This $10K AI School Promises to Future-Proof Your Career — from builtin.com by Matthew Urwin
Khan Academy, TED and ETS are starting a new program to equip students and professionals with the skills to thrive in an increasingly AI-driven economy. Here’s what you need to know.

Summary: The Khan TED Institute is a higher-education program that will teach students and workers how to use AI through interactive learning. The program’s AI-centric curriculum is an unproven approach, though, casting doubt on whether it will actually improve learning outcomes and career prospects.

Higher education might be on the verge of a radical overhaul to bring it up to speed in the age of artificial intelligence. At the TED2026 conference, Khan Academy, TED and ETS announced that they’re partnering to establish the Khan TED Institute — a new program that reorients the college curriculum around AI. By joining forces, the education technology trio aims to develop an alternative to traditional universities that better tracks student progress, teaches more relevant skills and provides a more personalized learning experience.

Accessibility is another major tenet of the Khan TED Institute. Its virtual nature allows anyone with an internet connection to participate in the program and makes it easier for students to move at their preferred pace. And because its curriculum prioritizes competency over course credits, advanced learners can complete the program in a shorter period. Time isn’t the only thing students can save on, either: The Institute promises a bachelor’s degree for less than $10,000, offering a much more affordable alternative to the typical four-year degree. 


 

From DSC:
Faculty senates don’t do well with this pace of change. But to their credit, few organizations can begin to deal with this pace of change.

 

AI for Your Next Career Move — from wondertools.substack.com by Jeremy Caplan
Free tools to explore, research, and interview better

AI tools can serve as patient assistants when you’re looking for a job. Use them to organize your search. Or to challenge your assumptions about potential jobs. They can also help you present your strengths more persuasively. When you’re changing fields, or trying to move up, AI can help you stand out.

1. Visualize Your Career Options
Try: Google’s
Career Dreamer

What it is: A free tool for exploring jobs adjacent to yours. See a map of professional fields related to your interests.

How to use it: Start by typing in a current or previous role. Or name a job that interests you. Use up to five words. You can also name a specific organization or industry, if you have one in mind.

Career Dreamer asks what work activities interest you, then maps related career paths. Pick one at a time to explore.

You can then browse actual job openings. Refine the search based on location, company size, or other factors you care about.

 

From DSC:
I wish I had learned about the important financial, legal, and medical things (that are covered in the gifted article below) in high school!


How to Help Your Aging Loved Ones Plan for the Future— a gifted article from nytimes.com by Elie Levine
Learn as much as you can about setting up the financial, legal and medical components of late-in-life care — and do it earlier than you might think.

Making end-of-life plans for your loved ones can feel like a burden. It is, almost by definition, complicated, and it might require having difficult conversations and sorting through a seemingly endless stream of forms and terminology. But it’s essential to your family’s well-being — and it’s worth doing earlier than you might think.

The first thing to know: There’s no one-size-fits-all approach to planning. But think of this as a starter kit that covers how to handle your parents’ current or future health challenges, and how they’ll pay for medical care. (Knowing about their medications, current finances and living situation can also help you prepare for an emergency medical situation.) Below are some of the questions to consider and discuss with your loved ones.

 

The “Cognitive Offloading” Paradox — from drphilippahardman.substack.com by Dr. Philippa Hardman
New research shows that offloading learning tasks to AI can improve – rather than erode – human thinking and learning

The Rise of the “Offloading Paradox”
In March 2026, the International Journal of Educational Technology in Higher Education published a study that went beyond the question “does offloading hurt?” and asked a harder one: when students form genuine partnerships with AI — treating it as an intellectual collaborator rather than a passive tool — what actually happens to the way they think and learn? Specifically, do two cognitive responses — critical evaluation of AI outputs (what the researchers call cognitive vigilance) and strategic delegation to AI (cognitive offloading) — compete with each other, or can they coexist?

Based on previous research, Wang and Zhang hypothesised that cognitive offloading would hurt transformative learning. They expected the familiar story: delegation reduces cognitive struggle, struggle is where learning happens, therefore delegation undermines learning.

