One Year Later . . . and Counting: Reflections on Emergency Remote Teaching and Online Learning — from er.educause.edu by Stephanie Moore, Torrey Trust, Barb Lockee, Aaron Bond and Charles Hodges

Excerpts (emphasis DSC):

Colleges with significant previous investments in online education, and ones that have worked to embed that experience into the campus’s mainstream, have seen the biggest jumps in enrollment.” In asking the question “When should a college invest heavily in online education?,” Hill concluded: “It seems increasingly clear that the answer is: at least a decade ago.” A view from “one year later” must include consideration of what college and university leaders chose to do years ago, when the decisions that created this reinforcing feedback loop were made.

Then there are the colleges and universities that resisted online learning for years or invested only in very isolated instances. These institutions were less prepared and suffered steeper enrollment and budget declines than their counterparts.

Aesop’s fable “The Oak and the Reeds” offers us ancient wisdom. In the story, the Oak mocks the Reeds that bend in the breezes. But when hit by a hurricane, the Reeds flex with the wind and survive while the Oak is beaten and broken. Some colleges and universities were more like the Oak, stubbornly resisting and finding that they could not resist the hurricane that was the pandemic. Other institutions proved more like the Reeds and were more agile in the winds, allowing flexibility and survival during a time of crisis.

 

 

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.

 

Timnit Gebru Says Artificial Intelligence Needs to Slow Down — from wired.com by Max Levy
The AI researcher, who left Google last year, says the incentives around AI research are all wrong.

Excerpt:

ARTIFICIAL INTELLIGENCE RESEARCHERS are facing a problem of accountability: How do you try to ensure decisions are responsible when the decision maker is not a responsible person, but rather an algorithm? Right now, only a handful of people and organizations have the power—and resources—to automate decision-making.

Since leaving Google, Gebru has been developing an independent research institute to show a new model for responsible and ethical AI research. The institute aims to answer similar questions as her Ethical AI team, without fraught incentives of private, federal, or academic research—and without ties to corporations or the Department of Defense.

“Our goal is not to make Google more money; it’s not to help the Defense Department figure out how to kill more people more efficiently,” she said.

From DSC:
What does our society need to do to respond to this exponential pace of technological change? And where is the legal realm here?

Speaking of the pace of change…the following quote from The Future Direction And Vision For AI (from marktechpost.com by Imtiaz Adam) speaks to massive changes in this decade as well:

The next generation will feature 5G alongside AI and will lead to a new generation of Tech superstars in addition to some of the existing ones.

In future the variety, volume and velocity of data is likely to substantially increase as we move to the era of 5G and devices at the Edge of the network. The author argues that our experience of development with AI and the arrival of 3G followed by 4G networks will be dramatically overshadowed with the arrival of AI meets 5G and the IoT leading to the rise of the AIoT where the Edge of the network will become key for product and service innovation and business growth.

Also related/see:

 

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:

  1. 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

  2. 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.

 

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:

 

College costs have increased by 169% since 1980—but pay for young workers is up by just 19%: Georgetown report — from cnbc.com by Abigail Johnson Hess

Excerpt:

The report, titled “If Not Now, When? The Urgent Need for an All-One-System Approach to Youth Policy,” breaks down seven trends that have made it difficult for workers to transition from education to the workforce since 1980.

“Postsecondary education policy has failed to keep higher education affordable even as formal education beyond high school has become more essential,” reads the report. “Today, two out of three jobs require postsecondary education and training, while three out of four jobs in the 1970s required a high school diploma or less. Yet while young people today need more education than ever to compete in the labor market, a college education is more expensive than in the past.”



Also see:

 

“Bloomberg Law 2022” Releases Today – Explores Future of Legal Industry and Practice Trends — from legaltechmonitor.com by Jean O’Grady

Excerpt:

BLOOMBERG LAW 2022 SERIES EXPLORES KEY LEGAL TRENDS THAT WILL SHAPE THE YEAR TO COME
Arlington, Va. (November 1, 2021) — Bloomberg Law today announced the availability of its Bloomberg Law 2022 series, its exploration of key issues across four major topic areas – Litigation, Transactions & Contracts, Regulatory & Compliance, and The Future of the Legal Industry – that will shape the legal market in the coming year. The full series, which is issued annually and features 25 articles from Bloomberg Law’s team of legal analysts, is available on a complimentary basis at http://onb-law.com/tXw850GAeS4.

