“The Value of Doing Things: What AI Agents Mean for Teachers” — from nickpotkalitsky.substack.com by guest author Jason Gulya, Professor of English and Applied Media at Berkeley College in New York City

AI Agents make me nervous. Really nervous.

I wish they didn’t.

I wish I could write that the last two years have made me more confident, more self-assured that AI is here to augment workers rather than replace them.

But I can’t.

I wish I could write that I know where schools and colleges will end up. I wish I could say that AI Agents will help us get where we need to be.

But I can’t.

At this point, today, I’m at a loss. I’m not sure where the rise of AI agents will take us, in terms of how we work and learn. I’m in the question-asking part of my journey. I have few answers.

So, let’s talk about where (I think) AI Agents will take education. And who knows? Maybe as I write I’ll come up with something more concrete.

It’s worth a shot, right?

From DSC: 
I completely agree with Jason’s following assertion:

A good portion of AI advancement will come down to employee replacement. And AI Agents push companies towards that. 

THAT’s where/what the ROI will be for corporations. They will make their investments up in the headcount area, and likely in other areas as well (product design, marketing campaigns, engineering-related items, and more). But how much time it takes to get there is a big question mark.

One last quote here…it’s too good not to include:

Behind these questions lies a more abstract, more philosophical one: what is the relationship between thinking and doing in a world of AI Agents and other kinds of automation?


How Good are Claude, ChatGPT & Gemini at Instructional Design? — from drphilippahardman.substack.com by Dr Philippa Hardman
A test of AI’s Instruction Design skills in theory & in practice

By examining models across three AI families—Claude, ChatGPT, and Gemini—I’ve started to identify each model’s strengths, limitations, and typical pitfalls.

Spoiler: my findings underscore that until we have specialised, fine-tuned AI copilots for instructional design, we should be cautious about relying on general-purpose models and ensure expert oversight in all ID tasks.


From DSC — I’m going to (have Nick) say this again:
I simply asked my students to use AI to brainstorm their own learning objectives. No restrictions. No predetermined pathways. Just pure exploration. The results? Astonishing.

Students began mapping out research directions I’d never considered. They created dialogue spaces with AI that looked more like intellectual partnerships than simple query-response patterns. 


The Digital Literacy Quest: Become an AI Hero — from gamma.app

From DSC:
I have not gone through all of these online-based materials, but I like what they are trying to get at:

  • Confidence with AI
    Students gain practical skills and confidence in using AI tools effectively.
  • Ethical Navigation
    Learn to navigate the ethical landscape of AI with integrity and responsibility. Make informed decisions about AI usage.
  • Mastering Essential Skills
    Develop critical thinking and problem-solving skills in the context of AI.

 


Expanding access to the Gemini app for teen students in education — from workspaceupdates.googleblog.com

Google Workspace for Education admins can now turn on the Gemini app with added data protection as an additional service for their teen users (ages 13+ or the applicable age in your country) in the following languages and countries. With added data protection, chats are not reviewed by human reviewers or otherwise used to improve AI models. The Gemini app will be a core service in the coming weeks for Education Standard and Plus users, including teens,


5 Essential Questions Educators Have About AI  — from edsurge.com by Annie Ning

Recently, I spoke with several teachers regarding their primary questions and reflections on using AI in teaching and learning. Their thought-provoking responses challenge us to consider not only what AI can do but what it means for meaningful and equitable learning environments. Keeping in mind these reflections, we can better understand how we move forward toward meaningful AI integration in education.


FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI — from epoch.ai
FrontierMath presents hundreds of unpublished, expert-level mathematics problems that specialists spend days solving. It offers an ongoing measure of AI complex mathematical reasoning progress.

We’re introducing FrontierMath, a benchmark of hundreds of original, expert-crafted mathematics problems designed to evaluate advanced reasoning capabilities in AI systems. These problems span major branches of modern mathematics—from computational number theory to abstract algebraic geometry—and typically require hours or days for expert mathematicians to solve.


Rising demand for AI courses in UK universities shows 453% growth as students adapt to an AI-driven job market — from edtechinnovationhub.com

The demand for artificial intelligence courses in UK universities has surged dramatically over the past five years, with enrollments increasing by 453%, according to a recent study by Currys, a UK tech retailer.

The study, which analyzed UK university admissions data and surveyed current students and recent graduates, reveals how the growing influence of AI is shaping students’ educational choices and career paths.

This growth reflects the broader trend of AI integration across industries, creating new opportunities while transforming traditional roles. With AI’s influence on career prospects rising, students and graduates are increasingly drawn to AI-related courses to stay competitive in a rapidly changing job market.

