Professors Plan Summer AI Upskilling, With or Without Support — from insidehighered.com by Susan D’Agostino Academics seeking respite from the fire hose of AI information and hot takes launch summer workshops. But many of the grass-roots efforts fall short of meeting demand.
Excerpt:
In these summer faculty AI workshops, some plan to take their first tentative steps in redesigning assignments to recognize the AI-infused landscape. Others expect to evolve their in-progress teaching-with-AI practices. At some colleges, full-time staff will deliver the workshops or pay participants for professional development time. But some offerings are grassroots efforts delivered by faculty volunteers attended by participants on their own time. Even so, many worry that the efforts will fall short of meeting demand.
From DSC: We aren’t used to this pace of change. It will take time for faculty members — as well as Instructional Designers, Instructional Technologists, Faculty Developers, Learning Experience Designers, Librarians, and others — to learn more about AI and its implications for teaching and learning. Faculty are learning. Staff are learning. Students are learning. Grace is needed. And faculty/staff modeling what it is to learn themselves is a good thing for students to see as well.
This can be done first and foremost through collaboration, bringing more people at the table, in a meaningful workflow, whereby they can make the best use of their expertise. Moreover, we need to take a step back and keep the big picture in mind, if we want to provide our students with a valuable experience.
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This is all about creating and nurturing partnerships. Thinking in an inclusive way about who is at the table when we design our courses and our programmes and who we are currently missing. Generally speaking, the main actors involved should be: teaching staff, learning design professionals (under all their various names) and students. Yes, students. Although we are designing for their learning, they are all too often not part of the process.
In order to yield results, collaborative practice needs to be embedded in the institutional fabric, and this takes time. Building silos happens fast, breaking them is a long term process. Creating a culture of dialogue, with clear and replicable processes is key to making collaborative learning design work.
From DSC: To me, Alexandra is addressing the topic of using teams to design, develop, and teach/offer courses. This is where a variety of skills and specialties can come together to produce an excellent learning experience. No one individual has all of the necessary skills — nor the necessary time. No way.
In the fifth free webinar on AI for Education, I am joined by Dean Pearman, Head of Education at Beaconhills College and Tom Oliphant, Head of Technology and Enterprise at St John’s Grammar School. We explore questions about creativity, design and the new skills that are emerging. Join us to invest in your AI Literacy. Expand your toolset, broaden your understanding, and challenge your thinking.
You are watching the fourth free webinar, a dialogue about AI for education with Sophie Fenton, Steve Brophy and hosted by Tom Barrett Building Blocks – key AI concepts to learn. Practical frameworks for navigating the challenges of AI for education. Be part of a dialogue on provocations about AI and human centred education, truth and identity.
Using ChatGPT in Math Lesson Planning — from edutopia.org by Kristen Moore Artificial intelligence tools are useful beyond language arts classes. Math teachers can use them to save time and create interesting lessons.
Democratic Inputs to AI — from openai.com Our nonprofit organization, OpenAI, Inc., is launching a program to award ten $100,000 grants to fund experiments in setting up a democratic process for deciding what rules AI systems should follow, within the bounds defined by the law.
AI Canon — from a16z.com (Andreessen Horowitz) by Derrick Harris, Matt Bornstein, and Guido Appenzeller; via The Neuron newsletter
Excerpts:
Research in artificial intelligence is increasing at an exponential rate. It’s difficult for AI experts to keep up with everything new being published, and even harder for beginners to know where to start. So, in this post, we’re sharing a curated list of resources we’ve relied on to get smarter about modern AI. We call it the “AI Canon” because these papers, blog posts, courses, and guides have had an outsized impact on the field over the past several years.
May 21, 2023 It’s officially the season of caps, gowns, and stoles—and new grads are gearing up for entry into the world of work at a time when organizations are undergoing massive shifts. “The shifts include complex questions about how to organize for speed to shore up resilience, find the right balance between in-person and remote work models, address employees’ declining mental health, and build new institutional capabilities at a time of rapid technological change, among others,” write Patrick Guggenberger, Dana Maor, Michael Park, and Patrick Simon in a new report. These changes have significant implications for structures, processes, and people. How can new grads set themselves up for success in a quickly evolving environment? If you’re a soon-to-be new grad or know one, check out our newly refreshed special collection for insights and interviews on topics including productivity, hybrid work models, worker preferences, tech trends, and much more.
On a somewhat relevant posting (it has to do with career development as well), also see:
From Basic to Brand: How to Build and Use a Purposeful LinkedIn Profile — from er.educause.edu by Ryan MacTaggart and Laurie Burruss Developing a professional brand helps higher education professionals establish meaningful work-related connections and build credibility in their area of expertise.
