STEM education has an access issue: let’s change that.
Around the world, people believe the we need more people in STEM careers. Eighty-seven percent of people believe we need to do more to encourage and retain girls in STEM education. At the same time, barriers remain – 73% of people believe underrepresented minorities often lack equal access STEM education.
Not The Science Type gets to the heart of access and gender inequity in STEM education and STEM fields. This four-part docuseries features four female scientists who are challenging stereotypes and confronting gender, racial and age discrimination as they rise to prominence.
Not The Science Type highlights four brilliant minds, showcasing women who break down boundaries within their fields – biology, engineering and science and technology-based applications. .
While each woman has taken a different path to pursue scientific excellence, they are bound by the common experience of feeling excluded, or “not the type” in traditionally homogenous fields.
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?
ChatGPT, Chatbots and Artificial Intelligence in Education — from ditchthattextbook.com by Matt Miller AI just stormed into the classroom with the emergence of ChatGPT. How do we teach now that it exists? How can we use it? Here are some ideas.
Excerpt: Now, we’re wondering …
What is ChatGPT? And, more broadly, what are chatbots and AI?
How is this going to impact education?
How can I teach tomorrow knowing that this exists?
Can I use this as a tool for teaching and learning?
Should we block it through the school internet filter — or try to ban it?
The tech world is abuzz over ChatGPT, a chat bot that is said to be the most advanced ever made.
It can create poems, songs, and even computer code. It convincingly constructed a passage of text on how to remove a peanut butter sandwich from a VCR, in the voice of the King James Bible.
As a PhD microbiologist, I devised a 10-question quiz that would be appropriate as a final exam for college-level microbiology students. ChatGPT blew it away.
On the one hand, yes, ChatGPT is capable of producing prose that looks convincing. But on the other hand, what it means to be convincing depends on context. The kind of prose you might find engaging and even startling in the context of a generative encounter with an AI suddenly seems just terrible in the context of a professional essay published in a magazine such as The Atlantic. And, as Warner’s comments clarify, the writing you might find persuasive as a teacher (or marketing manager or lawyer or journalist or whatever else) might have been so by virtue of position rather than meaning: The essay was extant and competent; the report was in your inbox on time; the newspaper article communicated apparent facts that you were able to accept or reject.
These lines of demarcation—the lines between when a tool can do all of a job, some of it, or none of it—are both constantly moving and critical to watch. Because they define knowledge work and point to the future of work. We need to be teaching people how to do the kinds of knowledge work that computers can’t do well and are not likely to be able to do well in the near future. Much has been written about the economic implications to the AI revolution, some of which are problematic for the employment market. But we can put too much emphasis on that part. Learning about artificial intelligence can be a means for exploring, appreciating, and refining natural intelligence. These tools are fun. I learn from using them. Those two statements are connected.
Google is planning to create a new AI feature for its Search engine, one that would rival the recently released and controversial ChatGPT from OpenAI. The company revealed this after a recent Google executive meeting that involved the likes of its CEO Sundar Pichai and AI head, Jeff Dean, that talked about the technology that the internet company already has, soon for development.
Employees from the Mountain View giant were concerned that it was behind the current AI trends to the likes of OpenAI despite already having a similar technology laying around.
And more focused on the business/vocational/corporate training worlds:
There are a lot of knowledge management, enterprise learning and enterprise search products on the market today, but what Sana believes it has struck on uniquely is a platform that combines all three to work together: a knowledge management-meets-enterprise-search-meets-e-learning platform.
Three sources briefed on OpenAI’s recent pitch to investors said the organization expects $200 million in revenue next year and $1 billion by 2024.
The forecast, first reported by Reuters, represents how some in Silicon Valley are betting the underlying technology will go far beyond splashy and sometimes flawed public demos.
“We’re going to see advances in 2023 that people two years ago would have expected in 2033. It’s going to be extremely important not just for Microsoft’s future, but for everyone’s future,” he said in an interview this week.
From DSC: I continue to think about the idea of wiping the slate completely clean. If we were to design a lifelong learning ecosystem, what would it look like? How could we apply Design Thinking to this new slate/canvas?
