Explore Breakthroughs in AI, Accelerated Computing, and Beyond at GTC — from nvidia.com
The Conference for the Era of AI and the Metaverse
On 03/18/2023,
in adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, colleges, community colleges, education, education technology, emerging technologies, experimentation, faculty, future, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, K-12 related, law schools, learning, learning ecosystem, Learning Experience Design, pedagogy, productivity / tips and tricks, professional development, science, skills, teachers, teaching & learning, universities, vision/possibilities,
by Daniel Christian
On the K-12 side of things:
6 Ways to Use ChatGPT to Save Time — from edutopia.org by Todd Finley
Teachers can use the artificial intelligence tool to effectively automate some routine tasks.
Excerpt:
In the paragraphs that follow, I’ve divided these tasks into the following categories: planning instruction, handouts and materials, differentiation, correspondence, assessment, and writing instruction and feedback. Welcome to the revolution.
Lesson plans: Ask ChatGPT to write a lesson plan on, say, Westward Expansion. The tool composes assessments, activities, scaffolding, and objectives. Want that in the form of problem-based learning or revised for a flipped classroom? ChatGPT can adjust the lesson plan according to your instructions.
I’m a high school math and science teacher who uses ChatGPT, and it’s made my job much easier — from businessinsider-com.cdn.ampproject.org by Aaron Mok; with thanks to Robert Gibson on LinkedIn for this resource
Excerpt:
- Shannon Ahern, a high school math and science teacher, was afraid that ChatGPT would take her job.
- But her mind changed after she started using the AI for class prep, which saved her hours of time.
- Here’s how Ahern is using ChatGPT to make her job easier, as told to Insider’s Aaron Mok.
On the higher education side of things:
Using AI to make teaching easier & more impactful — from oneusefulthing.substack.com by Ethan Mollick
Here are five strategies and prompts that work for GPT-3.5 & GPT-4
Excerpt:
But one thing that is not changing is the best way for people to learn. We have made large advances in recent years in understanding pedagogy – the science of learning. We know some of the most effective techniques for making sure material sticks and that it can be retrieved and used when needed most.
Unfortunately, many of these advanced pedagogical techniques are time-consuming to prepare, and many instructors are often overworked and do not have the resources and time to add them to their teaching repertoire. But AI can help. In the rush to deliver AI benefits directly to students, the role of teachers is often overlooked.
Teaching: What You Need to Know About ChatGPT — from chronicle.com by Beth McMurtrie
Excerpt:
Digital literacy is more important than ever. Artificial-intelligence tools, and generative AI in particular, raise a host of ethical, political, economic, and social questions. Plus, this tech is soon going to be everywhere, including students’ future professions. (The technology behind ChatGPT, in fact, just got an upgrade this week.) Colleges need to figure out how to graduate digitally savvy students in all disciplines.
“The integration of technology into our lives is so pervasive that the restriction of education about AI to the computer scientists and the computer engineers makes no more sense than the restriction of taking English classes by English majors,” said Weber.
On 03/16/2023,
in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, change, education, education technology, emerging technologies, engagement / engaging students, experimentation, future, game-changing environment, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, languages and translation, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, vendors,
by Daniel Christian
HOW DUOLINGO’S AI LEARNS WHAT YOU NEED TO LEARN — from spectrum.ieee.org by Klinton Bicknell, Claire Brust, and Burr Settles
The AI that powers the language-learning app today could disrupt education tomorrow
Excerpt:
It’s lunchtime when your phone pings you with a green owl who cheerily reminds you to “Keep Duo Happy!” It’s a nudge from Duolingo, the popular language-learning app, whose algorithms know you’re most likely to do your 5 minutes of Spanish practice at this time of day. The app chooses its notification words based on what has worked for you in the past and the specifics of your recent achievements, adding a dash of attention-catching novelty. When you open the app, the lesson that’s queued up is calibrated for your skill level, and it includes a review of some words and concepts you flubbed during your last session.
The AI systems we continue to refine are necessary to scale the learning experience beyond the more than 50 million active learners who currently complete about 1 billion exercises per day on the platform.
Although Duolingo is known as a language-learning app, the company’s ambitions go further. We recently launched apps covering childhood literacy and third-grade mathematics, and these expansions are just the beginning. We hope that anyone who wants help with academic learning will one day be able to turn to the friendly green owl in their pocket who hoots at them, “Ready for your daily lesson?”
