change

“Navigating the Future of Learning in a Digitally-Disrupted World” [Cailey] + several other AI in education items

On 08/05/2023, in Artificial Intelligence/Agents/LLMs/and Related, Australia, change, colleges, community colleges, content development, aggregation, repositories, disruption, education, emerging technologies, future, future of higher education, game-changing environment, global / globalization, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, legislatures / government / legal, platforms, policy, society, student-related, teachers, teaching & learning, UK, United States, universities, vision/possibilities, by Daniel Christian

Navigating the Future of Learning in a Digitally-Disrupted World — from thinklearningstudio.org by Russell Cailey

Are we on the frontier of unveiling an unseen revolution in education? The hypothesis is that this quiet upheaval’s importance is far more significant than we imagine. As our world adjusts, restructures, and emerges from a year which launched an era of mass AI, so too does a new academic year dawn for many – with hope and enthusiasm about new roles, titles, or simply just a new mindset. Concealed from sight, however, I believe a significant transformative wave has started and will begin to reshape our education systems and push us into a new stage of innovative teaching practice whether we desire it or not. The risk and hope is that the quiet revolution remains outside the regulator’s and ministries’ purview, which could risk a dangerous fragmentation of education policy and practice, divorced from the actualities of the world ‘in and outside school’.

“This goal can be achieved through continued support for introducing more new areas of study, such as ‘foresight and futures’, in the high school classroom.”

Four directions for assessment redesign in the age of generative AI— from timeshighereducation.com by Julia Chen
The rise of generative AI has led universities to rethink how learning is quantified. Julia Chen offers four options for assessment redesign that can be applied across disciplines

Direction 1: From written description to multimodal explanation and application

Direction 2: From literature review alone to referencing lectures

Direction 3: From presentation of ideas to defence of views

Direction 4: From working alone to student-staff partnership

15 Inspirational Voices in the Space Between AI and Education — from jeppestricker.substack.com by Jeppe Klitgaard Stricker
Get Inspired for AI and The Future of Education.

If you are just back from vacation and still not quite sure what to do about AI, let me assure you that you are not the only one. My advice for you today is this: fill your LinkedIn-feed and/or inbox with ideas, inspirational writing and commentary on AI. This will get you up to speed quickly and is a great way to stay informed on the newest movements you need to be aware of.

My personal recommendation for you is to check out these bright people who are all very active on LinkedIn and/or have a newsletter worth paying attention to. I have kept the list fairly short – only 15 people – in order to make it as easy as possible for you to begin exploring.

Universities say AI cheats can’t be beaten, moving away from attempts to block AI (Australia) — from abc.net.au by Jake Evans

Key points:

Universities have warned against banning AI technologies in academia
Several say AI cheating in tests will be too difficult to stop, and it is more practical to change assessment methods
The sector says the entire nature of teaching will have to change to ensure students continue to effectively learn

Navigating A World of Generative AI: Suggestions for Educators — from nextlevellab.gse.harvard.edu by Lydia Cao and Chris Dede

Understanding the nature of generative AI is crucial for educators to navigate the evolving landscape of teaching and learning. In a new report from the Next Level Lab, Lydia Cao and Chris Dede reflect on the role of generative AI in learning and how this pushes us to reconceptualize our visions of effective education. Though there are concerns of plagiarism and replacement of human jobs, Cao and Dede argue that a more productive way forward is for educators to focus on demystifying AI, emphasizing the learning process over the final product, honoring learner agency, orchestrating multiple sources of motivation, cultivating skills that AI cannot easily replicate, and fostering intelligence augmentation (IA) through building human-AI partnerships.

20 CHATGPT PROMPTS FOR ELA TEACHERS — from classtechtips.com by Dr. Monica Burns

Have you used chatbots to save time this school year? ChatGPT and generative artificial intelligence (AI) have changed the way I think about instructional planning. Today on the blog, I have a selection of ChatGPT prompts for ELA teachers.

You can use chatbots to tackle tedious tasks, gather ideas, and even support your work to meet the needs of every student. In my recent quick reference guide published by ISTE and ASCD, Using AI Chatbots to Enhance Planning and Instruction, I explore this topic. You can also find 50 more prompts for educators in this free ebook.

Professors Craft Courses on ChatGPT With ChatGPT — from insidehighered.com by Lauren Coffey
While some institutions are banning the use of the new AI tool, others are leaning into its use and offering courses dedicated solely to navigating the new technology.

Maynard, along with Jules White at Vanderbilt University, are among a small number of professors launching courses focused solely on teaching students across disciplines to better navigate AI and ChatGPT.

The offerings go beyond institutions flexing their innovation skills—the faculty behind these courses view them as imperative to ensure students are prepared for ever-changing workforce needs.

GPT-4 can already pass freshman year at Harvard | professors need to adapt to their students’ new reality — fast — from chronicle.com by Maya Bodnick (an undergraduate at Harvard University, studying government)

A. A. A-. B. B-. Pass.

That’s a solid report card for a freshman in college, a respectable 3.57 GPA. I recently finished my freshman year at Harvard, but those grades aren’t mine — they’re GPT-4’s.
…
Three weeks ago, I asked seven Harvard professors and teaching assistants to grade essays written by GPT-4 in response to a prompt assigned in their class. Most of these essays were major assignments which counted for about one-quarter to one-third of students’ grades in the class. (I’ve listed the professors or preceptors for all of these classes, but some of the essays were graded by TAs.)

Here are the prompts with links to the essays, the names of instructors, and the grades each essay received…

The impact that AI is having on liberal-arts homework is indicative of the AI threat to the career fields that liberal-arts majors tend to enter. So maybe what we should really be focused on isn’t, “How do we make liberal-arts homework better?” but rather, “What are jobs going to look like over the next 10–20 years, and how do we prepare students to succeed in that world?”

The great assessment rethink — from timeshighereducation.com by
How to measure learning and protect academic integrity in the age of ChatGPT

Post-prison job training [Sanchez & García Mathewson]

On 07/31/2023, in business, change, law schools, legislatures / government / legal, society, sociology, Uncategorized, vision/possibilities, workplace, by Daniel Christian

Post-prison job training — hechingerreport.org by Olivia Sanchez and Tara García Mathewson

We’ve known for a long time that higher education can play a huge role in helping people who serve time in prison get back on their feet. Research shows that higher-ed attainment is directly correlated with a lower likelihood of being reincarcerated, as is stable employment.

