One problem, of course, is that it’s prohibitively expensive to hire a tutor for every average or struggling student, or even one for every two or three of them. This was the two-sigma “problem” that Bloom alluded to in the title of his essay: how can the massive benefits of tutoring possibly be scaled up? Both Khan and Zuckerberg have argued that the answer is to have computers, maybe powered by artificial intelligence, serve as tutors instead of humans.
From DSC: I’m hoping that AI-backed learning platforms WILL help many people of all ages and backgrounds. But I realize — and appreciate what Natalie is saying here as well — that human beings are needed in the learning process (especially at younger ages).
But without the human element, that’s unlikely to be enough. Students are more likely to work hard to please a teacher than to please a computer.
Natalie goes on to talk about training all teachers in cognitive science — a solid idea for sure. That’s what I was trying to get at with this graphic: .
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But I’m not as hopeful in all teachers getting trained in cognitive science…as it should have happened (in the Schools of Education and in the K12 learning ecosystem at large) by now. Perhaps it will happen, given enough time.
And with more homeschooling and blended programs of education occurring, that idea gets stretched even further.
Parents are looking for a different kind of education for their children.A 2024 poll of parents reveals that 72% are considering, 63% are searching for, and 44% have selected a new K-12 school option for their children over the past few years. So, what type of education are they seeking?
Additional polling data reveals that 49% of parents would prefer their child learn from home at least one day a week.While 10% want full-time homeschooling, the remaining 39% of parents desire their child to learn at home one to four days a week, with the remaining days attending school on-campus. Another parent poll released this month indicates that an astonishing 64% of parents indicated that if they were looking for a new school for their child, they would enroll him or her in a hybrid school.
NVIDIA Digital Human Technologies Bring AI Characters to Life
Leading AI Developers Use Suite of NVIDIA Technologies to Create Lifelike Avatars and Dynamic Characters for Everything From Games to Healthcare, Financial Services and Retail Applications
Today is the beginning of our moonshot to solve embodied AGI in the physical world. I’m so excited to announce Project GR00T, our new initiative to create a general-purpose foundation model for humanoid robot learning.
As the FlexOS research study “Generative AI at Work” concluded based on a survey amongst knowledge workers, ChatGPT reigns supreme. … 2. AI Tool Usage is Way Higher Than People Expect – Beating Netflix, Pinterest, Twitch. As measured by data analysis platform Similarweb based on global web traffic tracking, the AI tools in this list generate over 3 billion monthly visits.
With 1.67 billion visits, ChatGPT represents over half of this traffic and is already bigger than Netflix, Microsoft, Pinterest, Twitch, and The New York Times.
Something unusual is happening in America. Demand for electricity, which has stayed largely flat for two decades, has begun to surge.
Over the past year, electric utilities have nearly doubled their forecasts of how much additional power they’ll need by 2028 as they confront an unexpected explosion in the number of data centers, an abrupt resurgence in manufacturing driven by new federal laws, and millions of electric vehicles being plugged in.
The tumult could seem like a distraction from the startup’s seemingly unending march toward AI advancement. But the tension, and the latest debate with Musk, illuminates a central question for OpenAI, along with the tech world at large as it’s increasingly consumed by artificial intelligence: Just how open should an AI company be?
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The meaning of the word “open” in “OpenAI” seems to be a particular sticking point for both sides — something that you might think sounds, on the surface, pretty clear. But actual definitions are both complex and controversial.
In partnership with the National Cancer Institute, or NCI, researchers from the Department of Energy’s Oak Ridge National Laboratory and Louisiana State University developed a long-sequenced AI transformer capable of processing millions of pathology reports to provide experts researching cancer diagnoses and management with exponentially more accurate information on cancer reporting.
A new study from the University of Tokyo has highlighted the positive effect that immersive virtual reality experiences have for depression anti-stigma and knowledge interventions compared to traditional video.