Also relevant/see:
Duolingo turned to OpenAI’s GPT-4 to advance the product with two new features: Role Play, an AI conversation partner, and Explain my Answer, which breaks down the rules when you make a mistake, in a new subscription tier called Duolingo Max.
“We wanted AI-powered features that were deeply integrated into the app and leveraged the gamified aspect of Duolingo that our learners love,” says Bodge.
Also relevant/see:
The following is a quote from Donald Clark’s posting on LinkedIn.com today:
The whole idea of AI as a useful teacher is here. Honestly it’s astounding. They have provided a Socratic approach to an algebra problem that is totally on point. Most people learn in the absence of a teacher or lecturer. They need constant scaffolding, someone to help them move forward, with feedback. This changes our whole relationship with what we need to know, and how we get to know it. Its reasoning ability is also off the scale.
We now have human teachers, human learners but also AI teachers and AI that learns. It used to be a diad, it is now a tetrad – that is the basis of the new pedAIgogy.
Personalised, tutor-led learning, in any subject, anywhere, at any time for anyone. That has suddenly become real.
Also relevant/see:
Introducing Duolingo Max, a learning experience powered by GPT-4 — from blog.duolingo.com
Excerpts:
We believe that AI and education make a great duo, and we’ve leveraged AI to help us deliver highly-personalized language lessons, affordable and accessible English proficiency testing, and more. Our mission to make high-quality education available to everyone in the world is made possible by advanced AI technology.
Explain My Answer offers learners the chance to learn more about their response in a lesson (whether their answer was correct or incorrect!)
…
Roleplay allows learners to practice real-world conversation skills with world characters in the app.
On 03/16/2023,
in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, experimentation, future, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, learning ecosystem, Learning Experience Design, multimedia, training / L&D, workplace,
by Daniel Christian
Six Important Disciplines for Using AI in Learning & Development — from linkedin.com by Josh Cavalier
Excerpts (emphasis DSC):
In practice, L&D professionals must responsibly use AI-based tools. AI outputs that introduce bias or falsehoods may adversely affect the learning process of individual associates as well as the company’s overall efficiency. A human must review all content before being implemented in a learning solution.
…
AI will revolutionize corporate learning and development because of the ability to analyze and process large amounts of data. These capabilities will enable learners to acquire knowledge and skills more efficiently while providing personalized learning pathways customized to their current skill levels and goals.
For example, AI-powered chatbots can provide immediate feedback to front-line sales looking for specific client solutions or trying to learn about new products. By fine-tuning models, AI can ingest vendor opportunities and dynamically priced products at scale, allowing a sales team to focus on data-driven solutions for their customers.
The creation of educational media will be automated through generative AI, including training videos, podcasts, and, eventually, eLearning courses. This new reality will level the playing field for instructional designers needing more media creation skills, ultimately allowing Learning & Development to create personalized, immersive learning experiences representing the entire learning journey.
Also relevant/see:
How artificial intelligence can support knowledge management in organizations — from realkm.com by Bruce Boyes
Examples of use cases:
- Forecast sales probabilities
- Discover organization inefficiencies by analyzing CRM records
- Organize and summarize legal precedents relevant to a new case
- Retrieve dispersed nuggets of information related to a troubleshooting situation
- Facilitate feedback and peer review on communication systems (e.g., Slack)
- Facilitate real-time smart sharing between marketing channels and sales pipelines
- Find and apply question-answer pairs in online manuals to manage service knowledge
- Provide more human-centered and accessible applications of knowledge through chatbots
On 03/06/2023,
in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, digital learning, education, education technology, emerging technologies, engagement / engaging students, experimentation, game-changing environment, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, interactivity, K-12 related, languages and translation, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, more voice more choice more control, participation, personalized/customized learning, platforms, productivity / tips and tricks, story, storytelling, student-related, teachers, teaching & learning, tools, vendors, virtual tutoring, vision/possibilities,
by Daniel Christian
Introducing Q-Chat, the world’s first AI tutor built with OpenAI’s ChatGPT — from quizlet.com by Lex Bayer
Excerpt:
Modeled on research demonstrating that the most effective form of learning is one-on-one tutoring1, Q-Chat offers students the experience of interacting with a personal AI tutor in an effective and conversational way. Whether they’re learning French vocabulary or Roman History, Q-Chat engages students with adaptive questions based on relevant study materials delivered through a fun chat experience. Pulling from Quizlet’s massive educational content library and using the question-based Socratic method to promote active learning, Q-Chat has the ability to test a student’s knowledge of educational content, ask in-depth questions to get at underlying concepts, test reading comprehension, help students learn a language and encourage students on healthy learning habits.
