When Educators and Employers Work Together, Students Succeed — from hbsp.harvard.edu by Joseph Fuller and Manjari Raman

(Emphasis below from DSC)

Last year, in “The Partnership Imperative,” we put forth a set of more than 40 best practices that employers and educators can use to develop a close collaboration. As part of that effort, we identified three main goals and laid out strategies for achieving each.

  1. Partner with each other to offer training and education that is aligned with industry needs. (DSC: Similar to how Instructional Designers want alignment with learning objectives, learning activities, and assessments of learning.)
  2. Establish relationships with each other that result in the recruitment and hiring of students and graduates.
  3. Make supply-and-demand decisions that are informed by the latest data and trends.

From DSC:
Under #1, their strategies include:

Cocreate and regularly update college curriculums so that they reflect relevant technical and foundational skills based on industry needs. Codesign programs that fit with students’ lives and industry hiring cycles. Incorporate classroom experiences that simulate real-world settings and scenarios.

I see AI being able to identify what those changing, currently sought-after, and foundational skills are based on industry needs (which shouldn’t be hard, and vendors like Microsoft are already doing this by combing through the posted job descriptions on their platforms). These findings/results will help build regularly updated learning playlists and should provide guidance to learning-related organizations/groups/individuals/teams on what content to develop and offer  (i.e., courses/learning modules/micro-learning-based streams of content, other).

 

Can new AI help to level up the scales of justice? — from gtlaw.com.au by Peter Waters, Jason Oliver, and David Baddeley

So asks a recent study by two academics from Stanford Law School, David Freeman Engstrom and Nora Freeman Engstrom, on the potential impact of AI on the civil litigation landscape in the US.

It is against this landscape, the study observes, that champions of legal tech have suggested that there is an opportunity for legal tech to “democratise” litigation and put litigation’s “haves” and “have nots” on a more equal footing, by arming smaller firms and sole practitioners with the tools necessary to do battle against their better resourced opponents, and cutting the cost of legal services, putting lawyers within reach of a wider swathe of people.

But is this a real opportunity, and will AI be key to its realisation?

However, while AI may reduce the justice gap between the “haves” and “have-nots” of litigation, it could also exacerbate existing inequalities.

From DSC:
While this article approaches things from the lawyer’s viewpoint, I’d like to see this question and the use of AI from the common man’s/woman’s viewpoint. Why? In order to provide FAR GREATER access to justice (#A2J) for those who can’t afford a lawyer as they head into the civil law courtrooms.

  • Should I take my case to court? Do I have a chance to win this case? If so, how?
  • What forms do I need to complete if I’m going to go to court?
  • When and how do I address the judge?
  • What does my landlord have to do?
  • How do I prevent myself from falling into a debt-collection mess and/or what options do I have to get out of this mess?
  • Are there any lawyers in my area who would take my case on a pro bono basis?
  • …and judges and lawyers — as well as former litigants — could add many more questions (and answers) to this list

Bottom line:
It is my hope that technology can help increase access to justice.


Also relevant/see:

Virtual Justice? Exploring AI’s impact on legal accessibility — from nortonrosefulbright.com by Chris Owen and Mary-Frances Murphy

Excerpt (emphasis DSC):

A number of products are already under development, or have been launched. One example is a project that Norton Rose Fulbright is working on, together with not-for-profit legal service Justice Connect. The scope is to develop an automated natural language processing AI model that seeks to interpret the ‘everyday’ language used by clients in order to identify the client’s legal issues and correctly diagnose their legal problem. This tool is aimed at addressing the struggles that individuals often face in deciphering legal jargon and understanding the nature of their legal issue and the type of lawyer, or legal support, they need to resolve that problem.

 

Why Entrepreneurship Might Save Our Kids—and the Rest of Us. — from gettingsmart.com by Katie Kimbrell

Key Points (emphasis DSC):

  • We need to be asking our students “How did you put your ideas into the world today?”.
  • To be human is to be entrepreneurial.

One of my favorite mom friends asks her young school-aged kids every day, “What did you make today?”