The study — 912 students across China, Europe, and the United States, using a three-wave time-lagged survey design that measured partnership orientation first, cognitive strategies two weeks later, and learning outcomes two weeks after that — found something more interesting than a simple reversal.

 

Make learning accessible to all in higher education — from The Times Higher Education

When accessibility is placed at the heart of teaching and learning, rather than treated as a bolt-on, every student benefits. This week’s spotlight guide offers advice on designing universally accessible learning, in-person and online. Find out how to ease the burden of disability disclosure with universal design for learning, better support neurodivergent students and students with hearing or vision issues, design more accessible assessments and ensure digital tools work for all.

 

 

This Is a Hard Time to Start a Career. These Two Words Can Help. — a gifted article from nytimes.com by Jodi Kantor
Advice on building a rewarding work life, even amid employment gloom.

If you’re sweating about what field to enter, here are a few things you can do now. Buy a cheap, thin notebook. Keep it on you. Every week, make a practice of writing down which actions you enjoy and which ones you hate, whom you like being around and whom you can’t stand. Keep running lists of what you’re good at and what ideas move you. Notice yourself.

Look to your friends instead. Think about what roles you take on with them: math tutor, party planner, psychologist, workout coach. These answers often reveal truths that our résumés do not. In social relationships, we aren’t bound by suffocating expectations about our future. Our friends have needs, and by noticing how we respond to them, we can learn who we are.

There is a wiser way to seize the future, which is to think about need. What is your own assessment of what society will need most during your working years, the next four or five decades? What kind of care; what kind of products; what kind of information?

The people I see thriving at work are the ones who chased some bigger need — not imposed by hollow conventional wisdom, but articulated through independent observation. Craft gives their work authority. Need gives it propulsion.

 

“Learning ecosystems begin with people.” — Getting Smart


ASU/GSV Summit

There’s something about walking into a space like the ASU+GSV Summit that feels a little like stepping into a living, breathing idea. You hear fragments of possibility in passing conversations, see it in the way people lean in a little closer during sessions, feel it in the quiet moments when something lands and you know it’s going to stay with you. This year, what lingered wasn’t just the talk of innovation; it was a deeper pull toward something more human. A reminder that before we build better systems, we have to create better conditions for dreaming. And there’s a kind of quiet joy that emerges when educators find each other in that work, when ideas connect, and you can feel the bridges across networks and ecosystems getting stronger in real time.

And dreaming is not a given. It requires space, safety, and adults who understand the weight of what they’re holding. The most powerful moments weren’t about what we can do for learners, but how we show up with them. Adults who are still learning, still stretching, still willing to have their thinking reshaped are the ones who make room for young people to imagine beyond what they’ve seen. That kind of space doesn’t happen by accident. It’s protected. It’s intentional. It’s built by people who know their non-negotiables, who draw clear lines around dignity and belonging so learners can take risks without fear of losing themselves in the process.

Across conversations on pathways, experience, and AI, there was a steady undercurrent. Knowledge alone isn’t carrying the day anymore. Young people need chances to test, to try, to wrestle with ideas in real contexts. That’s where wisdom starts to take shape. AI showed up as a partner in that work, not the main character, but a tool that can expand thinking when used well. Still, the heartbeat of it all is human. It’s the relationships, the networks, the shared belief that we don’t have to do this alone. When adults come together to learn, to challenge each other, and to build something bigger than their own corner, they create the kind of ecosystems where young people don’t just prepare for the future, they begin to shape it.


Also from Getting Smart:

 

Which Jobs Are Most at Risk From AI? New Anthropic Data Offers Clues. — from builtin.com by Matthew Urwin
Anthropic set out in its latest study to predict how artificial intelligence could impact the labor market. Instead, its findings raise more questions than answers for tech workers as the U.S. government refuses to regulate the AI industry.

Summary:
In its latest labor market study, Anthropic found that artificial intelligence poses the greatest threat to software jobs, women and younger professionals. As the Trump administration takes a hands-off approach to AI, tech workers may be left to grapple with these findings on their own.


