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

 

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.

 
 

How Generative AI Is Shaping the Future of Law: Challenges and Trends in the Legal Profession — from thomsonreuters.com by Raghu Ramanathan

With this mind, Thomson Reuters and Lexpert hosted a panel featuring law firm leaders and industry experts discussing the challenges and trends around the use of generative AI in the legal profession.?Below are insights from an engaging and informative discussion.

Sections included:

  • Lawyers are excited to implement generative AI solutions
  • Unfounded concerns about robot lawyers
  • Changing billing practices and elevating services
  • Managing and mitigating risks

Adopting Legal Technology Responsibly — from lexology.com by Sacha Kirk

Here are fundamental principles to guide the process:

  1. Start with a Needs Assessment…
  2. Engage Stakeholders Early…
  3. Choose Scalable Solutions…
  4. Prioritise Security and Compliance…
  5. Plan for Change Management…

Modernizing Legal Workflows: The Role Of AI, Automation, And Strategic Partnerships — from abovethelaw.com by Scott Angelo, Jared Gullbergh, Nancy Griffing, and Michael Owen Hill
A roadmap for law firms.  

Angelo added, “We really doubled down on AI because it was just so new — not just to the legal industry, but to the world.” Under his leadership, Buchanan’s efforts to embrace AI have garnered significant attention, earning the firm recognition as one of the “Best of the Best for Generative AI” in the 2024 BTI “Leading Edge Law Firms” survey.

This acknowledgment reflects more than ambition; it highlights the firm’s ability to translate innovative ideas into actionable results. By focusing on collaboration and leveraging technology to address client demands, Buchanan has set a benchmark for what is possible in legal technology innovation.

The collective team followed these essential steps for app development:

  • Identify and Prioritize Use Cases…
  • Define App Requirements…
  • Leverage Pre-Built Studio Apps and Templates…
  • Incorporate AI and Automation…
  • Test and Iterate…
  • Deploy and Train…
  • Measure Success…

Navigating Generative AI in Legal Practice — from linkedin.com by Colin Levy

The rise of artificial intelligence (AI), particularly generative AI, has introduced transformative potential to legal practice. For in-house counsel, managing legal risk while driving operational efficiency increasingly involves navigating AI’s opportunities and challenges. While AI offers remarkable tools for automation and data-driven decision-making, it is essential to approach these tools as complementary to human judgment, not replacements. Effective AI adoption requires balancing its efficiencies with a commitment to ethical, nuanced legal practice.

Here a few ways in which this arises:

 

How AI Is Changing Education: The Year’s Top 5 Stories — from edweek.org by Alyson Klein

Ever since a new revolutionary version of chat ChatGPT became operable in late 2022, educators have faced several complex challenges as they learn how to navigate artificial intelligence systems.

Education Week produced a significant amount of coverage in 2024 exploring these and other critical questions involving the understanding and use of AI.

Here are the five most popular stories that Education Week published in 2024 about AI in schools.


What’s next with AI in higher education? — from msn.com by Science X Staff

Dr. Lodge said there are five key areas the higher education sector needs to address to adapt to the use of AI:

1. Teach ‘people’ skills as well as tech skills
2. Help all students use new tech
3. Prepare students for the jobs of the future
4. Learn to make sense of complex information
5. Universities to lead the tech change


5 Ways Teachers Can Use NotebookLM Today — from classtechtips.com by Dr. Monica Burns

 

Christina Blacklaws: “We’re on the cusp of meaningful A2J change” — from legaltechnology.com by Caroline Hill

As 2024 draws to a close, we took a look at the past year and the year ahead with Christina Blacklaws, the former president of the Law Society of England and Wales who, after leaving office, has developed a career supporting businesses as a non-executive director, consultant and strategic advisor. One of those advisory roles is chair of LawtechUK, an initiative to “turbocharge” the UK’s lawtech sector, delivered by CodeBase and LegalGeek and funded by the Ministry of Justice.