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The study found that depression knowledge improved for both interventions, however, only the immersive VR intervention reduced stigma. The VR-powered intervention saw depression knowledge score positively associated with a neural response in the brain that is indicative of empathetic concern. The traditional video intervention saw the inverse, with participants demonstrating a brain-response which suggests a distress-related response.
From DSC: This study makes me wonder why we haven’t heard of more VR-based uses in diversity training. I’m surprised we haven’t heard of situations where we are put in someone else’s mocassins so to speak. We could have a lot more empathy for someone — and better understand their situation — if we were to experience life as others might experience it. In the process, we would likely uncover some hidden biases that we have.
The early vibrations of AI have already been shaking the newsroom. One downside of the new technology surfaced at CNET and Sports Illustrated, where editors let AI run amok with disastrous results. Elsewhere in news media, AI is already writing headlines, managing paywalls to increase subscriptions, performing transcriptions, turning stories in audio feeds, discovering emerging stories, fact checking, copy editing and more.
Felix M. Simon, a doctoral candidate at Oxford, recently published a white paper about AI’s journalistic future that eclipses many early studies. Swinging a bat from a crouch that is neither doomer nor Utopian, Simon heralds both the downsides and promise of AI’s introduction into the newsroom and the publisher’s suite.
Unlike earlier technological revolutions, AI is poised to change the business at every level. It will become — if it already isn’t — the beginning of most story assignments and will become, for some, the new assignment editor. Used effectively, it promises to make news more accurate and timely. Used frivolously, it will spawn an ocean of spam. Wherever the production and distribution of news can be automated or made “smarter,” AI will surely step up. But the future has not yet been written, Simon counsels. AI in the newsroom will be only as bad or good as its developers and users make it.
We proposed EMO, an expressive audio-driven portrait-video generation framework. Input a single reference image and the vocal audio, e.g. talking and singing, our method can generate vocal avatar videos with expressive facial expressions, and various head poses, meanwhile, we can generate videos with any duration depending on the length of input video.
New experimental work from Adobe Research is set to change how people create and edit custom audio and music. An early-stage generative AI music generation and editing tool, Project Music GenAI Control allows creators to generate music from text prompts, and then have fine-grained control to edit that audio for their precise needs.
“With Project Music GenAI Control, generative AI becomes your co-creator. It helps people craft music for their projects, whether they’re broadcasters, or podcasters, or anyone else who needs audio that’s just the right mood, tone, and length,” says Nicholas Bryan, Senior Research Scientist at Adobe Research and one of the creators of the technologies.
There’s a lot going on in the world of generative AI, but maybe the biggest is the increasing number of copyright lawsuits being filed against AI companies like OpenAI and Stability AI. So for this episode, we brought on Verge features editor Sarah Jeong, who’s a former lawyer just like me, and we’re going to talk about those cases and the main defense the AI companies are relying on in those copyright cases: an idea called fair use.
The FCC’s war on robocalls has gained a new weapon in its arsenal with the declaration of AI-generated voices as “artificial” and therefore definitely against the law when used in automated calling scams. It may not stop the flood of fake Joe Bidens that will almost certainly trouble our phones this election season, but it won’t hurt, either.
The new rule, contemplated for months and telegraphed last week, isn’t actually a new rule — the FCC can’t just invent them with no due process. Robocalls are just a new term for something largely already prohibited under the Telephone Consumer Protection Act: artificial and pre-recorded messages being sent out willy-nilly to every number in the phone book (something that still existed when they drafted the law).
EIEIO…Chips Ahoy!— from dashmedia.co by Michael Moe, Brent Peus, and Owen Ritz
Here Come the AI Worms — from wired.com by Matt Burgess Security researchers created an AI worm in a test environment that can automatically spread between generative AI agents—potentially stealing data and sending spam emails along the way.
Now, in a demonstration of the risks of connected, autonomous AI ecosystems, a group of researchers have created one of what they claim are the first generative AI worms—which can spread from one system to another, potentially stealing data or deploying malware in the process. “It basically means that now you have the ability to conduct or to perform a new kind of cyberattack that hasn’t been seen before,” says Ben Nassi, a Cornell Tech researcher behind the research.
