Enrollment Growth Continues, Bolstered by Short-Term Credentials — from insidehighered.com by Johanna Alonso
Enrollment is up across the board this fall, except for graduate student enrollment, which remained stagnant. The biggest increase was among those pursuing short-term credentials, followed by those earning associate degrees.

College enrollment continued to grow this fall, increasing by 2 percent compared to fall 2024, according to preliminary fall data released by the National Student Clearinghouse Research Center.

The biggest gains came from students studying for short-term credentials, whose ranks increased 6.6 percent, while the number of students enrolled in associate and bachelor’s degree programs rose 3.1 percent and 1.2 percent, respectively. Enrollment also grew faster at community colleges, which experienced a 4 percent increase, than at public (1.9 percent) and private (0.9 percent) four-year institutions.

Total graduate enrollment was stagnant, however, and the number of master’s students actually decreased by 0.6 percent.


Speaking of higher education, also see:

OPINION: Too many college graduates are stranded before their careers can even begin. We can’t let that happen — from hechingerreport.org by Bruno V. Manno

This fall, some 19 million undergraduates returned to U.S. campuses with a long-held expectation: Graduate, land an entry-level job, climb the career ladder. That formula is breaking down.

Once reliable gateway jobs for college graduates in industries like finance, consulting and journalism have tightened requirements. Many entry-level job postings that previously provided initial working experience for college graduates now require two to three years of prior experience, while AI, a recent analysis concluded, “snaps up good entry-level tasks,” especially routine work like drafting memos, preparing spreadsheets and summarizing research.

Without these proving grounds, new hires lose chances to build skills by doing. And the demand for work experience that potential workers don’t have creates an experience gap for new job seekers. Once stepping-stones, entry-level positions increasingly resemble mid-career jobs.


 


Gen AI Is Going Mainstream: Here’s What’s Coming Next — from joshbersin.com by Josh Bersin

I just completed nearly 60,000 miles of travel across Europe, Asia, and the Middle East meeting with hundred of companies to discuss their AI strategies. While every company’s maturity is different, one thing is clear: AI as a business tool has arrived: it’s real and the use-cases are growing.

A new survey by Wharton shows that 46% of business leaders use Gen AI daily and 80% use it weekly. And among these users, 72% are measuring ROI and 74% report a positive return. HR, by the way, is the #3 department in use cases, only slightly behind IT and Finance.

What are companies getting out of all this? Productivity. The #1 use case, by far, is what we call “stage 1” usage – individual productivity. 

.


From DSC:
Josh writes: “Many of our large clients are now implementing AI-native learning systems and seeing 30-40% reduction in staff with vast improvements in workforce enablement.

While I get the appeal (and ROI) from management’s and shareholders’ perspective, this represents a growing concern for employment and people’s ability to earn a living. 

And while I highly respect Josh and his work through the years, I disagree that we’re over the problems with AI and how people are using it: 

Two years ago the NYT was trying to frighten us with stories of AI acting as a romance partner. Well those stories are over, and thanks to a $Trillion (literally) of capital investment in infrastructure, engineering, and power plants, this stuff is reasonably safe.

Those stories are just beginning…they’re not close to being over. 


“… imagine a world where there’s no separation between learning and assessment…” — from aiedusimplified.substack.com by Lance Eaton, Ph.D. and Tawnya Means
An interview with Tawnya Means

So let’s imagine a world where there’s no separation between learning and assessment: it’s ongoing. There’s always assessment, always learning, and they’re tied together. Then we can ask: what is the role of the human in that world? What is it that AI can’t do?

Imagine something like that in higher ed. There could be tutoring or skill-based work happening outside of class, and then relationship-based work happening inside of class, whether online, in person, or some hybrid mix.

The aspects of learning that don’t require relational context could be handled by AI, while the human parts remain intact. For example, I teach strategy and strategic management. I teach people how to talk with one another about the operation and function of a business. I can help students learn to be open to new ideas, recognize when someone pushes back out of fear of losing power, or draw from my own experience in leading a business and making future-oriented decisions.

But the technical parts such as the frameworks like SWOT analysis, the mechanics of comparing alternative viewpoints in a boardroom—those could be managed through simulations or reports that receive immediate feedback from AI. The relational aspects, the human mentoring, would still happen with me as their instructor.