But people getting out of prison face many obstacles in finding jobs, and lack of educational opportunities is just part of the issue. A patchwork of more than 14,000 federal, state and local laws and regulations restricts individuals who have arrest and conviction histories from getting licensed in certain fields. Here’s some of what my reporting found about how pervasive this problem is and why it matters:

Generative AI and the future of work in America — from mckinsey.com by Kweilin Ellingrud, Saurabh Sanghvi, Gurneet Singh Dandona, Anu Madgavkar, Michael Chui, Olivia White, and Paige Hasebe

At a glance

During the pandemic (2019–22), the US labor market saw 8.6 million occupational shifts, 50 percent more than in the previous three-year period.
By 2030, activities that account for up to 30 percent of hours currently worked across the US economy could be automated—a trend accelerated by generative AI.
Federal investment to address climate and infrastructure, as well as structural shifts, will also alter labor demand.
An additional 12 million occupational transitions may be needed by 2030.
The United States will need workforce development on a far larger scale as well as more expansive hiring approaches from employers.

Employers will need to hire for skills and competencies rather than credentials, recruit from overlooked populations (such as rural workers and people with disabilities), and deliver training that keeps pace with their evolving needs.

The AI-Powered, Totally Autonomous Future of War Is Here — from wired.com by Will Knight
Ships without crews. Self-directed drone swarms. How a US Navy task force is using off-the-shelf robotics and artificial intelligence to prepare for the next age of conflict.

From DSC:
Hhhhmmmmm…..not good. Is anyone surprised by this? No, I didn’t think so either. That’s why the United States and China are so heated up about semiconductor chips.

AI puts glitch in graduates’ employment plans — from hrdive.com by Ginger Christ
Recent grads are worried how AI will affect their career prospects, a new survey found.

Excerpt:

The proliferation of new technologies like generative artificial intelligence is making recent graduates uneasy, a new study released Thursday found. A third of the 1,000 people who graduated in the past year said they are second-guessing their career choice, while roughly half reported questioning their workforce preparedness and feeling threatened by AI, according to the 2023 Employability Report by Cengage Group, a global education technology company.

“The workplace has changed rapidly in the last few years, and now we are witnessing a new shift as AI begins to reshape worker productivity, job requirements, hiring habits and even entire industries,” Michael Hansen, Cengage Group CEO, said in a news release.

Along these lines, also see:

AI Boom Creates Concerns for Recent Graduates — from insidehighered.com by Lauren Coffey

More than half of recent graduates question whether they are properly prepared for the workforce in light of the rise of artificial intelligence, a survey finds.
…
There is also more of a preference for skills training credentials. Among employers, nearly 40 percent said skills training credentials are most important, while only 19 percent ranked a college degree as most important.
…
However, recent graduates did cite an issue with most higher education institutions’ ability to teach employability skills. In 2023, 43 percent of students said their degree program taught them the necessary skills for their first job, down 20 percentage points from 2022.

Instructure, Khan Academy Announce Major Partnership On AI Tutoring, Teaching
— from forbes.com by Derek Newton

The news is that Instructure, one of the few public education companies and the market leader in learning management with their signature product Canvas, struck a partnership with Khan Academy to create an AI-powered tutoring and teaching assistant tool – merging Khan’s innovative instructional content and Instructure’s significant reach, scale, and data insights. The partnership and related tools will be known as Khanmigo, according to the announcement.

On brand names alone, this is a big deal. On potential impact, it could be even bigger.

How To Use AI to Write Scenarios — from christytuckerlearning.com by Christy Tucker
How can you use AI to write scenarios for learning? Read this example with prompts and results using ChatGPT and Bard.

Excerpts:

So far, I have found these tools helpful in generating ideas, writing first drafts, and summarizing. They work better for general knowledge tasks than really specific topics unless I provide more details to them, which makes sense.

This post isn’t going to give you “5 magical prompts to instantly write scenarios for you” or anything like that. Instead, this is a “working out loud” post where I’ll share some prompts I have used.

Christy’s posting includes:

“The Meeting from Hell”
“The Backstabbing Coworker”
“The Boss from Hell”
“The Office Romance Gone Wrong”
“The New Hire with Attitude”

Some potential tools for you to check out:

15 Best AI Tools for Education in 2023 — finance.yahoo.com by Maliha Shaikh

DC: I’m sympathetic to those who are supposed to be making policy when what we’re dealing with continues to evolve/change so quickly. https://t.co/1KB8dSFWaO

— Daniel Christian (he/him/his) (@dchristian5) July 27, 2023

The Rise of the Talent Economy — from drphilippahardman.substack.com by Dr. Philippa Hardman
How Education & Training Will Dictate the Future & Impact of AI

“Talent, more than capital, will represent the critical factor of production.”
…
In short, the demand for AI skills requires a significant transformation in training and education models. To bridge the global skills gap, educational institutions, online learning providers, and employers must design and deliver training programs that cater to the rapidly evolving AI-driven labor market.

How ChatGPT killed my discussion boards and prompted new prompts — from timeshighereducation.com by Sara Cline; per Robert Gibson on LinkedIn
Advice on learning and discussion prompts that require students to think beyond the remit of AI responses

Excerpts:

To combat this problem, we modified some of our prompts this summer to try to prevent students from using AI to avoid learning. I’m sharing some of our strategies in the hope that they help you out as you adapt your course to a world of generative AI.

Use prompts that force a personal opinion.
Have students include their source(s) as an attachment.
Use current or local events.
Have them take and caption a photo.
Draw a diagram or chart.
Build and explain a 3D model.
Include timestamps from lecture videos.
Scrap the discussion boards.

Dark web ChatGPT is here… — from therundown.ai

The Rundown: A new cybercrime generative AI tool called FraudGPT is being advertised on the Dark web and Telegram channels, offering offensive capabilities like crafting spear-phishing emails and creating undetectable malware.
…
Why it matters: Scammers can now look more realistic than ever before and at a larger scale. The sad truth is that the emergence of cybercrime AI tools like FraudGPT is just beginning.

From DSC:
If true and if it could help build and/or contribute to cloud-based learner profiles, this could be huge.

#Linkedin is working on LinkedIn Coach!

It’s an AI ASSISTANT that helps you apply for JOBS, learn new SKILLS, and find more ways to CONNECT with your network! pic.twitter.com/jKBrPmEFJt

— Nima Owji (@nima_owji) July 27, 2023

Wayfair’s AI tool can redraw your living room and sell you furniture — from theverge.com by Wes Davis
The home decoration company’s new Decorify AI remodeling tool is clumsy but could be effective for visualization while remodeling.

