From DSC:
I put the following comment on Dan’s posting:

I couldn’t agree more Dan. Millions of people could benefit from the considered, careful research of — and eventual application of — technologies to significantly improve/impact access to justice (#A2J).


Also see:

Generative AI could radically alter the practice of law — from The Economist
Even if it doesn’t replace lawyers en masse

Excerpts:

According to a recent report from Goldman Sachs, a bank, 44% of legal tasks could be performed by AI, more than in any occupation surveyed except for clerical and administrative support. Lawyers spend an awful lot of time scrutinising tedious documents—the sort of thing that AI has already demonstrated it can do well. Lawyers use AI for a variety of tasks, including due diligence, research and data analytics. These applications have largely relied on “extractive” AI, which, as the name suggests, extracts information from a text, answering specific questions about its contents.

Ultimately this will be good news for clients. “People who go to lawyers don’t want lawyers: they want resolutions to their problems or the avoidance of problems altogether,” explains Mr Susskind. If AI can provide those outcomes then people will use AI. Many people already use software to do their taxes rather than rely on professionals; “Very few of them are complaining about the lack of social interaction with their tax advisers.”


Also see:


 

Discount Rates At Colleges Continue To Increase As Colleges Explore Alternate Pricing Strategies — from forbes.com by Lucie Lapovsky

Excerpt (emphasis DSC):

Since 2012, 65 private colleges and universities with enrollment of 500 students or more, that I know of, have reduced their tuition, and commensurately reduced their discount rate. Several more schools are planning price resets for fall 2024. Schools use this strategy to increase the number of students who will consider them, and this approach has been successful for more than 80 percent of the schools which have reduced their published price.

From DSC:
What I learned of economics in college would agree with this last bit. As the price goes down, demand goes up. And conversely, as the price goes up, demand goes down. As Lucie points out, many people don’t know about the heavily discounted prices within higher education. I’ve been fighting for price decreases for over 15 years…clearly, I haven’t had much success in that area. 

As the price goes down, the demand goes up.


Excerpts from Kristen Trader’s recent posting on LinkedIn:
(Emphasis DSC)

AI-assisted cheating isn’t a temptation if students have a reason to care about their own learning.

Yesterday I happened to listen to two different podcasts that ended up resonating with one another and with an idea that’s been rattling around inside my head with all of this moral uproar about generative AI:

** If we trust students – and earn their trust in return – then they will be far less motivated to cheat with AI or in any other way. **

First, the question of motivation. On the Intentional Teaching podcast, while interviewing James Lang and Michelle Miller on the impact of generative AI, Derek Bruff points out (drawing on Lang’s Cheating Lessons book) that if students have “real motivation to get some meaning out of [an] activity, then there’s far less motivation to just have ChatGPT write it for them.” Real motivation and real meaning FOR THE STUDENT translates into an investment in doing the work themselves.

Then I hopped over to one of my favorite podcasts – Teaching in Higher Ed – where Bonni Stachowiak was interviewing Cate Denial about a “pedagogy of kindness,” which is predicated on trusting students and not seeing them as adversaries in the work we’re doing.

So the second key element: being kind and trusting students, which builds a culture of mutual respect and care that again diminishes the likelihood that they will cheat.

Again, human-centered learning design seems to address so many of the concerns and challenges of the current moment in higher ed. Maybe it’s time to actually practice it more consistently. #aiineducation #higheredteaching #inclusiveteaching


How liberal arts colleges can make career services a priority — from highereddive.com by John Boyer
Creating internships and focusing on short-term experiences has a big impact, the longtime undergraduate dean at the University of Chicago says.


Virginia to eliminate degree requirements for most state jobs — from hrdive.com/ by Kathryn Moody
State movement on the issue reflects ongoing private sector interest in reducing reliance on four-year degrees for hiring purposes.


GETTING STARTED WITH MICROCREDENTIALS: A PRIMER FOR HIGHER EDUCATION LEADERS

GETTING STARTED WITH MICROCREDENTIALS: A PRIMER FOR HIGHER EDUCATION LEADERS — from cps.northeastern.edu by Ellen Stoddard | Allison Ruda | Emilee Trieckel | Sean R. Gallagher; with thanks to Goldie Blenstyk for this resource


3 Ways Campus Leaders Can Prepare Students for Technology Transformation in the Workforce — from campustechnology.comby Sandra Loughlin, Ph.D.
Consider these strategies for equipping students with the tech skills they will need to succeed post-graduation.