Perhaps we could start by purposefully creating more pathways to weave in and out of the various siloes — and then come back into the “silos” with new ideas, knowledge, and experiences:
PreK-12
Higher education
Vocational programs
Business and the corporate world
Government
Communities of practice
Other
Integrate apprenticeships, jobs, sabbaticals, rest, purpose, passions, intrinsic motivations, other into this lifelong learning ecosystem. Take one’s new learning back to one’s former silo(s) and improve things therein. Such a design would help keep curricula and learning/training environments up-to-date and relevant.
It would also allow people more pathways through their careers — and to keep learning while doing real-world projects. It would help people — and institutions— grow in many ways.
From DSC: I was watching a sermon the other day, and I’m always amazed when the pastor doesn’t need to read their notes (or hardly ever refers to them). And they can still do this in a much longer sermon too. Not me man.
It got me wondering about the idea of having a teleprompter on our future Augmented Reality (AR) glasses and/or on our Virtual Reality (VR) headsets. Or perhaps such functionality will be provided on our mobile devices as well (i.e., our smartphones, tablets, laptops, other) via cloud-based applications.
One could see one’s presentation, sermon, main points for the meeting, what charges are being brought against the defendant, etc. and the system would know to scroll down as you said the words (via Natural Language Processing (NLP)). If you went off script, the system would stop scrolling and you might need to scroll down manually or just begin where you left off.
For that matter, I suppose a faculty member could turn on and off a feed for an AI-based stream of content on where a topic is in the textbook. Or a CEO or University President could get prompted to refer to a particular section of the Strategic Plan. Hmmm…I don’t know…it might be too much cognitive load/overload…I’d have to try it out.
And/or perhaps this is a feature in our future videoconferencing applications.
But I just wanted to throw these ideas out there in case someone wanted to run with one or more of them.
Along these lines, see:
Tell me you’re not going to want a pair of #AR glasses ?
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
Seriously, #ChatGPT is going to change everything about how people gain access to legal information and guidance. Look at this. pic.twitter.com/BkxZlMxB9o
Out today! Catch the latest episode of Talk Justice for a look at creative ways to connect people with legal professionals and resources– by bus, kiosks and even a kayak! https://t.co/wApNohRJw3
Edging towards the end of the year, it is time for a summary of how digital health progressed in 2022. It is easy to get lost in the noise – I myself shared well over a thousand articles, studies and news items between January and the end of November 2022. Thus, just like in 2021, 2020 (and so on), I picked the 10 topics I believe will have the most significance in the future of healthcare.
9. Smart TVs Becoming A Remote Care Platform The concept of turning one’s TV into a remote care hub isn’t new. Back in 2012, researchers designed a remote health assistance system for the elderly to use through a TV set. But we are exploring this idea now as a major tech company has recently pushed for telehealth through TVs. In early 2022, electronics giant LG announced that its smart TVs will be equipped with the remote health platform Independa.
And in just a few months (late November) came a follow-up: a product called Carepoint TV Kit 200L, in beta testing now. Powered by Amwell’s Converge platform, the product is aimed at helping clinicians more easily engage with patients amid healthcare’s workforce shortage crisis.
Asynchronous telemedicine is one of those terms we will need to get used to in the coming years. Although it may sound alien, chances are you have been using some form of it for a while.
With the progress of digital health, especially due to the pandemic’s impact, remote care has become a popular approach in the healthcare setting. It can come in two forms: synchronous telemedicine and asynchronous telemedicine.
In other words, we have for the last century and a half in the knowledge economy been educating our students to become repositories of information—whether they’re lawyers or doctors [or engineers] and so forth. And then somebody pays them a great deal of money to extract some of that knowledge from their heads. What’s happening now is that’s being reposited in algorithms increasingly, and that’s only going to be more the case going forward, so that the most intelligent, capable medical diagnostician, I predict, will be a computer somewhere in the next 20 years.
What is the role of the doctor then? The doctor’s role is to be a knowledgeable interpreter of that algorithmic diagnosis—to check it, to make sure that there wasn’t a snafu, and to make sure that there is no social bias in the outcome. And also to help interpret that into a regimen for treatment and healing on the part of the patient in a human-connected, empathic way.
