Brainyacts #57: Education Tech— from thebrainyacts.beehiiv.com by Josh Kubicki

Excerpts:

Let’s look at some ideas of how law schools could use AI tools like Khanmigo or ChatGPT to support lectures, assignments, and discussions, or use plagiarism detection software to maintain academic integrity.

  1. Personalized learning
  2. Virtual tutors and coaches
  3. Interactive simulations
  4. Enhanced course materials
  5. Collaborative learning
  6. Automated assessment and feedback
  7. Continuous improvement
  8. Accessibility and inclusivity

AI Will Democratize Learning — from td.org by Julia Stiglitz and Sourabh Bajaj

Excerpts:

In particular, we’re betting on four trends for AI and L&D.

  1. Rapid content production
  2. Personalized content
  3. Detailed, continuous feedback
  4. Learner-driven exploration

In a world where only 7 percent of the global population has a college degree, and as many as three quarters of workers don’t feel equipped to learn the digital skills their employers will need in the future, this is the conversation people need to have.

Taken together, these trends will change the cost structure of education and give learning practitioners new superpowers. Learners of all backgrounds will be able to access quality content on any topic and receive the ongoing support they need to master new skills. Even small L&D teams will be able to create programs that have both deep and broad impact across their organizations.

The Next Evolution in Educational Technologies and Assisted Learning Enablement — from educationoneducation.substack.com by Jeannine Proctor

Excerpt:

Generative AI is set to play a pivotal role in the transformation of educational technologies and assisted learning. Its ability to personalize learning experiences, power intelligent tutoring systems, generate engaging content, facilitate collaboration, and assist in assessment and grading will significantly benefit both students and educators.

How Generative AI Will Enable Personalized Learning Experiences — from campustechnology.com by Rhea Kelly

Excerpt:

With today’s advancements in generative AI, that vision of personalized learning may not be far off from reality. We spoke with Dr. Kim Round, associate dean of the Western Governors University School of Education, about the potential of technologies like ChatGPT for learning, the need for AI literacy skills, why learning experience designers have a leg up on AI prompt engineering, and more. And get ready for more Star Trek references, because the parallels between AI and Sci Fi are futile to resist.

The Promise of Personalized Learning Never Delivered. Today’s AI Is Different — from the74million.org by John Bailey; with thanks to GSV for this resource

Excerpts:

There are four reasons why this generation of AI tools is likely to succeed where other technologies have failed:

    1. Smarter capabilities
    2. Reasoning engines
    3. Language is the interface
    4. Unprecedented scale

Latest NVIDIA Graphics Research Advances Generative AI’s Next Frontier — from blogs.nvidia.com by Aaron Lefohn
NVIDIA will present around 20 research papers at SIGGRAPH, the year’s most important computer graphics conference.

Excerpt:

NVIDIA today introduced a wave of cutting-edge AI research that will enable developers and artists to bring their ideas to life — whether still or moving, in 2D or 3D, hyperrealistic or fantastical.

Around 20 NVIDIA Research papers advancing generative AI and neural graphics — including collaborations with over a dozen universities in the U.S., Europe and Israel — are headed to SIGGRAPH 2023, the premier computer graphics conference, taking place Aug. 6-10 in Los Angeles.

The papers include generative AI models that turn text into personalized images; inverse rendering tools that transform still images into 3D objects; neural physics models that use AI to simulate complex 3D elements with stunning realism; and neural rendering models that unlock new capabilities for generating real-time, AI-powered visual details.

 

Also relevant to the item from Nvidia (above), see:

Unreal Engine’s Metahuman Creator — with thanks to Mr. Steven Chevalia for this resource

Excerpt:

MetaHuman is a complete framework that gives any creator the power to use highly realistic human characters in any way imaginable.

It includes MetaHuman Creator, a free cloud-based app that enables you to create fully rigged photorealistic digital humans in minutes.

From Unreal Engine -- Dozens of ready-made MetaHumans are at your fingertips.

 

From DSC:
As Rob Toews points out in his recent article out at Forbes.com, we had better hope that the Taiwan Semiconductor Manufacturing Company (TSMC) builds out the capacity to make chips in various countries. Why? Because:

The following statement is utterly ludicrous. It is also true. The world’s most important advanced technology is nearly all produced in a single facility.

What’s more, that facility is located in one of the most geopolitically fraught areas on earth—an area in which many analysts believe that war is inevitable within the decade.

The future of artificial intelligence hangs in the balance.

The Taiwan Semiconductor Manufacturing Company (TSMC) makes ***all of the world’s advanced AI chips.*** Most importantly, this means Nvidia’s GPUs; it also includes the AI chips from Google, AMD, Amazon, Microsoft, Cerebras, SambaNova, Untether and every other credible competitor.

