Teacher Shortage: Is Hybrid or Remote Teaching the Answer? — from edtechmagazine.com by Adam Stone
In these uncertain times, K–12 schools use technology to better support students and teachers.

How Can Remote or Hybrid Teaching Help?
A shift to virtual learning can help close the gaps.

First, remote work can draw more people into the field. “For some folks, particularly with the pandemic and teaching for a year or more online, they found that model appealing to them from a professional and personal standpoint,” Carbaugh says.

While many educators still prefer face-to-face interactions, he says, others may find the ability to work from home appealing.

Virtual learning can also broaden the candidate pool in hard-to-fill roles. In STEM, for instance, “you might have someone who is willing to teach a class for you in addition to their normal job,” Speegle says. “They can teach computer science, biology or calculus for an hour a day, and they’re done.”


What Happens When Public School Districts Embrace Hybrid Schools? — from asthe74million.org by Eric Wearne & Tom Loud
With a fifth of its school-age children engaged in homeschooling, one Tennessee district found a way to connect them to the public system

With one in five school-age children engaged in homeschooling, Blount County Schools decided in 2018 to offer an option aimed at bridging the best of both homeschooling and public school, while offering a flexible schedule and college preparatory academics.

While the hybrid schooling model is not necessarily new, two developments have emerged in recent years. First, interest in attending, founding, and working at these schools has increased since the Covid pandemic; and second, conventional public-school systems are starting to get into the game.


Launchpad Jobs — from burningglassinstitute.org; via Paul Fain’s Education Pipeline posting

Launchpad Jobs highlights how nondegree workers can achieve career success through strategic job choices. It reveals that nearly 2 million workers without college degrees earn six-figure salaries, demonstrating that fulfilling and well-paying careers are accessible without a traditional four-year education.

The report identifies key 73 roles, termed “Launchpad Jobs,” that offer a combination of strong wages, job stability, and upward mobility. These include positions such as EMTs, electricians, and bank tellers, which often serve as steppingstones to long-term success. Using big data analysis of career histories this report maps the trajectories of workers starting in various roles, showcasing how initial job choices influence future earnings and advancement potential.


Why College Freshman Enrollment Declined and What it Could Mean for Students — from usnews.com by Sarah Wood
Experts cite possible reasons for the 5% overall enrollment drop in fall 2024 and implications for the current admission cycle.


From DSC:
Speaking of learning ecosystems, this next piece is absolutely incredible in terms of learning ecosystems from other nations!!!

China leads world in massive open online courses: Ministry of Education — from globaltimes.cn by  Chen Xi; via GSV

China has established the world’s largest online education system, according to a document sent by the Ministry of Education to the Global Times on Wednesday.

As of now, the country has developed over 30 various online course platforms, with more than 97,000 massive open online courses (MOOCs) made available, 483 million registered users, and 1.39 billion learning instances. Additionally, 440 million instances of students obtaining course credits have been recorded, making China’s number of MOOCs and learners the highest in the world, according to the document.

Furthermore, a national smart education platform – the Smart Education of China in Higher Education – has launched 31,000 high-quality online courses, with 78,000 teachers participating in teaching and over 16.82 million users visiting, with more than 93 million visits, covering 183 countries and regions worldwide.

Many of these courses have garnered high praise among global students. 


2025 Job Skills Report — from coursera.org

Uncover the fastest-growing skills with the Job Skills Report 2025. This practical resource draws on data from Coursera’s 5 million enterprise learners to highlight the skills and learning experiences that employees, students, and job seekers will prioritize for career success* in 2025.

This year’s report reveals that generative AI (GenAI) is the most in-demand skill, with enterprise course enrollments soaring by 866% year-over-year. By upskilling learners globally, industry, higher education, and governments can unlock AI’s potential $15.7 trillion in global economic value ?by 2030.**

Access the report to:

  • Identify the fastest-growing skills in AI, business, data science, and technology.
  • Compare skill priorities of students, employees, and job seekers.
  • Understand how learners engage with AI learning experiences.

Break the monopoly on higher education pathways — from fastcompany.com by Antonio Gutierrez; via GSV
New models prove that younger and underserved populations are finding success with skills-based programs and hybrid educational models.

The Duet-SNHU model proves that accessible, flexible, and cost-effective alternatives are possible and scalable. Meanwhile, the explosion of nondegree credentials offers additional pathways to skills-focused career readiness, reflecting a growing appetite for innovation in education. To remain competitive in the global economy, the U.S. must embrace these alternatives while reforming traditional institutions.