I love how subtly subversive this question is. Not, “How was school today?” “Were you good today?” or, “How’s [insert school subject] going?” But, How did you put your ideas out into the world today?” 

That simple question understands this fundamental truth: to be human is to create, to employ our imaginations and partake in forming the world we want to live in.


Microschool in a Box: Programs Enabling the Microschool Movement — from gettingsmart.com by Nate McClennen

Key Points

  • Microschools are not new. In fact, they are as old as learning itself.
  • Funding and operations can be difficult within a microschool model. Programs and other organizations can support planning, design and implementation.

Microschools are meeting strong market demand for more personalized, more contextualized and more relevant learning for every student. Programs like ASU Prep’s Microschool in a Box make it possible for more learners to become future-ready with access to affordable, relational microschool learning.

Nate McClennen


The Science of Classroom Design — from edutopia.org by Youki Terada and Stephen Merrill
Our comprehensive, all-in, research-based look at the design of effective learning spaces.

Topics include:

  • Light
  • Ventilation and air quality
  • Complexity and color
  • Data walls
  • Nature, plants, and greenery
  • Representation
    • Students can experience representation in classrooms by seeing their own or peers’ artifacts on walls and in shared virtual spaces, or by being exposed to images and references that mirror their interests, passions, and backgrounds.
  • Flexibility
  • Learning differences and neurodivergence
  • Heat
  • Acoustics/noise
  • Seating arrangements
  • Learning Zones

Addendum on 12/1/23:

 

 

Where a developing, new kind of learning ecosystem is likely headed [Christian]

From DSC:
As I’ve long stated on the Learning from the Living [Class]Room vision, we are heading toward a new AI-empowered learning platform — where humans play a critically important role in making this new learning ecosystem work.

Along these lines, I ran into this site out on X/Twitter. We’ll see how this unfolds, but it will be an interesting space to watch.

Project Chiron's vision: Our vision for education Every child will soon have a super-intelligent AI teacher by their side. We want to make sure they instill a love of learning in children.


From DSC:
This future learning platform will also focus on developing skills and competencies. Along those lines, see:

Scale for Skills-First — from the-job.beehiiv.com by Paul Fain
An ed-tech giant’s ambitious moves into digital credentialing and learner records.

A Digital Canvas for Skills
Instructure was a player in the skills and credentials space before its recent acquisition of Parchment, a digital transcript company. But that $800M move made many observers wonder if Instructure can develop digital records of skills that learners, colleges, and employers might actually use broadly.

Ultimately, he says, the CLR approach will allow students to bring these various learning types into a coherent format for employers.

Instructure seeks a leadership role in working with other organizations to establish common standards for credentials and learner records, to help create consistency. The company collaborates closely with 1EdTech. And last month it helped launch the 1EdTech TrustEd Microcredential Coalition, which aims to increase quality and trust in digital credentials.

Paul also links to 1EDTECH’s page regarding the Comprehensive Learning Record

 

The new apprenticeships — from jordanfurlong.substack.com by Jordan Furlong
Several American states are rewriting the rules of lawyer licensure and bringing the US into line with a key element of lawyer formation worldwide: supervised practice.

Change comes so gradually and fitfully to the legal sector that when something truly revolutionary happens — an actual turning point with an identifiable real-world impact — we have to mark the occasion. One such revolution broke out in the United States last week, opening up fantastic new possibilities for Americans who want to become lawyers.

The Oregon Supreme Court approved a new licensure program that does not require passage of a traditional written bar exam. After graduating from law school, aspiring Oregon lawyers can complete 675 hours of paid legal work under the supervision of an experienced attorney, assembling a portfolio of legal work to be assessed by bar admission officials. Candidates must submit eight samples of legal writing, take the lead in at least two initial client interviews or client counseling sessions, and oversee two negotiations, among other requirements.

Jordan mentions what’s going on in several other states including:

  • Utah
  • Washington
  • Minnesota
  • Nevada
  • California
  • Massachusetts
  • South Dakota

From DSC:
The Bar Exam doesn’t have a good reputation for actually helping get someone ready to practice law. So this is huge news indeed! The U.S. needs more people/specialists at the legal table moving forward. The items Jordan relays in this posting are a huge step forward in making that a reality.