Part 2 of their interview is here:


 

Seeing The Unseen Students: The Invisible Strength of Teachers — from teachthought.com by Tasneem Tazkiya
One afternoon, I asked a different question: “What would make school feel worth showing up for again?”

A Moment That Changed My View of Teaching
I’ll never forget a student I’ll call Jalen. He was bright and quick with answers, sharp in debate, but he had built a wall around himself after a difficult year at home. He’d stopped turning in work and began sitting silently in the back of the room, disengaged and defiant.

One afternoon, instead of lecturing him about missing assignments, I asked a different question: “What would make school feel worth showing up for again?”

That simple question opened a door. Over the following weeks, Jalen began sharing ideas for projects connected to his interests, designing sneakers and exploring how geometry applies to shoe patterns. I adapted lessons to let him create, design, and analyze. Slowly, his confidence returned. Months later, he told me, “You made me feel like my ideas mattered.”

That moment reminded me that teaching isn’t just about delivering content; it’s about restoring belief in learning, and in oneself.


Also see:

The Power of Play — from barbarabray.net by Barbara Bray

Play brings joy and happiness to learning. Infusing play in schools prepares kids as future citizens.
When you play a game with your friends, how do you feel?

When you see children playing with other children, what do you notice?

Ask a child if they remember the worksheet they filled out last week.
Did they have fun?

Do they remember what they learned?

Let’s play more and discover how learning unfolds.
Schools can invest in more play through games, interactive experiences, and just making learning fun. Providing engaging activities through play creates learners who become critical thinkers, researchers, and designers.


Also re: teaching and learning:

 
 

A New AI Career Ladder — from ssir.org (Stanford Social Innovation Review) by Bruno V. Manno; via Matt Tower
The changing nature of jobs means workers need new education and training infrastructure to match.

AI has cannibalized the routine, low-risk work tasks that used to teach newcomers how to operate in complex organizations. Without those task rungs, the climb up the opportunity ladder into better employment options becomes steeper—and for many, impossible. This is not a temporary glitch. AI is reorganizing work, reshaping what knowledge and skills matter, and redefining how people are expected to acquire them.

The consequences ripple from individual career starts to the broader American promise of economic and social mobility, which includes both financial wealth and social wealth that comes from the networks and relationships we build. Yet the same technology that complicates the first job can help us reinvent how experience is earned, validated, and scaled. If we use AI to widen—not narrow—access to education, training, and proof of knowledge and skill, we can build a stronger career ladder to the middle class and beyond. A key part of doing this is a redesign of education, training, and hiring infrastructure.

What’s needed is a redesigned model that treats work as a primary venue for learning, validates capability with evidence, and helps people keep climbing after their first job. Here are ten design principles for a reinvented education and training infrastructure for the AI era.

  1. Create hybrid institutions that erase boundaries. …
  2. Make work-based learning the default, not the exception. …
  3. Create skill adjacencies to speed transitions. …
  4. Place performance-based hiring at the core. 
  5. Ongoing supports and post-placement mobility. 
  6. Portable, machine-readable credentials with proof attached. 
  7. …plus several more…
 

Net tuition rises at colleges, but costs are far below their peaks — from highereddive.com by Ben Unglesbee
The prices students and their families paid after aid at four-year public colleges and private nonprofits ticked up in 2025-26, per College Board estimates.

Dive Brief:

  • The average tuition and fees paid by students and their families after aid rose slightly for the 2025-26 academic year but remain well below historic peaks, according to the latest higher education pricing study from the College Board.
  • At public four-year colleges, net tuition and fees for first-time, full-time students increased just 1.3% to $2,300 from last year, when adjusted for inflation, according to the College Board’s estimates. That figure is down 48.3% from the peak in 2012-2013.
  • At private nonprofits, net tuition and fees for first-time, full-time students rose 3.7% annually to $16,910 in the 2025-26 year, when adjusted for inflation. By comparison, that’s down 14.6% from the peak for private colleges in 2006-07.