On 03/06/2023,
in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, change, Daniel S. Christian, emerging technologies, experimentation, future, hearts -- matters of the heart, innovation, intelligent systems, learning ecosystem, lifelong learning, more voice more choice more control, relationships, research, robotics, society, sociology, surviving, the downsides of technology, tools, workplace,
by Daniel Christian
How ChatGPT is going to change the future of work and our approach to education — from livemint.com
From DSC:
I thought that the article made a good point when it asserted:
The pace of technological advancement is booming aggressively and conversations around ChatGPT snatching away jobs are becoming more and more frequent. The future of work is definitely going to change and that makes it clear that the approach toward education is also demanding a big shift.
…
A report from Dell suggests that 85% of jobs that will be around in 2030 do not exist yet. The fact becomes important as it showcases that the jobs are not going to vanish, they will just change and most of the jobs by 2030 will be new.
The Future of Human Agency — from pewresearch.org by Janna Anderson and Lee Rainie
Excerpt:
Thus the question: What is the future of human agency? Pew Research Center and Elon University’s Imagining the Internet Center asked experts to share their insights on this; 540 technology innovators, developers, business and policy leaders, researchers, academics and activists responded. Specifically, they were asked:
By 2035, will smart machines, bots and systems powered by artificial intelligence be designed to allow humans to easily be in control of most tech-aided decision-making that is relevant to their lives?
The results of this nonscientific canvassing:
-
- 56% of these experts agreed with the statement that by 2035 smart machines, bots and systems will not be designed to allow humans to easily be in control of most tech-aided decision-making.
- 44% said they agreed with the statement that by 2035 smart machines, bots and systems will be designed to allow humans to easily be in control of most tech-aided decision-making.
What are the things humans really want agency over? When will they be comfortable turning to AI to help them make decisions? And under what circumstances will they be willing to outsource decisions altogether to digital systems?
The next big threat to AI might already be lurking on the web — from zdnet.com by Danny Palmer; via Sam DeBrule
Artificial intelligence experts warn attacks against datasets used to train machine-learning tools are worryingly cheap and could have major consequences.
Excerpts:
Data poisoning occurs when attackers tamper with the training data used to create deep-learning models. This action means it’s possible to affect the decisions that the AI makes in a way that is hard to track.
By secretly altering the source information used to train machine-learning algorithms, data-poisoning attacks have the potential to be extremely powerful because the AI will be learning from incorrect data and could make ‘wrong’ decisions that have significant consequences.
Why AI Won’t Cause Unemployment — from pmarca.substack.com by Marc Andreessen
Excerpt:
Normally I would make the standard arguments against technologically-driven unemployment — see good summaries by Henry Hazlitt (chapter 7) and Frédéric Bastiat (his metaphor directly relevant to AI). And I will come back and make those arguments soon. But I don’t even think the standand arguments are needed, since another problem will block the progress of AI across most of the economy first.
Which is: AI is already illegal for most of the economy, and will be for virtually all of the economy.
How do I know that? Because technology is already illegal in most of the economy, and that is becoming steadily more true over time.
How do I know that? Because:
From DSC:
And for me, it boils down to an inconvenient truth: What’s the state of our hearts and minds?
AI, ChatGPT, Large Language Models (LLMs), and the like are tools. How we use such tools varies upon what’s going on in our hearts and minds. A fork can be used to eat food. It can also be used as a weapon. I don’t mean to be so blunt, but I can’t think of another way to say it right now.
- Do we care about one another…really?
- Has capitalism gone astray?
- Have our hearts, our thinking, and/or our mindsets gone astray?
- Do the products we create help or hurt others? It seems like too many times our perspective is, “We will sell whatever they will buy, regardless of its impact on others — as long as it makes us money and gives us the standard of living that we want.” Perhaps we could poll some former executives from Philip Morris on this topic.
- Or we will develop this new technology because we can develop this new technology. Who gives a rat’s tail about the ramifications of it?
On 03/01/2023,
in change, education, education technology, future, ideas, innovation, intelligent systems, intelligent tutoring, K-12 related, learning agents, learning ecosystem, Learning Experience Design, student-related, teachers, technology (general), youth,
by Daniel Christian
Unboxing the Future of Education:“A Sneak Peek into a Day in the Life of a Student in 2040” — from thinklearningstudio.org by Russell Cailey
Excerpts:
To explore this question, I collaborated with my new friend Chat GPT to create a concept of what a day in the life of a 2040 student might look like. The results were fascinating, providing a glimpse into the possible future of education.
