learning

“AutoGPT might be the next big step in AI”; “software agents that use natural language to simulate human behavior” + other items re: AI

On 04/13/2023, in 21st century, architecture, Artificial Intelligence/Agents/LLMs/and Related, computer science, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, design, education technology, emerging technologies, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, learning, learning ecosystem, learning spaces, Natural Language Processing (NLP), simulations, skills, society, tools, training / L&D, vision/possibilities, voice recognition / voice enabled interfaces, by Daniel Christian

AutoGPT might be the next big step in AI.

Here’s why Karpathy recently said “AutoGPT is the next frontier of prompt engineering”

AutoGPT is the equivalent of giving GPT-based models a memory and a body. You can now give a task to an AI agent and have it autonomously come up… pic.twitter.com/mYIJm2IEZy

— Lior? (@AlphaSignalAI) April 11, 2023

AutoGPT, less noise more signal

This is where you should pay attention

Here is why ?

pic.twitter.com/2For7bPOID

— Linus (???) (@LinusEkenstam) April 11, 2023

AutoGPT is the next BIG thing in AI.

Seems like a new *groundbreaking* update comes out every hour.

Here are a few examples just from the past 24 hours: ?

— Barsee ? (@heyBarsee) April 12, 2023

AutoGPT is the next big thing in AI— from therundown.ai by Rowan Cheung

Excerpt:

AutoGPT has been making waves on the internet recently, trending on both GitHub and Twitter. If you thought ChatGPT was crazy, AutoGPT is about to blow your mind.

AutoGPT creates AI “agents” that operate automatically on their own and complete tasks for you. In case you’ve missed our previous issues covering it, here’s a quick rundown:

- It’s open-sourced [code]
- It works by chaining together LLM “thoughts”
- It has internet access, long-term and short-term memory, access to popular websites, and file storage

.

From DSC:
I want to highlight that paper from Stanford, as I’ve seen it cited several times recently:.

Generative Agents: Interactive Simulacra of Human Behavior
Joon Sung Park, Joseph C. O’Brien, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, Michael S. Bernstein
.

From DSC:
And for a rather fun idea/application of these emerging technologies, see:

Quick Prompt: Kitchen Design — from linusekenstam.substack.com by Linus Ekenstam
Midjourney Prompt. Create elegant kitchen photos using this starting prompt. Make it your own, experiment, add, remove and tinker to create new ideas.

…which made me wonder how we might use these techs in the development of new learning spaces (or in renovating current learning spaces).

From DSC:
On a much different — but still potential — note, also see:

A.I. could lead to a ‘nuclear-level catastrophe’ according to a third of researchers, a new Stanford report finds — from fortune.com by Tristan Bove

Excerpt:

Many experts in A.I. and computer science say the technology is likely a watershed moment for human society. But 36% don’t mean that as a positive, warning that decisions made by A.I. could lead to “nuclear-level catastrophe,” according to researchers surveyed in an annual report on the technology by Stanford University’s Institute for Human-Centered A.I., published earlier this month.

AutoGPTs are improving at a blazingly fast speed and could soon transform the face of business.

Here's what you need to know:

— Nathan Lands (@NathanLands) April 12, 2023

Credentialed Learning For All [gettingsmart.com]

On 04/13/2023, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, career development, colleges, communities of practice, community colleges, corporate / business world, corporate universities / corporate training, credentialing, education, education reform, experimentation, future, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, ideas, informal learning, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, lifelong learning, pathways, personalized/customized learning, platforms, professional development, reinvent, skills, society, student-related, training / L&D, United States, universities, vendors, virtual K-12 schools, vision/possibilities, workplace, youth, by Daniel Christian

Credentialed Learning For All — from gettingsmart.com

Vision

Learning happens throughout life and is not isolated to the K-12 or higher education sectors. Yet, often, validations of learning only happen in these specific areas. The system of evaluation based on courses, grades, and credit serves as a poor proxy for communicating skills given the variation in course content, grade inflation, and inclusion of participation and extra credit within course grades.

Credentialed learning provides a way to accurately document human capability for all learners throughout their life. A lifetime credentialed learning ecosystem provides better granularity around learning, better documentation of the learning, and more relevance for both the credential recipient and reviewer. This improves the match between higher education and/or employment with the individual, while also providing a more clear and accurate lifetime learning pathway.