TI-ADDIE: A Trauma-Informed Model of Instructional Design — from er.educause.edu by Ali Carr-Chellman and Treavor Bogard
Adjusting the ADDIE model of instructional design specifically to accommodate trauma offers an opportunity to address the collective challenges that designers, instructors, and learners have faced during the current learning moment.

 

Online learning: Is it worth trying? — from social-and-emotional-learning.educationtechnologyinsights.com by Dr. Miko Nino


From DSC:
Dr. Nino makes several solid points in this article. The article won’t let me copy/paste some excerpts for you, but I would encourage you to look at it. 

I would add a few things:

  • The huge advantage of online-based learning is that a significant amount of learning-related data is automatically captured and doesn’t need to be manually entered (if such manually entered data ever does get entered…which most of it doesn’t).
  • Learners have much more control over the pacing within the digital realm — i.e., which media they want to use as well as stopping/fast-forwarding/rewinding certain kinds of media.
  • Most people are now required to be lifelong learners — where convenience and time-savings become very important factors in continuing one’s education
  • And finally, as AI and other technologies continue to make their way forward, it will be hard to beat online-based and/or hybrid-based learning. 
 

Teacher Burnout Statistics: Why Teachers Quit in 2023 — from devlinpeck.com by Devlin Peck

Excerpt:

What are the most common causes for teacher burnout?
There are plenty of reasons for teacher burnout. Teachers report:

  • Heavy workloads
  • A poor education landscape of Individual Education Program (IEP) plans
  • Staff shortages
  • Social media issues
  • Safety issues
  • Low salaries
  • Mental health
  • A deficit of education funds
  • And more

From DSC:
Our oldest daughter teaches third grade. She and all of the other third-grade teachers at her school are not returning next year. Ouch! The school system that she works for asks teachers to serve as daycare providers before and after the official school day. Plus, the workloads require 6-7 days a week, especially for first-year teachers and/or other teachers who needed to teach different grade levels (i.e., increased prep times).

 

 


From DSC:
I also wanted to highlight the item below, which Barsee also mentioned above, as it will likely hit the world of education and training as well:



Also relevant/see:


 

 

Professors Plan Summer AI Upskilling, With or Without Support — from insidehighered.com by Susan D’Agostino
Academics seeking respite from the fire hose of AI information and hot takes launch summer workshops. But many of the grass-roots efforts fall short of meeting demand.

Excerpt:

In these summer faculty AI workshops, some plan to take their first tentative steps in redesigning assignments to recognize the AI-infused landscape. Others expect to evolve their in-progress teaching-with-AI practices. At some colleges, full-time staff will deliver the workshops or pay participants for professional development time. But some offerings are grassroots efforts delivered by faculty volunteers attended by participants on their own time. Even so, many worry that the efforts will fall short of meeting demand.

From DSC:
We aren’t used to this pace of change. It will take time for faculty members — as well as Instructional Designers, Instructional Technologists, Faculty Developers, Learning Experience Designers, Librarians, and others — to learn more about AI and its implications for teaching and learning. Faculty are learning. Staff are learning. Students are learning. Grace is needed. And faculty/staff modeling what it is to learn themselves is a good thing for students to see as well.


Also relevant/see:

It takes a village… Reflections on sustainable learning design — from The Educationalist (educationalist.substack.com) by Alexandra Mihai

Excerpts:

This can be done first and foremost through collaboration, bringing more people at the table, in a meaningful workflow, whereby they can make the best use of their expertise. Moreover, we need to take a step back and keep the big picture in mind, if we want to provide our students with a valuable experience.

This is all about creating and nurturing partnerships. Thinking in an inclusive way about who is at the table when we design our courses and our programmes and who we are currently missing. Generally speaking, the main actors involved should be: teaching staff, learning design professionals (under all their various names) and students. Yes, students. Although we are designing for their learning, they are all too often not part of the process.

In order to yield results, collaborative practice needs to be embedded in the institutional fabric, and this takes time. Building silos happens fast, breaking them is a long term process. Creating a culture of dialogue, with clear and replicable processes is key to making collaborative learning design work.

From DSC:
To me, Alexandra is addressing the topic of using teams to design, develop, and teach/offer courses. This is where a variety of skills and specialties can come together to produce an excellent learning experience. No one individual has all of the necessary skills — nor the necessary time. No way.

