Enabling the Citizen Lawyer — from jordanfurlong.substack.com by Jordan Furlong
We’ve neglected the second half of lawyers’ professional identity: the civic duty to serve society, defend the rule of law, and support public institutions. It’s time we restored it to equal billing.

So, what are those particular citizenship duties that lawyers owe to society? To my mind, it comes down to defending and advancing the rule of law. In practical terms, that means lawyers bear the primary responsibility to:

  • Uphold constitutional values,
  • Support vital public institutions,
  • Enable universal access to justice,
  • Demand accountability from power holders,
  • Lead truth and reconciliation, and
  • Help ensure peace, order, and good government.

Lawyers possess a unique combination of legal knowledge, professional status, institutional access, and proximity to power. That gives us a distinctive, and I’d argue heightened, responsibility to safeguard the rule of law.

It’s that our duty to society, as lawyer citizens, is equally as important as our duty to clients as legal practitioners — that our civic role and our commercial role are each central to our professional identity and should have equivalent priority in our professional lives.

 

Learning used to cascade—now it must circulate — from chieflearningofficer.com by Sharon M. Ravitch
Long-held structural and procedural assumptions undergird how organizations promote and deepen learning that precedes its flow through organizations. What replaces the cascade isn’t a smarter platform. It’s a deliberate act of leadership; a set of adaptive mindsets that make circulation possible in the first place.

Admitting “I don’t know what I’m doing with this yet” felt like exposure, a confession of falling behind, and surfacing a workaround carried the calculated risk of “going rogue.” By the time the CLO scheduled a refresher, the tool had evolved again, and whatever either camp learned in the meantime had nowhere to go.

The issue wasn’t adoption. It was circulation. Without this step, learning cannot move through the organization quickly enough to keep pace with technological adoption.

The problem has both widened and deepened. Organizations are moving to roughly double AI investment as a share of revenue, with 72 percent of CEOs now personally directing AI strategy. Capability requirements are shifting at the pace of leadership attention, not curriculum cycles.

 

More people than ever are trying to get into college classes in Illinois prisons. Getting a seat hasn’t gotten any easier. — from college-inside.beehiiv.com by Charlotte West
The college waitlist in Illinois has grown 80% since last year, with 3,700 people waiting and 2,600 enrolled.

Excerpt from highlights:

 

How to Improve Your AI Skills — from wondertools.substack.com by Frank Andrade and Jeremy Caplan
What to learn next, from prompts to workflows
.

Today I’m sharing a guest post on how to strengthen your AI skills. It’s by Frank Andrade, an AI instructor who has helped thousands of people on Substack master ChatGPT and Claude with beginner-friendly guides and in-depth tutorials.

 

New study: 15 community college presidents on what it will take to lead higher ed’s next chapter — from eddesignlab.org

Community colleges are at a pivotal moment.

As learners, employers, and regional economies change, these institutions have an opportunity to lead the next evolution of higher education — if they can move beyond structures built for a different era.

In the Lab’s new study, Insights from 15 Community College Presidents on the Future of Learning in a New Economy, leaders share their perspectives on the opportunities and barriers facing the sector, as well as the institutional changes needed to help more learners access economic mobility.

Their insights validate Education Design Lab’s Future of Learning framework, which asks five essential design questions:

  1. How might we make skills and competencies visible?
  2. How might we create stackable pathways that credential skills along the way?
  3. How might we make learning universally flexible through multiple modalities?
  4. How might we guarantee applied learning opportunities for every learner?
  5. How might we ensure every learner has access to adequate support services?

 

 


 

Will smart glasses make it too risky to speak up in class? — from timeshighereducation.com by Georgia Luckhurst & Kieran Phelan
AI-powered glasses may boost learning but they also pose obvious threats to privacy, academic integrity and the sanctity of the seminar room as a safe space to explore ideas. Are universities doing enough to head off the risks, asks Georgia Luckhurst – while Kieran Phelan suggests they are not

Smart glasses can superimpose information on to a viewer’s field of vision, and they can access apps and communicate with your phone. Some are hands-free while some require touch, and some also respond to voice automation. Most controversially, they can take pictures and record footage, potentially without anyone else knowing that it is happening. And they are becoming ever more common.

But, for academia, the biggest issue associated with smart glasses may be a decline in intellectual risk-taking and freedom of expression, Murray said.


How useful are smart glasses in improving accessibility in higher education? — from timeshighereducation.com by Helen Nicholson-Benn
Smart glasses have the potential to support learning for disabled students, but this technology also comes with significant privacy concerns. Helen Nicholson-Benn looks at how to balance functional benefits with data security and safeguarding

Consider how different models of smart glasses might be used to improve accessibility in higher education. A deaf student might use XRai’s ar2 captioning glasses during a lecture to view live captions in their eyeline, allowing them to follow the content without looking down at a separate screen. A visually impaired student might use Envision’s Ally Solos glasses to generate a description of images on printed material or read text during a class. The glasses provide a hands-free option rather than scanning the materials with their smartphone.