Policymakers must prioritize funding based on performance metrics like graduation rates and job placements, and accreditors must hold institutions accountable for real-world outcomes. Business leaders, educators, and community stakeholders must champion scalable models that deliver equity and opportunity. The stakes are too high to cling to an outdated system. By disrupting the status quo, we can create an education system that serves all Americans and strengthens the economy for generations to come.

 

Episode 302: A Practical Roadmap for AI in K-12 Education with Mike Kentz & Nick Potkalitsky, PhD

In this episode of My EdTech Life, I had the pleasure of interviewing Mike Kentz and Nick Potkalitsky, PhD, to discuss their new book, AI in Education: The K-12 Roadmap to Teacher-Led Transformation. We dive into the transformative power of AI in education, exploring its potential for personalization, its impact on traditional teaching practices, and the critical need for teacher-driven experimentation.


Striking a Balance: Navigating the Ethical Dilemmas of AI in Higher Education — from er.educause.edu by Katalin Wargo and Brier Anderson
Navigating the complexities of artificial intelligence (AI) while upholding ethical standards requires a balanced approach that considers the benefits and risks of AI adoption.

As artificial intelligence (AI) continues to transform the world—including higher education—the need for responsible use has never been more critical. While AI holds immense potential to enhance teaching and learning, ethical considerations around social inequity, environmental concerns, and dehumanization continue to emerge. College and university centers for teaching and learning (CTLs), tasked with supporting faculty in best instructional practices, face growing pressure to take a balanced approach to adopting new technologies. This challenge is compounded by an unpredictable and rapidly evolving landscape. New AI tools surface almost daily. With each new tool, the educational possibilities and challenges increase exponentially. Keeping up is virtually impossible for CTLs, which historically have been institutional hubs for innovation. In fact, as of this writing, the There’s an AI for That website indicates that there are 23,208 AIs for 15,636 tasks for 4,875 jobs—with all three numbers increasing daily.

To support college and university faculty and, by extension, learners in navigating the complexities of AI integration while upholding ethical standards, CTLs must prioritize a balanced approach that considers the benefits and risks of AI adoption. Teaching and learning professionals need to expand their resources and support pathways beyond those solely targeting how to leverage AI or mitigate academic integrity violations. They need to make a concerted effort to promote critical AI literacy, grapple with issues of social inequity, examine the environmental impact of AI technologies, and promote human-centered design principles.1


5 Free AI Tools For Learning & Exploration — from whytryai.com by Daniel Nest
Have fun exploring new topics with these interactive sites.

We’re truly spoiled for choice when it comes to AI learning tools.

In principle, any free LLM can become an endlessly patient tutor or an interactive course-maker.

If that’s not enough, tools like NotebookLM’s “Audio Overviews” and ElevenLabs’ GenFM can turn practically any material into a breezy podcast.

But what if you’re looking to explore new topics in a way that’s more interactive than vanilla chatbots and more open-ended than source-grounded NotebookLM?

Well, then you might want to give one of these free-to-try learning tools a go.

 

What Students Are Saying About Teachers Using A.I. to Grade — from nytimes.com by The Learning Network; via Claire Zau
Teenagers and educators weigh in on a recent question from The Ethicist.

Is it unethical for teachers to use artificial intelligence to grade papers if they have forbidden their students from using it for their assignments?

That was the question a teacher asked Kwame Anthony Appiah in a recent edition of The Ethicist. We posed it to students to get their take on the debate, and asked them their thoughts on teachers using A.I. in general.

While our Student Opinion questions are usually reserved for teenagers, we also heard from a few educators about how they are — or aren’t — using A.I. in the classroom. We’ve included some of their answers, as well.


OpenAI wants to pair online courses with chatbots — from techcrunch.com by Kyle Wiggers; via James DeVaney on LinkedIn

If OpenAI has its way, the next online course you take might have a chatbot component.

Speaking at a fireside on Monday hosted by Coeus Collective, Siya Raj Purohit, a member of OpenAI’s go-to-market team for education, said that OpenAI might explore ways to let e-learning instructors create custom “GPTs” that tie into online curriculums.

“What I’m hoping is going to happen is that professors are going to create custom GPTs for the public and let people engage with content in a lifelong manner,” Purohit said. “It’s not part of the current work that we’re doing, but it’s definitely on the roadmap.”