Matthew links to:

Labor market impacts of AI: A new measure and early evidence — from anthropic.com

Key findings

  • We introduce a new measure of AI displacement risk, observed exposure, that combines theoretical LLM capability and real-world usage data, weighting automated (rather than augmentative) and work-related uses more heavily
  • AI is far from reaching its theoretical capability: actual coverage remains a fraction of what’s feasible
  • Occupations with higher observed exposure are projected by the BLS to grow less through 2034
  • Workers in the most exposed professions are more likely to be older, female, more educated, and higher-paid
  • We find no systematic increase in unemployment for highly exposed workers since late 2022, though we find suggestive evidence that hiring of younger workers has slowed in exposed occupations

 
 
 

What the Future of Learning Looks Like in the Era of AI — from the Center for Academic Innovation at the University of Michigan, by Sean Corp

AI & the Future of Learning Summit brings industry, education leaders together to discuss higher education’s opportunity to lead, what students need, and what partnerships are possible

As artificial intelligence rapidly reshapes the nature of work and learning, speakers at the University of Michigan’s AI & the Future of Learning Summit delivered a clear message: higher education must take a leading role in defining what comes next.

One CEO of a leading educational technology company put it like this: “The only bad thing would be universities standing still.”

Universities must embrace their roles as providers of continuous, lifelong learning that evolves alongside technological change. 


This shift is already affecting early-career pathways. Employers are placing greater emphasis on experience, while traditional entry-level roles are becoming less accessible. There is often a gap between what a credential represents and the expectations of employers.

That gap is particularly evident in access to internships. Chris Parrish, co-founder and president of Podium, noted that millions of students compete for a limited number of internships each year, making it increasingly difficult to gain the experience employers demand.

“If you miss out on an internship, you’re twice as likely to be unemployed,” Parrish said. 

 

More than a quarter of private colleges are at risk of closing, new projection shows — from hechingerreport.org by Jon Marcus
As one Vermont college finishes its last semester, an estimated 442 others may be in trouble

A new estimate projects that 442 of the nation’s 1,700 private, nonprofit four-year colleges and universities, with a combined 670,000 students, are at risk of closing or having to merge within the next 10 years.

More than 120 institutions are at the very highest risk, according to the forecast, by Huron Consulting Group, which analyzed enrollment trends, tuition revenue, assets, debt, cash on hand and other measures. Many are, like Sterling, small and rural.

“We have too many seats. We have too many classrooms,” said Peter Stokes, a managing director at Huron. “So over the coming five to 10 years, this shakeout is going to take place.” 

 

The quest to build a better AI tutor — from hechingerreport.org by Jill Barshay
Researchers make progress with an older ed tech idea: personalized practice

One promising idea has less to do with how an AI tutor explains concepts and more with what it asks students to practice next.

A team at the University of Pennsylvania, which included some AI skeptics, recently tested this approach in a study of close to 800 Taiwanese high school students learning Python programming. All the students used the same AI tutor, which was designed not to give away answers.

But there was one key difference. Half the students were randomly assigned to a fixed sequence of practice problems, progressing from easy to hard. The other half received a personalized sequence with the AI tutor continuously adjusting the difficulty of each problem based on how the student was performing and interacting with the chatbot.

The idea is based on what educators call the “zone of proximal development.” When problems are too easy, students get bored. When they’re too hard, students get frustrated. The goal is to keep students in a sweet spot: challenged, but not overwhelmed.

The researchers found that students in the personalized group did better on a final exam than students in the fixed problem group. The difference was characterized as the equivalent of 6 to 9 months of additional schooling, an eye-catching claim for an after-school online course that lasted only five months.

To address this, Chung’s team combined a large language model with a separate machine-learning algorithm that analyzes how students interact with the online course platform — how they answer the practice questions, how many times they revise or edit their coding, and the quality of their conversations with the chatbot — and uses that information to decide which problem to serve up next.