How Learning Happens — from edutopia.org In this series, we explore how educators can guide all students, regardless of their developmental starting points, to become productive and engaged learners.
These techniques have resonated with educators everywhere: They are focused on taking advantage of the incredible opportunity to help children reach their full potential by creating positive relationships, experiences, and environments in which every student can thrive. In fact, the science is beginning to hint at even more dramatic outcomes. Practices explicitly designed to integrate social, emotional, and cognitive skills in the classroom, the research suggests, can reverse the damages wrought by childhood trauma and stress—while serving the needs of all students and moving them onto a positive developmental and academic path.
Also from edutopia.org recently, see:
How to Introduce Journaling to Young Children— from edutopia.org by Connie Morris Students in preschool through second grade can benefit from drawing or writing to explore their thoughts and feelings.
The symbiotic relationship between reading and writing can help our youngest students grow their emergent literacy skills. The idea of teaching writing at an early age can seem daunting. However, meeting children where they are developmentally can make a journaling activity become a magical experience—and they don’t have to write words but can convey thoughts in pictures.
7 Digital Tools That Help Bring History to Life— from edutopia.org by Daniel Leonard Challenging games, fun projects, and a healthy dose of AI tools round out our top picks for breathing new life into history lessons.
We’ve compiled a list of seven teacher-tested tools, and we lay out how educators are using them both to enhance their lessons and to bring history closer to the present than ever.
From DSC: Google hopes that this personalized AI/app will help people with their note-taking, thinking, brainstorming, learning, and creating.
It reminds me of what Derek Bruff was just saying in regards to Top Hat’s Ace product being able to work with a much narrower set of information — i.e., a course — and to be almost like a personal learning assistant for the course you are taking. (As Derek mentions, this depends upon how extensively one uses the CMS/LMS in the first place.)
Researchers from edX, an education platform for upskilling workers, conducted a survey involving over 1,500 executives and knowledge workers. The findings revealed that nearly half of CEOs believe AI could potentially replace “most” or even all aspects of their own positions.
What’s even more intriguing is that 47% of the surveyed executives not only see the possibility of AI taking over their roles but also view it as a desirable development.
Why? Because they anticipate that AI could rekindle the need for traditional leadership for those who remain.
“Success in the CEO role hinges on effective leadership, and AI can liberate time for this crucial aspect of their role,” Andy Morgan, Head of edX for Business comments on the findings.
“CEOs understand that time saved on routine tasks can stimulate innovation, nurture creativity, and facilitate essential upskilling for their teams, fostering both individual and organizational success,” he adds.
But CEOs already know this: EdX’s research echoed that 79% of executives fear that if they don’t learn how to use AI, they’ll be unprepared for the future of work.
From DSC: By the way, my first knee-jerk reaction to this was:
WHAT?!?!?!? And this from people who earn WAAAAY more than the average employee, no doubt.
After a chance to calm down a bit, I see that the article does say that CEOs aren’t going anywhere. Ah…ok…got it.
Time-based business models are liable for disruption via a value-based overhaul of compensation. Today, as most designers, lawyers, and many trades in between continue to charge by the hour, the AL-powered step-function improvements in workflows are liable to shake things up.
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In such a world, time-based billing simply won’t work anymore unless the value derived from these services is also compressed by a multiple (unlikely). The classic time-based model of billing for lawyers, designers, consultants, freelancers etc is officially antiquated. So, how might the value be captured in a future where we no longer bill by the hour? …
The worlds of creativity and marketing are rapidly changing – and rapidly coming together.
#AI #businessmodels #lawyers #billablehour
It becomes clear that just prompting to get images is a rather elementary use case of AI, compared to the ability to place and move objects, change perspective, adjust lighting, and many other actions using AI.
Huge new updates to ChatGPT / GPT-4.
1. Upload and chat with any PDF document
2. Use tools without switching chats
AlphaFold is an AI system developed by DeepMind that predicts a protein’s 3D structure from its amino acid sequence. It regularly achieves accuracy competitive with experiment.