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:
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…
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.
ChatGPT, Bing Chat, Google’s Bard—AI is infiltrating the lives of billions.
The 1% who understand it will run the world.
Here’s a list of key terms to jumpstart your learning:
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.
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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:
FaceTiming live with AI… This app came across the @ElunaAI Discord and I was very impressed with its responsiveness, natural expression and language, etc…
Feels like the beginning of another massive wave in consumer AI products.
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.
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.
From DSC: Regarding the core curricula of colleges and universities…
For decades now, faculty members have taught what they wanted to teach and what interested them. They taught what they wanted to research vs. what the wider marketplace/workplace needed. They were not responsive to the needs of the workplace — nor to the needs of their students!
And this situation has been all the more compounded by the increasing costs of obtaining a degree plus the exponential pace of change. We weren’t doing a good job before this exponential pace of change started taking place — and now it’s (almost?) impossible to keep up.
The bottom line on the article below: ***It’s sales.***
Therefore, it’s about what you are selling — and at what price. The story hasn’t changed much. The narrative (i.e., the curricula and more) is pretty much the same thing that’s been sold for years.
But the days of faculty members teaching whatever they wanted to are over, or significantly waning.
Faculty members, faculty senates, provosts, presidents, and accreditors are reaping what they’ve sown.
The questions are now:
Will new seeds be sown?
Will new crops arise in the future?
Will there be new narratives?
Will institutions be able to reinvent themselves (one potential example here)? Or will their cultures not allow such significant change to take place? Will alternatives to institutions of traditional higher education continue to pick up steam?
A Profession on the Edge — from chronicle.com by Eric Hoover Why enrollment leaders are wearing down, burning out, and leaving jobs they once loved.
Excerpts:
Similar stories are echoing throughout the hallways of higher education. Vice presidents for enrollment, as well as admissions deans and directors, are wearing down, burning out, and leaving jobs they once loved. Though there’s no way to compile a chart quantifying the churn, industry insiders describe it as significant. “We’re at an inflection point,” says Rick Clark, executive director of undergraduate admission at Georgia Tech. “There have always been people leaving the field, but not in the numbers we’re seeing now.”
Some are being shoved out the door by presidents and boards. Some are resigning out of exhaustion, frustration, and disillusionment. And some who once sought top-level positions are rethinking their ambitions. “The pressures have ratcheted up tenfold,” says Angel B. Pérez, chief executive of the National Association for College Admission Counseling, known as NACAC. “I talk with someone each week who’s either leaving the field or considering leaving.”
From DSC: This quote points to what I’m trying to address here:
Dahlstrom and other veterans of the field say they’ve experienced something especially disquieting: an erosion of faith in the transformational power of higher education. Though she sought a career in admissions to help students, her disillusionment grew after taking on a leadership role. She became less confident that she was equipped to effect positive changes, at her institution or beyond, especially when it came to the challenge of expanding college access in a nation of socioeconomic disparities: “I felt like a cog in a huge machine that’s not working, yet continues to grind while only small, temporary fixes are made.”
Impacting virtually every industry, generative AI unlocks a new frontier of opportunities—for knowledge and creative workers—to solve today’s most important challenges. NVIDIA is powering generative AI through an impressive suite of cloud services, pre-trained foundation models, as well as cutting-edge frameworks, optimized inference engines, and APIs to bring intelligence to your enterprise applications.
NVIDIA AI Foundations is a set of cloud services that advance enterprise-level generative AI and enable customization across use cases in areas such as text (NVIDIA NeMo™), visual content (NVIDIA Picasso), and biology (NVIDIA BioNeMo™). Unleash the full potential with NeMo, Picasso, and BioNeMo cloud services, powered by NVIDIA DGX™ Cloud—the AI supercomputer.
Artificial Intelligence is now taking the world of learning by storm. Here are 5 ways you can successfully incorporate AI in online learning.
Let’s say you’re training sales reps on handling different customer personalities. You can use this technology to diversify your branching scenarios so that trainees can also speak and not only type. This way, not only will the training become more realistic, but you’ll also be able to assess and work on additional elements, such as tone of voice, volume, speech tempo, etc.
According to famed futurist Richard Slaughter, foresight (also known as futures thinking or futuring) is “the ability to create and maintain a high-quality, coherent and functional forward view, and to use the insights arising in useful organizational ways.”2In other words, foresight is a way to examine the paths the future might take, using qualitative and quantitative metrics, and then use the insights gained from this analysis to navigate our uncertain and changing world with purpose.