15 Times to use AI, and 5 Not to — from oneusefulthing.org by Ethan Mollick
Notes on the Practical Wisdom of AI Use

There are several types of work where AI can be particularly useful, given the current capabilities and limitations of LLMs. Though this list is based in science, it draws even more from experience. Like any form of wisdom, using AI well requires holding opposing ideas in mind: it can be transformative yet must be approached with skepticism, powerful yet prone to subtle failures, essential for some tasks yet actively harmful for others. I also want to caveat that you shouldn’t take this list too seriously except as inspiration – you know your own situation best, and local knowledge matters more than any general principles. With all that out of the way, below are several types of tasks where AI can be especially useful, given current capabilities—and some scenarios where you should remain wary.


Learning About Google Learn About: What Educators Need To Know — from techlearning.com by Ray Bendici
Google’s experimental Learn About platform is designed to create an AI-guided learning experience

Google Learn About is a new experimental AI-driven platform available that provides digestible and in-depth knowledge about various topics, but showcases it all in an educational context. Described by Google as a “conversational learning companion,” it is essentially a Wikipedia-style chatbot/search engine, and then some.

In addition to having a variety of already-created topics and leading questions (in areas such as history, arts, culture, biology, and physics) the tool allows you to enter prompts using either text or an image. It then provides a general overview/answer, and then suggests additional questions, topics, and more to explore in regard to the initial subject.

The idea is for student use is that the AI can help guide a deeper learning process rather than just provide static answers.


What OpenAI’s PD for Teachers Does—and Doesn’t—Do — from edweek.org by Olina Banerji
What’s the first thing that teachers dipping their toes into generative artificial intelligence should do?

They should start with the basics, according to OpenAI, the creator of ChatGPT and one of the world’s most prominent artificial intelligence research companies. Last month, the company launched an hour-long, self-paced online course for K-12 teachers about the definition, use, and harms of generative AI in the classroom. It was launched in collaboration with Common Sense Media, a national nonprofit that rates and reviews a wide range of digital content for its age appropriateness.

…the above article links to:

ChatGPT Foundations for K–12 Educators — from commonsense.org

This course introduces you to the basics of artificial intelligence, generative AI, ChatGPT, and how to use ChatGPT safely and effectively. From decoding the jargon to responsible use, this course will help you level up your understanding of AI and ChatGPT so that you can use tools like this safely and with a clear purpose.

Learning outcomes:

  • Understand what ChatGPT is and how it works.
  • Demonstrate ways to use ChatGPT to support your teaching practices.
  • Implement best practices for applying responsible AI principles in a school setting.

Takeaways From Google’s Learning in the AI Era Event — from edtechinsiders.substack.com by Sarah Morin, Alex Sarlin, and Ben Kornell
Highlights from Our Day at Google + Behind-the-Scenes Interviews Coming Soon!

  1. NotebookLM: The Start of an AI Operating System
  2. Google is Serious About AI and Learning
  3. Google’s LearnLM Now Available in AI Studio
  4. Collaboration is King
  5. If You Give a Teacher a Ferrari

Rapid Responses to AI — from the-job.beehiiv.com by Paul Fain
Top experts call for better data and more short-term training as tech transforms jobs.

AI could displace middle-skill workers and widen the wealth gap, says landmark study, which calls for better data and more investment in continuing education to help workers make career pivots.

Ensuring That AI Helps Workers
Artificial intelligence has emerged as a general purpose technology with sweeping implications for the workforce and education. While it’s impossible to precisely predict the scope and timing of looming changes to the labor market, the U.S. should build its capacity to rapidly detect and respond to AI developments.
That’s the big-ticket framing of a broad new report from the National Academies of Sciences, Engineering, and Medicine. Congress requested the study, tapping an all-star committee of experts to assess the current and future impact of AI on the workforce.

“In contemplating what the future holds, one must approach predictions with humility,” the study says…

“AI could accelerate occupational polarization,” the committee said, “by automating more nonroutine tasks and increasing the demand for elite expertise while displacing middle-skill workers.”

The Kicker: “The education and workforce ecosystem has a responsibility to be intentional with how we value humans in an AI-powered world and design jobs and systems around that,” says Hsieh.


AI Predators: What Schools Should Know and Do — from techlearning.com by Erik Ofgang
AI is increasingly be used by predators to connect with underage students online. Yasmin London, global online safety expert at Qoria and a former member of the New South Wales Police Force in Australia, shares steps educators can take to protect students.

The threat from AI for students goes well beyond cheating, says Yasmin London, global online safety expert at Qoria and a former member of the New South Wales Police Force in Australia.

