent analysis of close to 4 million jobs posted on LinkedIn since late 2017 showed that 35% of postings for “entry-level” positions asked for years of prior relevant work experience. That requirement was even more common in certain industries. More than 60% of listings for entry-level software and IT Services jobs, for instance, required three or more years of experience. In short, it seems entry-level jobs aren’t for people just entering the workforce at all.

“Internships are now the entry level,” he says. “Most of the students in college are doing or trying to do internships, and now it’s increasingly common to do more than one.”

From DSC:
I love the idea of internships. (In my days in college, internships were reserved mainly for engineers; few of us had them back then.)

But with an eye on the cost of obtaining a degree, internships should be PAID internships. That is, interns should receive decent/proper compensation. I’m concerned that businesses will take advantage of free labor here (though that’s less likely given the tight labor market I suppose). But businesses have taken advantage of free labor in the past. “It takes a village…”

Also see:

 
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