“The art and science of futuring is fast becoming a necessary skill, where we read signals, see trends and ruthlessly test our own assumptions…Like the ability to make a budget or think critically, it’s a skill that anyone who has to make long-range decisions should, and can, acquire.”3
From DSC: The development of these futuring skills needs to begin in K-12 and continue into vocational programs as well as in college.
I think a lot of people do not realize how rapidly the multiple strands of generative AI (audio, text, images, and video) are advancing, and what that means for the future.
With just a photograph and 60 seconds of audio, you can now create a deepfake of yourself in just a matter of minutes by combining a few cheap AI tools. I’ve tried it myself, and the results are mind-blowing, even if they’re not completely convincing. Just a few months ago, this was impossible. Now, it’s a reality.
Board members and corporate execs don’t need AI to decode the lessons to be learned from this. The lessons should be loud and clear: If even the mighty Google can be potentially overthrown by AI disruption, you should be concerned about what this may mean for your company. …
Professions that will be disrupted by generative AI include marketing, copywriting, illustration and design, sales, customer support, software coding, video editing, film-making, 3D modeling, architecture, engineering, gaming, music production, legal contracts, and even scientific research. Software applications will soon emerge that will make it easy and intuitive for anyone to use generative AI for those fields and more. .
Feb 1 (Reuters) – ChatGPT, the popular chatbot from OpenAI, is estimated to have reached 100 million monthly active users in January, just two months after launch, making it the fastest-growing consumer application in history, according to a UBS study on Wednesday.
The report, citing data from analytics firm Similarweb, said an average of about 13 million unique visitors had used ChatGPT per day in January, more than double the levels of December.
“In 20 years following the internet space, we cannot recall a faster ramp in a consumer internet app,” UBS analysts wrote in the note.
From DSC: This reminds me of the current exponential pace of change that we are experiencing…
Here’s the list of sources: https://t.co/fJd4rh8kLy. The larger resource area at https://t.co/bN7CReGIEC has sample ChatGPT essays, strategies for mitigating harm, and questions for teachers to ask as well as a listserv.
— Anna Mills, amills@mastodon.oeru.org, she/her (@EnglishOER) January 11, 2023
Microsoft is reportedly eyeing a $10 billion investment in OpenAI, the startup that created the viral chatbot ChatGPT, and is planning to integrate it into Office products and Bing search.The tech giant has already invested at least $1 billion into OpenAI. Some of these features might be rolling out as early as March, according to The Information.
This is a big deal. If successful, it will bring powerful AI tools to the masses.So what would ChatGPT-powered Microsoft products look like? We asked Microsoft and OpenAI. Neither was willing to answer our questions on how they plan to integrate AI-powered products into Microsoft’s tools, even though work must be well underway to do so. However, we do know enough to make some informed, intelligent guesses. Hint: it’s probably good news if, like me, you find creating PowerPoint presentations and answering emails boring.
I have maintained for several years, including a book ‘AI for Learning’, that AI is the technology of the age and will change everything. This is unfolding as we speak but it is interesting to ask who the winners are likely to be.
People who have heard of GPT-3 / ChatGPT, and are vaguely following the advances in machine learning, large language models, and image generators. Also people who care about making the web a flourishing social and intellectual space.
That dark forest is about to expand. Large Language Models (LLMs) that can instantly generate coherent swaths of human-like text have just joined the party.
It is in this uncertain climate that Hassabis agrees to a rare interview, to issue a stark warning about his growing concerns. “I would advocate not moving fast and breaking things.”
…
“When it comes to very powerful technologies—and obviously AI is going to be one of the most powerful ever—we need to be careful,” he says. “Not everybody is thinking about those things. It’s like experimentalists, many of whom don’t realize they’re holding dangerous material.” Worse still, Hassabis points out, we are the guinea pigs.
Demis Hassabis
Excerpt (emphasis DSC):
Hassabis says these efforts are just the beginning. He and his colleagues have been working toward a much grander ambition: creating artificial general intelligence, or AGI, by building machines that can think, learn, and be set to solve humanity’s toughest problems.Today’s AI is narrow, brittle, and often not very intelligent at all. But AGI, Hassabis believes, will be an “epoch-defining” technology—like the harnessing of electricity—that will change the very fabric of human life. If he’s right, it could earn him a place in history that would relegate the namesakes of his meeting rooms to mere footnotes.
But with AI’s promise also comes peril.In recent months, researchers building an AI system to design new drugs revealed that their tool could be easily repurposed to make deadly new chemicals. A separate AI model trained to spew out toxic hate speech went viral, exemplifying the risk to vulnerable communities online. And inside AI labs around the world, policy experts were grappling with near-term questions like what to do when an AI has the potential to be commandeered by rogue states to mount widespread hacking campaigns or infer state-level nuclear secrets.