Increasingly at U.S. schools and beyond, AI is being used by predators to manipulate children. Students are also using AI generate inappropriate images of other classmates or staff members. For a recent report, Qoria, a company that specializes in child digital safety and wellbeing products, surveyed 600 schools across North America, UK, Australia, and New Zealand.


Why We Undervalue Ideas and Overvalue Writing — from aiczar.blogspot.com by Alexander “Sasha” Sidorkin

A student submits a paper that fails to impress stylistically yet approaches a worn topic from an angle no one has tried before. The grade lands at B minus, and the student learns to be less original next time. This pattern reveals a deep bias in higher education: ideas lose to writing every time.

This bias carries serious equity implications. Students from disadvantaged backgrounds, including first-generation college students, English language learners, and those from under-resourced schools, often arrive with rich intellectual perspectives but struggle with academic writing conventions. Their ideas – shaped by unique life experiences and cultural viewpoints – get buried under red ink marking grammatical errors and awkward transitions. We systematically undervalue their intellectual contributions simply because they do not arrive in standard academic packaging.


Google Scholar’s New AI Outline Tool Explained By Its Founder — from techlearning.com by Erik Ofgang
Google Scholar PDF reader uses Gemini AI to read research papers. The AI model creates direct links to the paper’s citations and a digital outline that summarizes the different sections of the paper.

Google Scholar has entered the AI revolution. Google Scholar PDF reader now utilizes generative AI powered by Google’s Gemini AI tool to create interactive outlines of research papers and provide direct links to sources within the paper. This is designed to make reading the relevant parts of the research paper more efficient, says Anurag Acharya, who co-founded Google Scholar on November 18, 2004, twenty years ago last month.


The Four Most Powerful AI Use Cases in Instructional Design Right Now — from drphilippahardman.substack.com by Dr. Philippa Hardman
Insights from ~300 instructional designers who have taken my AI & Learning Design bootcamp this year

  1. AI-Powered Analysis: Creating Detailed Learner Personas…
  2. AI-Powered Design: Optimising Instructional Strategies…
  3. AI-Powered Development & Implementation: Quality Assurance…
  4. AI-Powered Evaluation: Predictive Impact Assessment…

How Are New AI Tools Changing ‘Learning Analytics’? — from edsurge.com by Jeffrey R. Young
For a field that has been working to learn from the data trails students leave in online systems, generative AI brings new promises — and new challenges.

In other words, with just a few simple instructions to ChatGPT, the chatbot can classify vast amounts of student work and turn it into numbers that educators can quickly analyze.

Findings from learning analytics research is also being used to help train new generative AI-powered tutoring systems.

Another big application is in assessment, says Pardos, the Berkeley professor. Specifically, new AI tools can be used to improve how educators measure and grade a student’s progress through course materials. The hope is that new AI tools will allow for replacing many multiple-choice exercises in online textbooks with fill-in-the-blank or essay questions.


Increasing AI Fluency Among Enterprise Employees, Senior Management & Executives — from learningguild.com by Bill Brandon

This article attempts, in these early days, to provide some specific guidelines for AI curriculum planning in enterprise organizations.

The two reports identified in the first paragraph help to answer an important question. What can enterprise L&D teams do to improve AI fluency in their organizations?

You could be surprised how many software products have added AI features. Examples (to name a few) are productivity software (Microsoft 365 and Google Workspace); customer relationship management (Salesforce and Hubspot); human resources (Workday and Talentsoft); marketing and advertising (Adobe Marketing Cloud and Hootsuite); and communication and collaboration (Slack and Zoom). Look for more under those categories in software review sites.

 

VLOG: Learning in Medical School — from learningscientists.org by The Learning Scientists

NOTE:
  • This vlog is for anyone in medical school, interested in medical school, or just curious about what learning is like in medical school!

In this vlog Althea and Cindy talk about their work with medical student learners. They discuss common learning challenges in medical school, efficient learning strategies, learning in the context of attentional disorders and anxiety, and what it means to prepare future healers.

 

US College Closures Are Expected to Soar, Fed Research Says — from bloomberg.com

  • Fed research created predictive model of college stress
  • Worst-case scenario forecasts 80 additional closures

The number of colleges that close each year is poised to significantly increase as schools contend with a slowdown in prospective students.

That’s the finding of a new working paper published by the Federal Reserve Bank of Philadelphia, where researchers created predictive models of schools’ financial distress using metrics like enrollment and staffing patterns, sources of revenue and liquidity data. They overlayed those models with simulations to estimate the likely increase of future closures.

