‘Lazy and Mediocre’ HR Team Fired After Manager’s Own CV Gets Auto-Rejected in Seconds, Exposing System Failure — from ibtimes.co.uk by Vinay Patel
The automated system’s error highlights the potential for bias and inefficiency in technology-driven HR practices

An entire HR team was terminated after their manager discovered and confirmed that their system automatically rejected all candidates — including his own application.

The manager wrote in their comment, “Auto rejection systems from HR make me angry.” They explained that while searching for a new employee, their HR department could not find a single qualified candidate in three months. As expected, the suspicious manager decided to investigate.

“I created myself a new email and sent them a modified version of my CV with a fake name to see what was going on with the process,” they wrote. “And guess what, I got auto-rejected. HR didn’t even look at my CV.”

When the manager reported the issue to upper management, “half of the HR department was fired in the following weeks.” A typographical error with significant consequences caused the entire problem.

The manager works in the tech industry and was trying to hire developers. However, HR had set up the system to search for developers with expertise in the wrong development software and one that no longer exists.

From DSC:
Back in 2017, I had survived several rounds of layoffs at the then Calvin College (now Calvin University) but I didn’t survive the layoff of 12 people in the spring of 2017. I hadn’t needed to interview for a new job in quite a while. So boy, did I get a wake-up call with discovering that Applicant Tracking Systems existed and could be tough to get past. (Also, the old-school job replacement firm that Calvin hired wasn’t much help in dealing with them either.)

I didn’t like these ATSs then, and I still have my concerns about them now. The above article points out that my concerns were/are at least somewhat founded. And if you take the entire day to research and apply for a position — only to get an instant reply back from the ATS — it’s very frustrating and discouraging. 

Plus the ATSs may not pick up on nuances. An experienced human being might be able to see that a candidate’s skills are highly relevant and/or transferable to the position that they’re hiring for. 

Networking is key of course. But not everyone has been taught about networking and not everyone gets past the ATS to get their resume viewed by a pair of human eyes. HR, IT, and any other relevant groups here need to be very careful with programming their ATSs.

 

A Community College’s Guide to Building Strong Partnerships — from eddesignlab.org

This November 2024 guidebook offers higher education practitioners actionable strategies for building and sustaining partnerships that both meet regional needs and support students, families, and communities. This work was based on the design and delivery of dual enrollment pathways as part of the Lab’s Designers in Residence 2.0: Accelerating Pathways project.

The practices and case studies shared here are informed by higher education leaders across six community colleges as part of the Lab’s Designers in Residence program.

We have organized the guidebook based on core elements of a strong partnerships strategy, alongside how to establish a strong foundation and sustain and maintain the partnerships you’ve built. Through our research, we’ve identified four key elements of strong partnerships:

+ Communication and collaboration
+ Shared vision
+ Adaptive and responsive
+ Action-oriented

You will find guiding questions, tools, and case studies within each of the four elements.
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Also from The Education Design Lab:

 

The Real Deal — from workshift.org
A series exploring what we know about the quality of nondegree credentials.

The above link/page includes the posting:

Understanding Influencers in the World of Nondegree Credentials — by Michelle Van Noy and Tom Hilliard
There’s no single arbiter of nondegree quality, but rather a host of “quality influencers” who seek to shape the market.

They respond to needs that the degree-credit system has not efficiently met: quick start-up, shorter sequences, relationships with third-party credential issuers, real-time employer engagement, and so on. The complexity of the needs of the market and of learners has led to a proliferation of diverse credentials, and a landscape that continues to evolve in surprising directions.

Amid this complexity, there’s no one single arbiter of quality but rather a host of “quality influencers” who seek to shape the market in different ways. Exploring who those influencers are, how they approach their work, and what they seek to accomplish is essential to understanding what quality means for noncredit credentials—and what could happen in years to come.

 

 

AI Is Unavoidable, Not Inevitable — from marcwatkins.substack.com by Marc Watkins

I had the privilege of moderating a discussion between Josh Eyler and Robert Cummings about the future of AI in education at the University of Mississippi’s recent AI Winter Institute for Teachers. I work alongside both in faculty development here at the University of Mississippi. Josh’s position on AI sparked a great deal of debate on social media:

To make my position clear about the current AI in education discourse I want to highlight several things under an umbrella of “it’s very complicated.”