For other innovations within the legal realm, see:

LawSchoolAi — from youtube.com

Picture this: A world where anyone can unlock the doors to legal expertise, no matter their background or resources. Introducing Law School AI – the game-changing platform turning this vision into reality. Our mission? To make legal education accessible, affordable, and tailored to every learner’s unique style, by leveraging the power of artificial intelligence.

As a trailblazing edtech company, Law School AI fuses cutting-edge AI technology with modern pedagogical techniques to craft a personalized, immersive, and transformative learning experience. Our platform shatters boundaries, opening up equal opportunities for individuals from all walks of life to master the intricacies of law.

Embrace a new era of legal education with Law School AI, where the age-old law school experience is reimagined as a thrilling, engaging, and interactive odyssey. Welcome to the future of legal learning.

 

 

 

How ChatGPT changed my approach to learning — from wondertools.substack.com Jeremy Caplan and Frank Andrade
A guest contributor tutored himself with AI

Excerpt:

Frank: ChatGPT has changed how I learn and practice new things every day.

  • I use ChatGPT not only to fix my mistakes, but also to learn from them.
  • I use ChatGPT Voice to explore new topics, simulate job interviews, and practice foreign languages.
  • You can even use ChatGPT Vision to learn from images!

Here’s how to use AI to enhance your learning.

 


When schools and families go to court over special education, everyone loses — from wfyi.org by Lee Gaines

While federal law mandates public schools provide an appropriate education to students with disabilities, it’s often up to parents to enforce it.

Schwarten did what few people have the resources to do: she hired a lawyer and requested a due process hearing. It’s like a court case. And it’s intended to resolve disputes between families and schools over special education services.

It’s also a traumatic and adversarial process for families and schools that can rack up hundreds of thousands of dollars in legal fees and destroy relationships between parents and district employees. And even when families win, children don’t always get the public education they deserve.


Future of Learning: Native American students have the least access to computer science — from The Hechinger Report by Javeria Salman

But computer science lessons like the ones at Dzantik’i Heeni Middle School are relatively rare. Despite calls from major employers and education leaders to expand K-12 computer science instruction in response to the workforce’s increasing reliance on digital technology, access to the subject remains low — particularly for Native American students.

Only 67 percent of Native American students attend a school that offers a computer science course, the lowest percentage of any demographic group, according to a new study from the nonprofit Code.org. A recent report from the Kapor Foundation and the American Indian Science and Engineering Society, or AISES, takes a deep look at why Native students’ access to computer and technology courses in K-12 is so low, and examines the consequences.


The Case for Andragogy in Educator Development — from Dialogic #341 by Tom Barrett

Understanding the Disconnect
We often find ourselves in professional development sessions that starkly contrast with the interactive and student-centred learning environments we create. We sit as passive recipients rather than active participants, receiving generic content that seldom addresses our unique experiences or teaching challenges.

This common scenario highlights a significant gap in professional development: the failure to apply the principles of adult learning, or andragogy, which acknowledges that educators, like their students, benefit from a learning process that is personalised, engaging, and relevant.

The irony is palpable — while we foster environments of inquiry and engagement in our classrooms, our learning experiences often lack these elements.

The disconnect prompts a vital question: If we are to cultivate a culture of lifelong learning among our students, shouldn’t we also embody this within our professional growth? It’s time for the professional development of educators to reflect the principles we hold dear in our teaching practices.

 

Why Kindness at Work Pays Off — from hbr.org by Andrew Swinand; via Roberto Ferraro

Summary:
Whether you’re just entering the workforce, starting a new job, or transitioning into people management, kindness can be a valuable attribute that speaks volumes about your character, commitment, and long-term value. Here are a few simple routines you can integrate into your everyday work life that will spread kindness and help create a culture of kindness at your organization.

