OPINION: Post pandemic, it’s time for a bold overhaul of U.S. public education, starting now — from hechingerreport.org by William Hite and Kirsten Baesler
Personalized learning can restore public faith and meet the diverse needs of our nation’s students

Excerpt:

Across all socioeconomic and racial groups, Americans want an education system that goes beyond college preparation and delivers practical skills for every learner, based on their own needs, goals and vision for the future.

We believe that this can be achieved by making the future of learning more personalized, focused on the needs of individual learners, with success measured by progress and proficiency instead of point-in-time test scores.

Change is hard, but we expect our students to take risks and fail every day. We should ask no less of ourselves.

 

Introducing Teach AI — Empowering educators to teach w/ AI & about AI [ISTE & many others]


Teach AI -- Empowering educators to teach with AI and about AI


Also relevant/see:

 

Pathways With a Purpose: Supporting Students in Revealing Meaning — from gettingsmart.com by Michalle Blanchet

Key Points

  • As we look at career pathways for students we might do more to support students to find meaningful work.
  • Data suggests young people care about having jobs that make an impact.

Difference-making, social innovation, social entrepreneurship – there’s a thread that unites these various themes. They are purpose-driven. As we look at career pathways for students we might do more to support students to find meaningful work. Data suggests young people care about having jobs that make an impact. They want to do something that contributes positively to society, and the environment while earning a paycheck. This is something that we must nurture as educators.

 

From DSC:
I don’t think all students hate AI. My guess is that a lot of them like AI and are very intrigued by it. The next generation is starting to see its potential — for good and/or for ill.

One of the comments (from the above item) said to check out the following video.  I saw one (or both?) of these people on a recent 60 Minutes piece as well.


Speaking of AI, also see:

 

Poetry writing about Flint murals allows for ‘creative freedom’ in this high school classroom — from mlive.com  by Dylan Goetz (behind paywall)

Excerpt:

It’s a new tradition in the curriculum of the senior-level English class, where teacher Carrie Mattern asks her students to seek out a mural in Flint and write poetry about it.

This year, there was a focus on writing around cultural grief and the process of healing.

It’s become a favorite assignment for the students who’ve worked on the project, who say it allows them to use “creative freedom” in a way that other classes don’t.
.


Also see:

 

Verified Skills — from the-job.beehiiv.com by Paul Fain
Hunting for a common thread amid the hype around skills.

Excerpt:

The glitzy ASU+GSV gathering this week was titled “Brave New World.” But Tim Knowles wanted to talk about 1906.

That was when the organization Knowles leads, the Carnegie Foundation for the Advancement of Teaching, created the credit-hour standard. The time has arrived, argue Knowles and Amit Sevak, CEO of ETS, to move away from the Carnegie Unit and toward a new currency of education based on meaningful skills and accomplishments, demonstrated through assessment.

Our old way of training Americans for ‘good jobs’ is past its sell-by date — from workshift.opencampusmedia.org by JB Holston
We’re at a pivot point in education and workforce development. Employers in the U.S. and its allies have an opportunity to accelerate their economies by collaborating to scale new pathways to prosperity. They need to seize that opportunity, writes JB Holston, former CEO of the Greater Washington Partnership.

The country is at a pivot point. COVID’s acceleration of remote work and training; an increased dedication to inclusion, equity, and diversity since the murder of George Floyd; the inexorable pace of technological change; and America’s new, well-funded industrial policy have created an opportunity for the most significant re-set in the relationship between employers and our education systems in the last 150 years.

The old path to family-supporting career positions—which depended on large employers recruiting graduates from a small universe of ranked colleges whose education stopped with that degree—is past its sell-by date.