 

NVIDIA ACE for Games is a new foundry for intelligent in-game characters powered by generative AI. Developers of middleware, tools, and games can use NVIDIA ACE for Games to build and deploy customized speech, conversation, and animation AI models in their software and games.

From DSC:
I can’t wait to see this type of thing integrated into educational games/simulations/training.

 

Law school students can take up to half of their credits online after ABA policy change — from highereddive.com by Jeremy Bauer-Wolf

Dive Brief:

  • Law school students can now take up to half of their classes online following a recent policy change by the American Bar Association.
  • ABA’s accrediting body voted last week to raise the ceiling on the number of credits students can earn online for their J.D., up from one-third.
  • It also struck down a prohibition on first-year law students taking no more than 10 credit hours remotely.

From DSC:
It’s almost June of 2023 and matters/impacts of Artificial Intelligence (AI) are increasingly popping up throughout our society. But WOW! Look at this recent piece of news from the American Bar Association: Law school students can now take up to 50% of their credits online! (It used to be just 30%.)

At a time when we need many more lawyers, judges, legislators, politicians, and others to be more informed about emerging technologies — as well as being more tech-savvy themselves — I don’t think the ABA should be patting themselves on the back for this policy change. It’s a step in the right direction, but why it’s not 100% is mind-boggling to me.

 

Below comments/notes are from DSC (with thanks to Roberto Ferraro for this resource):
according to Dan Pink, intrinsic motivation is very powerful — much more powerful for many types of “messy/unclear” cognitive work (vs. clear, more mechanical types of work). What’s involved here according to Pink? Autonomy, mastery, and purpose. 

Dan Pink makes his case in the video below. My question is:

  • If this is true, how might this be applied to education/training/lifelong learning?

From DSC (cont’d):

As Dan mentions, we each know this to be true. For example, for each of our kids, my wife and I introduced them to a variety of things — music, sports, art, etc. We kept waiting for them to discover which thing(s) that THEY wanted to pursue. Perhaps we’ll find out that this was the wrong thing to do. but according to Pink, it’s aligned with the type of energy and productivity that gets released when we pursue something that we want to pursue. Plus creativity flows in this type of setting. 

Again, my thanks to Roberto Ferraro for resurfacing this item as his “One ‘must read’ for this week” item of his newsletter.


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

 

Colleges Race to Hire and Build Amid AI ‘Gold Rush’ — from insidehighered.com Susan D’Agostino
Cue the bulldozers to make room for hordes of new AI faculty. But computer scientists willing to teach are in short supply, and innovation’s trajectory is rarely predictable.

A simulation of the University of Southern California’s new seven-story “computation hall,” part of its more than $1 billion AI initiative, which also includes 90 new faculty members and a new school.USC

Excerpt (emphasis DSC):

The University at Albany, part of the State University of New York, will hire 27 new faculty members—all specializing in AI—in the largest cluster hire in the institution’s history. Purdue University will recruit 50 new AI faculty. Emory University will hire between 60 and 75 new faculty members, including an endowed chair, for its AI Humanity Initiative.

When it comes to artificial intelligence, some universities are going big—very big. The University of Southern California has invested more than $1 billion in its AI initiative that will include 90 new faculty members, a new seven-story building and a new school.

From DSC:
Time will tell whether colleges and universities will be able to find and hire these folks.  My guess? For the most part, no they won’t.

Such talent will likely go to deep-pocketed players, startups, and/or new alternatives to institutions of traditional higher education. The disparate salary levels, risk-averse nature, and overall culture of higher education may not be attractive to some of these individuals. Plus, the future of higher education is not looking as solid.

 

Being a new teacher is hard. Having a good mentor can help — from npr.org by Cory Turner

Excerpt:

[Besides this article’s focus on mentorship]

In March, I reported a pair of stories from Jackson, Miss., where the school district is paying for unlicensed classroom aides to go back to school and get their master’s degrees.

In April, I told the story of a remarkable idea: A new high school in San Antonio dedicated entirely to training high-schoolers in the art and science of good teaching.