Topic area coverage includes:

  • Litigation: Developments that will shape the course of litigation in 2022 are examined, ranging from Covid-related employment and contractual issues to emerging trends in antitrust cases and bankruptcy filings.
  • Regulatory & Compliance: Learn how a heightened enforcement environment will impact everything from return-to-office mandates to privacy and tech industry regulation to potential actions by the SEC and Congress on cryptocurrency.
  • Transactions & Contracts: Take a look at the forces shaping the transactional landscape and key markets of interest, from trends in M&A and IPOs to the nuanced impacts of new data security laws on contract language.
  • The Future of the Legal Industry: Hot topics such as diversity & inclusion and attorney well-being and the rapidly expanding areas of law such as legal operations and litigation finance are analyzed.

Also see:

Moving forward, the pandemic will have lasting implications for our justice system. The immediate focus on keeping the doors of justice open will inevitably shift to growing case backlogs, reduced funding, increased demand for low-cost legal assistance, inequities in access, and deepening concerns regarding public trust and confidence. Our justice system must be ready, but how do we create paths forward to achieve justice for all?

 

Winners Named for 2021 American Legal Technology Awards — from lawsitesblog.com by Bob Ambrogi

Excerpt:

Winners have been named for the second annual American Legal Technology Awards, a competition launched last year to honor exceptional achievements in legal technology.

This year, the competition added the announcement of a runner up and honorable mention in each category. A series of videos showcasing the winners in each category will be posted to the ALTA site between now and Nov. 10.

2021 American Legal Technology Awards

 

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:


 

 
 
 

Americans Need a Bill of Rights for an AI-Powered World — from wired.com by Eric Lander & Alondra Nelson
The White House Office of Science and Technology Policy is developing principles to guard against powerful technologies—with input from the public.

Excerpt (emphasis DSC):

Soon after ratifying our Constitution, Americans adopted a Bill of Rights to guard against the powerful government we had just created—enumerating guarantees such as freedom of expression and assembly, rights to due process and fair trials, and protection against unreasonable search and seizure. Throughout our history we have had to reinterpret, reaffirm, and periodically expand these rights. In the 21st century, we need a “bill of rights” to guard against the powerful technologies we have created.

Our country should clarify the rights and freedoms we expect data-driven technologies to respect. What exactly those are will require discussion, but here are some possibilities: your right to know when and how AI is influencing a decision that affects your civil rights and civil liberties; your freedom from being subjected to AI that hasn’t been carefully audited to ensure that it’s accurate, unbiased, and has been trained on sufficiently representative data sets; your freedom from pervasive or discriminatory surveillance and monitoring in your home, community, and workplace; and your right to meaningful recourse if the use of an algorithm harms you. 

In the coming months, the White House Office of Science and Technology Policy (which we lead) will be developing such a bill of rights, working with partners and experts across the federal government, in academia, civil society, the private sector, and communities all over the country.

Technology can only work for everyone if everyone is included, so we want to hear from and engage with everyone. You can email us directly at ai-equity@ostp.eop.gov

 

The Great Education Unbundling and How Learning Will be Rebundled — from gettingsmart.com by Nate McClennen, Tom Vander Ark

Key Points

  • The pandemic accelerated the great unbundling of learning – at least for those with access, agency, and advocates.
  • While unbundling will expand, how learning is rebundled will emerge as the next innovation — accessible, personalized, accountable and massive.

Excerpts:

By removing the barrier of full credit/school offered, schools become more robust in terms of richness of offerings as well as more personalized to meet the needs of students and communities.

The majority of unbundled experiences still fall back on the course level as the smallest granular level of choice. Following the lead of industry, unbundling in schools should mean a reduction in grain size so that skills are the level of unbundling rather than courses.

 
© 2024 | Daniel Christian