Excerpt from the working paper:

We document a high degree of missing data among colleges that eventually close and show that this is a key impediment to identifying at risk institutions. We then show that modern machine learning techniques, combined with richer data, are far more effective at predicting college closures than linear probability models, and considerably more effective than existing accountability metrics. Our preferred model, which combines an off-the-shelf machine learning algorithm with the richest set of explanatory variables, can significantly improve predictive accuracy even for institutions with complete data, but is particularly helpful for predicting instances of financial distress for institutions with spotty data.


From DSC:
Questions that come to my mind here include:

  • Shouldn’t the public — especially those relevant parents and students — be made more aware of these types of papers and reports?
    .
  • How would any of us like finishing up 1-3 years of school and then being told that our colleges or universities were closing, effective immediately? (This has happened many times already.) and with the demographic cliff starting to hit higher education, this will happen even more now.
    .
    Adding insult to injury…when we transfer to different institutions, we’re told that many of our prior credits don’t transfer — thus adding a significant amount to the overall cost of obtaining our degrees.
    .
  • Would we not be absolutely furious to discover such communications from our prior — and new — colleges and universities?
    .
  • Will all of these types of closures move more people to this vision here?

Relevant excerpts from Ray Schroeder’s recent articles out at insidehighered.com:

Winds of Change in Higher Ed to Become a Hurricane in 2025

A number of factors are converging to create a huge storm. Generative AI advances, massive federal policy shifts, broad societal and economic changes, and the demographic cliff combine to create uncertainty today and change tomorrow.

Higher Education in 2025: AGI Agents to Displace People

The anticipated enrollment cliff, reductions in federal and state funding, increased inflation, and dwindling public support for tuition increases will combine to put even greater pressure on university budgets.


On the positive side of things, the completion rates have been getting better:

National college completion rate ticks up to 61.1% — from highereddive.com by Natalie Schwartz
Those who started at two-year public colleges helped drive the overall increase in students completing a credential.

Dive Brief:

  • Completion rates ticked up to 61.1% for students who entered college in fall 2018, a 0.5 percentage-point increase compared to the previous cohort, according to data released Wednesday by the National Student Clearinghouse Research Center.
  • The increase marks the highest six-year completion rate since 2007 when the clearinghouse began tracking the data. The growth was driven by fewer students stopping out of college, as well as completion gains among students who started at public two-year colleges.
  • “Higher completion rates are welcome news for colleges and universities still struggling to regain enrollment levels from before the pandemic,” Doug Shapiro, the research center’s executive director, said in a statement dated Wednesday.

Addendum:

Attention Please: Professors Struggle With Student Disengagement — from edsurge.com

The stakes are huge, because the concern is that maybe the social contract between students and professors is kind of breaking down. Do students believe that all this college lecturing is worth hearing? Or, will this moment force a change in the way college teaching is done?

 

What We Talk about When We Talk about Networking — from michelleweise.substack.com by Dr. Michelle Weise, Julia Freeland Fisher, and Nitzan Pelman
Networking, Social Capital & the Goldilocks Ask

I recently had a chance to sit down with Julia Freeland Fisher, Director of Education at the Christensen Institute, and Nitzan Pelman, CEO of Climb Together and founder of Climb Hire, for a live CGN webinar on tapping into our networks (some of you may recall, I wrote about these two phenomenal women in my post, “Who You Know … A Little Bit: The Power of Weak Ties”).

I love getting to learn from their constantly evolving thinking on cultivating and mobilizing social capital. And in this episode, we get super tactical on the how-to’s of networking for young people.

From DSC:
Tell your kids or grandkids to watch this. I didn’t have a CLUE about networking when I graduated from high school — and even from college. It took me years to get an accurate understanding of the place and power of networking. And that it’s not all about looking out for #1 and taking from/manipulating/exploiting others. But it’s about sharing resources, learning and connecting with others, helping others connect with relevant others, and more.

I hope that we can produce more items like this to help the next generation get started and navigate their careers.

 

Adapting to the future | Educause

Institutions are balancing capacity issues and rapid technological advancements—including artificial intelligence—while addressing a loss of trust in higher education.

To adapt to the future, technology and data leaders must work strategically to restore trust, prepare for policy updates, and plan for online education growth.



 
 

Hopping on the Affordability Bandwagon — from insidehighered.com by Liam Knox
Five selective colleges launched strikingly similar student aid initiatives last week for low- and middle-income students. What’s behind the frenzy to boost financial aid?