And [at Iowa Big], one of the very first questions that one of her teachers asked her was, ‘What makes you mad?’
…
The systems that we have for public education are becoming more rigidified, not more experimental and resilient. And they’re becoming increasingly non-functional. And I believe they’re going to face some sort of systemic collapse.
And here are several other items from the education space:
All Teacher Shortages Are Local, New Research Finds— from the74million.org by Kevin Mahnken In a study released [on 12/1/22], researchers show that teacher vacancy levels vary drastically between schools in the same communities
Excerpt:
K-12 teacher shortages — one of the most disputed questions in education policy today — are an undeniable reality in some communities, a newly released study indicates. But they are also a hyper-local phenomenon, the authors write, with fully staffed schools existing in close proximity to those that struggle to hire and retain teachers.
The paper, circulated Thursday through Brown University’s Annenberg Institute for School Reform, uses a combination of survey responses and statewide administrative records from Tennessee to create a framework for identifying how and where teacher shortages emerge.
The pandemic transformed the landscape of K-12 education. Some parents withdrew their kids from public school and placed them into private or home schools. Their reasons varied: Many preferred private schools that offered in-person instruction; others distrusted public schools’ pandemic precautions.
It’s not clear whether those trends will stick, and the factors are complex. So far, data show that since 2019, private enrollment is up, public enrollment is down and home schooling has become more popular. Families flocked to private and home schools at the greatest rate in a decade, according to American Community Survey estimates from the U.S. Census. The government projects that K-12 public school enrollment — already facing demographic pressures — will drop further to about 46 million students by fall 2030, according to the National Center for Education Statistics, reversing decades of growth.
Education is key to tackle prevalent challenges. I’m excited to join the European Education Summit in Brussels today to share insight on future-proofing our education systems. #EduSummitEUpic.twitter.com/4H9ZO45HT9
When Stephanie Harper decided to open Harper Learning Academy in Byram, Mississippi in August, her goal was to create a small, personalized educational setting in which her daughter would thrive. Conventional classroom environments weren’t a good match for Harper’s child. They also weren’t working well for the daughter of Harper’s colleague, Tekeeta Funchess. Harper and Funchess had been longtime teachers in the Jackson Public Schools before they left their jobs to provide educational consulting services to public school districts through the firm Harper founded in 2016.
As they worked together, they realized their daughters were experiencing similar challenges in standard school settings. “We’re mothers with children who learn differently who are trying to improve the system but realized that the system wasn’t working for our children,” said Harper, who is a certified teacher with a Ph.D. in education. They also suspected it wasn’t working for many other children as well.
From DSC: I received an email the other day re: aTytoCare Exam Kit.It said (with some emphasis added by me):
With a TytoCare Exam Kit connected to Spectrum Health’s 24/7 Virtual Urgent Care, you and your family can have peace of mind and a quick, accurate diagnosis and treatment plan whenever you need it without having to leave your home.
Your TytoCare Exam Kit will allow your provider to listen to your lungs, look inside your ears or throat, check your temperature, and more during a virtual visit.
Why TytoCare?
Convenience – With a TytoCare Exam Kit and our 24/7/365 On-Demand Virtual Urgent Care there is no drive, no waiting room, no waiting for an appointment.
Peace of Mind – Stop debating about whether symptoms are serious enough to do something about them.
Savings – Without the cost of gas or taking off work, you get the reliable exams and diagnosis you need. With a Virtual Urgent Care visit you’ll never pay more than $50. That’s cheaper than an in-person urgent care visit, but the same level of care.
From DSC:
It made me reflect on what #telehealth has morphed into these days. Then it made me wonder (again), what #telelegal might become in the next few years…? Hmmm. I hope the legal field can learn from the healthcare industry. It could likely bring more access to justice (#A2J), increased productivity (for several of the parties involved), as well as convenience, peace of mind, and cost savings.
Drew Builds Stuff has an office in the basement of his parents’ house. Because of its subterranean location, it doesn’t get much light. To brighten things up, he built a window wall out of three 75? 4K TVs, resulting in a 12-foot diagonal image. Since he can load up any video footage, he can pretend to be anywhere on Earth.