For Blacklaws, one of the huge areas of potential for GenAI technology is in helping to solve the access to justice crisis and she talks through some of the exciting work being done in this space and why we’re on the cusp of meaningful change.

2024 In Legal Ops: AI, Adaptation, And What’s Next — from abovethelaw.com by The Uplevel Ops Advisory Team
Reflections on the wild ride that was 2024 and bold predictions for the new year.

The Legal Operations landscape is evolving faster than ever, and UpLevel Ops is at the forefront of this transformation. With advancements like generative AI subscriptions, custom GPT services, and value-based pricing shaking up traditional approaches, legal departments are navigating uncharted territory.

From revolutionary uses of AI to new strategies in outside counsel management, their insights provide a roadmap for legal teams ready to embrace the next wave of innovation.


Judges Are Using Virtual Reality Headsets in the Courtroom — from vice.com by Luis Prada

A judge in Florida has just set a precedent that might forever change the US legal system—and maybe even the global legal system—forever.

But now the technology has advanced to the point where the judge and jury can be almost literally in his client’s shoes.

This allows the judge to not just understand the words of his testimony, but the physical conditions of it in a much more tactile way. Whether or not this will make his case more convincing is up to the jury.


The Evolution of a Virtual Court System — from law.com by Sondra Mendelson-Toscano (behind a paywall)
“It is my prediction that the future of the court system includes a hybrid employment model for the bench.”

Shortly thereafter, the New York Office of Court Administration designed and executed a plan whereby judges were able to handle their assigned matters electronically. Such seemed like a natural progression under the circumstances, given that prior to the advent of the Coronavirus, electronic testimony was successfully utilized in many different types of proceedings in various ways (e.g. vulnerable child witnesses, interstate custody and child support, elderly material witnesses, medically disabled defendants, and incarcerated individuals).

A virtual court online resource center was created for judges, staff, and the public for information related to remote operations. Despite some initial resistance by attorneys (who argued violations of the right to confrontation, that virtual is less effective and not as persuasive, computer illiteracy, and so forth), the Unified Court System pushed forward.

OCA’s course of action proved to be effective and, eventually, attorneys and litigants enjoyed the option of appearing virtually. Lawyers could handle multiple matters from their home offices in less time than it would have taken them to drive back and forth between courthouses, thus maximizing their work day.

Parties appreciated the flexibility of appearing from home and those who were essential workers valued joining proceedings on breaks while at work. Being in court remotely alleviated the stress of having to ask for, and take off, time from work, or making arrangements to address child care issues, elder care issues, and the like. Litigants with physical disabilities and other hardships, such as lack of transportation, received an automatic accommodation without having to request one.


Microsoft partners with ABA on new pilot project to help asylum-seekers — from abajournal.com by Amanda Robert

“In an ideal world, we would get everyone an in-person attorney to represent them for the full length of their case,” says Baez, the Commission on Immigration’s director of pro bono. “But in the reality we live in, where that’s really not possible, we are trying to be thoughtful and innovative on how we engage the most volunteers to help the most people who would otherwise not be able to access any legal assistance.”

In June, the Commission on Immigration partnered with Microsoft to launch a new virtual clinic to help pro se asylum-seekers complete their asylum applications. During this clinic, which included four sessions, nearly 30 volunteers from Microsoft worked with asylum-seekers to gather necessary information and prepare their applications for submission.


 

The legal tech trends that defined 2024 — from abajournal.com by Nicole Black

The year 2024 was one of change. In the midst of a largely unpopular back-to-office push, technological innovation and development occurred at a rapid clip. Legal professionals approached technology with a newfound curiosity and appreciation gained as a result of pandemic-era remote work experimentation. The increasing demand for generative artificial intelligence tools fueled heavy investments in the legal technology industry.

Simultaneously, law firm technology adoption was supported by a flurry of guidance released by ethics committees across the country. As technology upended traditional ways of working, some state bars reconsidered bar exam requirements and others experimented with loosening licensing regulations.