Education was once the No. 1 major for college students. Now it’s an afterthought. [Picchi & Bangalore]

On 07/24/2023, in career development, change, education, education reform, K-12 related, pace of change, parents/guardians, student-related, teachers, workplace, by Daniel Christian

Education was once the No. 1 major for college students. Now it’s an afterthought. — from cbsnews.com by Aimee Picchi & Sanvi Bangalore; via GSV

Today, education is an afterthought for many college students, who are more likely to study business, engineering, and even the visual and performing arts, according to data from the National Center for Educational Statistics. Even as the population of college students has increased by 150% since 1970, the number of bachelor’s degrees in education has plummeted by almost 50% — a steeper drop than that for English, literature and foreign language majors.

On a somewhat-related note, also see:

‘We’re going to have to be a little more nimble’: How school districts are responding to AI — from by Javeria Salman
School districts are training teachers on generative AI and encouraging them to experiment with the tools for lesson planning and remedial help

Roschelle said he wants to see school leaders and educators experiment in ways that don’t carry big risks for students, such as changing a few lesson plans. “I personally would advise school districts not to rush into buying a particular product, but really treat this year as a chance to educate yourself,” he said.

It’s a sentiment echoed by Richard Culatta, CEO of ISTE, which recently published a guide on AI in collaboration with AASA, the School Superintendents Association. What schools need to do, he said, is provide teachers with a better understanding of what AI is and share examples of how to use it.

National ChatGPT Survey: Teachers Accepting AI Into Classrooms & Workflow — Even More Than Students — from the74million.org by Greg Toppo
42% of students use ChatGPT, up from 33% in a prior survey. Their teachers are way ahead of them, with now 63% saying they’ve used the tool on the job

Teachers … and parents … believe it’s legit
Teachers who use ChatGPT overwhelmingly give it good reviews. Fully 84% say it has positively impacted their classes, with about 6 in 10 (61%) predicting it will have “legitimate educational uses that we cannot ignore.”

New Book Aims to Reshape the Future of Learning (With Your Help) — from samchaltain.substack.com by Sam Chaltain

What circumstances would be required for the existing educational model to be deemed obsolete?
What stands in the way of those circumstances coming to pass?
And if you were to craft a tool that actually helped people create those circumstances, what would you want that sort of resource to be, say, and do?

Last week, in Istanbul, a select group of educators, architects, students and entrepreneurs met to wrestle with those questions, as part of a yearlong collaborative design project.

What small changes could have the biggest impact and help spark the larger revolution we seek?

Will the future even have occupations — and if so, what are they most likely to be?

What is most essential to know and embody in the next 25 years?

The Great Unbundling — from educationnext.org by Joseph Olchefske and Steven Adamowski
Is the parents’ rights movement opening a new frontier in school choice?

The mindsets of parents are changing—rapidly—as they make decisions about the schooling of their children. Over the past few years, a convergence of two megatrends—pandemic desperation and parental-rights politics—has driven many families to reconsider the traditional school model and find ways of “unbundling” their children’s schooling into discrete elements that are controlled by the parent rather than the school.

While parent-led unbundling is not a new phenomenon, the current movement has expanded so quickly that it’s been dubbed “the Great Unbundling” of K–12 schooling.

The Great Unbundling is now influencing the education marketplace, as a broad set of nonschool vendors have responded to this unprecedented demand by pitching their education services directly to families: “microschools,” online courses, private tutoring, learning pods, and outdoor learning experiences.

Yes, AI could profoundly disrupt education. But maybe that’s not a bad thing — from theguardian.com by Rose Luckin; with thanks to Will Richardson and Homa Tavangar for this resource
Humans need to excel at things AI can’t do – and that means more creativity and critical thinking and less memorisation

Staying ahead of AI will mean radically rethinking what education is for, and what success means. Human intelligence is far more impressive than any AI system we see today. We possess a rich and diverse intelligence, much of which is unrecognised by our current education system.

How we can teach children so they survive AI – and cope with whatever comes next — from theguardian.com by George Monbiot
It’s not enough to build learning around a single societal shift. Students should be trained to handle a rapidly changing world

I don’t claim to have definitive answers. But I believe certain principles would help. One is that rigidity is lethal. Any aspect of an education system that locks pupils in to fixed patterns of thought and action will enhance their vulnerability to rapid and massive change. For instance, there could be no worse preparation for life than England’s Standard Assessment Tests, which dominate year 6 teaching. If the testimony of other parents I know is representative, SATs are a crushing experience for the majority of pupils, snuffing out enthusiasm, forcing them down a narrow, fenced track and demanding rigidity just as their minds are seeking to blossom and expand.

Education, to the greatest extent possible, should be joyful and delightful, not only because joy and delight are essential to our wellbeing, but also because we are more likely to withstand major change if we see acquiring new knowledge and skills as a fascinating challenge, not a louring threat.

BRINGING AI TO SCHOOL: TIPS FOR SCHOOL LEADERS— a mini ebook from ISTE

Artificial Intelligence is having a major impact on education. Whether you are excited or
concerned about AI, as a school leader you have a responsibility to ensure AI is approached
thoughtfully and appropriately in your school community and informs your vision for teaching and learning. This guide will help you quickly gain the background you need as a learning leader in an AI infused world.

Schools that have been successful in bringing AI into their schools in purposeful ways have some common strategies. The following five strategies are critical for a successful AI culture in your school.

The Potential Impact of AI Technology on Education. — from medium.com by Happiness Uduak

In this article, we’ll explore the potential impact of AI on education, and then take a look at how it could shape the human view of learning for good.

Teaching Through Asking Rather Than Telling — from edutopia by Jay Schauer
High school teachers can promote active learning by strategically replacing some direct instruction with questions that produce thoughtful conversations.

Does much of your teaching resemble the lectures you and 20 or 50 or 400 of your closest college friends received from a “sage on the stage”? Are you frustrated that most of your students won’t remember much from the fascinating information you just delivered to them for 15 or 30 or 55 minutes? If so, maybe it’s time to implement more ARTT—Ask, Rather Than Tell—into your teaching.

I started doing a lot of asking in order to help students make connections, establish common baseline understandings, and identify knowledge gaps or areas of misunderstanding, rather than telling them information. My lectures then evolved into more meaningful conversations.

Best Free Virtual Labs — from techlearning.com by Diana Restifo
These best virtual lab sites and apps are all free, highly engaging, and informative—and most don’t require registration

Many schools don’t have robust in-person laboratory facilities, instead relying primarily on dry textbooks to teach difficult STEM topics. But even schools with quality labs can benefit from these innovative and flexible online simulations.

The following top virtual lab sites and apps are all free, highly engaging, and informative—and most don’t require registration. Since most browsers no longer support Java or Flash, sites built exclusively with those outdated technologies have been excluded.

Gov. Gretchen Whitmer launching new education-focused state department — from detroitnews.com by Craig Mauger and Chad Livengood

Whitmer’s office said Wednesday the new Michigan Department of Lifelong Education, Achievement and Potential, or MiLEAP, will feature offices governing early childhood education, higher education and “education partnerships.”