In response to our collaborative moment, I would like to pose three guiding questions to the audience:
How might we re-imagine education to create a more holistic and meaningful learning experience for our students as we move forward towards 2040?
How might we cultivate a sense of curiosity, wonder, and creativity in our students, and how might this foster a deeper engagement with learning?
How might we expand the definition of “education” beyond the confines of the classroom and foster lifelong learning and growth in our students?
From DSC:
I appreciated this interesting thought experiment re: the future of learning in the year 2040. I appreciate Russell’s statement where he says:
To conduct a thorough and accurate foresight project, it is crucial to explore multiple potential futures. While the scenario presented here is intended to be playful and imaginative, it represents only one possible outcome among many. I encourage readers to share their scenarios and perspectives in the comments, as this will help to create a more robust and diverse exploration of the future.
On 02/28/2023,
in 21st century, 24x7x365 access, adult learning, business, change, corporate / business world, corporate universities / corporate training, ideas, innovation, instructional design, intelligent systems, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, training / L&D, workplace,
by Daniel Christian
Donald Clark’s recent thoughts regarding how ChatGPT is and will impact the Learning & Development world — from linkedin.com by Donald Clark
Excerpts:
Fascinating chat with three people heading up L&D in a major international company. AI has led them to completely re-evaluate their strategy. Key concepts were performance, process and data. What I liked was their focus on that oft-quoted issue of aligning L&D with the business goals – unlike most, they really meant it.
The technology that puts that in the hands of learners has arrived. Performance support will be a teacher or trainer at your fingertips.
We also talked about prompting, the need to see it as ‘CHAT’gpt, an iterative process, where you need to understand how to speak to the tech. It’s a bit like speaking to an alien from space, as it has no comprehension or consciousness but it is still competent and smart. We have put together 100 prompt tips for learning professionals and taking it out on the road soon. All good in the hood.
Also from Donald Clark, see:
OpenAI releases massive wave of innovation — from donaldclarkplanb.blogspot.com
Excerpt:
With LLMs, OpenAI’s ChatGPT, based on GPT 3.5, started a race where:
- AI is integrated into mainstream tools like Teams
- Larger LLMs are being built
- LLMs are changing ‘search’
- LLMs are being used on a global scale in real businesses
- Real businesses are being built on the back of LLMs
- LLMs as part of ensembes of other tools are being researched to solve accuracy, updatability & provenance issues
- Open, transparent LLMs (Bloom) are being built
On 02/10/2023,
in 21st century, 24x7x365 access, Africa, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, Australia, Canada, change, changing business models, cloud-based computing / apps / other cloud-related, computer science, content development, aggregation, repositories, Daniel S. Christian, disruption, emerging technologies, Europe, future, game-changing environment, generational differences, global / globalization, human-computer interaction (HCI), innovation, intelligent systems, intelligent tutoring, internet, pace of change, platforms, society, tools, UK, United States, vision/possibilities,
by Daniel Christian
ChatGPT sets record for fastest-growing user base – analyst note — from reuters.com by Krystal Hu
Excerpt (emphasis DSC):
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…
..and how we struggle with that kind of pace.
On 02/06/2023,
in adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, bots, colleges, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital audio, education, education technology, emerging technologies, faculty, higher education, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, journalism, K-12 related, languages and translation, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, learning theories, liberal arts, memory, Natural Language Processing (NLP), open courseware and systems, pedagogy, productivity / tips and tricks, psychology, skills, streams of content, teachers, teaching & learning, tools, training / L&D, vision/possibilities, voice recognition / voice enabled interfaces,
by Daniel Christian
Introducing: ChatGPT Edu-Mega-Prompts — from drphilippahardman.substack.com by Dr. Philippa Hardman; with thanks to Ray Schroeder out on LinkedIn for this resource
How to combine the power of AI + learning science to improve your efficiency & effectiveness as an educator
From DSC:
Before relaying some excerpts, I want to say that I get the gist of what Dr. Hardman is saying re: quizzes. But I’m surprised to hear she had so many pedagogical concerns with quizzes. I, too, would like to see quizzes used as an instrument of learning and to practice recall — and not just for assessment. But I would give quizzes a higher thumbs up than what she did. I think she was also trying to say that quizzes don’t always identify misconceptions or inaccurate foundational information.
Excerpts:
The Bad News: Most AI technologies that have been built specifically for educators in the last few years and months imitate and threaten to spread the use of broken instructional practices (i.e. content + quiz).