Most importantly, we all deserve some grace here. Dealing with generative AI in education isn’t something any of us asked for. It isn’t normal. It isn’t fixable by purchasing a tool or telling faculty to simply ‘prefer not to’ use AI. It is and will remain unavoidable for virtually every discipline taught at our institutions.

If one good thing happens because of generative AI let it be that it helps us clearly see how truly complicated our existing relationships with machines are now. As painful as this moment is, it might be what we need to help prepare us for a future where machines that mimic reasoning and human emotion refuse to be ignored.


“AI tutoring shows stunning results.”
See below article.


From chalkboards to chatbots: Transforming learning in Nigeria, one prompt at a time — from blogs.worldbank.org by Martín E. De Simone, Federico Tiberti, Wuraola Mosuro, Federico Manolio, Maria Barron, and Eliot Dikoru

Learning gains were striking
The learning improvements were striking—about 0.3 standard deviations. To put this into perspective, this is equivalent to nearly two years of typical learning in just six weeks. When we compared these results to a database of education interventions studied through randomized controlled trials in the developing world, our program outperformed 80% of them, including some of the most cost-effective strategies like structured pedagogy and teaching at the right level. This achievement is particularly remarkable given the short duration of the program and the likelihood that our evaluation design underestimated the true impact.

Our evaluation demonstrates the transformative potential of generative AI in classrooms, especially in developing contexts. To our knowledge, this is the first study to assess the impact of generative AI as a virtual tutor in such settings, building on promising evidence from other contexts and formats; for example, on AI in coding classes, AI and learning in one school in Turkey, teaching math with AI (an example through WhatsApp in Ghana), and AI as a homework tutor.

Comments on this article from The Rundown AI:

Why it matters: This represents one of the first rigorous studies showing major real-world impacts in a developing nation. The key appears to be using AI as a complement to teachers rather than a replacement — and results suggest that AI tutoring could help address the global learning crisis, particularly in regions with teacher shortages.


Other items re: AI in our learning ecosystems:

  • Will AI revolutionise marking? — from timeshighereducation.com by Rohim Mohammed
    Artificial intelligence has the potential to improve speed, consistency and detail in feedback for educators grading students’ assignments, writes Rohim Mohammed. Here he lists the pros and cons based on his experience
  • Marty the Robot: Your Classroom’s AI Companion — from rdene915.com by Dr. Rachelle Dené Poth
  • Generative Artificial Intelligence: Cautiously Recognizing Educational Opportunities — from scholarlyteacher.com by Todd Zakrajsek, University of North Carolina at Chapel Hill
  • Personal AI — from michelleweise.substack.com by Dr. Michelle Weise
    “Personalized” Doesn’t Have To Be a Buzzword
    Today, however, is a different kind of moment. GenAI is now rapidly evolving to the point where we may be able to imagine a new way forward. We can begin to imagine solutions truly tailored for each of us as individuals, our own personal AI (pAI). pAI could unify various silos of information to construct far richer and more holistic and dynamic views of ourselves as long-life learners. A pAI could become our own personal career navigator, skills coach, and storytelling agent. Three particular areas emerge when we think about tapping into the richness of our own data:

    • Personalized Learning Pathways & Dynamic Skill Assessment: …
    • Storytelling for Employers:…
    • Ongoing Mentorship and Feedback: …
  • Speak — a language learning app — via The Neuron

 

The Rise of the Heretical Leader — from ditchthattextbook.com; a guest post by Dan Fitzpatrick

Now is the time for visionary leadership in education. The era of artificial intelligence is reshaping the demands on education systems. Rigid policies, outdated curricula, and reliance on obsolete metrics are failing students. A recent survey from Resume Genius found that graduates lack skills in communication, collaboration, and critical thinking. Consequently, there is a growing trend in companies hiring candidates based on skills instead of traditional education or work experience. This underscores the urgent need for educational leaders to prioritize adaptability and innovation in their systems. Educational leaders must embrace a transformative approach to keep pace.

[Heretical leaders] bring courage, empathy, and strategic thinking to reimagine education’s potential. Here are their defining characteristics:

  • Visionary Thinking: They identify bold, innovative paths to progress.
  • Courage to Act: These leaders take calculated risks to overcome resistance and inertia.
  • Relentless Curiosity: They challenge assumptions and seek better alternatives.
  • Empathy for Stakeholders: Understanding the personal impact of change allows them to lead with compassion.
  • Strategic Disruption: Their deliberate actions ensure systemic improvements.
    These qualities enable Heretical leaders to reframe challenges as opportunities and drive meaningful change.