Class of 2025 says they see the effects of a tough job market — from hrdive.com by Kathryn Moody
Young workers have been particularly exposed to the changes brought by artificial intelligence tools, some research has indicated.

The Class of 2025 faced a particularly tough job market, searching for jobs earlier, submitting more applications — averaging 10 applications to the Class of 2024’s six — and receiving fewer offers on average, a National Association of Colleges and Employers study said in a recent report, in partnership with Indeed.

Graduates were more likely to accept those offers, however, even amid uncertainty; 86.7% of those offered a job had accepted in 2025, compared to 81.2% of 2024 graduates.

“Compared to earlier classes, they were more likely to say they were unsure about their plans, and more were planning to enter the military, suggesting they were unsure about private-sector employment,” NACE said in an Oct. 30 announcement regarding the report.


An addendum from DSC:
While we’re talking the workplace, careers, jobs, and such involving higher education, also see:

Careers in Educational Development with Leslie Cramblet Alvarez and Chris Hakala — from intentionalteaching.buzzsprout.com by Derek Bruff

On the show today I talk with Leslie Cramblet Alvarez and Chris Hakala, authors of the new book Understanding Educational Developers: Tales from the Center from Routledge Press. The book blends scholarship and personal narratives to explore the career trajectories of the professionals who work at CTLs (Centers for Teaching & Learning). How do academics move into these careers? And what can these careers look like over time?

Leslie Cramblet Alvarez is assistant vice provost and director of the Office of Teaching and Learning at the University of Denver. Chris Hakala is director for the Center for Excellence in Teaching, Learning, and Scholarship and professor of psychology at Springfield College.

I wanted to talk with Chris and Leslie about what they discovered while writing their book. I also wanted to know what advice they had for navigating educational development careers here in the U.S. in 2025, with higher education under attack from the federal government, a looming demographic cliff affecting enrollment and tuition, and a budget situation that for more institutions is not rosy. Leslie and Chris offer advice for faculty considering a move into a faculty development role, as well as for those of us current working at CTLs trying to plan our careers.

 

The Other Regulatory Time Bomb — from onedtech.philhillaa.com by Phil Hill
Higher ed in the US is not prepared for what’s about to hit in April for new accessibility rules

Most higher-ed leaders have at least heard that new federal accessibility rules are coming in 2026 under Title II of the ADA, but it is apparent from conversations at the WCET and Educause annual conferences that very few understand what that actually means for digital learning and broad institutional risk. The rule isn’t some abstract compliance update: it requires every public institution to ensure that all web and media content meets WCAG 2.1 AA, including the use of audio descriptions for prerecorded video. Accessible PDF documents and video captions alone will no longer be enough. Yet on most campuses, the conversation has been understood only as a buzzword, delegated to accessibility coordinators and media specialists who lack the budget or authority to make systemic changes.

And no, relying on faculty to add audio descriptions en masse is not going to happen.

The result is a looming institutional risk that few presidents, CFOs, or CIOs have even quantified.

 

…the above posting links to:

Higher Ed Is Sleepwalking Toward Obsolescence— And AI Won’t Be the Cause, Just the Accelerant — from substack.com by Steven Mintz
AI Has Exposed Higher Ed’s Hollow Core — The University Must Reinvent Itself or Fade

It begins with a basic reversal of mindset: Stop treating AI as a threat to be policed. Start treating it as the accelerant that finally forces us to build the education we should have created decades ago.

A serious institutional response would demand — at minimum — six structural commitments:

  • Make high-intensity human learning the norm.  …
  • Put active learning at the center, not the margins.  …
  • Replace content transmission with a focus on process.  …
  • Mainstream high-impact practices — stop hoarding them for honors students.  …
  • Redesign assessment to make learning undeniable.  …

And above all: Instructional design can no longer be a private hobby.


Teaching with AI: From Prohibition to Partnership for Critical Thinking — from facultyfocus.com by Michael Kiener, PhD, CRC

How to Integrate AI Developmentally into Your Courses

  • Lower-Level Courses: Focus on building foundational skills, which includes guided instruction on how to use AI responsibly. This moves the strategy beyond mere prohibition.
  • Mid-Level Courses: Use AI as a scaffold where faculty provide specific guidelines on when and how to use the tool, preparing students for greater independence.
  • Upper-Level/Graduate Courses: Empower students to evaluate AI’s role in their learning. This enables them to become self-regulated learners who make informed decisions about their tools.
  • Balanced Approach: Make decisions about AI use based on the content being learned and students’ developmental needs.