“Establishing MiLEAP ensures all available resources, data and dollars are aligned around a single vision — supporting an education system focused on lifelong learning that can support the economy of the future and helping anyone make it in Michigan,” according to a “talking points” document obtained by The Detroit News on Wednesday morning.

How to Get Kids to Read for Fun — from nataliewexler.substack.com by Natalie Wexler
An overemphasis on analytical skills can make reading a joyless task.

Schools have been giving students isolated bits of text rather than letting them sink their teeth into engaging novels, and they’ve prioritized teaching analytical reading skills over allowing kids to immerse themselves in a good story.

Celebrating Student Interests to Create a Positive High School Culture — from edutopia.org by Nicole Rossi-Mumpower
Events that center students’ picks in art, music, and food can create powerful opportunities for them to increase their sense of belonging.

Modeled after the First Friday events that take place in many cities and towns (when community members gather to experience local culture), First Fridays at school offer students a chance to listen to music, view art, and sample cuisine.?The tradition has become a cornerstone of our school community and is replicable across school sites.

THE IMPORTANCE OF A MEANINGFUL SCHOOL CULTURE
Creating a positive school climate and culture is essential for student success. When students feel like they are an important part of the community, they’re more likely to be engaged in their learning and have a positive attitude toward school.

Actors say Hollywood studios want their AI replicas — for free, forever [Webster]

On 07/14/2023, in Artificial Intelligence/Agents/LLMs/and Related, business, career development, change, changing business models, digital audio, digital storytelling, digital video, drama/theater, media/film, television, United States, vision/possibilities, workplace, by Daniel Christian

Actors say Hollywood studios want their AI replicas — for free, forever — from theverge.com by Andrew Webster
The reveal came as SAG-AFTRA actors confirmed they were going on strike.

When asked about the proposal during the press conference, Crabtree-Ireland said that “This ‘groundbreaking’ AI proposal that they gave us yesterday, they proposed that our background performers should be able to be scanned, get one day’s pay, and their companies should own that scan, their image, their likeness and should be able to use it for the rest of eternity on any project they want, with no consent and no compensation. So if you think that’s a groundbreaking proposal, I suggest you think again.”

Commentary from Rick Seltzer re: “Public confidence in higher ed plunges — again” — from chronicle.com

Excerpt:

Only 36 percent of Americans say they have a great deal or quite a lot of confidence in higher education, according to a survey Gallup conducted in June. That’s down from 48 percent who said the same in 2018 and 57 percent in 2015.

It’s also broadly consistent with a March Wall Street Journal-NORC survey that found just 42 percent of respondents thought college was worth the cost because it improves career prospects.

Confidence waned among all major groups. Sharpest declines were among Republicans, those without a college degree, women, and the oldest respondents.

Rick links to Zachary’s article:

Public Trust in Higher Ed Has Plummeted. Yes, Again. — from chronicle.com by Zachary Schermele
Americans’ confidence in higher ed is continuing to shrivel — a troubling sign that could foreshadow further erosion of colleges’ enrollment, funding, and stature in the coming years.
.

Also relevant/see:

High confidence in higher education reaches new low — from highereddive.com by Natalie Schwartz

“YouTube tests AI-generated quizzes on educational videos” [Forristal] + numerous other items re: AI in education/HE/corporate training

On 07/13/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, assessment, change, colleges, community colleges, computer science, education, education technology, emerging technologies, experimentation, faculty, future, future of higher education, game-changing environment, generational differences, global / globalization, Google, higher education, human-computer interaction (HCI), instructional design, intelligent systems, intelligent tutoring, journalism, K-12 related, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, lifelong learning, platforms, productivity / tips and tricks, professional development, programming, research, science, student-related, teachers, teaching & learning, tools, trends, United States, universities, vendors, vision/possibilities, by Daniel Christian

YouTube tests AI-generated quizzes on educational videos — from techcrunch.com by Lauren Forristal

YouTube is experimenting with AI-generated quizzes on its mobile app for iOS and Android devices, which are designed to help viewers learn more about a subject featured in an educational video. The feature will also help the video-sharing platform get a better understanding of how well each video covers a certain topic.

Incorporating AI in Teaching: Practical Examples for Busy Instructors — from danielstanford.substack.com by Daniel Stanford; with thanks to Derek Bruff on LinkedIn for the resource

Since January 2023, I’ve talked with hundreds of instructors at dozens of institutions about how they might incorporate AI into their teaching. Through these conversations, I’ve noticed a few common issues:

Faculty and staff are overwhelmed and burned out. Even those on the cutting edge often feel they’re behind the curve.
It’s hard to know where to begin.
It can be difficult to find practical examples of AI use that are applicable across a variety of disciplines.

To help address these challenges, I’ve been working on a list of AI-infused learning activities that encourage experimentation in (relatively) small, manageable ways.

September 2023: The Secret Intelligent Beings on Campus — from stefanbauschard.substack.com by Stefan Bauschard
Many of your students this fall will be enhanced by artificial intelligence, even if they don’t look like actual cyborgs. Do you want all of them to be enhanced, or just the highest SES students?

How to report better on artificial intelligence — from cjr.org (Columbia Journalism Review) by Syash Kapoor, Hilke Schellmann, and Ari Sen

In the past few months we have been deluged with headlines about new AI tools and how much they are going to change society.

Some reporters have done amazing work holding the companies developing AI accountable, but many struggle to report on this new technology in a fair and accurate way.

We—an investigative reporter, a data journalist, and a computer scientist—have firsthand experience investigating AI. We’ve seen the tremendous potential these tools can have—but also their tremendous risks.

As their adoption grows, we believe that, soon enough, many reporters will encounter AI tools on their beat, so we wanted to put together a short guide to what we have learned.

.

DSC:
Something I created via Adobe Firefly (Beta version)

The 5 reasons L&D is going to embrace ChatGPT — from chieflearningoffice.com by Josh Bersin

Does this mean it will do away with the L&D job? Not at all — these tools give you superhuman powers to find content faster, put it in front of employees in a more useful way and more creatively craft character simulations, assessments, learning in the flow of work and more.

And it’s about time. We really haven’t had a massive innovation in L&D since the early days of the learning experience platform market, so we may be entering the most exciting era in a long time.

Let me give you the five most significant use cases I see. And more will come.

AI and Tech with Scenarios: ID Links 7/11/23 — from christytuckerlearning.com by Christy Tucker

As I read online, I bookmark resources I find interesting and useful. I share these links periodically here on my blog. This post includes links on using tech with scenarios: AI, xAPI, and VR. I’ll also share some other AI tools and links on usability, resume tips for teachers, visual language, and a scenario sample.