From DSC:
Readers of this blog will recognize that I believe visionary leadership is extremely important — in all areas of our society, but especially within our learning ecosystems. Vision trumps data, at least in my mind. There are times when data can be used to support a vision, but having a powerful vision is more lasting and impactful than relying on data to drive the organization.

So while I’d vote for a different term other than “heretical leaders,” I get what Dan is saying and I agree with him. Such leaders are going against the grain. They are swimming upstream. They are espousing perspectives that others often don’t buy into (at least initially or for some time). 

Such were the leaders who introduced online learning into the K-16 educational systems back in the late ’90s and into the next two+ decades. The growth of online-based learning continues and has helped educate millions of people. Those leaders and the people who worked for such endeavors were going against the grain.

We haven’t seen the end point of online-based learning. I think it will become even more powerful and impactful when AI is used to determine which jobs are opening up, and which skills are needed for those jobs, and then provide a listing of sources of where one can obtain that knowledge and develop those skills. People will be key in this vision. But so will AI and personalized learning. It will be a collaborative effort.

By the way, I am NOT advocating for using AI to outsource our thinking. Also, having basic facts and background knowledge in a domain is critically important, especially to use AI effectively. But we should be teaching students about AI (as we learn more about it ourselves). We should be working collaboratively with our students to understand how best to use AI. It’s their futures at stake.


 


ChatGPT can now handle reminders and to-dos — from theverge.com by Kylie Robison
The AI chatbot can now set reminders and perform recurring actions.

OpenAI is launching a new beta feature in ChatGPT called Tasks that lets users schedule future actions and reminders.

The feature, which is rolling out to Plus, Team, and Pro subscribers starting today, is an attempt to make the chatbot into something closer to a traditional digital assistant — think Google Assistant or Siri but with ChatGPT’s more advanced language capabilities.


ChatGPT gets proactive with ‘Tasks’ — from therundown.ai by Rowan Cheung
PLUS: Minimax’s LLM context-length breakthrough

The Rundown: OpenAI is rolling out Tasks, a new ChatGPT beta feature that allows users to schedule reminders and recurring actions, marking the company’s first step into agentic AI capabilities.

Why it matters: While reminders aren’t groundbreaking, Tasks lays the groundwork for incorporating agentic abilities into ChatGPT, which will likely gain value once integrated with other features like tool or computer use. With ‘Operator’ also rumored to be coming this month, all signs are pointing towards 2025 being the year of the AI agent.


 

A Teacher-to-Teacher Approach to Professional Development — from nataliewexler.substack.com by Natalie Wexler
An innovative fellowship program spotlights the practices of effective literacy teachers

When seeking guidance on classroom practice, teachers—understandably—tend to trust other teachers the most. An innovative fellowship program connects teachers with one another to provide concrete examples of what effective literacy instruction looks like.

A small philanthropy called the Goyen Foundation sponsors the program, now in its third year. For each cohort, the foundation selects 12 to 14 educators who are skilled in systematically teaching foundational reading skills while simultaneously building the knowledge that enables reading comprehension.

The Goyen Literacy Fellows document their own classroom practice, mostly through videos that are posted on social media platforms like X/Twitter and Facebook. They also interact with other educators who may have heard about “structured literacy” but aren’t sure what it means or how it’s done.


Giving Kids Some Autonomy Has Surprising Results — from nytimes.com by Jenny Anderson and Rebecca Winthrop
Jenny Anderson and Rebecca Winthrop are the authors of “The Disengaged Teen: Helping Kids Learn Better, Feel Better, and Live Better.”

In a polarized nation, one point of agreement deserves more attention: Young adults say they feel woefully unprepared for life in the work force, and employers say they’re right.

In a survey by Gallup and the Walton Family Foundation of more than 4,000 members of Gen Z, 49 percent of respondents said they did not feel prepared for the future. Employers complain that young hires lack initiative, communication skills, problem-solving abilities and resilience.