With a fully-credentialed system, individuals can own well-documented evidence of a lifetime of learning and choose what and when to share this data. This technology enables every learner to have more opportunities for finding the best career match without today’s existing barriers around cost, access, and proxies.

Addendum on 4/28/23 — speaking of credentials:

First Rung — from the-job.beehiiv.com by Paul Fain
New research shows stacking credentials pays off for low-income learners.

Stacking credentials pays off for many low-income students, new research finds, but only if learners move up the education ladder. Also, Kansas is hoping a new grant program will attract more companies to participate in microinternships.

The future of education in a world of AI — from oneusefulthing.org by Ethan Mollick
A positive vision for the transformation to come

Excerpt:

Imagine introducing high-quality AI tutors into the flipped classroom model. These AI-powered systems have the potential to significantly enhance the learning experience for students and make flipped classrooms even more effective. They provide personalized learning, where AI tutors can tailor instruction to each student’s unique needs while continually adjusting content based on performance. This means that students can engage with the content at home more effectively, ensuring they come to class better prepared and ready to dive into hands-on activities or discussions.

With AI tutors taking care of some of the content delivery outside of class, teachers can devote more time to fostering meaningful interactions with their students during class. They can also use insights from the AI tutors to identify areas where students might need extra support or guidance, enabling them to provide more personalized and effective instruction. And with AI assistance, they can design better active learning opportunities in class to make sure learnings stick.

Also relevant/see:

ChatGPT is going to change education, not destroy it — from technologyreview.com by Will Douglas Heaven
The narrative around cheating students doesn’t tell the whole story. Meet the teachers who think generative AI could actually make learning better.

Advanced chatbots could be used as powerful classroom aids that make lessons more interactive, teach students media literacy, generate personalized lesson plans, save teachers time on admin, and more.

Will ChatGPT Change How Professors Assess Learning? — from chronicle.com by Becky Supiano
It won’t be easy without their colleges’ support.

What the Past Can Teach Us About the Future of AI and Education — from campustechnology.com by Dr. David Wiley
Current attitudes toward generative AI hearken back to early skepticism about the impact of the internet on education. Both then and now, technology has created challenges but also opportunities that can’t be ignored.

The Future of Teaching is Here — from samchaltain.substack.com by Sam Chaltain

Excerpts (emphasis DSC):

It’s not sexy, but I feel like Sal Khan’s recent video introducing his Academy’s GPT-fueled AI tutor augurs the future of the teaching profession — and not just at Khan Academy.
…
The tutor is already fully capable of offering personalized feedback, hints and suggestions for just about any topic for which there are already clearly established answers — from solving math equations with parentheses to digesting John Locke’s political philosophy.
…
But now we’ve entered a new chapter — dare I say, a Technological Singularity (20 years early) — one in which Chat-GPT in particular, and the daily flood of AI tools more generally, has changed the nature of the teacher/student relationship even more irrevocably than before.

As a result, from this day forward, the job of a teacher REALLY needs to stop being about transmission.

So what should it start being instead?
…
In which case, the future of teaching is not about transmission, but it is about the other trans- words: transmedia exploration, transdisciplinary weaving, transcultural understanding, and, yes, personal and societal transformation.

What Is the Secret Sauce for Deeper Learning? [Gonzalez]

On 04/03/2023, in art, creativity, drama/theater, education, education reform, formal learning, ideas, informal learning, K-12 related, learning, learning ecosystem, Learning Experience Design, learning preferences, more voice more choice more control, by Daniel Christian

What Is the Secret Sauce for Deeper Learning? — from cultofpedagogy.com by Jennifer Gonzalez

Excerpt:

One place that was a consistent source of deep learning was what Fine and Mehta referred to as “the periphery,” elective classes like art and robotics and extracurriculars like debate and athletics that are outside of what we consider to be the core academic classes. “Nobody talks very much about what’s going on in those spaces,” Fine says, “and yet they were the places where we saw the richest learning happening.” In these spaces, much of what they call the “grammar” of school is different: Students are there by choice, they have opportunities for apprenticeship and leadership, they can specialize in a subdomain of the field, and there’s usually a real product being produced for an authentic audience.