It’s only a matter of time before A.I. chatbots are teaching in primary schools — from cnbc.com by Mikaela Cohen

Key Points

Microsoft co-founder Bill Gates saying generative AI chatbots can teach kids to read in 18 months rather than years.
Artificial intelligence is beginning to prove that it can accelerate the impact teachers have on students and help solve a stubborn teacher shortage.
Chatbots backed by large language models can help students, from primary education to certification programs, self-guide through voluminous materials and tailor their education to specific learning styles [preferences].

The Rise of AI: New Rules for Super T Professionals and Next Steps for EdLeaders — from gettingsmart.com by Tom Vander Ark

Key Points

The rise of artificial intelligence, especially generative AI, boosts productivity in content creation–text, code, images and increasingly video.
Here are six preliminary conclusions about the nature of work and learning.

The Future Of Education: Embracing AI For Student Success — from forbes.com by Dr. Michael Horowitz

Unfortunately, too often attention is focused on the problems of AI—that it allows students to cheat and can undermine the value of what teachers bring to the learning equation. This viewpoint ignores the immense possibilities that AI can bring to education and across every industry.

The fact is that students have already embraced this new technology, which is neither a new story nor a surprising one in education. Leaders should accept this and understand that people, not robots, must ultimately create the path forward. It is only by deploying resources, training and policies at every level of our institutions that we can begin to realize the vast potential of what AI can offer.

AI Tools in Education: Doing Less While Learning More — from campustechnology.com by Mary Grush
A Q&A with Mark Frydenberg

Why Students & Teachers Should Get Excited about ChatGPT — from ivypanda.com with thanks to Ruth Kinloch for this resource

Excerpt re: Uses of ChatGPT for Teachers

Diverse assignments.
Individualized approach.
Interesting classes.
Debates.
Critical thinking.
Grammar and vocabulary.
Homework review.

SAIL: State of Research: AI & Education — from buttondown.email by George Siemens
Information re: current AI and Learning Labs, education updates, and technology

Why ethical AI requires a future-ready and inclusive education system — from weforum.org

A specter is haunting higher education — from aiandacademia.substack.com by Bryan Alexander
Fall semester after the generative AI revolution

In this post I’d like to explore that apocalyptic model. For reasons of space, I’ll leave off analyzing student cheating motivations or questioning the entire edifice of grade-based assessment. I’ll save potential solutions for another post.

Let’s dive into the practical aspects of teaching to see why Mollick and Bogost foresee such a dire semester ahead.

Items re: Code Interpreter

Code Interpreter becoming available for all ChatGPT Plus users over the next week. Really amazing for any data science use case: https://t.co/hpel8xKyEg pic.twitter.com/Fd3SnPvVmT

— Greg Brockman (@gdb) July 6, 2023

I put together an initial prompt to set up Code Interpreter to create useful data visualizations. It gives it some basic principles of good chart design & also reminds it that it can output many kinds of files.

It is a first draft, feel free to improve: https://t.co/m4yAdKROiJ pic.twitter.com/r5A7PznqSC

— Ethan Mollick (@emollick) July 10, 2023

What AI can do with a toolbox… Getting started with Code Interpreter — from oneusefulthing.org by Ethan Mollick
Democratizing data analysis with AI

Code Interpreter continues OpenAI’s long tradition of giving terrible names to things, because it might be most useful for those who do not code at all. It essentially allows the most advanced AI available, GPT-4, to upload and download information, and to write and execute programs for you in a persistent workspace. That allows the AI to do all sorts of things it couldn’t do before, and be useful in ways that were impossible with ChatGPT.

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BREAKING: Code Interpreter is FINALLY rolling out to all ChatGPT Plus users.

It’s the most powerful feature OpenAI has released since GPT-4. It makes everyone a data analyst.

Here are 15 mind-blowing use cases of Code Interpreter: pic.twitter.com/qX0txynENS

— Aakash Gupta ? Product Growth Guy (@aakashg0) July 7, 2023

Legal items

2 authors say OpenAI ‘ingested’ their books to train ChatGPT. Now they’re suing, and a ‘wave’ of similar court cases may follow. — from businessinsider.com by Gabriel Rivera
Authors Are Suing OpenAI & Meta For Copyright Infringement — from theneurondaily.com by Noah Edelman

MISC items

America’s first law regulating AI bias in hiring takes effect this week — from downes.ca by Stephen Downes
Eric Schmidt: This is how AI will transform the way science gets done — from technologyreview.com by Eric Schmidt
Science is about to become much more exciting—and that will affect us all, argues Google’s former CEO.
Microsoft unveils first professional certificate for generative AI skills — from zdnet.com/ by Lance Whitney
With the new AI Skills Initiative, people can take free online training via LinkedIn to learn concepts of AI good toward a Career Essentials certificate.
What is Claude 2? How to access this ChatGPT competitor. — from mashable.com by Cecily Mauran
It’s a decent alternative, and it’s easy to use.
Claude 2 — from anthropic.com

AI for Education Webinars [Barrett & Co.] plus other items re: AI in our learning ecosystems

On 07/07/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, Asia, assessment, Australia, bots, change, cloud-based computing / apps / other cloud-related, colleges, community colleges, content development, aggregation, repositories, digital learning, digital textbooks, education, education reform, education technology, educational games / serious games, emerging technologies, ethics, experimentation, faculty, future, future of higher education, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, library / librarians, morals/values, multimedia, new media literacies, online media, personalized/customized learning, platforms, productivity / tips and tricks, skills, society, staying relevant, student teaching/teacher education, student-related, teachers, teaching & learning, textbooks, the downsides of how people use tech, tools, United States, universities, vendors, vision/possibilities, youth, by Daniel Christian

AI for Education Webinars — from youtube.com by Tom Barrett and others

Post-AI Assessment Design — from drphilippahardman.substack.com by Dr. Philippa Hardman
A simple, three-step guide on how to design assessments in a post-AI world

Excerpt:

Step 1: Write Inquiry-Based Objectives
Inquiry-based objectives focus not just on the acquisition of knowledge but also on the development of skills and behaviours, like critical thinking, problem-solving, collaboration and research skills.

They do this by requiring learners not just to recall or “describe back” concepts that are delivered via text, lecture or video. Instead, inquiry-based objectives require learners to construct their own understanding through the process of investigation, analysis and questioning.

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Massive Disruption Now: What AI Means for Students, Educators, Administrators and Accreditation Boards
— from stefanbauschard.substack.com by Stefan Bauschard; via Will Richardson on LinkedIn
The choices many colleges and universities make regarding AI over the next 9 months will determine if they survive. The same may be true for schools.

