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 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.
Excerpt from “Use of digital technologies in judicial reform and access to justice cooperation — from HiiL (The Hague Institute for Innovation of Law)
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.
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:
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.
Also see Matthew Ball’s Metaverse Primer (excerpt below from this page) — with thanks to Annie Zhang for this resource:
“The Metaverse is a massively scaled and interoperable network of real-time rendered 3D virtual worlds which can be experienced synchronously and persistently by an effectively unlimited number of users with an individual sense of presence, and with continuity of data, such as identity, history, entitlements, objects, communications, and payments.”
Jacob Navok: Computing and Network Needs of the Metaverse — from hellometaverse.fm by Annie Zhang
Excerpt:
to progress towards this vision of the metaverse, jacob is focused on tackling the hard problem of improving concurrency. how do you get millions of people to concurrently be participating and interacting in one live experience with no lag?
he breaks this down the problem into two components:
limitations of the traditional network to handle multiplayer experiences: coordinating, say, positional data of where you and all the other players in a game, gets very complicated, especially when latency needs to be low. meaning, if you want to see everything that everyone is doing at all times, coordinating the traffic of that data is very difficult
with more connection, internet speed slows: the internet was not built for true real time communication, but rather optimized for cost and routing efficiency. when you load a fb page, it’s okay if it takes 10 milliseconds, but when you are in a shooting game, a delay of 10 milliseconds is a matter of life or death
Everything You Need To Know About The Metaverse — from protocol.com by Janko Roettgers
Excerpt:
Silicon Valley has a new favorite buzzword: Ever since Mark Zuckerberg announced earlier this year that Facebook’s future would be in the metaverse, everyone has been rushing to figure out what a metaverse even is. And when Facebook rebranded as Meta in October, metaverse fever swept the tech industry. From Microsoft to Nvidia, every company is suddenly in the metaverse business, and seemingly overnight, countless people became metaverse experts.
But what actually is the metaverse? Why does it matter, and who needs to worry about it? If the metaverse is truly “the next chapter for the internet,” as Zuckerberg put it, it’s important to understand and define it so as not to be caught flat-footed when (or if) the metaverse wave catches on.
How to Support Students and Families through Technology and Innovation — from thejournal.com by Jeremy Davis
Excerpt:
Here are just a few district-wide innovations that resulted from the pandemic:
DC: Which reminds me of this idea/graphic:
NVIDIA OMNIVERSE: Creating and Connecting Virtual Worlds
A NEW ERA OF 3D DESIGN COLLABORATION AND SIMULATION
NVIDIA Omniverse™ is an easily extensible, open platform built for virtual collaboration and real-time physically accurate simulation. Creators, designers, researchers, and engineers can connect major design tools, assets, and projects to collaborate and iterate in a shared virtual space. Developers and software providers can also easily build and sell Extensions, Apps, Connectors, and Microservices on Omniverse’s modular platform to expand its functionality.
Also see:
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:
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:
Along these lines, we should have 11×17 (or larger) posters like this plastered in every hallway of every learning space out there:
Adaptive and Personalized Learning Experiences — from learningguild.com by Chad Udell and Jennifer Murphy
Excerpts:
LinkedIn rolls out its freelance services marketplace globally after picking up 2M users in smaller US beta — from techcrunch.com by Ingrid Lunden
Excerpt:
LinkedIn, the Microsoft-owned platform for those connecting with others in their fields of work and those looking for work, has been known best in recruitment for sourcing candidates and advertising job openings for permanent work. Now, to complement that, LinkedIn is opening up a new front in the job market for freelancers.
Today it is taking the wraps off its Service Marketplace, a new feature that will let people advertise themselves for short-term engagements to those looking to hire people for such roles, competing against the likes of Fiverr and Upwork for sourcing skilled knowledge workers.
Can MasterClass teach you everything? — from newyorker.com by Tad Friend
Malala Yousafzai on set. Though the site’s C.E.O., David Rogier, says, “Learning is uncomfortable,” the shoots are lavish. Photograph by Lewis Khan for The New Yorker
Excerpt:
When MasterClass launched, in 2015, it offered three courses: Dustin Hoffman on acting, James Patterson on writing, and Serena Williams on tennis. Today, there are a hundred and thirty, in categories from business to wellness. During the pandemic lockdown, demand was up as much as tenfold from the previous year; last fall, when the site had a back-to-school promotion, selling an annual subscription for a dollar instead of a hundred and eighty dollars, two hundred thousand college students signed up in a day. MasterClass will double in size this year, to six hundred employees, as it launches in the U.K., France, Germany, and Spain. It’s a Silicon Valley investor’s dream, a rolling juggernaut of flywheels and network effects dedicated to helping you, as the instructor Garry Kasparov puts it, “upgrade your software.”