In the book, the authors used a school theater program as an example of this kind of learning at the periphery.

Learners need: More voice. More choice. More control. -- this image was created by Daniel Christian

Why some college professors are adopting ChatGPT AI as quickly as students — from cnbc.com by Carolyn Chun

Key Points:

A recent analysis by researchers at NYU, Princeton and the Wharton School finds that many of the jobs that will be most “exposed” to generative AI such as ChatGPT are in the college teaching profession.
One of the first narratives to emerge from the sudden explosion in usage of ChatGPT is the risk of students cheating on writing assignments.
But use by college teachers is growing quickly too, and adoption by educators may be critical to making the case that AI will augment the jobs humans are doing rather than replace them.

Also relevant/see:

The Secret to Great Learning Design? Focus on Problems, not Solutions — from drphilippahardman.substack.com by Dr. Philippa Hardman
What a recent resurgence of research into problem-based learning has taught us about the value & impact of problem-based approaches

Excerpts:

Problem-based learning is an instructional approach that engages students in active, collaborative, and self-directed learning by exploring complex, real-world problems (rather than sitting and listening to a stage on the stage).

In a Problem-based learning scenario, students work in small groups and, under the guidance of a facilitator or instructor, identify, research, and analyse a problem before proposing and evaluating potential solutions and reaching a resolution.
…
Here are five of the most interesting research projects published on problem-based learning in the last few months:

To help new students adapt, some colleges are eliminating grades [Marcus]

On 03/28/2023, in assessment, change, colleges, credentialing, experimentation, higher education, ideas, learning, learning ecosystem, Learning Experience Design, liberal arts, student-related, teaching & learning, United States, universities, by Daniel Christian

To help new students adapt, some colleges are eliminating grades — from npr.org by Jon Marcus

Excerpt (emphasis DSC):

Experiences like these are among the reasons behind a growing movement to stop assigning conventional A through F letter grades to first-year college students and, sometimes, upperclassmen.

Called “un-grading,” the idea is meant to ease the transition to higher education — especially for freshmen who are the first in their families to go to college or who weren’t well prepared for college-level work in high school and need more time to master it.

But advocates say the most important reason to adopt un-grading is that students have become so preoccupied with grades, they aren’t actually learning.

We Can’t Keep ChatGPT Out of the Classroom, so Let’s Address the ‘Why’ Behind Our Fears [Domínguez]

On 03/24/2023, in Artificial Intelligence/Agents/LLMs/and Related, education, education technology, ideas, instructional design, K-12 related, learning, learning ecosystem, teachers, trends, writing, youth, by Daniel Christian

We Can’t Keep ChatGPT Out of the Classroom, so Let’s Address the ‘Why’ Behind Our Fears — from edsurge.com by Alice Domínguez

Excerpt:

ChatGPT offers us an opportunity to address our fears, release our fixation on preventing cheating and focus our attention on more worthy priorities: providing students with compelling reasons to write, inviting them to wrestle with important questions and crafting a piece of writing that cannot be mistaken for a robot’s work.

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.

Reflections on “Policy by Waivers Won’t Boost School Innovation” [Horn]

On 03/18/2023, in change, Daniel S. Christian, education, education reform, ideas, innovation, K-12 related, leadership, learning, learning ecosystem, Learning Experience Design, legislatures / government / legal, reinvent, society, staying relevant, strategy, teachers, United States, by Daniel Christian

Policy by Waivers Won’t Boost School Innovation — by Michael B. Horn
“Permissionless” beats having to ask for an okay

Excerpt:

In recent conversations, educators and state policymakers have expressed shock to me that district schools aren’t innovating more. With microschools growing and test scores floundering, why aren’t districts seeking permission to reinvent themselves?

As evidence of the opportunities to innovate, many bureaucrats and think tanks point to the vast number of waivers that states offer. The opportunities to move beyond traditional structures and processes do exist, the argument goes.

Yet waivers help far less than most policymakers believe. Until regulators create frameworks where innovation in pursuit of student outcomes is the default and doesn’t require permission, don’t expect a sea change.