There’s a reason the system isn’t serving people well, and it goes beyond the usual culprits of social media and Covid. Many recent graduates aren’t able to set targets, take initiative, figure things out and deal with setbacks — because in school and at home they were too rarely afforded any agency.

Maybe it’s time to define a higher ideal for education, less about ranking and sorting students on narrow measures of achievement and more about helping young people figure out how to unlock their potential and how to operate in the world. Amid the drumbeat of evolving artificial intelligence, wars, rising authoritarianism, political polarization and digital disconnection, they need to learn a lot more than how to follow instructions.


The Disengagement Crisis — from xqinstitute.org by Edward Montalvo – Director, Educator Network

Youth Voice & Choice
At XQ, we don’t see high schools as the tail end of K-12 education. Instead, we believe they are pivotal spaces for unleashing a young person’s sense of possibility and agency—so much so that it’s one of our Design Principles for school-wide success: Youth Voice and Choice.

Anderson and Winthrop, too, emphasize that when students feel they can shape the direction of their learning, they gain essential life skills: setting targets, identifying strategies, monitoring progress, and course-correcting when inevitable challenges arise. These aptitudes translate directly to college readiness, workforce performance, and a strong sense of agency in adulthood. As the authors note, even small doses of agency—like letting students choose which angle of a topic to explore—can radically transform how teens engage with the material and each other.

We’ve long championed youth voice and choice as a key element for transforming the traditional high school experience. By adopting this design principle, educators and school leaders empower students to be agents of their own learning journeys. They celebrate students’ personal growth and consistently provide opportunities for them to set goals and reflect on how they learn best.

By shifting away from checklists and mindless compliance, we can transform high schools into spaces of curiosity, discovery, and lasting engagement—where a spark lit in 9th grade can guide and energize students for a lifetime.

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Learners need: More voice. More choice. More control. -- this image was created by Daniel Christian


Addendum on 1/17/25:

376. Students as Partners — from teaforteaching.com

Faculty members often design and revise courses with limited direct feedback from students. In this episode, Laurel Willingham-McLain and Jacques Safari Mwayaona join us to discuss a program in which faculty work with trained student consultants to improve the student learning experience.  Laurel is a consulting faculty developer at the Center for Teaching and Learning Excellence at Syracuse University. Jacques is a Faculty Development Fellow, also at Syracuse University. Laurel and Jacques both work with the Students Consulting on Teaching program at Syracuse University.

 

NVIDIA Partners With Industry Leaders to Advance Genomics, Drug Discovery and Healthcare — from nvidianews.nvidia.com
IQVIA, Illumina, Mayo Clinic and Arc Institute Harness NVIDIA AI and Accelerated Computing to Transform $10 Trillion Healthcare and Life Sciences Industry

J.P. Morgan Healthcare Conference—NVIDIA today announced new partnerships to transform the $10 trillion healthcare and life sciences industry by accelerating drug discovery, enhancing genomic research and pioneering advanced healthcare services with agentic and generative AI.

The convergence of AI, accelerated computing and biological data is turning healthcare into the largest technology industry. Healthcare leaders IQVIA, Illumina and Mayo Clinic, as well as Arc Institute, are using the latest NVIDIA technologies to develop solutions that will help advance human health.

These solutions include AI agents that can speed clinical trials by reducing administrative burden, AI models that learn from biology instruments to advance drug discovery and digital pathology, and physical AI robots for surgery, patient monitoring and operations. AI agents, AI instruments and AI robots will help address the $3 trillion of operations dedicated to supporting industry growth and create an AI factory opportunity in the hundreds of billions of dollars.


AI could transform health care, but will it live up to the hype? — from sciencenews.org by Meghan Rosen and Tina Hesman Saey
The technology has the potential to improve lives, but hurdles and questions remain

True progress in transforming health care will require solutions across the political, scientific and medical sectors. But new forms of artificial intelligence have the potential to help. Innovators are racing to deploy AI technologies to make health care more effective, equitable and humane.

AI could spot cancer early, design lifesaving drugs, assist doctors in surgery and even peer into people’s futures to predict and prevent disease. The potential to help people live longer, healthier lives is vast. But physicians and researchers must overcome a legion of challenges to harness AI’s potential.


HHS publishes AI Strategic Plan, with guidance for healthcare, public health, human services — from healthcareitnews.com by Mike Miliard
The framework explores ways to spur innovation and adoption, enable more trustworthy model development, promote access and foster AI-empowered healthcare workforces.