 

The Campus Crisis No One’s Talking About — from linkedin.com by Jeff Selingo

Sports Betting Is Now a Campus-Wide Habit

The headline number: About 60% of 18-to-22-year-olds are engaging in sports betting, a figure that climbs to two-thirds among college students specifically, according to an NCAA-commissioned study.

  • “It’s sort of a learned behavior for them at a very young age,” Clint Hangebrauck, the NCAA’s managing director of enterprise risk management, told us on the latest episode of Future U. “I do think this could be the next big public health crisis that we’re facing as a country and particularly within higher ed.”
  • College-age individuals are 3x more likely to develop problematic gambling behaviors than the general population. Gambling often co-exists with other behaviors now prevalent in colleges, such as sleeplessness, binge drinking, drug use, anxiety and depression.

Gambling among college students isn’t confined to athletes. Rather, it’s embedded across campus life, and with athletes often most visible in Division III, where oversight is lighter. Gambling often coexists with—and can exacerbate—other student challenges, from mental health struggles to substance use. If this is the next public health issue on campus, it’s arriving without the same level of attention.


From DSC:
I don’t mean to be self-righteous here. But shame on the older adults who are promoting gambling in any fashion — marketing, advertising, sales, and/or whatever. It’s a cancer in our society, and it’s impacting our youth in a big way (and also older folks as well). I’m not a gambler, but I’m well acquainted with weakness. And the Bible confirms that we all are acquainted with weakness:

Isaiah 53:6

 We all, like sheep, have gone astray,
    each of us has turned to our own way;
and the Lord has laid on him
    the iniquity of us all.

The adults out there know it. We are well acquainted with our sins and shortcomings.

Parents want the best for their kids. They don’t want dangerous habits being formed in their children. “Coping skills” that are majorly busted, and can lead to incredibly negative events. And the parents don’t want these habits to be formed at colleges and universities across the nation.

I wish those involved with promoting gambling could be at the dinner tables, or in the bedrooms, or in the living rooms, or in the vehicles out there when a spouse finds out that the other spouse (or significant other) has gambled away a significant amount of the couple’s savings. They no longer have rainy-day funds. They can no longer pay their bills. They no longer have the college funds for their other kids. Emotions erupt, fights begin. Relationships are threatened — and divorces sometimes occur because of this issue/habit. 

So if you are involved with promoting gambling, consider reading this article from Jeff Selingo…then go take a long look in the mirror. 

 

The Most Obvious Fix in Education — from michelleweise.substack.com by Michelle Weise
The No-Brainer Nobody’s Doing 

We know what better learning looks like. We have known for a while.

Real problems. Real roles. Built-in conflict. Conditions that simulate the messiness of actual work. Reflection that asks not just what did you do but who are you becoming? These are not radical ideas. They are not untested theories. The research is clear, employers are asking for exactly this, and students consistently report that the closest they got to real work was the most valuable part of their education.

So why aren’t universities doing more of it?

That is the question worth sitting with — because the gap between what we know and what we do is not a knowledge problem. It is a design problem, an incentive problem, and if we’re being candid, a courage problem.

Because in the meantime, learners are paying the price. They graduate credentialed but untested. They enter labor markets that want proof of performance and experience, not transcripts. They lack the networks, the exposure, and the scar tissue that comes from navigating real work.


Also relevant, see:

The Apprenticeship (R)Evolution — from insidehighered.com by Sara Weissman and Colleen Flaherty
Once synonymous with hard hats and tool belts, apprenticeships are branching into health care, artificial intelligence, business services, advanced manufacturing and more.

Such programs also challenge stereotypes about apprenticeships—namely that they’re only in construction, an earn-and-learn catchall for traditionally apprenticeable occupations such as bricklayer, plumber, carpenter and electrician. In integrating robotics, automation, machining and logistics, the manufacturing development program is a bridge to understanding how apprenticeships are evolving to support some of the nation’s fastest-growing industries. These include advanced manufacturing, but also health care, information technology and other business services.

 
© 2025 | Daniel Christian