No matter where you looked, change was occurring at a breakneck pace as technology’s impact on the practice of law became inescapable. Through it all, a few key trends emerged that offer clues on where we’re headed in the coming year.

Meanwhile, some states, including Oregon, Washington and Nevada, explored allowing unlicensed professionals to practice law in limited areas, such as family law and small claims. These efforts seek to improve access to justice, representing a revised perspective on long-standing rules about who can —and cannot—deliver legal services.


What to Expect in 2025: AI Legal Tech and Regulation (65 Expert Predictions) — from natlawreview.com by Oliver Roberts

As 2024 comes to a close, it’s time to look ahead to how AI will shape the law and legal practice in 2025. Over the past year, we’ve witnessed growing adoption of AI across the legal sector, substantial investments in legal AI startups, and a rise in state-level AI regulations. While the future of 2025 remains uncertain, industry leaders are already sharing their insights.

Along with 2025 predictions from The National Law Review’s Editor-in-Chief Oliver Roberts, this article presents 65 expert predictions on AI and the law in 2025 from federal judges, startup founders, CEOs, and leaders of AI practice groups at global law firms.


The Potential of GenAI to Promote Access to Justice — from law.com by Joanne Sprague
GenAI-assisted legal support is not a substitute for lawyers, but may help legal aid professionals serve more clients efficiently and effectively.

Generative AI (GenAI) has been heralded as a transformative force, poised to revolutionize everything from medicine to education to law. While GenAI won’t perform surgery or earn diplomas, it holds the promise of enabling lawyers to get due process for more of their clients or even empowering individuals to represent themselves in court. The harsh reality is that low-income individuals do not receive sufficient legal help for 92% of their civil legal problems, and legal aid organizations must turn away one of every two requests they get, according to the 2022 Justice Gap Report. GenAI-assisted legal support is not a substitute for lawyers, but may help legal aid professionals serve more clients efficiently and effectively.

If implemented equitably, GenAI could democratize legal knowledge and empower individuals to navigate the complexities of the justice system more easily.

In her new book “Law Democratized,” Renee Knake Jefferson says that GenAI “has the potential to become the single most important tool in solving the legal justice crisis … if harnessed to do so ethically.” With GenAI, we can envision a possible future of informed self-representation and legal decision-making regardless of ability to pay.


Experimenting in the sandbox — from nationalmagazine.ca by Julie Sobowale
Ontario Bar Association launches AI platform for lawyers to learn tech

The Ontario Bar Association has launched a new, free interactive learning platform for lawyers looking to learn about generative AI.

The new learning platform, created to clarify some of that and help lawyers navigate this technology, is part of OBA’s Real Intelligence on AI project. It is being spearheaded by Colin Lachance, the association’s innovator-in-residence.

Users can ask questions to LawQI, an AI assistant specializing in Canadian law, and work through learning modules about prompt engineering, different generative AI tools and best practices. The portal is free for OBA members and Ontario law students.

“Lawyers need to know how AI works,” says Lachance, principal at PGYA Consulting and former president and CEO of the Canadian Legal Information Institute (CanLII).

“I wanted to create an environment where lawyers can experiment. By using the technology, you learn how to use it.”


The Innovation Strategist: Nicole Black — from substack.com by Tom Martin and Nicole Black
Where I interview Nicole Black about how she merged her legal expertise with her passion for technology to become a leading voice in legal innovation

Excerpt from Key Takeaways:

  • Her role as employee #1 at MyCase in 2012 allowed her to combine her legal expertise with her passion for technology, leading to her current position as Principal Legal Insight Strategist at Affinipay
  • She believes generative AI will fundamentally transform the legal profession, potentially more significantly than previous technological innovations like PCs and the internet
  • Her advice for new lawyers includes actively experimenting with AI tools like ChatGPT and preparing for significant changes in legal education and entry-level legal work

Legal Liabilities of AI for Attorneys and Small Firms — from ethicalailawinstitute.org by Trent Kubasiak

Many small firms and solo attorneys could be in for a nasty shock when it comes to the use of AI. A detailed report from NYU’s Journal of Legislation and Public Policy is shedding light on the potential legal liabilities of using generative AI. Co-authored by EqualAI CEO Miriam Vogel, former Homeland Security Secretary Michael Chertoff, and others, the report underscores a widespread misconception—that liability for AI-related outcomes rests solely with the developers of these technologies.