The U.S. Department of Health and Human Services has issued its HHS Artificial Intelligence Strategic Plan, which the agency says will “set in motion a coordinated public-private approach to improving the quality, safety, efficiency, accessibility, equitability and outcomes in health and human services through the innovative, safe, and responsible use of AI.”


How Journalism Will Adapt in the Age of AI — from bloomberg.com/ by John Micklethwait
The news business is facing its next enormous challenge. Here are eight reasons to be both optimistic and paranoid.

AI promises to get under the hood of our industry — to change the way we write and edit stories. It will challenge us, just like it is challenging other knowledge workers like lawyers, scriptwriters and accountants.

Most journalists love AI when it helps them uncover Iranian oil smuggling. Investigative journalism is not hard to sell to a newsroom. The second example is a little harder. Over the past month we have started testing AI-driven summaries for some longer stories on the Bloomberg Terminal.

The software reads the story and produces three bullet points. Customers like it — they can quickly see what any story is about. Journalists are more suspicious. Reporters worry that people will just read the summary rather than their story.

So, looking into our laboratory, what do I think will happen in the Age of AI? Here are eight predictions.


‘IT will become the HR of AI agents’, says Nvidia’s CEO: How should organisations respond? — from hrsea.economictimes.indiatimes.com by Vanshika Rastogi

Nvidia’s CEO, Jensen Huang’s recent statement “IT will become the HR of AI agents” continues to spark debate about IT’s evolving role in managing AI systems. As AI tools become integral, IT teams will take on tasks like training and optimising AI agents, blending technical and HR responsibilities. So, how should organisations respond to this transformation?

 

Students Pushback on AI Bans, India Takes a Leading Role in AI & Education & Growing Calls for Teacher Training in AI — from learningfuturesdigest.substack.com by Dr. Philippa Hardman
Key developments in the world of AI & Education at the turn of 2025

At the end of 2024 and start of 2025, we’ve witnessed some fascinating developments in the world of AI and education, from from India’s emergence as a leader in AI education and Nvidia’s plans to build an AI school in Indonesia to Stanford’s Tutor CoPilot improving outcomes for underserved students.

Other highlights include Carnegie Learning partnering with AI for Education to train K-12 teachers, early adopters of AI sharing lessons about implementation challenges, and AI super users reshaping workplace practices through enhanced productivity and creativity.

Also mentioned by Philippa:


ElevenLabs AI Voice Tool Review for Educators — from aiforeducation.io with Amanda Bickerstaff and Mandy DePriest

AI for Education reviewed the ElevenLabs AI Voice Tool through an educator lens, digging into the new autonomous voice agent functionality that facilitates interactive user engagement. We showcase the creation of a customized vocabulary bot, which defines words at a 9th-grade level and includes options for uploading supplementary material. The demo includes real-time testing of the bot’s capabilities in defining terms and quizzing users.

The discussion also explored the AI tool’s potential for aiding language learners and neurodivergent individuals, and Mandy presented a phone conversation coach bot to help her 13-year-old son, highlighting the tool’s ability to provide patient, repetitive practice opportunities.

While acknowledging the technology’s potential, particularly in accessibility and language learning, we also want to emphasize the importance of supervised use and privacy considerations. Right now the tool is currently free, this likely won’t always remain the case, so we encourage everyone to explore and test it out now as it continues to develop.


How to Use Google’s Deep Research, Learn About and NotebookLM Together — from ai-supremacy.com by Michael Spencer and Nick Potkalitsky
Supercharging your research with Google Deepmind’s new AI Tools.

Why Combine Them?
Faster Onboarding: Start broad with Deep Research, then refine and clarify concepts through Learn About. Finally, use NotebookLM to synthesize everything into a cohesive understanding.

Deeper Clarity: Unsure about a concept uncovered by Deep Research? Head to Learn About for a primer. Want to revisit key points later? Store them in NotebookLM and generate quick summaries on demand.