AI in Hiring and Evaluating Workers: What Americans Think — from pewresearch.org by Lee Rainie, Monica Anderson, Colleen McClain, Emily A. Vogels, and Risa Gelles-Watnick
62% believe artificial intelligence will have a major impact on jobholders overall in the next 20 years, but far fewer think it will greatly affect them personally. People are generally wary and uncertain of AI being used in hiring and assessing workers

Excerpt:

A new Pew Research Center survey finds crosscurrents in the public’s opinions as they look at the possible uses of AI in workplaces. Americans are wary and sometimes worried. For instance, they oppose AI use in making final hiring decisions by a 71%-7% margin, and a majority also opposes AI analysis being used in making firing decisions. Pluralities oppose AI use in reviewing job applications and in determining whether a worker should be promoted. Beyond that, majorities do not support the idea of AI systems being used to track workers’ movements while they are at work or keeping track of when office workers are at their desks.

 

A New Era for Education — from linkedin.com by Amit Sevak, CEO of ETS and Timothy Knowles, President of the Carnegie Foundation for the Advancement of Teaching

Excerpt (emphasis DSC):

It’s not every day you get to announce a revolution in your sector. But today, we’re doing exactly that. Together, we are setting out to overturn 117 years of educational tradition.

The fundamental assumption [of the Carnegie Unit] is that time spent in a classroom equals learning. This formula has the virtue of simplicity. Unfortunately, a century of research tells us that it’s woefully inadequate.


From DSC:
It’s more than interesting to think that the Carnegie Unit has outlived its usefulness and is breaking apart. In fact, the thought is very profound.

It's more than interesting to think that the Carnegie Unit has outlived its usefulness and is breaking apart. In fact, the thought is very profound.

If that turns out to be the case, the ramifications will be enormous and we will have the opportunity to radically reinvent/rethink/redesign what our lifelong learning ecosystems will look like and provide.

So I appreciate what Amit and Timothy are saying here and I appreciate their relaying what the new paradigm might look like. It goes with the idea of using design thinking to rethink how we build/reinvent our learning ecosystems. They assert:

It’s time to change the paradigm. That’s why ETS and the Carnegie Foundation have come together to design a new future of assessment.

    • Whereas the Carnegie Unit measures seat time, the new paradigm will measure skills—with a focus on the ones we know are most important for success in career and in life.
    • Whereas the Carnegie Unit never leaves the classroom, the new paradigm will capture learning wherever it takes place—whether that is in after-school activities, during a work-experience placement, in an internship, on an apprenticeship, and so on.
    • Whereas the Carnegie Unit offers only one data point—pass or fail—the new paradigm will generate insights throughout the learning process, the better to guide students, families, educators, and policymakers.

I could see this type of information being funneled into peoples’ cloud-based learner profiles — which we as individuals will own and determine who else can access them. I diagrammed this back in January of 2017 using blockchain as the underlying technology. That may or may not turn out to be the case. But the concept will still hold I think — regardless of the underlying technology(ies).

Perhaps blockchain will be the underlying technology to provide us with cloud-based learner profiles

For example, we are seeing a lot more articles regarding things like Comprehensive Learner Records (CLR) or Learning and Employment Records (LER; example here), and similar items.

LER — The Learning and Employment Record for a Skills-Based Economy


Speaking of reinventing our learning ecosystems, also see:

 


law-school-ai.vercel.app -- Your Personalized AI Chatbot for No-Nonsense Law Learning.


From DSC:
I haven’t used this app or their website (which seems to have a lot of broken links!). But my question/reflection is…is this a piece of legal education’s future? Or even larger than that? I can easily see a LegalGPT type of service out there for ***society at large.***


 
 
 
 

The mounting human and environmental costs of generative AI — from by Sasha Luccioni
Op-ed: Planetary impacts, escalating financial costs, and labor exploitation all factor.

Abstract image of a person wearing a gas mask, reaching out to a floating brain

Excerpt:

Over the past few months, the field of artificial intelligence has seen rapid growth, with wave after wave of new models like Dall-E and GPT-4 emerging one after another. Every week brings the promise of new and exciting models, products, and tools. It’s easy to get swept up in the waves of hype, but these shiny capabilities come at a real cost to society and the planet.