From DSC:
TrimTab Groups. That’s what we need more of within K-12 and higher education.

Research shows the only way an organization can truly reinvent itself is to launch a separate organization that has the autonomy to rethink its value proposition, resources, processes, and financial formula.

Below is a graphic I created a while back, but with traditional institutions of higher education in mind.

We need more Trim Tab Groups within K-12 and Higher Education.

Designing Virtual Edtech Faculty Development Workshops That Stick: 10 Guiding Principles — from er.educause.edu by Tolulope (Tolu) Noah
These ten principles offer guidance on ways to design and facilitate effective and engaging virtual workshops that leave faculty feeling better equipped to implement new edtech tools.

Excerpt:

I share here ten guiding principles that have shaped my design and facilitation of virtual synchronous edtech workshops. These guiding principles are based on lessons learned in both my previous role as a professional learning specialist at a major technology company and my current role as a faculty developer at a university. In the spirit of James M. Lang’s book Small Teaching, my hope is that the principles shared here may prompt reflection on the small yet impactful moves academic technology specialists, instructional designers, and educational developers can make to create virtual learning experiences whereby faculty leave feeling better equipped to implement the edtech tools they have learned.

Somewhat relevant/see:

Evidence-Based Learning Design 101 — by Dr. Philippa Hardman
A practical guide on how to bake the science of learning into the art of course design

Excerpt:

As I reflect on the experience and what I’ve learned so far, I thought I’d share a response to the question I probably get asked most: what process do you use to go from an idea to a designed learning experience?

So, let’s do a rapid review of the four step process I and my bootcamp alumni use – aka the DOMS™? process – to go from zero to a designed learning experience.

??Well this is something else.

GPT-4 passes basically every exam. And doesn’t just pass…
The Bar Exam: 90%
LSAT: 88%
GRE Quantitative: 80%, Verbal: 99%
Every AP, the SAT… pic.twitter.com/zQW3k6uM6Z

— Ethan Mollick (@emollick) March 14, 2023

Description of video:

Sal Khan walks through Khan Academy’s GPT-4 integration (not generally available yet). Folks can join the waitlist at Khanacademy.org. To learn more about Khanmigo, visit: khanacademy.org/khan-labs

We believe that AI has the potential to transform learning in a positive way, but we are also keenly aware of the risks. To test the possibilities, we’re inviting our district partners to opt in to Khan Labs, a new space for testing learning technology. We want to ensure that our work always puts the needs of students and teachers first, and we are focused on ensuring that the benefits of AI are shared equally across society. In addition to teachers and students, we’re inviting the general public to join a waitlist to test Khanmigo. Teachers, students and donors will be our partners on this learning journey, helping us test AI to see if we can harness it as a learning tool for all.

GPT-4 has arrived. It will blow ChatGPT out of the water. — from washingtonpost.com by Drew Harwell and Nitasha Tiku
The long-awaited tool, which can describe images in words, marks a huge leap forward for AI power — and another major shift for ethical norms

Introducing Our Virtual Volunteer Tool for People who are Blind or Have Low Vision, Powered by OpenAI’s GPT-4 — from bemyeyes.com
We are thrilled to announce Be My Eyes Virtual Volunteer™, the first-ever digital visual assistant powered by OpenAI’s new GPT-4 language model.

For example, [GPT-4] passes a simulated bar exam with a score around the top 10% of test takers; in contrast, GPT-3.5’s score was around the bottom 10%.

Source

Here are some incredible things people are already doing with GPT-4

It’s been less than 3.5 hours

? A thread

— Linus (???) (@LinusEkenstam) March 14, 2023

Had my wife close her eyes and describe rooms in her dream home.

In 3 minutes, I made these on Midjourney (h/t @nickfloats)

She was speechless.

She’s now a huge fan of AI and “gets it”

This is the way. pic.twitter.com/sjf3CQYtwa

— Kallaway (@kanekallaway) March 6, 2023

Learning Ecosystems

Bruff: “Did you know that the entire collection of teaching guides written by the Vanderbilt Center for Teaching has been shared?”

Designing Virtual Edtech Faculty Development Workshops That Stick: 10 Guiding Principles [Noah]

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