Excerpts:

Just for a minute, consider how education would change if the following were true –

AIs “hallucinated” less than humans
AIs could write in our own voices
AIs could accurately do math
AIs understood the unique academic (and eventually developmental) needs of each student and adapt instruction to that student
AIs could teach anything any student wanted or need to know any time of day or night
AIs could do this at a fraction of the cost of a human teacher or professor

Fall 2026 is three years away. Do you have a three year plan? Perhaps you should scrap it and write a new one (or at least realize that your current one cannot survive). If you run an academic institution in 2026 the same way you ran it in 2022, you might as well run it like you would have in 1920. If you run an academic institution in 2030 (or any year when AI surpasses human intelligence) the same way you ran it in 2022, you might as well run it like you would have in 1820. AIs will become more intelligent than us, perhaps in 10-20 years (LeCun), though there could be unanticipated breakthroughs that lower the time frame to a few years or less (Benjio); it’s just a question of when, not “if.”

On one creative use of AI — from aiandacademia.substack.com by Bryan Alexander
A new practice with pedagogical possibilities

Excerpt:

Look at those material items again. The voiceover? Written by an AI and turned into audio by software. The images? Created by human prompts in Midjourney. The music is, I think, human created. And the idea came from a discussion between a human and an AI?
…
How might this play out in a college or university class?

Imagine assignments which require students to craft such a video. Start from film, media studies, or computer science classes. Students work through a process:

Generative Textbooks — from opencontent.org by David Wiley

Excerpt (emphasis DSC):

I continue to try to imagine ways generative AI can impact teaching and learning, including learning materials like textbooks. Earlier this week I started wondering – what if, in the future, educators didn’t write textbooks at all? What if, instead, we only wrote structured collections of highly crafted prompts? Instead of reading a static textbook in a linear fashion, the learner would use the prompts to interact with a large language model. These prompts could help learners ask for things like:

overviews and in-depth explanations of specific topics in a specific sequence,
examples that the learner finds personally relevant and interesting,
interactive practice – including open-ended exercises – with immediate, corrective feedback,
the structure of the relationships between ideas and concepts,
etc.

Also relevant/see:

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Generating The Future of Education with AI — from aixeducation.com

Designed for K12 and Higher-Ed Educators & Administrators, this conference aims to provide a platform for educators, administrators, AI experts, students, parents, and EdTech leaders to discuss the impact of AI on education, address current challenges and potentials, share their perspectives and experiences, and explore innovative solutions. A special emphasis will be placed on including students’ voices in the conversation, highlighting their unique experiences and insights as the primary beneficiaries of these educational transformations.

How Teachers Are Using ChatGPT in Class — from edweek.org by Larry Ferlazzo

Excerpt:

The use of generative AI in K-12 settings is complex and still in its infancy. We need to consider how these tools can enhance student creativity, improve writing skills, and be transparent with students about how generative AI works so they can better understand its limitations. As with any new tech, our students will be exposed to it, and it is our task as educators to help them navigate this new territory as well-informed, curious explorers.

Japan emphasizes students’ comprehension of AI in new school guidelines — from japantimes.co.jp by Karin Kaneko; via The Rundown

Excerpt:

The education ministry has emphasized the need for students to understand artificial intelligence in new guidelines released Tuesday, setting out how generative AI can be integrated into schools and the precautions needed to address associated risks.

Students should comprehend the characteristics of AI, including its advantages and disadvantages, with the latter including personal information leakages and copyright infringement, before they use it, according to the guidelines. They explicitly state that passing off reports, essays or any other works produced by AI as one’s own is inappropriate.

AI’s Teachable Moment: How ChatGPT Is Transforming the Classroom — from cnet.com by Mark Serrels
Teachers and students are already harnessing the power of AI, with an eye toward the future.

Excerpt:

Thanks to the rapid development of artificial intelligence tools like Dall-E and ChatGPT, my brother-in-law has been wrestling with low-level anxiety: Is it a good idea to steer his son down this path when AI threatens to devalue the work of creatives? Will there be a job for someone with that skill set in 10 years? He’s unsure. But instead of burying his head in the sand, he’s doing what any tech-savvy parent would do: He’s teaching his son how to use AI.

In recent months the family has picked up subscriptions to AI services. Now, in addition to drawing and sculpting and making movies and video games, my nephew is creating the monsters of his dreams with Midjourney, a generative AI tool that uses language prompts to produce images.

The AI Dictionary for Educators — from blog.profjim.com

To bridge this knowledge gap, I decided to make a quick little dictionary of AI terms specifically tailored for educators worldwide. Initially created for my own benefit, I’ve reworked my own AI Dictionary for Educators and expanded it to help my fellow teachers embrace the advancements AI brings to education.

7 Strategies to Prepare Educators to Teach With AI — from edweek.org by Lauraine Langreo; NOTE: Behind paywall

Here’s why K–12 teachers are quitting [McKinsey] + several other items re: teachers/K12

On 07/06/2023, in career development, change, education, education reform, instructional design, K-12 related, learning ecosystem, parents/guardians, participation, teachers, trends, United States, workplace, by Daniel Christian

Here’s why K–12 teachers are quitting — from mckinsey.com

Excerpt:

July 1, 2023 School’s out for summer, but will educators return to the classroom in the fall? Nearly a third of US K–12 educators—or roughly 900,000 teachers—said in a recent McKinsey survey they are thinking of leaving their jobs before the next school year. “The longer [talent shortages] go unaddressed, the more potential damage they could cause to students and the future of the nation,” write partner Jake Bryant and coauthors. “By tailoring solutions that address the root causes of attrition, leaders could potentially build more fulfilling and equitable environments that better serve not only educators but also students and society at large.” Check out these insights for more on the factors that motivate educators to stay or leave, and dive into other vital issues impacting American public education.

Teachers Leaving the Classroom: An EdSurge Summer Reading List — from edsurge.com by Rebecca Koenig

Excerpt:

In fact, our top pieces all address the reality that plenty of educators are thinking of leaving the classroom behind. A National Education Association survey from 2022 found that more than half of educators were thinking of departing the profession earlier than planned.

As EdSurge senior reporter Emily Tate Sullivan wrote earlier this year, “Most educators have not left, and many never will. But some are following through; they’re walking out of their classrooms and away from the careers they thought they’d have for life.”

What Should You Learn for an Instructional Design Career? — from theelearningcoach.com by Connie Malamed

Excerpt:

Instructional design is a multidisciplinary field. This explains why it is often overwhelming when you want to transition into the career. There are so many shiny objects to attract your attention along the way. Do you love visual design? We’ve got it. Are you fascinated by the latest technologies? We’ve got that too. Perhaps you’re interested in data and analytics? We’ve got a place for you.