The announcements have come pouring in at a time when public resentment of elite institutions has reached a fever pitch, doubts about the value of college are at a historic high and the impact of the Supreme Court’s affirmative action ruling on demographics is becoming clear. And after last year’s bungled FAFSA rollout, families are warier than ever of financial aid promises.

“We know what’s going on with confidence in higher education, and one element of that is increasing cost and increasing debt levels,” said James Milliken, chancellor of the UT system.

It’s part of a broader marketing and recruitment effort to raise awareness of the financial aid resources at colleges with staggeringly high sticker prices—she calls it a “clear cost” initiative. And as more colleges expand financial aid, it creates a domino effect among peer institutions looking to compete for highly qualified applicants from lower income brackets, she said.

Tania LaViolet, director of research and innovation at the Aspen Institute

 

What DICE does in this posting will be available 24x7x365 in the future [Christian]

From DSC:
First of all, when you look at the following posting:


What Top Tech Skills Should You Learn for 2025? — from dice.com by Nick Kolakowski


…you will see that they outline which skills you should consider mastering in 2025 if you want to stay on top of the latest career opportunities. They then list more information about the skills, how you apply the skills, and WHERE to get those skills.

I assert that in the future, people will be able to see this information on a 24x7x365 basis.

  • Which jobs are in demand?
  • What skills do I need to do those jobs?
  • WHERE do I get/develop those skills?


And that last part (about the WHERE do I develop those skills) will pull from many different institutions, people, companies, etc.

BUT PEOPLE are the key! Oftentimes, we need to — and prefer to — learn with others!


 

Trade School Enrollment Surges Post-Pandemic, Outpacing Traditional Universities — from businesswire.com
New Report Highlights Growth in Healthcare and Culinary Arts Programs

CHICAGO–(BUSINESS WIRE)–A new report released today by Validated Insights, a higher education marketing firm, reveals a significant increase in trade school enrollment following the pandemic, with a 4.9% growth from 2020 to 2023. This surge contrasts sharply with a 0.6% decline in university enrollment during the same period, highlighting a growing preference for career-focused education.

The report highlights the diverse landscape of trade schools, with varying enrollment trends across different categories and subtypes. While some sectors face challenges, others, like Culinary Arts and Beauty and Wellness, present significant growth opportunities and shifting student attitudes.


A trend colleges might not want applicants to notice: It’s becoming easier to get in — from hechingerreport.orgby Jon Marcus
Despite public perception, and for the first time in decades, acceptance rates are going up

As enrollment in colleges and universities continues to decline — down by more than 2 million students, or 10 percent, in the 10 years ending 2022 — they’re not only casting wider nets. Something else dramatic is happening to the college application process, for the first time in decades:

It’s becoming easier to get in.

Colleges and universities, on average, are admitting a larger proportion of their applicants than they did 20 years ago, new research by the conservative think tank the American Enterprise Institute finds.


 

Integrating Active Learning in Large STEM Lectures — from scholarlyteacher.com by Gabriele Pinto

Key Statement: Implementing elements of active learning into a large course may seem daunting task, but think-pair-share aided by quizzing and clickers can be done in any size classroom.

Many teachers do not realize how seamless it can be to shift their lectures towards a more active learning environment. In this article, we looked at how think-pair-share (TPS) is a simple activity that can be easily introduced and integrated within a lecture framework. We also explored how clickers and quizzing may fit into course design to provide greater tools of participation for the students and enrich their classroom experience and study patterns. These implementations, which do not involve drastic and daunting changes to lecturing, will improve student engagement and learning, and will allow the instructor to better gauge the state of the class, evaluate and adjust content pacing accordingly, and enrich his own teaching experience, as well as the students’ education.

 

“The Value of Doing Things: What AI Agents Mean for Teachers” — from nickpotkalitsky.substack.com by guest author Jason Gulya, Professor of English and Applied Media at Berkeley College in New York City

AI Agents make me nervous. Really nervous.

I wish they didn’t.

I wish I could write that the last two years have made me more confident, more self-assured that AI is here to augment workers rather than replace them.

But I can’t.

I wish I could write that I know where schools and colleges will end up. I wish I could say that AI Agents will help us get where we need to be.

But I can’t.

At this point, today, I’m at a loss. I’m not sure where the rise of AI agents will take us, in terms of how we work and learn. I’m in the question-asking part of my journey. I have few answers.

So, let’s talk about where (I think) AI Agents will take education. And who knows? Maybe as I write I’ll come up with something more concrete.