  • Practice radical self-care. The best way to be a valuable, thoughtful team member is to be disciplined about your own wellness — your physical, emotional, and mental well-being.
  • Do your job. Start with the basics by showing up on time and doing your job to the best of your ability. This is where your self-care practice comes into play — you can’t do your best work without taking care of yourself first.
  • Reach out to others with intention. Make plans to meet virtually or, even better, in person with your colleagues. Ask about their pets, their recent move, or their family. Most importantly, practice active listening.
  • Recognize and acknowledge people. Authentic, thoughtful interactions show that you’re thinking about the other person and reflecting on their unique attributes and value, which can cement social connections.
  • Be conscientious with your feedback. Being kind means offering feedback for the betterment of the person receiving it and the overall success of your company.

“When anxiety is high and morale is low, kindness isn’t a luxury — it’s a necessity. With mass layoffs, economic uncertainty, and geopolitical tensions, kindness is needed now more than ever, especially at work.”

 

Advice From More than A Decade of Career Pathway Innovation — from gettingsmart.com by Hilary Sontag and Kerri McDermid

A student uses a drill press to work on an engineering project.

Excerpt:

With nearly 15 years of experience in building and leading career-connected learning initiatives, St. Vrain offers a roadmap for districts of all sizes who are beginning the journey to create their own pathways of opportunity for students.

Over the past decade, St. Vrain Valley Schools has launched more than two dozen career pathways and now has a goal to offer quality work-based learning experiences for every graduate. As staff have developed these opportunities, St. Vrain has seen significant increases in graduation rates – approximately 94 percent of St. Vrain students graduate high school in four years – and a significant decrease in dropout rates to less than one percent of students. Graduation rates among our Hispanic students have increased by 30 percentage points, almost completely eliminating graduation rate gaps between all students and students of color. St. Vrain’s post-pandemic achievement has also accelerated at a remarkable pace. Building career-connected programming, and offering it as early and broadly as possible, has demonstrated a compelling case for the effectiveness of career pathways in accelerating achievement and student success.


The value of hands-on learning in prison — from college-inside.beehiiv.com  by Charlotte West
Women in Washington reflect on their experience with a pre-apprenticeship that introduces them to the trades.

When I visited the prison in May, Brittany Wright had plans to go down to the Cement Masons & Plasterers Local Union 528 in Seattle when she got out a few days later. She’s now an apprentice working on a light rail expansion project for Sound Transit, making $31 an hour plus benefits. “I’m a little nervous, but more excited to get out there and actually start using the trades,” she told me at the time. “They seem like they’re willing to work with me. And that’s all that matters.”

 

The Learning & Employment Records (LER) Ecosystem Map — with thanks to Melanie Booth on LinkedIn for this resource
Driving Opportunity and Equity Through Learning & Employment Records

The Learning & Employment Records (LER) Ecosystem Map

Imagine A World Where…

  • Everyone is empowered to access learning and earning opportunities based on what they know and can do, whether those skills and abilities are obtained through degrees, work experiences, or independent learning.
  • People can capture and communicate the skills and competencies they’ve acquired across their entire learning journey — from education, experience and service — with more ease, confidence, and clarity than a traditional resume.
  • Learners and earners control their information and can curate their skills to take advantage of every opportunity they are truly qualified to pursue, opening up pathways that help address systemic inequities.
  • Employers can tap into a wider talent pool and better match applicants to opportunities with verifiable credentials that represent skills, competencies, and achievements.

This is the world that we believe can be created by Learning and Employment Records (LERs), i.e. digital records of learning and work experiences that are linked to and controlled by learners and earners. An interoperable, well-governed LER ecosystem has the potential to transform the future of work so that it is more equitable, efficient, and effective for everyone involved— individuals, training and education providers, employers, and policymakers.


Also per Melanie Booth, see:

 

WHAT WAS GARY MARCUS THINKING, IN THAT INTERVIEW WITH GEOFF HINTON? — from linkedin.com by Stephen Downes

Background (emphasis DSC): 60 Minutes did an interview with ‘the Godfather of AI’, Geoffrey Hinton. In response, Gary Marcus wrote a column in which he inserted his own set of responses into the transcript, as though he were a panel participant. Neat idea. So, of course, I’m stealing it, and in what follows, I insert my own comments as I join the 60 Minutes panel with Geoffrey Hinton and Gary Marcus.