— from The Geopolitics Of AI Chips Will Define The Future Of AI
out at Forbes.com by Rob Toews

Little surprise, then, that Time Magazine described TSMC
as “the world’s most important company that you’ve
probably never heard of.”

 


From DSC:
If that facility was actually the only one and something happened to it, look at how many things would be impacted as of early May 2023!


 

Examples of generative AI models

 

Upskilling the top priority for L&D leaders, LinkedIn report finds — from hcamag.com by Ksenia Stepanova; with thanks to GSV for this resource
L&D is becoming critical to business strategy – but are leaders keeping up? LinkedIn reveals its latest insights

Excerpt:

Learning and development (L&D) has taken centre stage in recent years, and has become vital to business strategy across the globe. In Singapore, upskilling employees has become the number one priority for L&D professionals in 2023, according to LinkedIn’s 2023 Workplace Learning Report.

 

Send in another victim of industrial disease — from jordanfurlong.substack.com
The legal profession is drowning in psychological and emotional distress. One change, right now, could help save the next generation of lawyers from the flood.

Excerpt:

But don’t make the mistake of thinking this is a problem just at Paul Hastings or in the AmLaw 100. It’s everywhere. Mental distress and emotional anguish are endemic throughout the legal profession, driven by pathologies inextricably intertwined with our malignant cultural impulses and exploitative business models. And it’s getting much worse, very fast.

Take a deep breath, and then work your way through this list of findings from seven separate reports into the legal profession’s state of mental and emotional sickness:

  • Massachusetts: 77% of lawyers reported burnout from their work; almost half thought about leaving their job. 40% considered leaving the profession entirely due to stress. 7% experienced suicide ideation in the weeks before the survey.
  • California and DC: Lawyers were twice as likely as the general population to experience thoughts of suicide, and those with high stress were 22 times more likely to have such thoughts.
  • Midsized law firms: Nearly 3/4 of lawyers, paralegals and administrative professionals at midsized law firms report feeling stress, burnout, or being overwhelmed in the past year.
  • Canada: 59% of legal professionals report psychological distress. 56% report burnout. 24% say they’ve experienced suicidal thoughts at least once since starting practice.
  • UK: 62% of lawyers have experienced burnout as a result of their work in the last year. 57% put “an unmanageable caseload” at the top of their list of stressors at work, followed by a lack of work/life balance (42%).
  • In-house counsel: Legal department lawyers face burnout and attrition internally, and supply chain issues and high inflation externally. “The environment legal departments are operating in now is an extremely challenging one.”
  • Law students: Over 75% reported increased anxiety because of law school-related issues; over 50% reported experiencing depression. A majority reported experiencing anxiety (77%), disrupted sleep (71%), and depression (51%).

Every one of the percentages laid out above is higher for new lawyers, higher for women, higher for visible minorities, and higher for members of the LGBTQ+ community. And all but one of these reports were released just in the first two months of 2023.


From DSC:
One of the enormous surprises that I learned about while working at a law school (from 2018-2021) is the state of mental health within the legal industry. It’s not good. Beware!

Students in college — or to anyone who is thinking about entering law school and then practicing some area of law — get educated on things. Talk to lawyers of all kinds — especially in the area(s) that you are thinking of going into.

Then go forward into your decision with your eyes wide open. Know that you will need to put up some serious boundaries; if you don’t do that, you too may suffer the consequences that many lawyers have had to deal with.

I caught up with an old college friend of mine a year or so ago. He was absolutely exhausted. He was emotionally at the end of his rope. He was the owner of his own law firm and was working non-stop. He didn’t want to disappoint his clients, so he kept saying yes to things…to almost everything in fact. He later got out of owning his own firm — thank God — and went to work for an insurance company.

Furlong: Law school curricula and bar admission programs in every jurisdiction should be upgraded, starting today, to include significant instruction to aspiring lawyers about the deadly serious threats to their lives and health posed by choosing a legal career.

I just want to pass this along because I don’t think many younger students realize the state of mental health and stress within the legal field. And while you’re reflecting on that, you should also pulse-check how AI is impacting the legal field. Along these lines — and also from Jordan Furlong — see:

 

Accessibility Do’s and Don’ts for Website Navigation — from boia.org

Excerpt:

If people can’t navigate your website, they can’t use it — and you miss an opportunity to connect with your audience.

Navigation controls can present a significant barrier to people with disabilities, making it difficult for them to find and interact with the content they need.