It’s worth a shot, right?

From DSC: 
I completely agree with Jason’s following assertion:

A good portion of AI advancement will come down to employee replacement. And AI Agents push companies towards that. 

THAT’s where/what the ROI will be for corporations. They will make their investments up in the headcount area, and likely in other areas as well (product design, marketing campaigns, engineering-related items, and more). But how much time it takes to get there is a big question mark.

One last quote here…it’s too good not to include:

Behind these questions lies a more abstract, more philosophical one: what is the relationship between thinking and doing in a world of AI Agents and other kinds of automation?


How Good are Claude, ChatGPT & Gemini at Instructional Design? — from drphilippahardman.substack.com by Dr Philippa Hardman
A test of AI’s Instruction Design skills in theory & in practice

By examining models across three AI families—Claude, ChatGPT, and Gemini—I’ve started to identify each model’s strengths, limitations, and typical pitfalls.

Spoiler: my findings underscore that until we have specialised, fine-tuned AI copilots for instructional design, we should be cautious about relying on general-purpose models and ensure expert oversight in all ID tasks.


From DSC — I’m going to (have Nick) say this again:
I simply asked my students to use AI to brainstorm their own learning objectives. No restrictions. No predetermined pathways. Just pure exploration. The results? Astonishing.

Students began mapping out research directions I’d never considered. They created dialogue spaces with AI that looked more like intellectual partnerships than simple query-response patterns. 


The Digital Literacy Quest: Become an AI Hero — from gamma.app

From DSC:
I have not gone through all of these online-based materials, but I like what they are trying to get at:

  • Confidence with AI
    Students gain practical skills and confidence in using AI tools effectively.
  • Ethical Navigation
    Learn to navigate the ethical landscape of AI with integrity and responsibility. Make informed decisions about AI usage.
  • Mastering Essential Skills
    Develop critical thinking and problem-solving skills in the context of AI.

 


Expanding access to the Gemini app for teen students in education — from workspaceupdates.googleblog.com

Google Workspace for Education admins can now turn on the Gemini app with added data protection as an additional service for their teen users (ages 13+ or the applicable age in your country) in the following languages and countries. With added data protection, chats are not reviewed by human reviewers or otherwise used to improve AI models. The Gemini app will be a core service in the coming weeks for Education Standard and Plus users, including teens,


5 Essential Questions Educators Have About AI  — from edsurge.com by Annie Ning

Recently, I spoke with several teachers regarding their primary questions and reflections on using AI in teaching and learning. Their thought-provoking responses challenge us to consider not only what AI can do but what it means for meaningful and equitable learning environments. Keeping in mind these reflections, we can better understand how we move forward toward meaningful AI integration in education.


FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI — from epoch.ai
FrontierMath presents hundreds of unpublished, expert-level mathematics problems that specialists spend days solving. It offers an ongoing measure of AI complex mathematical reasoning progress.

We’re introducing FrontierMath, a benchmark of hundreds of original, expert-crafted mathematics problems designed to evaluate advanced reasoning capabilities in AI systems. These problems span major branches of modern mathematics—from computational number theory to abstract algebraic geometry—and typically require hours or days for expert mathematicians to solve.


Rising demand for AI courses in UK universities shows 453% growth as students adapt to an AI-driven job market — from edtechinnovationhub.com

The demand for artificial intelligence courses in UK universities has surged dramatically over the past five years, with enrollments increasing by 453%, according to a recent study by Currys, a UK tech retailer.

The study, which analyzed UK university admissions data and surveyed current students and recent graduates, reveals how the growing influence of AI is shaping students’ educational choices and career paths.

This growth reflects the broader trend of AI integration across industries, creating new opportunities while transforming traditional roles. With AI’s influence on career prospects rising, students and graduates are increasingly drawn to AI-related courses to stay competitive in a rapidly changing job market.

 

Is Generative AI and ChatGPT healthy for Students? — from ai-supremacy.com by Michael Spencer and Nick Potkalitsky
Beyond Text Generation: How AI Ignites Student Discovery and Deep Thinking, according to firsthand experiences of Teachers and AI researchers like Nick Potkalitsky.

After two years of intensive experimentation with AI in education, I am witnessing something amazing unfolding before my eyes. While much of the world fixates on AI’s generative capabilities—its ability to create essays, stories, and code—my students have discovered something far more powerful: exploratory AI, a dynamic partner in investigation and critique that’s transforming how they think.