Adaptive Exploration: Create a feedback loop. Let new terms or angles from Learn About guide more targeted Deep Research queries. Then, compile all findings in NotebookLM for future reference.
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Getting to an AI Policy Part 1: Challenges — from aiedusimplified.substack.com by Lance Eaton, PH.D.
Why institutional policies are slow to emerge in higher education

There are several challenges to making policy that make institutions hesitant to or delay their ability to produce it. Policy (as opposed to guidance) is much more likely to include a mixture of IT, HR, and legal services. This means each of those entities has to wrap their heads around GenAI—not just for their areas but for the other relevant areas such as teaching & learning, research, and student support. This process can definitely extend the time it takes to figure out the right policy.

That’s naturally true with every policy. It does not often come fast enough and is often more reactive than proactive.

Still, in my conversations and observations, the delay derives from three additional intersecting elements that feel like they all need to be in lockstep in order to actually take advantage of whatever possibilities GenAI has to offer.

  1. Which Tool(s) To Use
  2. Training, Support, & Guidance, Oh My!
  3. Strategy: Setting a Direction…

Prophecies of the Flood — from oneusefulthing.org by Ethan Mollick
What to make of the statements of the AI labs?

What concerns me most isn’t whether the labs are right about this timeline – it’s that we’re not adequately preparing for what even current levels of AI can do, let alone the chance that they might be correct. While AI researchers are focused on alignment, ensuring AI systems act ethically and responsibly, far fewer voices are trying to envision and articulate what a world awash in artificial intelligence might actually look like. This isn’t just about the technology itself; it’s about how we choose to shape and deploy it. These aren’t questions that AI developers alone can or should answer. They’re questions that demand attention from organizational leaders who will need to navigate this transition, from employees whose work lives may transform, and from stakeholders whose futures may depend on these decisions. The flood of intelligence that may be coming isn’t inherently good or bad – but how we prepare for it, how we adapt to it, and most importantly, how we choose to use it, will determine whether it becomes a force for progress or disruption. The time to start having these conversations isn’t after the water starts rising – it’s now.


 

The number of 18-year-olds is about to drop sharply, packing a wallop for colleges — and the economy — from hechingerreport.org by Jon Marcus
America is about to go over the ‘demographic cliff’

That’s because the current class of high school seniors is the last before a long decline begins in the number of 18-year-olds — the traditional age of students when they enter college.

This so-called demographic cliff has been predicted ever since Americans started having fewer babies at the advent of the Great Recession around the end of 2007 — a falling birth rate that has not recovered since, except for a slight blip after the Covid-19 pandemic, according to the Centers for Disease Control.

Demographers say it will finally arrive in the fall of this year. That’s when recruiting offices will begin to confront the long-anticipated drop-off in the number of applicants from among the next class of high school seniors.

“A few hundred thousand per year might not sound like a lot,” Strohl said. “But multiply that by a decade and it has a big impact.”

From DSC:
I remember seeing graphics about this demographic cliff over a decade ago…so institutions of traditional higher education have seen this coming for many years now (and the article references this as well). But it’s still important and the ramifications of this could be significant for many colleges and universities out there (for students, faculty, staff, and administrations).

  • Will there be new business models?
  • More lifelong learning models?
  • Additions to the curricula?

I sure hope so.


Higher Ed’s Governance Problem — from chronicle.com by Brian Rosenberg; via Ryan Craig
Boards are bloated and ineffectual.

According to the Association of Governing Boards of Universities and Colleges, the average size of a private nonprofit college or university board is 28 (larger than a major-league baseball roster), though boards of elite colleges tend to skew even larger: closer to 40, according to a study done by McKinsey.

By way of comparison, the average size of the board of directors of a publicly traded company in the United States is nine. If that seems too “corporate,” consider that the average size of the board of a nonprofit health-care institution is 13…

Still, anyone who studies organizational effectiveness would tell you that college and university boards are much too large, as would almost any college or university president when speaking off the record. Getting 12 people to spend significant time studying serious challenges and then reaching consensus about how to tackle those challenges is a heavy lift. Doing this with 25 or 35 or 45 people is close to impossible.


From Google ads to NFL sponsorships: Colleges throw billions at marketing themselves to attract students — from hechingerreport.org by Jon Marcus
Marketing and branding are getting big budgets and advertising is setting new records

In fact, the sum is small compared to what other colleges and universities are investing in advertising, marketing and promotion, which has been steadily rising and is on track this year to be nearly double what it was last year.

Among the reasons are a steep ongoing decline in enrollment, made worse by the pandemic, and increasing competition from online providers and others.