For attorneys and small business owners, this misconception can be dangerous. As Vogel explains, “There are so many laws on the books that people need to know are applicable.” From lending and housing regulations to employment law, the use of AI—even indirectly—can expose firms to significant risks.


Challenges And Opportunities Of Digital Transformation In US Law Firms — from forbes.com by Chad Sands

So, what is driving the transformation?

Some adoption of new “legal tech” is literally being forced by legacy software companies who are shutting down older, server-based technology platforms. But most law firms are now increasingly becoming more proactive in planning and executing their digital transformation strategies on their own.

This is no longer a choice or matter of “Why should we?”

It’s a question of “When will we?”

There are several factors driving this shift, one being client expectations.


Fresh Voices On Legal Tech with Ilona Logvinova — from legaltalknetwork.com by Dennis Kennedy, Tom Mighell, and Ilona Logvinova

The world of AI and legal tech is evolving ever more rapidly, and it is all too common for lawyers to feel intimidated at the thought of keeping up with the constant barrage of change. How should lawyers maintain their tech competence? Dennis and Tom talk with Ilona Logvinova about her work in tech and AI innovations for lawyers. She shares her career journey and offers perspectives on leveraging technology to create new and better opportunities for attorneys to thrive in their work.


AI Insights for Legal: Ten Key Takeaways from Summit AI New York — from techlawcrossroads.com by Stephen Embry

Despite the shortcomings, it still was a good Conference. (i.e., the Summit AI New York). I learned some things and confirmed that many of the AI related issues being faced by legal are also being faced by many other businesses. What were my top ten takeaways? Here they are in no particular order:

 

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.

 

How to adopt GenAI within your legal department or law practice — from legaldive.com by Justin Bachman
Capital spending and ROI will be top of mind for legal executives moving forward with AI legal tools in 2025. Here are some best practices.

Dive Brief:

  • Debate about whether to use artificial intelligence in legal practice has ended. Discussions today are focused on costs, returns and how to best incorporate the technology into departments and outside law firms, according to an expert panel of legal tech specialists.
  • Buyers of generative AI solutions will encounter “a lot of confusion and a lot of opacity” on pricing, with multiple commercial models, George Socha, senior vice president of brand awareness at legal tech firm Reveal, said on a recent webinar. Long-term or firm contracts are best avoided for most legal tech customers, said Lee Wielenga, chief information officer at U.S. Legal Support.
  • Legal executives should consider small-group pilot projects for AI tools, focused on areas where routine, mundane tasks would benefit from automation, according to the panel. Software used in a business setting typically comes with permissioning access for employees, and generative AI adoption is likely to follow similar models.

Along the lines of legaltech, also see:

 

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.

 

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?

 

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

 

Building the lawyer of the future — from jordanfurlong.substack.com by Jordan Furlong
Here’s my latest “Future Lawyer Starter Kit.” Tell me what you think.

Building upon this knowledge foundation, I suggest that future lawyers should develop the following ten human competencies (through a completely overhauled education, training, and licensing process, but that’s a topic for another day):

  1. Acting ethically
  2. Advocating and negotiating
  3. Demonstrating character
  4. Displaying empathy
  5. Exercising judgment
  6. Giving advice
  7. Reasoning legally
  8. Relating with people
  9. Resolving conflicts
  10. Solving problems
 
© 2025 | Daniel Christian