From DSC:
I would add a few more items:

  • Significantly reduce the impact of legislators on K-12. If they do vote on something that would impact schools, each legislator that votes on such legislation must first spend at least ___ week(s) observing in some of the schools that would be impacted before even starting to draft legislation and/or debate on the topic(s).
  • Instead, turn over more control and power to the students, teachers, K12 administrators, parents, and school boards.
  • Provide more choice, more control as each student can handle it.
  • Stop the one-size fits all system. Instead use AI-based systems to provide more personalized learning.
  • Develop more hybrid programs — but this time I’m talking mixing what we’ve known as public education with homeschooling and smaller learning pods. Let’s expand what’s included when we discuss “learning spaces.”
  • Strive for a love of learning — vs. competition and developing gameplayers
  • Support makerspaces, entrepreneurship, and experiments
  • Speaking of experiments, I would recommend developing more bold experiments outside of the current systems.

Along the lines of potential solutions/visions, see:

Why ‘System Transformation’ Is Likely A Pipe Dream — from michaelbhorn.substack.com by Michael Horn
But I’m for System Replacement

Excerpt:

Foremost among them is this: Despite all the fancy models and white papers around what are all the levers to pull in order to transform a system, system transformation almost never happens by changing the fundamental tenets of the system itself. Instead, it comes from replacing the system with a brand-new system.

To start to understand why, consider the complicated system in which public schools find themselves. As Thomas Arnett explained, they are one part of a vast value network of federal, state, and local regulators, voters and taxpayers, parents and students, teachers, administrators, unions, curriculum providers, school vendors, public infrastructure, higher education institutions, and more.

New ideas, programs, or entities that don’t fit into these processes, priorities, and cost structures are simply not plug-compatible into that value network. They consequently get rejected, tossed to the fringe, or altered to meet the needs of the existing actors in the value network.

 


From DSC:
It’s much easier to have or embrace the building of this mindset if one enjoys/enjoyed learning and/or at least had good experiences with school. But if school/education was a source of pain, this is not going to be so easy to do.

That’s why what’s happening in K-12 and higher education is so important. I’m grateful for those people who are working towards making those learning ecosystems work for as many people as possible.


 

 

A New Era for Education — from linkedin.com by Amit Sevak, CEO of ETS and Timothy Knowles, President of the Carnegie Foundation for the Advancement of Teaching

Excerpt (emphasis DSC):

It’s not every day you get to announce a revolution in your sector. But today, we’re doing exactly that. Together, we are setting out to overturn 117 years of educational tradition.

The fundamental assumption [of the Carnegie Unit] is that time spent in a classroom equals learning. This formula has the virtue of simplicity. Unfortunately, a century of research tells us that it’s woefully inadequate.


From DSC:
It’s more than interesting to think that the Carnegie Unit has outlived its usefulness and is breaking apart. In fact, the thought is very profound.

It's more than interesting to think that the Carnegie Unit has outlived its usefulness and is breaking apart. In fact, the thought is very profound.

If that turns out to be the case, the ramifications will be enormous and we will have the opportunity to radically reinvent/rethink/redesign what our lifelong learning ecosystems will look like and provide.

So I appreciate what Amit and Timothy are saying here and I appreciate their relaying what the new paradigm might look like. It goes with the idea of using design thinking to rethink how we build/reinvent our learning ecosystems. They assert:

It’s time to change the paradigm. That’s why ETS and the Carnegie Foundation have come together to design a new future of assessment.

    • Whereas the Carnegie Unit measures seat time, the new paradigm will measure skills—with a focus on the ones we know are most important for success in career and in life.
    • Whereas the Carnegie Unit never leaves the classroom, the new paradigm will capture learning wherever it takes place—whether that is in after-school activities, during a work-experience placement, in an internship, on an apprenticeship, and so on.
    • Whereas the Carnegie Unit offers only one data point—pass or fail—the new paradigm will generate insights throughout the learning process, the better to guide students, families, educators, and policymakers.

I could see this type of information being funneled into peoples’ cloud-based learner profiles — which we as individuals will own and determine who else can access them. I diagrammed this back in January of 2017 using blockchain as the underlying technology. That may or may not turn out to be the case. But the concept will still hold I think — regardless of the underlying technology(ies).

Perhaps blockchain will be the underlying technology to provide us with cloud-based learner profiles

For example, we are seeing a lot more articles regarding things like Comprehensive Learner Records (CLR) or Learning and Employment Records (LER; example here), and similar items.

LER — The Learning and Employment Record for a Skills-Based Economy


Speaking of reinventing our learning ecosystems, also see:

 
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