Usually I put everyone else’s text in italics, but for this post I’ll put it all in normal font, to keep the format consistent.

Godfather of Artificial Intelligence Geoffrey Hinton on the promise, risks of advanced AI


OpenAI’s Revenue Skyrockets to $1.3 Billion Annualized Rate — from maginative.com by Chris McKay
This means the company is generating over $100 million per month—a 30% increase from just this past summer.

OpenAI, the company behind the viral conversational AI ChatGPT, is experiencing explosive revenue growth. The Information reports that CEO Sam Altman told the staff this week that OpenAI’s revenue is now crossing $1.3 billion on an annualized basis. This means the company is generating over $100 million per month—a 30% increase from just this past summer.

Since the launch of a paid version of ChatGPT in February, OpenAI’s financial growth has been nothing short of meteoric. Additionally, in August, the company announced the launch of ChatGPT Enterprise, a commercial version of its popular conversational AI chatbot aimed at business users.

For comparison, OpenAI’s total revenue for all of 2022 was just $28 million. The launch of ChatGPT has turbocharged OpenAI’s business, positioning it as a bellwether for demand for generative AI.



From 10/13:


New ways to get inspired with generative AI in Search — from blog.google
We’re testing new ways to get more done right from Search, like the ability to generate imagery with AI or creating the first draft of something you need to write.

 

Next month Microsoft Corp. will start making its artificial intelligence features for Office widely available to corporate customers. Soon after, that will include the ability for it to read your emails, learn your writing style and compose messages on your behalf.

From DSC:
As readers of this blog know, I’m generally pro-technology. I see most technologies as tools — which can be used for good or for ill. So I will post items both pro and con concerning AI.

But outsourcing email communications to AI isn’t on my wish list or to-do list.

 

The Public Is Giving Up on Higher Ed — from chronicle.com by Michael D. Smith
Our current system isn’t working for society. Digital alternatives can change that.

Excerpts:

I fear that we in the academy are willfully ignoring this problem. Bring up student-loan debt and you’ll hear that it’s the government’s fault. Bring up online learning and you’ll hear that it is — and always will be — inferior to in-person education. Bring up exclusionary admissions practices and you’ll hear something close to, “Well, the poor can attend community colleges.”

On one hand, our defensiveness is natural. Change is hard, and technological change that risks making traditional parts of our sector obsolete is even harder. “A professor must have an incentive to adopt new technology,” a tenured colleague recently told me regarding online learning. “Innovation adoption will occur one funeral at a time.”

But while our defense of the status quo is understandable, maybe we should ask whether it’s ethical, given what we know about the injustice inherent in our current system. I believe a happier future for all involved — faculty, administrators, and students — is within reach, but requires we stop reflexively protecting our deeply flawed system. How can we do that? We could start by embracing three fundamental principles.

1. Digitization will change higher education.

2. We should want to embrace this change.

3. We have a way to embrace this change.

I fear that we in the academy are willfully ignoring this problem. Bring up student-loan debt and you’ll hear that it’s the government’s fault. Bring up online learning and you’ll hear that it is — and always will be — inferior to in-person education. Bring up exclusionary admissions practices and you’ll hear something close to, “Well, the poor can attend community colleges.”

 

 

As AI Chatbots Rise, More Educators Look to Oral Exams — With High-Tech Twist — from edsurge.com by Jeffrey R. Young

To use Sherpa, an instructor first uploads the reading they’ve assigned, or they can have the student upload a paper they’ve written. Then the tool asks a series of questions about the text (either questions input by the instructor or generated by the AI) to test the student’s grasp of key concepts. The software gives the instructor the choice of whether they want the tool to record audio and video of the conversation, or just audio.

The tool then uses AI to transcribe the audio from each student’s recording and flags areas where the student answer seemed off point. Teachers can review the recording or transcript of the conversation and look at what Sherpa flagged as trouble to evaluate the student’s response.

 
© 2024 | Daniel Christian