These examples are hypothetical, and smart glasses are far from an everyday teaching tool, but that may be about to change. Smart glasses available today are far more capable than their predecessors, particularly boosted by developments in artificial intelligence (AI) technology.


Which brings up the topic of how to handle these technologies in the classroom:

Are device-free classrooms the way forward? — from timeshighereducation.com by Georgia Luckhurst
US universities embrace laptop and phone bans, but professor suggests policies may be more about political positioning than pedagogy

Growing numbers of US universities are making some of their courses “device free”, drawing mixed enthusiasm from edtech experts.

In the latest move the University of Chicago is introducing a no-laptops and no-phones policy on three of its 15 required undergraduate modules, aiming to “reduce distractions and encourage face-to-face discussions”. Exceptions remain, including for students with disabilities.
…
Device-free policies appear in other countries, experts suggested, despite the trend picking up pace in the US.

 

Risks and Rewards of IoT in Higher Education — from edtechmagazine.com by Akeya Dickson
Shadow IT is flooding college and university networks as students move back to campus. Here’s how higher ed IT leaders can secure their networks without impacting the student experience.

Connected minifridges, smart speakers and internet-based gaming consoles are among the devices students are bringing to college that IT departments may not have accounted for — or even know are connected to the campus network. These devices may run on default passwords and have little to no security configuration, making them an attractive and vulnerable entry point for a cyberattack.

For higher ed IT, the stakes couldn’t be higher. According to the Zscaler ThreatLabz 2025 Mobile, IoT and OT Threat Report, the education sector saw an 861% rise in malware attacks from Internet of Things devices between 2024 and 2025.

 

The Case for Prioritizing Play in Kindergarten — from the74million.org by Mark Swartz
Laura Bornfreund on how schools, families and policymakers can transform kindergarten to better support young children. 

In order for these years to lay a sturdy foundation for everything that follows, the kindergarten experience should prioritize play and relationship-building, including connections with peers and teachers. Over the years, however, kindergarten has become increasingly “schoolified,” according to Bornfreund…

The book laments the state of kindergarten today, where classroom experiences are overly scripted and funding is insufficient in many communities. At the same time, Bornfreund finds teachers who are providing meaningful experiences for young learners against the odds. In the conversation below, she shares her perspective on what a strong kindergarten experience looks like and offers insights on how schools, families and policymakers can reshape kindergarten to help children thrive. 

 

Below are several items that were either mentioned by Matt Tower or I came across them via offshoots of items that he linked to:

Future Universities Alliance Names Inaugural Innovation Sandbox Cohort — from provost.duke.edu
Program incubated by Duke brings together higher education innovators from 23 countries for year-long peer exchange

The Future Universities Alliance has selected 49 institutions from 23 countries for the inaugural cohort of its Innovation Sandbox, a 12-month peer learning program for higher education leaders advancing ambitious, institution-level innovation.The cohort brings together founders of new universities, administrators and faculty leading high-stakes changes within established institutions, and leaders of proven models exploring how their innovations can travel to new contexts. Participants were chosen through a competitive process that drew applicants from around the world in its inaugural year.

A makeover for college: No gym, no meal plan and two years of work — from npr.org by Jon Marcus

An entirely new college is being planned here to change not only how higher education is delivered, but at what price. It also proposes to highlight ways the current business model no longer works, as evidenced by the 152 colleges and universities that have closed or merged since 2016, and the 442 others that a new projection says are at risk.

So deeply entrenched are the problems confronting higher education that a growing chorus of innovators says the easiest way to fix them is to begin again from scratch.

All undergraduates should get work-based learning, v-cs say — from timeshighereducation.com by Jack Grove. NOTE: this item is behind a paywall.
Bold plan to support graduate employment would require placements for 1.4 million students annually

 

MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training — from aiandeducation.mit.edu

However, what we learned as a group quickly convinced us that the Institute community, particularly the faculty, must tackle a set of deeper questions about the structure, meaning, and value of an MIT education in an era in which AI is one of several factors complicating the Institute’s mission.
…

In this report, we:

  • Highlight key aspects of the current educational landscape at MIT.
  • Share eight principles we relied on and that we hope will guide the Institute in the work ahead.
  • Recommend immediate and long-term actions for both instructors and the administration.