The Good News: Armed with prompts which are carefully crafted to ask the right thing in the right way, educators can use AI like GPT3 to improve the effectiveness of their instructional practices.
As is always the case, ChatGPT is your assistant. If you’re not happy with the result, you can edit and refine it using your expertise, either alone or through further conversation with ChatGPT.
For example, once the first response is generated, you can ask ChatGPT to make the activity more or less complex, to change the scenario and/or suggest more or different resources – the options are endless.
Philippa recommended checking out Rob Lennon’s streams of content. Here’s an example from his Twitter account:
Everyone’s using ChatGPT.
But almost everyone’s STUCK in beginner mode.
10 techniques to get massively ahead with AI:
(cut-and-paste these prompts?)
— Rob Lennon ? | Audience Growth (@thatroblennon) January 3, 2023
Also relevant/see:
3 Trends That May Unlock AI’s Potential for L&D in 2023 — from learningguild.com by Juan Naranjo
Excerpts:
AI-assisted design and development work
This is the trend most likely to have a dramatic evolution this year.
…
Solutions like large language models, speech generators, content generators, image generators, translation tools, transcription tools, and video generators, among many others, will transform the way IDs create the learning experiences our organizations use. Two examples are:
1. IDs will be doing more curation and less creation:
- Many IDs will start pulling raw material from content generators (built using natural language processing platforms like Open AI’s GPT-3, Microsoft’s LUIS, IBM’s Watson, Google’s BERT, etc.) to obtain ideas and drafts that they can then clean up and add to the assets they are assembling. As technology advances, the output from these platforms will be more suitable to become final drafts, and the curation and clean-up tasks will be faster and easier.
- Then, the designer can leverage a solution like DALL-E 2 (or a product developed based on it) to obtain visuals that can (or not) be modified with programs like Illustrator or Photoshop (see image below for Dall-E’s “Cubist interpretation of AI and brain science.”
2. IDs will spend less, and in some cases no time at all, creating learning pathways
AI engines contained in LXPs and other platforms will select the right courses for employees and guide these learners from their current level of knowledge and skill to their goal state with substantially less human intervention.
The Creator of ChatGPT Thinks AI Should Be Regulated — from time.com by John Simons
Excerpts:
Somehow, Mira Murati can forthrightly discuss the dangers of AI while making you feel like it’s all going to be OK.
…
A growing number of leaders in the field are warning of the dangers of AI. Do you have any misgivings about the technology?
This is a unique moment in time where we do have agency in how it shapes society. And it goes both ways: the technology shapes us and we shape it. There are a lot of hard problems to figure out. How do you get the model to do the thing that you want it to do, and how you make sure it’s aligned with human intention and ultimately in service of humanity? There are also a ton of questions around societal impact, and there are a lot of ethical and philosophical questions that we need to consider. And it’s important that we bring in different voices, like philosophers, social scientists, artists, and people from the humanities.
Whispers of A.I.’s Modular Future — from newyorker.com by James Somers; via Sam DeBrule
Excerpts:
Gerganov adapted it from a program called Whisper, released in September by OpenAI, the same organization behind ChatGPTand dall-e. Whisper transcribes speech in more than ninety languages. In some of them, the software is capable of superhuman performance—that is, it can actually parse what somebody’s saying better than a human can.
…
Until recently, world-beating A.I.s like Whisper were the exclusive province of the big tech firms that developed them.
Ever since I’ve had tape to type up—lectures to transcribe, interviews to write down—I’ve dreamed of a program that would do it for me. The transcription process took so long, requiring so many small rewindings, that my hands and back would cramp. As a journalist, knowing what awaited me probably warped my reporting: instead of meeting someone in person with a tape recorder, it often seemed easier just to talk on the phone, typing up the good parts in the moment.
From DSC:
Journalism majors — and even seasoned journalists — should keep an eye on this type of application, as it will save them a significant amount of time and/or money.
Journalism majors — and even seasoned journalists — should keep an eye on this type of application, as it will save them a significant amount of time and/or money.
Microsoft Teams Premium: Cut costs and add AI-powered productivity — from microsoft.com by Nicole Herskowitz
Excerpt:
Built on the familiar, all-in-one collaborative experience of Microsoft Teams, Teams Premium brings the latest technologies, including Large Language Models powered by OpenAI’s GPT-3.5, to make meetings more intelligent, personalized, and protected—whether it’s one-on-one, large meetings, virtual appointments, or webinars.