Now that you have a framework for how to conceptualize including AI into your courses here are a few ideas on scaffolding AI to allow students to practice using technology and develop cognitive skills.




80 per cent of young people in the UK are using AI for their schoolwork — from aipioneers.org by Graham Attwell

What was encouraging, though, is that students aren’t just passively accepting this new reality. They are actively asking for help. Almost half want their teachers to help them figure out what AI-generated content is trustworthy, and over half want clearer guidelines on when it’s appropriate to use AI in their work. This isn’t a story about students trying to cheat the system; it’s a story about a generation grappling with a powerful new technology and looking to their educators for guidance. It echoes a sentiment I heard at the recent AI Pioneers’ Conference – the issue of AI in education is fundamentally pedagogical and ethical, not just technological.


 

“OpenAI’s Atlas: the End of Online Learning—or Just the Beginning?” [Hardman] + other items re: AI in our LE’s

OpenAI’s Atlas: the End of Online Learning—or Just the Beginning? — from drphilippahardman.substack.com by Dr. Philippa Hardman

My take is this: in all of the anxiety lies a crucial and long-overdue opportunity to deliver better learning experiences. Precisely because Atlas perceives the same context in the same moment as you, it can transform learning into a process aligned with core neuro-scientific principles—including active retrieval, guided attention, adaptive feedback and context-dependent memory formation.

Perhaps in Atlas we have a browser that for the first time isn’t just a portal to information, but one which can become a co-participant in active cognitive engagement—enabling iterative practice, reflective thinking, and real-time scaffolding as you move through challenges and ideas online.

With this in mind, I put together 10 use cases for Atlas for you to try for yourself.

6. Retrieval Practice
What:
Pulling information from memory drives retention better than re-reading.
Why: Practice testing delivers medium-to-large effects (Adesope et al., 2017).
Try: Open a document with your previous notes. Ask Atlas for a mixed activity set: “Quiz me on the Krebs cycle—give me a near-miss, high-stretch MCQ, then a fill-in-the-blank, then ask me to explain it to a teen.”
Atlas uses its browser memory to generate targeted questions from your actual study materials, supporting spaced, varied retrieval.




From DSC:
A quick comment. I appreciate these ideas and approaches from Katarzyna and Rita. I do think that someone is going to want to be sure that the AI models/platforms/tools are given up-to-date information and updated instructions — i.e., any new procedures, steps to take, etc. Perhaps I’m missing the boat here, but an internal AI platform is going to need to have access to up-to-date information and instructions.


 

Is An Internship In College More Important Than The Degree Itself? — from forbes.com by Brandon Busteed

While confidence in higher education has eroded and more Americans are questioning the importance of a degree, the demand for internships among college students is skyrocketing and the odds of getting an internship at a major company are now lower than getting into the Ivy League. This begs the question: are we at a point where an internship is as valuable – or perhaps more so – than a degree itself?

While concerns about degree ROI were on the rise, the value of internships and other work-integrated learning opportunities was becoming increasingly apparent. New research and analysis have shown us how valuable it is for a student to have an internship during college: it doubles the odds they have a good job waiting for them upon graduation and doubles their odds of being engaged in their work over their lifetime. Although there are some variations in those outcomes by choice of college or academic major, those variations pale in comparison to the impact of having an internship. In short, a collegiate internship experience is a more important indicator of these outcomes than alma mater or major.

 

Chegg CEO steps down amid major AI-driven restructure — from linkedin.com by Megan McDonough

Edtech firm Chegg confirmed Monday it is reducing its workforce by 45%, or 388 employees globally, and its chief executive officer is stepping down. Current CEO Nathan Schultz will be replaced effective immediately by executive chairman (and former CEO) Dan Rosensweig. The rise of AI-powered tools has dealt a massive blow to the online homework helper and led to “substantial” declines in revenue and traffic. Company shares have slipped over 10% this year. Chegg recently explored a possible sale, but ultimately decided to keep the company intact.