But one other consequence is that I believe it may destroy the $68 billion search engine optimization industry that companies like Google helped create.
For the past 25 years or so, websites, news outlets, blogs and many others with a URL that wanted to get attention have used search engine optimization, or SEO, to “convince” search engines to share their content as high as possible in the results they provide to readers. This has helped drive traffic to their sites and has also spawned an industry of consultants and marketers who advise on how best to do that.
As an associate professor of information and operations management, I study the economics of e-commerce. I believe the growing use of generative AI will likely make all of that obsolete.
OpenAI is rolling out new beta features for ChatGPT Plus members right now. Subscribers have reported that the update includes the ability to upload files and work with them, as well as multimodal support. Basically, users won’t have to select modes like Browse with Bing from the GPT-4 dropdown — it will instead guess what they want based on context.
Oct 27 (Reuters) – Alphabet’s (GOOGL.O) Google has agreed to invest up to $2 billion in the artificial intelligence company Anthropic, a spokesperson for the startup said on Friday.
The company has invested $500 million upfront into the OpenAI rival and agreed to add $1.5 billion more over time, the spokesperson said.
Google is already an investor in Anthropic, and the fresh investment would underscore a ramp-up in its efforts to better compete with Microsoft (MSFT.O), a major backer of ChatGPT creator OpenAI, as Big Tech companies race to infuse AI into their applications.
Oct 16 (Reuters) – Florida lawyers might soon be required to get their client’s consent before using artificial intelligence on their legal matters.
The Florida Bar is crafting a new advisory opinion focused on the use of AI and has asked Florida lawyers to weigh in. Florida bar leaders have tasked the Florida Board Review Committee on Professional Ethics with creating rules around the use of generative AI, such as OpenAI’s ChatGPT, Google Bard or Microsoft’s Bing.
Calculus is a critical on-ramp to careers in science, technology, engineering and mathematics (STEM). But getting to those careers means surviving the academic journey.
While there’s been progress of late, it’s been “uneven” and Black, Hispanic and women workers are still underrepresented in some STEM fields. Traditional methods of calculus instruction may be knocking students off the path to these vital occupations, which is why advocates warn that getting diverse students into these careers may require instructional models more responsive to students. Meanwhile, the country is struggling to fill vacancies in related fields like semiconductor manufacturing, despite sizable investments — a feat that may require stabilizing the pipeline.
Good news: There’s mounting evidence that changing calculus instruction works for the groups usually pushed out of STEM. At least, that’s according to a randomized study recently published in the peer-reviewed journal Science.
Student Use Cases for AI: Start by Sharing These Guidelines with Your Class — from hbsp.harvard.edu by Ethan Mollick and Lilach Mollick
To help you explore some of the ways students can use this disruptive new technology to improve their learning—while making your job easier and more effective—we’ve written a series of articles that examine the following student use cases:
Earlier this week, CETL and AIG hosted a discussion among UM faculty and other instructors about teaching and AI this fall semester. We wanted to know what was working when it came to policies and assignments that responded to generative AI technologies like ChatGPT, Google Bard, Midjourney, DALL-E, and more. We were also interested in hearing what wasn’t working, as well as questions and concerns that the university community had about teaching and AI.
Then, in class he put them into groups where they worked together to generate a 500-word essay on “Why I Write” entirely through ChatGPT. Each group had complete freedom in how they chose to use the tool. The key: They were asked to evaluate their essay on how well it offered a personal perspective and demonstrated a critical reading of the piece. Weiss also graded each ChatGPT-written essay and included an explanation of why he came up with that particular grade.
After that, the students were asked to record their observations on the experiment on the discussion board. Then they came together again as a class to discuss the experiment.
Weiss shared some of his students’ comments with me (with their approval). Here are a few:
Asked to describe the state of generative AI that they would like to see in higher education 10 years from now, panelists collaboratively constructed their preferred future. .