The Web Content Accessibility Guidelines (WCAG) includes a list of success criteria to ensure that navigation controls are operable (they don’t require interactions that a user can’t perform). These criteria are put in place to assist users with a wide variety of abilities, including individuals who use assistive technologies (AT).

If you’re new to web accessibility, WCAG’s requirements may seem overwhelming. Fortunately, they’re based on simple principles — and by understanding a few basic concepts, you can avoid common mistakes.

Also relevant/see:

Assistive Technology: What’s an “Alternative Input Device?” — from boia.org

Examples:

  • Eye-Tracking Systems
  • Sip-and-Puff Systems
  • Head Mouse
  • Modified Keyboards
  • Joysticks
 

Work Shift: How AI Might Upend Pay — from bloomberg.com by Jo Constantz

Excerpt:

This all means that a time may be coming when companies need to compensate star employees for their input to AI tools rather than their just their output, which may not ultimately look much different from their AI-assisted colleagues.

“It wouldn’t be far-fetched for them to put even more of a premium on those people because now that kind of skill gets amplified and multiplied throughout the organization,” said Erik Brynjolfsson, a Stanford professor and one of the study’s authors. “Now that top worker could change the whole organization.”

Of course, there’s a risk that companies won’t heed that advice. If AI levels performance, some executives may flatten the pay scale accordingly. Businesses would then potentially save on costs — but they would also risk losing their top performers, who wouldn’t be properly compensated for the true value of their contributions under this system.


US Supreme Court rejects computer scientist’s lawsuit over AI-generated inventions — from reuters.com by Blake Brittain

Excerpt:

WASHINGTON, April 24 – The U.S. Supreme Court on Monday declined to hear a challenge by computer scientist Stephen Thaler to the U.S. Patent and Trademark Office’s refusal to issue patents for inventions his artificial intelligence system created.

The justices turned away Thaler’s appeal of a lower court’s ruling that patents can be issued only to human inventors and that his AI system could not be considered the legal creator of two inventions that he has said it generated.


Deep learning pioneer Geoffrey Hinton has quit Google — from technologyreview.com by Will Douglas Heaven
Hinton will be speaking at EmTech Digital on Wednesday.

Excerpt:

Geoffrey Hinton, a VP and engineering fellow at Google and a pioneer of deep learning who developed some of the most important techniques at the heart of modern AI, is leaving the company after 10 years, the New York Times reported today.

According to the Times, Hinton says he has new fears about the technology he helped usher in and wants to speak openly about them, and that a part of him now regrets his life’s work.

***


What Is Agent Assist? — from blogs.nvidia.com
Agent assist technology uses AI and machine learning to provide facts and make real-time suggestions that help human agents across retail, telecom and other industries conduct conversations with customers.

Excerpt:

Agent assist technology uses AI and machine learning to provide facts and make real-time suggestions that help human agents across telecom, retail and other industries conduct conversations with customers.

It can integrate with contact centers’ existing applications, provide faster onboarding for agents, improve the accuracy and efficiency of their responses, and increase customer satisfaction and loyalty.

From DSC:
Is this type of thing going to provide a learning assistant/agent as well?


A chatbot that asks questions could help you spot when it makes no sense — from technologyreview.com by Melissa Heikkilä
Engaging our critical thinking is one way to stop getting fooled by lying AI.

Excerpt:

AI chatbots like ChatGPT, Bing, and Bard are excellent at crafting sentences that sound like human writing. But they often present falsehoods as facts and have inconsistent logic, and that can be hard to spot.

One way around this problem, a new study suggests, is to change the way the AI presents information. Getting users to engage more actively with the chatbot’s statements might help them think more critically about that content.


Stability AI releases DeepFloyd IF, a powerful text-to-image model that can smartly integrate text into images — from stability.ai

Stability AI releases DeepFloyd IF, a powerful text-to-image model that can smartly integrate text into images


New AI Powered Denoise in PhotoShop — from jeadigitalmedia.org

In the most recent update, Adobe is now using AI to Denoise, Enhance and create Super Resolution or 2x the file size of the original photo. Click here to read Adobe’s post and below are photos of how I used the new AI Denoise on a photo. The big trick is that photos have to be shot in RAW.


 

 
 

PricewaterhouseCoopers to Pour $1 Billion Into Generative AI — from wsj.com by Angus Loten
Multiyear investment in U.S. business includes accessing ChatGPT maker OpenAI’s language model, training staff in AI capabilities

Excerpt:

PricewaterhouseCoopers LLP plans to invest $1 billion in generative artificial intelligence technology in its U.S. operations over the next three years, working with Microsoft Corp. and ChatGPT-maker OpenAI to automate aspects of its tax, audit and consulting services.