From DSC: Perhaps some ideas here for learning spaces!
OpenAI has built the best Minecraft-playing bot yet by making it watch 70,000 hours of video of people playing the popular computer game. It showcases a powerful new technique that could be used to train machines to carry out a wide range of tasks by binging on sites like YouTube, a vast and untapped source of training data.
The Minecraft AI learned to perform complicated sequences of keyboard and mouse clicks to complete tasks in the game, such as chopping down trees and crafting tools. It’s the first bot that can craft so-called diamond tools, a task that typically takes good human players 20 minutes of high-speed clicking—or around 24,000 actions.
The result is a breakthrough for a technique known as imitation learning, in which neural networks are trained to perform tasks by watching humans do them.
…
The team’s approach, called Video Pre-Training (VPT), gets around the bottleneck in imitation learning by training another neural network to label videos automatically.
“Most language learning software can help with the beginning part of learning basic vocabulary and grammar, but gaining any degree of fluency requires speaking out loud in an interactive environment,” Zwick told TechCrunch in an email interview. “To date, the only way people can get that sort of practice is through human tutors, which can also be expensive, difficult and intimidating.”
Speak’s solution is a collection of interactive speaking experiences that allow learners to practice conversing in English. Through the platform, users can hold open-ended conversations with an “AI tutor” on a range of topics while receiving feedback on their pronunciation, grammar and vocabulary.
It’s one of the top education apps in Korea on the iOS App Store, with over 15 million lessons started annually, 100,000 active subscribers and “double-digit million” annual recurring revenue.
If you last checked in on AI image makers a month ago & thought “that is a fun toy, but is far from useful…” Well, in just the last week or so two of the major AI systems updated.
You can now generate a solid image in one try. For example, “otter on a plane using wifi” 1st try: pic.twitter.com/DhiYeVMEEV
So, is this a cool development that will become a fun tool for many of us to play around with in the future? Sure. Will people use this in their work? Possibly. Will it disrupt artists across the board? Unlikely. There might be a few places where really generic artwork is the norm and the people that were paid very little to crank them out will be paid very little to input prompts. Look, PhotoShop and asset libraries made creating company logos very, very easy a long time ago. But people still don’t want to take the 30 minutes it takes to put one together, because thinking through all the options is not their thing. You still have to think through those options to enter an AI prompt. And people just want to leave that part to the artists. The same thing was true about the printing press. Hundreds of years of innovation has taught us that the hard part of the creation of art is the human coming up with the ideas, not the tools that create the art.
A quick comment from DSC: Possibly, at least in some cases. But I’ve seen enough home-grown, poorly-designed graphics and logos to make me wonder if that will be the case.
How to Teach With Deep Fake Technology — from techlearning.com by Erik Ofgang Despite the scary headlines, deep fake technology can be a powerful teaching tool
Excerpt:
The very concept of teaching with deep fake technology may be unsettling to some. After all, deep fake technology, which utilizes AI and machine learning and can alter videos and animate photographs in a manner that appears realistic, has frequently been covered in a negative light. The technology can be used to violate privacy and create fake videos of real people.
However, while these potential abuses of the technology are real and concerning that doesn’t mean we should turn a blind eye to the technology’s potential when using it responsibly, says Jaime Donally, a well-known immersive learning expert.
From DSC: I’m still not sure about this one…but I’ll try to be open to the possibilities here.
Recently, we spoke with three more participants of the AI Explorations program to learn about its ongoing impact in K-12 classrooms. Here, they share how the program is helping their districts implement AI curriculum with an eye toward equity in the classroom.
A hitherto stealth legal AI startup emerged from the shadows today with news via TechCrunch that it has raised $5 million in funding led by the startup fund of OpenAI, the company that developed advanced neural network AI systems such as GPT-3 and DALL-E 2.
The startup, called Harvey, will build on the GPT-3 technology to enable lawyers to create legal documents or perform legal research by providing simple instructions using natural language.
The company was founded by Winston Weinberg, formerly an associate at law firm O’Melveny & Myers, and Gabriel Pereyra, formerly a research scientist at DeepMind and most recently a machine learning engineer at Meta AI.