Downsides include the environmental toll of mining rare minerals, the human costs of the labor-intensive process of data annotation, and the escalating financial investment required to train AI models as they incorporate more parameters.

Let’s look at the innovations that have fueled recent generations of these models—and raised their associated costs.


Also relevant/see:

ChatGPT is Thirsty: a mini exec briefing — from BrainyActs #040 | ChatGPT’s Thirst Problem
Between the growing number of data centers + the exponential growth in consumer-grade Generative AI tools, water is becoming a scarce resource.

 

Justice Through Code — from centerforjustice.columbia.edu by ; via Matt Tower
Unlocking Potential for the 80+ Million Americans with a Conviction History.

Excerpt:

A world where every person, regardless of past convictions or incarceration can access life-sustaining and meaningful careers.

We are working to make this vision a reality through our technical and professional career development accelerators.

Our Mission: We educate and nurture talent with conviction histories to create a more just and diverse workforce. We increase workplace equity through partnerships that educate and prepare teams to create supportive pathways to careers that end the cycle of poverty that contributes to incarceration and recidivism.

JTC is jointly offered by Columbia University’s Center for Justice, and the Tamer Center for Social Enterprise at the Columbia Business School.

 

Tech Titans: The crossroads of humanity and technology — from enterprisersproject.com by E.G. Nadhan
This year’s panel of IT leaders discusses the ongoing problem of equitable access to technology for underserved communities

Excerpts:

Can technology be a catalyst to improve the quality of life in these communities and, thus, resist the status quo?

“You cannot escape technology – tech is intertwined no matter what we do; it has become a utility like water, heat, and electricity. Not having access to technology can be detrimental to having access to the essentials of daily life. We need to work together to ensure that everyone – especially the underserved and disenfranchised communities – have access to technology.”

Also relevant/see:

Anywhere Learning Happens: The eduroam Global WiFi Access Service — from campustechnology.com by Mary Grush
A conversation with eduroam community leaders Saira Hasnain and Brett Bieber

Steadily, eduroam is reaching toward ubiquity, and that’s one big factor that will ultimately allow it to continue to expand services to users all around the globe.

Impressively, in 2022, eduroam logged more than 6.4 billion individual authentications around the globe.

 




AutoGPT is the next big thing in AI— from therundown.ai by Rowan Cheung

Excerpt:

AutoGPT has been making waves on the internet recently, trending on both GitHub and Twitter. If you thought ChatGPT was crazy, AutoGPT is about to blow your mind.

AutoGPT creates AI “agents” that operate automatically on their own and complete tasks for you. In case you’ve missed our previous issues covering it, here’s a quick rundown:

    • It’s open-sourced [code]
    • It works by chaining together LLM “thoughts”
    • It has internet access, long-term and short-term memory, access to popular websites, and file storage

.



From DSC:
I want to highlight that paper from Stanford, as I’ve seen it cited several times recently:.

Generative Agents: Interactive Simulacra of Human Behavior -- a paper from Stanford from April 2023


From DSC:
And for a rather fun idea/application of these emerging technologies, see:

  • Quick Prompt: Kitchen Design — from linusekenstam.substack.com by Linus Ekenstam
    Midjourney Prompt. Create elegant kitchen photos using this starting prompt. Make it your own, experiment, add, remove and tinker to create new ideas.

…which made me wonder how we might use these techs in the development of new learning spaces (or in renovating current learning spaces).


From DSC:
On a much different — but still potential — note, also see:

A.I. could lead to a ‘nuclear-level catastrophe’ according to a third of researchers, a new Stanford report finds — from fortune.com by Tristan Bove

Excerpt:

Many experts in A.I. and computer science say the technology is likely a watershed moment for human society. But 36% don’t mean that as a positive, warning that decisions made by A.I. could lead to “nuclear-level catastrophe,” according to researchers surveyed in an annual report on the technology by Stanford University’s Institute for Human-Centered A.I., published earlier this month.


 
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