No wonder one of the most common questions I’m asked during coaching calls is, “Where do I start?” If you need help, here is the path I recommend regarding what to learn for a career in instructional design. To reduce stress and confusion, learn and build skills in one area at a time.

How to Transition From Teacher to Instructional Designer [2023 Guide] — from devlinpeck.com by Devlin Peck

Opinion: We must remove barriers that keep teachers away from our profession and encourage a diverse workforce — from hechingerreport.org by Sharif El-Mekki
Keeping teachers of color in classrooms requires a hard look at the state and district policies that work against them

Schools can’t afford to lose teachers of color. And with public schools struggling to fill teacher vacancies with qualified educators, district and school leaders can’t afford to lose any more teachers,period.

Teachers and Families Are More Divided Than Ever — and Students Are Losing Out — from edsurge.com by Alicia Simba

What I’ve found is that inviting families in as collaborators has not only strengthened my students’ performance in school, but it has strengthened the bonds I have with their families, which is important, especially when those relationships are put under pressure in times of conflict. And conflict does inevitably come.

The problems facing schools are complex ones without easy answers, so we will disagree. But parents and families need to work with each other, not against each other, in order to jointly create the best schools for all of our kids.

Survey: Nearly half of parents looking to switch their kids’ schools — from reimaginedonline.org

Excerpt:

Nearly half of all parents are seeking new schools for their children in the 2023-24 school year. The data comes from a new survey by National School Choice Week, which found that 45.9 percent of parents want to enroll their child in a different learning environment this fall.

Of those parents, about 17 percent are still considering their options; 13 percent enrolled their student in a new school; 8.4 percent applied, and 7.5 percent chose homeschooling. That leaves 54 percent of parents keeping their child in their current school.

Supreme Court makes its historic ruling in affirmative action cases [Sanchez]

On 06/29/2023, in Bias | Diversity Equity & Inclusion (DE&I), business side of he, career development, change, changing business models, colleges, community colleges, higher education, learning ecosystem, legislatures / government / legal, participation, policy, society, sociology, United States, universities, by Daniel Christian

Supreme Court makes its historic ruling in affirmative action cases — from hechingerreport.org by Olivia Sanchez
Court rules that these policies violate the equal protection clause of the 14th amendment

Ever since the Supreme Court announced last year that it would rule on two cases involving affirmative action in college admissions, the world of higher education has been anxiously awaiting a decision. Most experts predicted the court would eventually forbid the use of race as a factor in admissions decisions, and colleges and advocates have been scrambling to prepare for that new world.

On Thursday, the Supreme Court met those expectations, ruling that the consideration of race in college admissions is unconstitutional.

Supreme Court rules against race-conscious admissions at Harvard and UNC-Chapel Hill — from highereddive.com by Jeremy Bauer-Wolf
The opinion issued Thursday was unsurprising for college access advocates who had nonetheless urged the high court to keep with decades of precedent.

The U.S. Supreme Court ruled Thursday that race-conscious admissions practices at Harvard University and the University of North Carolina at Chapel Hill are unconstitutional, shattering decades of legal precedent and upending the recruitment and enrollment landscape for years to come.

Supreme Court rejects race-based affirmative action in college admissions — from washingtonpost.com by Robert Barnes

The Supreme Court on Thursday held that race-conscious admissions programs at Harvard and the University of North Carolina violate the Constitution’s guarantee of equal protection, a historic ruling that rolls back decades of precedent and will force a dramatic change in how the nation’s private and public universities select their students.

U.S. Supreme Court Strikes Down Race-Conscious Admissions Nationwide — from chronicle.com by Andy Thomason and Sarah Brown

The U.S. Supreme Court on Thursday struck down colleges’ use of race-conscious admissions nationwide, ruling in a pair of closely watched cases that the practice is racially discriminatory.

Writing for the court’s majority, Chief Justice John G. Roberts Jr. said that policies that claim to consider an applicant’s race as one factor among many are in fact violating the equal-protection clause of the 14th Amendment to the U.S. Constitution.

Coursera’s Global Skills Report for 2023 — from coursera.org
Benchmark talent and transform your workforce with skill development and career readiness insights drawn from 124M+ learners.

Excerpt:

Uncover global skill trends
See how millions of registered learners in 100 countries are strengthening critical business, technology, and data science skills.

The Cambrian Explosion of AI Edtech Is Here [Sarlin, Morin, & Kornell] + several other items re: using AI within our learning ecosystems

On 06/26/2023, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, change, colleges, community colleges, computer science, content development, aggregation, repositories, digital learning, education technology, emerging technologies, experimentation, faculty, future, game-changing environment, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, lifelong learning, online learning, open courseware and systems, personalized/customized learning, platforms, teachers, teaching & learning, tools, training / L&D, universities, vendors, by Daniel Christian

The Cambrian Explosion of AI Edtech Is Here — from edtechinsiders.substack.com by Alex Sarlin, Sarah Morin, and Ben Kornell

Excerpt:

Our AI in Edtech Takeaways

After chronicling 160+ AI tools (which is surely only a small fraction of the total), we’re seeing a few clear patterns among the tools that have come out so far- here are 10 categories that are jumping out!

Virtual Teaching Assistants:
Virtual Tutors:
AI-Powered Study Tools:
Educational Content Creation:
Educational Search:
Auto-generated Learning Paths:
AI-Powered Research:
Speak to Characters:
Grammar and Writing:
AI Cheating Detection:

Ready or not, AI is here — from the chronicle.com’s The Edge, by Goldie Blumenstyk

Excerpt:

“I don’t usually get worked up about announcements but I see promise in JFF’s plans for a new Center for Artificial Intelligence & the Future of Work, in no small part because the organization bridges higher ed, K-12 education, employers, and policymakers.”

Goldie Blumenstyk

Goldie’s article links to:

Jobs for the Future Launches New Center for Artificial Intelligence & the Future of Work — from archive.jff.org
Center launches as JFF releases preliminary survey data which finds a majority of workers feel they need new skills and training to prepare for AI’s future impact.

Excerpt:

BOSTON June 14, 2023 —Jobs for the Future (JFF), a national nonprofit that drives transformation in the U.S. education and workforce systems, today announced the launch of its new Center for Artificial Intelligence &the Future of Work. This center will play an integral role in JFF’s mission and newly announced 10-year North Star goal to help 75 million people facing systemic barriers to advancement work in quality jobs. As AI’s explosive growth reshapes every aspect of how we learn, work, and live, this new center will serve as a nexus of collaboration among stakeholders from every part of the education-to-career ecosystem to explore the most promising opportunities—and profound challenges—of AI’s potential to advance an accessible and equitable future of learning and work.