Headteachers and university lecturers have expressed concerns that ChatGPT, which can provide convincing human-sounding answers to exam questions, could spark a wave of cheating in homework and exam coursework.
Now, the bot’s makers, San Francisco-based OpenAI, are trying to counter the risk by “watermarking” the bot’s output and making plagiarism easier to spot.
Students need now, more than ever, to understand how to navigate a world in which artificial intelligence is increasingly woven into everyday life. It’s a world that they, ultimately, will shape.
We hail from two professional fields that have an outsize interest in this debate. Joanne is a veteran journalist and editor deeply concerned about the potential for plagiarism and misinformation. Rebecca is a public health expert focused on artificial intelligence, who champions equitable adoption of new technologies.
We are also mother and daughter. Our dinner-table conversations have become a microcosm of the argument around ChatGPT, weighing its very real dangers against its equally real promise. Yet we both firmly believe that a blanket ban is a missed opportunity.
ChatGPT: Threat or Menace? — from insidehighered.com by Steven Mintz Are fears about generative AI warranted?
The rapid pace of change is driven by a “perfect storm” of factors, including the falling cost of computing power, the rise of data-driven decision-making, and the increasing availability of new technologies. “The speed of current breakthroughs has no historical precedent,”concluded Andrew Doxsey, co-founder of Libra Incentix, in an interview. “Unlike previous technological revolutions, the Fourth Industrial Revolution is evolving exponentially rather than linearly. Furthermore, it disrupts almost every industry worldwide.”
An updated version of the AI chatbot ChatGPT was recently released to the public.
I got the chatbot to write cover letters for real jobs and asked hiring managers what they thought.
The managers said they would’ve given me a call but that the letters lacked personality.
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I mentor a young lad with poor literacy skills who is starting a landscaping business. He struggles to communicate with clients in a professional manner.
I created a GPT3-powered Gmail account to which he sends a message. It responds with the text to send to the client. pic.twitter.com/nlFX9Yx6wR
This may come as a surprise — adult learners over 25 make up nearly 40 percent of today’s U.S. undergraduate population at colleges and universities. However, these learners often find themselves treated as outliers by institutions designed for traditional students, which leads to poorer learner outcomes and, as a result, barriers to social mobility.
To ensure adult learners can meaningfully participate in your workforce education program, organizations can build on-ramps capable of accommodating all learners.
On-ramps provide employees access to high-quality academic programs, enable them to continue their educational journey toward a degree or certification by meeting them where they are, and hold a key role in paving the way for successful learner outcomes.
On average, 37% of the top 20 skills requested for the average U.S. job have changed since 2016.
Excerpt: By analyzing hundreds of millions of recent U.S. job postings, the Burning Glass Institute and the Business–Higher Education Forum (BHEF) identified four of the fastest-growing, highest-demand emerging skill sets:
Artificial Intelligence/Machine Learning
Cloud Computing
Product Management
Social Media
These four skill sets serve as a laboratory for understanding what business and education leaders can do to prepare workers and students for skills disruption. To illustrate how programs can help learners and workers acquire essential skills, this report includes profiles of recent innovations from the BHEF network.
The future belongs to those who seek to understand, anticipate, and harness the power of emerging skills, rather than maintain a posture of reaction/response. … The prospect of helping all those who are challenged by skill disruption hinges on the readiness of business and higher education to engage in understanding and planning for skill disruption over the long term.
From DSC: “On average, 37% of the top 20 skills requested for the average U.S. job have changed since 2016.” That’s what I’m talking about when I talk about the exponential pace of change. It’s hard to deal with. Our institutions of education are not used to this pace of change. Our legal system isn’t used to this pace of change. And there are other industries struggling to keep up.
Should the pace of change be an element of our design when we think about using Design Thinking to create a new lifelong learning ecosystem?
After playing with in for the past 24 hours, I believe #ChatGPT is going to change the world, including the world of law and legal education. Ignore it at your peril. #AI#innovation#legaltech
More interesting results from #ChatGPT. I entered the same prompt about a bicycle accident twice — once bracketed by clear messaging that I was looking for legal advice, once without that messaging. Check out the differences. pic.twitter.com/BJJiGjAvs6
Unprepared for the Future
Fully 70% of people don’t feel prepared for the future of work, according to a study of 3,000 people conducted by Amazon and Workplace Intelligence. In addition, research by Adobe involving almost 10,000 people across eight global markets found 80% of people are concerned by at least one global issue, upsetting them enough to impact negatively on their productivity and job satisfaction.
… Big Implications
The implications for employers are significant as well, with 64%-66% of people saying they are likely to leave their employer because there aren’t enough opportunities for skills development or career advancement.