Julie York, a computer science and media teacher at South Portland High School in Maine, was scouring the internet for discussion tools for her class when she found TeachFX. An AI tool that takes recorded audio from a classroom and turns it into data about who talked and for how long, it seemed like a cool way for York to discuss issues of data privacy, consent and bias with her students. But York soon realized that TeachFX was meant for much more.
York found that TeachFX listened to her very carefully, and generated a detailed feedback report on her specific teaching style. York was hooked, in part because she says her school administration simply doesn’t have the time to observe teachers while tending to several other pressing concerns.
“I rarely ever get feedback on my teaching style. This was giving me 100 percent quantifiable data on how many questions I asked and how often I asked them in a 90-minute class,” York says. “It’s not a rubric. It’s a reflection.”
TeachFX is easy to use, York says. It’s as simple as switching on a recording device.
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But TeachFX, she adds, is focused not on her students’ achievements, but instead on her performance as a teacher.
ChatGPT Is Landing Kids in the Principal’s Office, Survey Finds — from the74million.org by Mark Keierleber While educators worry that students are using generative AI to cheat, a new report finds students are turning to the tool more for personal problems.
Indeed, 58% of students, and 72% of those in special education, said they’ve used generative AI during the 2022-23 academic year, just not primarily for the reasons that teachers fear most. Among youth who completed the nationally representative survey, just 23% said they used it for academic purposes and 19% said they’ve used the tools to help them write and submit a paper. Instead, 29% reported having used it to deal with anxiety or mental health issues, 22% for issues with friends and 16% for family conflicts.
Part of the disconnect dividing teachers and students, researchers found, may come down to gray areas. Just 40% of parents said they or their child were given guidance on ways they can use generative AI without running afoul of school rules. Only 24% of teachers say they’ve been trained on how to respond if they suspect a student used generative AI to cheat.
The prospect of AI-powered, tailored, on-demand learning and performance support is exhilarating: It starts with traditional digital learning made into fully adaptive learning experiences, which would adjust to strengths and weaknesses for each individual learner. The possibilities extend all the way through to simulations and augmented reality, an environment to put into practice knowledge and skills, whether as individuals or working in a team simulation. The possibilities are immense.
Thanks to generative AI, such visions are transitioning from fiction to reality.
Video: Unleashing the Power of AI in L&D — from drphilippahardman.substack.com by Dr. Philippa Hardman An exclusive video walkthrough of my keynote at Sweden’s national L&D conference this week
Highlights
The wicked problem of L&D: last year, $371 billion was spent on workplace training globally, but only 12% of employees apply what they learn in the workplace
An innovative approach to L&D: when Mastery Learning is used to design & deliver workplace training, the rate of “transfer” (i.e. behaviour change & application) is 67%
AI 101: quick summary of classification, generative and interactive AI and its uses in L&D
The impact of AI: my initial research shows that AI has the potential to scale Mastery Learning and, in the process:
reduce the “time to training design” by 94% > faster
reduce the cost of training design by 92% > cheaper
increase the quality of learning design & delivery by 96% > better
Research also shows that the vast majority of workplaces are using AI only to “oil the machine” rather than innovate and improve our processes & practices
Practical tips: how to get started on your AI journey in your company, and a glimpse of what L&D roles might look like in a post-AI world
The idea was simple: ask sixty community leaders to fan across the city’s public schools, follow in the footsteps of its youngest citizens, and report back on what they saw.
Fifty-nine said yes. What they found, Pickering says, “were kids with dead eyes. Kids not engaged. And kids who knew that school was a game – and the game was rigged.”
So the Billy Madison team used its findings to design a prospective high school that would actually produce what its participants said they wanted to see:
Let kids pursue their passions. Give them real work to do. And get them out of the school building, and in the community.
This thought-provoking discussion delves into the topic of system replacement in education. Is school transformation possible without replacing the existing education system? Joining [Michael] to discuss the question are Thomas Arnett of the Christensen Institute and Kelly Young of Education Reimagined.