“Private schools in particular are acutely conscious of the demographics in this country. They’re competing for students, and marketing is how you have to do that.”

John Garvey, president, Catholic University


From DSC:
And for you students out there, check this sound advice out!

 

Some sharp art and creativity

Mous Lamrabat’s Striking Portraits Put Unity, Love, and Compassion in Sharp Focus — from  thisiscolossal.com by Kate Mothes and Mous Lamrabat


 
 

10 Higher Ed Trends to Watch In 2025 — from insidetrack.org

While “polarization” was Merriam-Webster’s word of the year for 2024, we have some early frontrunners for 2025 — especially when it comes to higher education. Change. Agility. Uncertainty. Flexibility. As we take a deep dive into the trends on tap for higher education in the coming year, it’s important to note that, with an incoming administration who has vowed to shake things up, the current postsecondary system could be turned on its head. With that in mind, we wade into our yearly look at the topics and trends that will be making headlines — and making waves — in the year ahead.

#Highereducation #learningecosystems #change #trends #businessmodels #trends #onlinelearning #AI #DEI #skillsbasedlearning #skills #alternatives #LearningandEmploymentRecords #LERs #valueofhighereducation #GenAI

 

The Best of AI 2024: Top Winners Across 9 Categories — from aiwithallie.beehiiv.com by Allie Miller
2025 will be our weirdest year in AI yet. Read this so you’re more prepared.


Top AI Tools of 2024 — from ai-supremacy.com by Michael Spencer (behind a paywall)
Which AI tools stood out for me in 2024? My list.

Memorable AI Tools of 2024
Catergories included:

  • Useful
  • Popular
  • Captures the zeighest of AI product innovation
  • Fun to try
  • Personally satisfying
  1. NotebookLM
  2. Perplexity
  3. Claude

New “best” AI tool? Really? — from theneurondaily.com by Noah and Grant
PLUS: A free workaround to the “best” new AI…

What is Google’s Deep Research tool, and is it really “the best” AI research tool out there?

Here’s how it works: Think of Deep Research as a research team that can simultaneously analyze 50+ websites, compile findings, and create comprehensive reports—complete with citations.

Unlike asking ChatGPT to research for you, Deep Research shows you its research plan before executing, letting you edit the approach to get exactly what you need.

It’s currently free for the first month (though it’ll eventually be $20/month) when bundled with Gemini Advanced. Then again, Perplexity is always free…just saying.

We couldn’t just take J-Cal’s word for it, so we rounded up some other takes:

Our take: We then compared Perplexity, ChatGPT Search, and Deep Research (which we’re calling DR, or “The Docta” for short) on robot capabilities from CES revealed:


An excerpt from today’s Morning Edition from Bloomberg

Global banks will cut as many as 200,000 jobs in the next three to five years—a net 3% of the workforce—as AI takes on more tasks, according to a Bloomberg Intelligence survey. Back, middle office and operations are most at risk. A reminder that Citi said last year that AI is likely to replace more jobs in banking than in any other sector. JPMorgan had a more optimistic view (from an employee perspective, at any rate), saying its AI rollout has augmented, not replaced, jobs so far.


 

 

LinkedIn Jobs on the Rise 2025: The 25 fastest-growing jobs in the U.S. — from linkedin.com

Professionals are navigating rapid change, and staying ahead of the curve is no easy feat. Recent LinkedIn research shows that 64% of workers feel overwhelmed by the pace of workplace shifts, from navigating AI to managing multi-generational teams. At the same time, U.S. workers’ confidence in their job securityis the lowest it’s been since the start of the pandemic.

But as the workplace continues to evolve, new opportunities arise. That’s exactly what our annual Jobs on the Rise list uncovers — the fastest-growing jobs over the past three years and the trends defining the future of work. From the rise of AI roles to the resurgence in travel and hospitality positions, the 2025 ranking highlights sectors with sustainable growth in today’s changing workforce. (You can read more about our methodology at the bottom of this article.)

The list is a roadmap that can point you in the right direction at any stage of your career. Under each job title, you can explore the most common skills, top hiring regions, remote and hybrid availability and more. And you can turn those insights into action by exploring open roles, honing your skills through LinkedIn Learning courses (free for all members until Feb. 15) or joining the conversation in the collaborative article for each featured role.

 
© 2025 | Daniel Christian