 

Is Your Institution Ready for the Earnings Premium Buzzsaw? — from ailearninsights.substack.com by Alfred Essa

On Wednesday [October 29th, 2025], I’m launching the Beta version of an Education Accountability Website (”EDU Accountability Lab”). It analyzes federal student aid, institutional outcomes, and accountability metrics across 6,000+ colleges and universities in the US.

Our Mission
The EDU Accountability Lab delivers independent, data-driven analysis of higher education with a focus on accountability, affordability, and outcomes. Our audience includes policymakers, researchers, and taxpayers who seek greater transparency and effectiveness in postsecondary education. We take no advocacy position on specific institutions, programs, metrics, or policies. Our goal is to provide clear and well-documented methods that support policy discussions, strengthen institutional accountability, and improve public understanding of the value of higher education.

But right now, there’s one area demanding urgent attention.

Starting July 1, 2026, every degree program at every institution receiving federal student aid must prove its graduates earn more than people without that credential—or lose Title IV eligibility.

This isn’t about institutions passing or failing. It’s about programs. Every Bachelor’s in Psychology. Every Master’s in Education. Every Associate in Nursing. Each one assessed separately. Each one facing the same pass-or-fail tests.

 

Resilient by Design: The Future of America’s Community Colleges — from aacc.nche.edu

This report highlights several truths:

  • Leadership capacity must expand. Presidents and leaders are now expected to be fundraisers, policy navigators, cultural change agents, and data-informed strategists. Leadership can no longer be about a single individual—it must be a team sport. AACC is charged with helping you and your teams build these capacities through leadership academies, peer learning communities, and practical toolkits.
  • The strength of our network is our greatest asset. No college faces its challenges alone, because within our membership there are leaders who have already innovated, stumbled, and succeeded. Resilient by Design urges AACC to serve as the connector and amplifier of this collective wisdom, developing playbooks and scaling proven practices in areas from guided pathways to artificial intelligence to workforce partnerships.
  • Innovation in models and tools is urgent. Budgets must be strategic, business models must be reimagined, and ROI must be proven—not only to funders and policymakers, but to the students and communities we serve. Community colleges must claim their role as engines of economic vitality and social mobility, advancing both immediate workforce needs and long-term wealth-building for students.
  • Policy engagement must be deepened. Federal advocacy remains essential, but the daily realities of our institutions are shaped by state and regional policy. AACC will increasingly support members with state-level resources, legislative templates, and partnerships that equip you to advocate effectively in your unique contexts.
  • Employer engagement must become transformational. Students deserve not just degrees, but careers. The report challenges us to create career-connected colleges where employers co-design curricula, offer meaningful work-based learning, and help ensure graduates are not just prepared for today’s jobs but resilient for tomorrow’s.
 

Entrepreneurship: The New Core Curriculum — from gettingsmart.com by Tom Vander Ark

Key Points

  • Entrepreneurship education fosters resilience, creativity, and financial literacy—skills critical for success in an unpredictable, tech-driven world.
  • Programs like NFTE, Junior Achievement, and Uncharted Learning empower students by offering real-world entrepreneurial experiences and mentorship.

“Entrepreneurship is the job of the future.”

— Charles Fadel, Education for the Age of AI

This shift requires a radical re-evaluation of what we teach. Education leaders across the country are realizing that the most valuable skill we can impart is not accounting or marketing, but the entrepreneurial mindset. This mindset—built on resilience, creative problem-solving, comfort with ambiguity, and the ability to pivot—is essential in startups, as an intrapreuer in big organizations, or as a citizen working for the common good.

 

Digest #182: How To Increase (Self-)Motivation — from lifehack.org by Carolina Kuepper-Tetzel

No matter whether you are a student or a teacher, sometimes it can be difficult to find motivation to start or complete a task. Instead, you may spend hours procrastinating with other activities and that opens an unhelpful cycle of stress and unhappiness. Stressful environments which are common in educational settings can increase the likelihood of maladaptive procrastination (1) and hamper motivation. This digest offers four resources on ways to think about and boost (self-)motivation.

Also see:

 
© 2025 | Daniel Christian