They’ve moved beyond the initial fascination with AI-generated content to something far more sophisticated: using AI as an exploratory tool for investigation, interrogation, and intellectual discovery.

Instead of the much-feared “shutdown” of critical thinking, we’re witnessing something extraordinary: the emergence of what I call “generative thinking”—a dynamic process where students learn to expand, reshape, and evolve their ideas through meaningful exploration with AI tools. Here I consciously reposition the term “generative” as a process of human origination, although one ultimately spurred on by machine input.


A Road Map for Leveraging AI at a Smaller Institution — from er.educause.edu by Dave Weil and Jill Forrester
Smaller institutions and others may not have the staffing and resources needed to explore and take advantage of developments in artificial intelligence (AI) on their campuses. This article provides a roadmap to help institutions with more limited resources advance AI use on their campuses.

The following activities can help smaller institutions better understand AI and lay a solid foundation that will allow them to benefit from it.

  1. Understand the impact…
  2. Understand the different types of AI tools…
  3. Focus on institutional data and knowledge repositories…

Smaller institutions do not need to fear being left behind in the wake of rapid advancements in AI technologies and tools. By thinking intentionally about how AI will impact the institution, becoming familiar with the different types of AI tools, and establishing a strong data and analytics infrastructure, institutions can establish the groundwork for AI success. The five fundamental activities of coordinating, learning, planning and governing, implementing, and reviewing and refining can help smaller institutions make progress on their journey to use AI tools to gain efficiencies and improve students’ experiences and outcomes while keeping true to their institutional missions and values.

Also from Educause, see:


AI school opens – learners are not good or bad but fast and slow — from donaldclarkplanb.blogspot.com by Donald Clark

That is what they are doing here. Lesson plans focus on learners rather than the traditional teacher-centric model. Assessing prior strengths and weaknesses, personalising to focus more on weaknesses and less on things known or mastered. It’s adaptive, personalised learning. The idea that everyone should learn at the exactly same pace, within the same timescale is slightly ridiculous, ruled by the need for timetabling a one to many, classroom model.

For the first time in the history of our species we have technology that performs some of the tasks of teaching. We have reached a pivot point where this can be tried and tested. My feeling is that we’ll see a lot more of this, as parents and general teachers can delegate a lot of the exposition and teaching of the subject to the technology. We may just see a breakthrough that transforms education.


Agentic AI Named Top Tech Trend for 2025 — from campustechnology.com by David Ramel

Agentic AI will be the top tech trend for 2025, according to research firm Gartner. The term describes autonomous machine “agents” that move beyond query-and-response generative chatbots to do enterprise-related tasks without human guidance.

More realistic challenges that the firm has listed elsewhere include:

    • Agentic AI proliferating without governance or tracking;
    • Agentic AI making decisions that are not trustworthy;
    • Agentic AI relying on low-quality data;
    • Employee resistance; and
    • Agentic-AI-driven cyberattacks enabling “smart malware.”

Also from campustechnology.com, see:


Three items from edcircuit.com:


All or nothing at Educause24 — from onedtech.philhillaa.com by Kevin Kelly
Looking for specific solutions at the conference exhibit hall, with an educator focus

Here are some notable trends:

  • Alignment with campus policies: …
  • Choose your own AI adventure: …
  • Integrate AI throughout a workflow: …
  • Moving from prompt engineering to bot building: …
  • More complex problem-solving: …


Not all AI news is good news. In particular, AI has exacerbated the problem of fraudulent enrollment–i.e., rogue actors who use fake or stolen identities with the intent of stealing financial aid funding with no intention of completing coursework.

The consequences are very real, including financial aid funding going to criminal enterprises, enrollment estimates getting dramatically skewed, and legitimate students being blocked from registering for classes that appear “full” due to large numbers of fraudulent enrollments.


 

 

How Legal Education Must Evolve In The Age Of AI: Insights From An In-House Legal Innovator — from by abovethelaw.com Olga Mack
Traditional legal education has remained largely unchanged for decades, focusing heavily on theoretical knowledge and case law analysis.

As we stand on the brink of a new era defined by artificial intelligence (AI) and data-driven decision-making, the question arises: How should legal education adapt to prepare the next generation of lawyers for the challenges ahead?

Here are three unconventional, actionable insights from our conversation that highlight the need for a radical rethinking of legal education.

  1. Integrate AI Education Into Every Aspect Of Legal Training…
  2. Adopt A ‘Technology-Agnostic’ Approach To AI Training…
  3. Redefine Success In Legal Education To Include Technological Proficiency…
 
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