The accounting and consulting giant said the multiyear investment, announced Wednesday, includes funding to recruit more AI workers and train existing staff in AI capabilities, while targeting AI software makers for potential acquisitions.

For PwC, the goal isn’t only to develop and embed generative AI into its own technology stack and client-services platforms, but also advising other companies on how best to use generative AI, while helping them build those tools, said Mohamed Kande, PwC’s vice chair and co-leader of U.S. consulting solutions and global advisory leader.

 

EdTech Is Going Crazy For AI — from joshbersin.com by Josh Bersin

Excerpts:

This week I spent a few days at the ASU/GSV conference and ran into 7,000 educators, entrepreneurs, and corporate training people who had gone CRAZY for AI.

No, I’m not kidding. This community, which makes up people like training managers, community college leaders, educators, and policymakers is absolutely freaked out about ChatGPT, Large Language Models, and all sorts of issues with AI. Now don’t get me wrong: I’m a huge fan of this. But the frenzy is unprecedented: this is bigger than the excitement at the launch of the i-Phone.

Second, the L&D market is about to get disrupted like never before. I had two interactive sessions with about 200 L&D leaders and I essentially heard the same thing over and over. What is going to happen to our jobs when these Generative AI tools start automatically building content, assessments, teaching guides, rubrics, videos, and simulations in seconds?

The answer is pretty clear: you’re going to get disrupted. I’m not saying that L&D teams need to worry about their careers, but it’s very clear to me they’re going to have to swim upstream in a big hurry. As with all new technologies, it’s time for learning leaders to get to know these tools, understand how they work, and start to experiment with them as fast as you can.


Speaking of the ASU+GSV Summit, see this posting from Michael Moe:

EIEIO…Brave New World
By: Michael Moe, CFA, Brent Peus, Owen Ritz

Excerpt:

Last week, the 14th annual ASU+GSV Summit hosted over 7,000 leaders from 70+ companies well as over 900 of the world’s most innovative EdTech companies. Below are some of our favorite speeches from this year’s Summit…

***

Also see:

Imagining what’s possible in lifelong learning: Six insights from Stanford scholars at ASU+GSV — from acceleratelearning.stanford.edu by Isabel Sacks

Excerpt:

High-quality tutoring is one of the most effective educational interventions we have – but we need both humans and technology for it to work. In a standing-room-only session, GSE Professor Susanna Loeb, a faculty lead at the Stanford Accelerator for Learning, spoke alongside school district superintendents on the value of high-impact tutoring. The most important factors in effective tutoring, she said, are (1) the tutor has data on specific areas where the student needs support, (2) the tutor has high-quality materials and training, and (3) there is a positive, trusting relationship between the tutor and student. New technologies, including AI, can make the first and second elements much easier – but they will never be able to replace human adults in the relational piece, which is crucial to student engagement and motivation.



A guide to prompting AI (for what it is worth) — from oneusefulthing.org by Ethan Mollick
A little bit of magic, but mostly just practice

Excerpt (emphasis DSC):

Being “good at prompting” is a temporary state of affairs. The current AI systems are already very good at figuring out your intent, and they are getting better. Prompting is not going to be that important for that much longer. In fact, it already isn’t in GPT-4 and Bing. If you want to do something with AI, just ask it to help you do the thing. “I want to write a novel, what do you need to know to help me?” will get you surprisingly far.

The best way to use AI systems is not to craft the perfect prompt, but rather to use it interactively. Try asking for something. Then ask the AI to modify or adjust its output. Work with the AI, rather than trying to issue a single command that does everything you want. The more you experiment, the better off you are. Just use the AI a lot, and it will make a big difference – a lesson my class learned as they worked with the AI to create essays.

From DSC:
Agreed –> “Being “good at prompting” is a temporary state of affairs.” The User Interfaces that are/will be appearing will help greatly in this regard.


From DSC:
Bizarre…at least for me in late April of 2023:


Excerpt from Lore Issue #28: Drake, Grimes, and The Future of AI Music — from lore.com

Here’s a summary of what you need to know:

  • The rise of AI-generated music has ignited legal and ethical debates, with record labels invoking copyright law to remove AI-generated songs from platforms like YouTube.
  • Tech companies like Google face a conundrum: should they take down AI-generated content, and if so, on what grounds?
  • Some artists, like Grimes, are embracing the change, proposing new revenue-sharing models and utilizing blockchain-based smart contracts for royalties.
  • The future of AI-generated music presents both challenges and opportunities, with the potential to create new platforms and genres, democratize the industry, and redefine artist compensation.

The Need for AI PD — from techlearning.com by Erik Ofgang
Educators need training on how to effectively incorporate artificial intelligence into their teaching practice, says Lance Key, an award-winning educator.