OpenAI Considers ‘App Store’ For ChatGPT — from searchenginejournal.com by; with thanks to Barsee at AI Valley for this resource
OpenAI explores launching an ‘app store’ for AI models, potentially challenging current partners and expanding customer reach.

Highlights:

OpenAI considers launching an ‘app store’ for customized AI chatbots.
This move could create competition with current partners and extend OpenAI’s customer reach.
Early interest from companies like Aquant and Khan Academy shows potential, but product development and market positioning challenges remain.

The Rise of AI: New Rules for Super T Professionals and Next Steps for EdLeaders — from gettingsmart.com by Tom Vander Ark

Key Points

The rise of artificial intelligence, especially generative AI, boosts productivity in content creation–text, code, images and increasingly video.
Here are six preliminary conclusions about the nature of work and learning.

Wonder Tools: AI to try — from wondertools.substack.com by Jeremy Caplan
9 playful little ways to explore AI

Excerpt:

Create a personalized children’s story ? | Schrodi
Collaborate with AI on a free customized, illustrated story for someone special. Give your story’s hero a name, pick a genre (e.g. comedy, thriller), choose an illustration style (e.g. watercolor, 3d animation) and provide a prompt to shape a simple story. You can even suggest a moral. After a minute, download a full-color PDF to share. Or print it and read your new mini picture book aloud.
Generate a quiz ? | Piggy
Put in a link, a topic, or some text and you’ll get a quiz you can share, featuring multiple-choice or true-false questions. Example: try this quick entrepreneurship quiz Piggy generated for me.

3 Questions for Coursera About Generative AI in Education — from insidehighered.com by Joshua Kim
How this tech will change the learning experience, course creation and more.

Excerpt (emphasis DSC):

Q: How will generative AI impact teaching and learning in the near and long term?

Baker Stein: One-on-one tutoring at scale is finally being unlocked for learners around the world. This type of quality education is no longer only available to students with the means to hire a private tutor. I’m also particularly excited to see how educators make use of generative AI tools to create courses much faster and likely at a higher quality with increased personalization for each student or even by experimenting with new technologies like extended reality. Professors will be able to put their time toward high-impact activities like mentoring, researching and office hours instead of tedious course-creation tasks. This helps open up the capacity for educators to iterate on their courses faster to keep pace with industry and global changes that may impact their field of study.

Another important use case is how generative AI can serve as a great equalizer for students when it comes to writing, especially second language learners.

As AI Spreads, Experts Predict the Best and Worst Changes in Digital Life by 2035 — from pewresearch.org by Janna Anderson and Lee Rainie
They have deep concerns about people’s and society’s overall well-being. But they also expect great benefits in health care, scientific advances and education

Table of Contents

“AI-driven Legal Apprenticeships” [Kubicki] plus other AI & legaltech related postings

On 06/26/2023, in 21st century, 24x7x365 access, Access to Justice (A2J), Alternatives, Artificial Intelligence/Agents/LLMs/and Related, business, change, changing business models, cloud-based computing / apps / other cloud-related, collaboration, corporate / business world, dangers of the status quo, Daniel S. Christian, future, game-changing environment, generational differences, ideas, instructional design, IT in HE, law schools, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, Legal operations, legal reform, legal technologies, legislatures / government / legal, lifelong learning, online tutoring, personalized/customized learning, society, the downsides of how people use tech, tools, trends, United States, vendors, Virtual courts and law firms, vision/possibilities, web-based collaboration, workplace, by Daniel Christian

AI-driven Legal Apprenticeships — from thebrainyacts.beehiiv.com by Josh Kubicki

Excerpts:

My hypothesis and research suggest that as bar associations and the ABA begin to recognize the on-going systemic issues of high-cost legal education, growing legal deserts (where no lawyer serves a given population), on-going and pervasive access to justice issues, and a public that is already weary of the legal system – alternative options that are already in play might become more supported.

What might that look like?

The combination of AI-assisted education with traditional legal apprenticeships has the potential to create a rich, flexible, and engaging learning environment. Here are three scenarios that might illustrate what such a combination could look like:

- Scenario One – Personalized Curriculum Development
- Scenario Two – On-Demand Tutoring and Mentoring
- Scenario Three – AI-assisted Peer Networks and Collaborative Learning:

Why Companies Are Vastly Underprepared For The Risks Posed By AI — from forbes.com by
Accuracy, bias, security, culture, and trust are some of the risks involved

Excerpt:

We know that there are challenges – a threat to human jobs, the potential implications for cyber security and data theft, or perhaps even an existential threat to humanity as a whole. But we certainly don’t yet have a full understanding of all of the implications. In fact, a World Economic Forum report recently stated that organizations “may currently underappreciate AI-related risks,” with just four percent of leaders considering the risk level to be “significant.”

A survey carried out by analysts Baker McKenzie concluded that many C-level leaders are over-confident in their assessments of organizational preparedness in relation to AI. In particular, it exposed concerns about the potential implications of biased data when used to make HR decisions.

AI & lawyer training: How law firms can embrace hybrid learning & development — thomsonreuters.com
A big part of law firms’ successful adaptation to the increased use of ChatGPT and other forms of generative AI, may depend upon how firmly they embrace online learning & development tools designed for hybrid work environments

Excerpt:

As law firms move forward in using of advanced artificial intelligence such as ChatGPT and other forms of generative AI, their success may hinge upon how they approach lawyer training and development and what tools they enlist for the process.

One of the tools that some law firms use to deliver a new, multi-modal learning environment is an online, video-based learning platform, Hotshot, that delivers more than 250 on-demand courses on corporate, litigation, and business skills.

Ian Nelson, co-founder of Hotshot, says he has seen a dramatic change in how law firms are approaching learning & development (L&D) in the decade or so that Hotshot has been active. He believes the biggest change is that 10 years ago, firms hadn’t yet embraced the need to focus on training and development.

From DSC:
Heads up law schools. Are you seeing/hearing this!?

Are we moving more towards a lifelong learning model within law schools?
If not, shouldn’t we be doing that?
Are LLM programs expanding quickly enough? Is more needed?

Legal tech and innovation: 3 ways AI supports the evolution of legal ops — from lexology.com

Excerpts:

Simplified legal spend analysis
Faster contract review
Streamlined document management

Learning Ecosystems

Post-prison job training [Sanchez & García Mathewson]

Supreme Court makes its historic ruling in affirmative action cases [Sanchez]

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DSC: Something I created via Adobe Firefly (Beta version)

Items re: Code Interpreter

Legal items

MISC items

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DSC:
Something I created via Adobe Firefly (Beta version)