On somewhat related notes:

 

‘You can’t just lecture students any more’ — from timeshighereducation.com by Debra Page
GenAI does not make lecturers redundant, but it does weaken one-way content delivery as a reason to bring students together, writes Debra Page. She shares four practical shifts to teaching in the age of AI

This does not make lecturers redundant; it makes one-way content delivery a weaker reason to bring students together. Expert explanation, intellectual storytelling and the modelling of disciplinary thinking still matter, but in-person teaching must also help students apply knowledge, question claims, build arguments and encounter perspectives beyond their own.

The problem is not lecturing; it is speaking for an hour and treating content coverage as evidence that learning has occurred.

These four practical shifts can make lectures more valuable in the age of AI.

 

OpenAI’s chief scientist says no lab should keep scaling at maximum speed — from thenextweb.com by Ana Maria Constantin
OpenAI put out two posts on Sunday. Its research organisation now uses 3.1 agent-workdays for every human one, and its chief scientist says no lab has solved alignment well enough to keep scaling at full speed. The case for an OpenAI slowdown arrived with the numbers against it.

Chief scientist Jakub Pachocki wrote the second post, an essay called An Alien Mind. It closes on a line that reads oddly from the man who runs research at the company shipping fastest.

“Currently I believe that no lab has solved alignment and monitoring to a sufficient degree to continue responsibly scaling at maximum speed for much longer,” he wrote.

…
He is not gentle about the stakes either. “This is a time that calls for extreme caution. I am concerned no one is prepared for the consequences of a continued rapid rise in machine intelligence,” Pachocki wrote.

 

The Disappearing Bottom Rung in L&D — from drphilippahardman.substack.com by Dr Philippa Hardman
Junior roles are rapidly disappearing from L&D. Here’s the data + my hypothesis about why it’s happening

TL;DR: the bottom rung of L&D isn’t just narrowing — it’s being automated. The humans who remain move up the ladder, and the profession re-forms around a new set of AI and domain specialisms.
…
Is AI responsible for reshaping knowledge work, including L&D? My hypothesis is a resounding YES, primarily because of what I see in L&D job ads in 2026…

…..


The AI Workflow Redesign Method: How the Top 6% of Users Get Real Returns from AI— from drphilippahardman.substack.com by Dr Philippa Hardman
A practical three-step method to redesign your workflow & get ~2X value from AI

One pattern I see emerging from that research is this: the people getting the most value from AI aren’t the ones using it most, or the ones with the most advanced technical skills: they’re the ones who redesigned their day to day workflows around AI’s capabilities.
…

How to Redesign a Workflow in Three Steps
In my bootcamp we use a task-mapping process that distils workflow redesign down to three steps: map the work, tag each task by the impact you want AI to have, then validate whether what you want is possible.

Three steps get you to a plan: two or three tasks worth building, each with a written standard. Turning that plan into a redesign takes two more moves, which I’ll cover after the steps. I’m flagging that now because the moves are the bit most people skip, and they’re where the redesign actually happens.

Here’s a how to for each step:

 

College Is an Expensive Career Exploration Tool. Here’s an Alternative. — from humanistxyz.substack.com by Patrick O’Donnell and Allison Dulin Salisbury
“Young people know that sitting in a classroom for twelve years isn’t going to show them how to find a job, let alone a career they love.”

This interview is part of a series on AI, high school, and the Experience Gap. Our report, Closing the Experience Gap, makes the case for a high-school model in which at least 50 percent of formal learning is experience-based.

College is an expensive career exploration tool. It is also poorly designed for the job.

Patrick O’Donnell tells the story of a student who entered a four-year nursing program certain she wanted to become a nurse. Once enrolled, she discovered that the work was a poor fit. Earlier immersion in healthcare, she told him, would have moved that discovery forward by several years. Now she needed to transfer to a community college and remap her plans.

Her predicament is familiar. We ask teenagers to choose a college and course of study with little direct knowledge of the work on the other side. Many spend their first years of college trying to answer a question high school gave them few opportunities to explore: What kind of work fits me?


From DSC:
College is an expensive career exploration tool. It is also poorly designed for the job.

This assertion resonated with me instantly — and I agree with it 100%. As a bit of background as to why I say this…I thought that I was going to be a doctor all through K-12 and even in my first year at college. But then I got to about halfway through my fall semester in my sophomore year, and I dropped out of pre-med. It was the best decision of my life.

But then what?

I had very little idea of what I wanted to do in the future or what my skills, interests, passions, and abilities were. K-12 and college offered next to nothing in terms of career preparation back in that period of time. It wasn’t until my late 20’s that I even began to get a clue on what’s all out there. What were my choices and what was a good fit for me? What did I enjoy doing and what did I not enjoy doing? 

So I agree completely…college is an expensive career exploration tool/setting. But I’m glad to see more and better options these days within K-12. Colleges could do much better.

 
© 2025 | Daniel Christian