“School never was fun for me,” he says, hoping that as an educator he could change that with his students. “I wanted to make learning fun.”  This ‘learning should be fun’ philosophy is at the heart of the approach he advises educators take when it comes to AI. 


Coursera Adds ChatGPT-Powered Learning Tools — from campustechnology.com by Kate Lucariello

Excerpt:

At its 11th annual conference in 2023, educational company Coursera announced it is adding ChatGPT-powered interactive ed tech tools to its learning platform, including a generative AI coach for students and an AI course-building tool for teachers. It will also add machine learning-powered translation, expanded VR immersive learning experiences, and more.

Coursera Coach will give learners a ChatGPT virtual coach to answer questions, give feedback, summarize video lectures and other materials, give career advice, and prepare them for job interviews. This feature will be available in the coming months.

From DSC:
Yes…it will be very interesting to see how tools and platforms interact from this time forth. The term “integration” will take a massive step forward, at least in my mind.


 

A Culture of No: How to Get Past Fear and Risk-Aversion to Make Things Happen — from gettingsmart.com by Trace Pickering

Key Points

  • What are a few other straightforward moves an educational leader can make to ensure they can push break-the-mold, innovative changes needed in education today?
  • Is the culture of education simply too deep and unmovable to be creative and move forward?

I’ve had the unique privilege of moving between business and education throughout my career, including getting to work with some highly dynamic and influential business leaders in my community. One of the biggest differences between business leaders and school and district leaders has been how quickly and easily business gets to “yes” while education seems to wallow in the purgatory of the “yeah but…” and the “no.”

 

The 2023 Global Sentiment Survey — from donaldhtaylor.co.uk by Don Taylor

Excerpt:

This year’s Global Sentiment Survey – the tenth – paints a picture that is both familiar and unusual. In our 2020 survey report, we noted that ‘Data dominates this year’s survey’. It does so again this year, with the near 4,000 respondents showing a strong interest in AI, Skills-based talent management and Learning analytics (in positions #2, #3 and #4), all of which rely on data. The table is topped by Reskilling/upskilling, in the #1 spot for the third year running.
.

Donald Taylor's GSS 2023

.

Also see Don’s report here >>

 

 

Verified Skills — from the-job.beehiiv.com by Paul Fain
Hunting for a common thread amid the hype around skills.

Excerpt:

The glitzy ASU+GSV gathering this week was titled “Brave New World.” But Tim Knowles wanted to talk about 1906.

That was when the organization Knowles leads, the Carnegie Foundation for the Advancement of Teaching, created the credit-hour standard. The time has arrived, argue Knowles and Amit Sevak, CEO of ETS, to move away from the Carnegie Unit and toward a new currency of education based on meaningful skills and accomplishments, demonstrated through assessment.

Our old way of training Americans for ‘good jobs’ is past its sell-by date — from workshift.opencampusmedia.org by JB Holston
We’re at a pivot point in education and workforce development. Employers in the U.S. and its allies have an opportunity to accelerate their economies by collaborating to scale new pathways to prosperity. They need to seize that opportunity, writes JB Holston, former CEO of the Greater Washington Partnership.

The country is at a pivot point. COVID’s acceleration of remote work and training; an increased dedication to inclusion, equity, and diversity since the murder of George Floyd; the inexorable pace of technological change; and America’s new, well-funded industrial policy have created an opportunity for the most significant re-set in the relationship between employers and our education systems in the last 150 years.

The old path to family-supporting career positions—which depended on large employers recruiting graduates from a small universe of ranked colleges whose education stopped with that degree—is past its sell-by date.

AI in Hiring and Evaluating Workers: What Americans Think — from pewresearch.org by Lee Rainie, Monica Anderson, Colleen McClain, Emily A. Vogels, and Risa Gelles-Watnick
62% believe artificial intelligence will have a major impact on jobholders overall in the next 20 years, but far fewer think it will greatly affect them personally. People are generally wary and uncertain of AI being used in hiring and assessing workers

Excerpt:

A new Pew Research Center survey finds crosscurrents in the public’s opinions as they look at the possible uses of AI in workplaces. Americans are wary and sometimes worried. For instance, they oppose AI use in making final hiring decisions by a 71%-7% margin, and a majority also opposes AI analysis being used in making firing decisions. Pluralities oppose AI use in reviewing job applications and in determining whether a worker should be promoted. Beyond that, majorities do not support the idea of AI systems being used to track workers’ movements while they are at work or keeping track of when office workers are at their desks.

 

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:

 
 
© 2024 | Daniel Christian