In an educational landscape that constantly seeks marginal improvements, [Michael’s] guests speak to the importance of embracing new value networks that support innovative approaches to learning. They bring to light the issue of programs that remain niche solutions, rather than robust, learner-centered alternatives. In exploring the concept of value networks, [Michael’s] guests challenge the notion of transforming individual schools or districts alone. They argue for the creation of a new value network to truly revolutionize the education system. Of course, they admit that achieving this is no small feat, as it requires a paradigm shift in mindset and a careful balance between innovation and existing structures. In this conversation, we wrestle with the full implications of their findings and more.
From DSC: This reminds me of the importance of TrimTab Groups who invent or test out something new apart from the mothership.
The 2023 GEM Report on technology and education explores these debates, examining education challenges to which appropriate use of technology can offer solutions (access, equity and inclusion; quality; technology advancement; system management), while recognizing that many solutions proposed may also be detrimental.
The report also explores three system-wide conditions (access to technology, governance regulation, and teacher preparation) that need to be met for any technology in education to reach its full potential.
Bloom Academy is the first and only self-directed learning center in Las Vegas – microschooling as true, nontraditional and permissionless education alternative. 5 Questions with Microschool Founders Sarah & Yamila.https://t.co/RvxtwGXvkZ
Since last spring, journalists at The 74 have been crossing the U.S. as part of our 2023 High School Road Trip. It has embraced both emerging and established high school models, taking us to 13 schools from Rhode Island to California, Arizona to South Carolina, and in between.
It has brought us face-to-face with innovation, with programs that promote everything from nursing to aerospace to maritime-themed careers.
At each school, educators seem to be asking one key question: What if we could start over and try something totally new?
What we’ve found represents just a small sample of the incredible diversity that U.S. high schools now offer, but we’re noticing a few striking similarities that educators in these schools, free to experiment with new models, now share. Here are the top eight: .
What does it take to empower parents and decentralize schooling? Why is a diversity of school models important to parents? Are we at a tipping point? .
Several meta-analyses, which summarize the evidence from many studies, have found higher achievement when students take quizzes instead of, say, reviewing notes or rereading a book chapter. “There’s decades and decades of research showing that taking practice tests will actually improve your learning,” said David Shanks, a professor of psychology and deputy dean of the Faculty of Brain Sciences at University College London.
Still, many students get overwhelmed during tests. Shanks and a team of four researchers wanted to find out whether quizzes exacerbate test anxiety. The team collected 24 studies that measured students’ test anxiety and found that, on average, practice tests and quizzes not only improved academic achievement, but also ended up reducing test anxiety. Their meta-analysis was published in Educational Psychology Review in August 2023.
The End of Scantron Tests— from theatlantic.com by Matteo Wong Machine-graded bubble sheets are the defining feature of American schools. Today’s kindergartners may never have to fill one out.
There are several possible reasons why pretesting worked in this study.
Students paid more attention to the pretested material during the lecture.
The pretest activated prior knowledge (some of them are clearly doing a lot of prework), and allowed them to encode the new information more deeply.
They were doing a lot of studying of the pretested information outside of class.
There are some great spaced retrieval effects going on. That is, students saw the material before lecture, they took a quiz on it during the pretest, then later they reviewed or quizzed themselves on that same material again during self-study.
OECS’s articles will not only establish a shared understanding of foundational concepts, but also showcase cutting-edge debates and introduce core subfields, central concepts, significant phenomena, and key methodologies.
A new planetarium project in the UK has the potential to revolutionise education and entertainment. Reece Webb reports.
Many integrators will work on a career defining project, and for Amir Khosh, a new, one-of-a-kind planetarium project nestled in the heart of Nottinghamshire, UK, has sat at the centre of his world.
A project more than five years in the making, ST Engineering Antycip will be part of the large-scale developmemt that is the Sherwood Observatory, which aims to drive education enrichment and visitor attraction in marginalised communities.
AI-Powered Virtual Legal Assistants Transform Client Services— from abovethelaw.com by Olga V. Mack They can respond more succinctly than ever to answer client questions, triage incoming requests, provide details, and trigger automated workflows that ensure lawyers handle legal issues efficiently and effectively.
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