 

Hello GPT-4o — from openai.com
We’re announcing GPT-4o, our new flagship model that can reason across audio, vision, and text in real time.

GPT-4o (“o” for “omni”) is a step towards much more natural human-computer interaction—it accepts as input any combination of text, audio, image, and video and generates any combination of text, audio, and image outputs. It can respond to audio inputs in as little as 232 milliseconds, with an average of 320 milliseconds, which is similar to human response time in a conversation. It matches GPT-4 Turbo performance on text in English and code, with significant improvement on text in non-English languages, while also being much faster and 50% cheaper in the API. GPT-4o is especially better at vision and audio understanding compared to existing models.

Example topics covered here:

  • Two GPT-4os interacting and singing
  • Languages/translation
  • Personalized math tutor
  • Meeting AI
  • Harmonizing and creating music
  • Providing inflection, emotions, and a human-like voice
  • Understanding what the camera is looking at and integrating it into the AI’s responses
  • Providing customer service

With GPT-4o, we trained a single new model end-to-end across text, vision, and audio, meaning that all inputs and outputs are processed by the same neural network. Because GPT-4o is our first model combining all of these modalities, we are still just scratching the surface of exploring what the model can do and its limitations.





From DSC:
I like the assistive tech angle here:





 

 

Recording Arts as Reengagement, Social Justice and Pathway — from gettingsmart.com

Key Points

  • After a successful career as a recording artist, David “TC” Ellis created Studio 4 in St. Paul to spot budding music stars.
  • It became a hangout spot for creative young people, most of whom had “dropped out of school due to boredom and a sense that school wasn’t relevant to their lives and dreams.”
  • Ellis and colleagues then opened the High School for Recording Arts in 1998.

Young people learning how to perform and record music at the High School for Recording Arts

 

A New Era for Education — from linkedin.com by Amit Sevak, CEO of ETS and Timothy Knowles, President of the Carnegie Foundation for the Advancement of Teaching

Excerpt (emphasis DSC):

It’s not every day you get to announce a revolution in your sector. But today, we’re doing exactly that. Together, we are setting out to overturn 117 years of educational tradition.

The fundamental assumption [of the Carnegie Unit] is that time spent in a classroom equals learning. This formula has the virtue of simplicity. Unfortunately, a century of research tells us that it’s woefully inadequate.


From DSC:
It’s more than interesting to think that the Carnegie Unit has outlived its usefulness and is breaking apart. In fact, the thought is very profound.

It's more than interesting to think that the Carnegie Unit has outlived its usefulness and is breaking apart. In fact, the thought is very profound.

If that turns out to be the case, the ramifications will be enormous and we will have the opportunity to radically reinvent/rethink/redesign what our lifelong learning ecosystems will look like and provide.

So I appreciate what Amit and Timothy are saying here and I appreciate their relaying what the new paradigm might look like. It goes with the idea of using design thinking to rethink how we build/reinvent our learning ecosystems. They assert:

It’s time to change the paradigm. That’s why ETS and the Carnegie Foundation have come together to design a new future of assessment.

    • Whereas the Carnegie Unit measures seat time, the new paradigm will measure skills—with a focus on the ones we know are most important for success in career and in life.
    • Whereas the Carnegie Unit never leaves the classroom, the new paradigm will capture learning wherever it takes place—whether that is in after-school activities, during a work-experience placement, in an internship, on an apprenticeship, and so on.
    • Whereas the Carnegie Unit offers only one data point—pass or fail—the new paradigm will generate insights throughout the learning process, the better to guide students, families, educators, and policymakers.

I could see this type of information being funneled into peoples’ cloud-based learner profiles — which we as individuals will own and determine who else can access them. I diagrammed this back in January of 2017 using blockchain as the underlying technology. That may or may not turn out to be the case. But the concept will still hold I think — regardless of the underlying technology(ies).

Perhaps blockchain will be the underlying technology to provide us with cloud-based learner profiles

For example, we are seeing a lot more articles regarding things like Comprehensive Learner Records (CLR) or Learning and Employment Records (LER; example here), and similar items.

LER — The Learning and Employment Record for a Skills-Based Economy


Speaking of reinventing our learning ecosystems, also see:

 

Credentialed learning for all -- from Getting Smart

 

Why credential section -- from Getting Smart's Credentialed Learning for All

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.


 

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

 


 

Fostering sustainable learning ecosystems — from linkedin.com by Patrick Blessinger

Excerpt (emphasis DSC):

Learning ecosystems
As today’s global knowledge society becomes increasingly interconnected and begins to morph into a global learning society, it is likely that formal, nonformal, and informal learning will become increasingly interconnected. For instance, there has been an explosion of new self-directed e-learning platforms such as Khan Academy, Open Courseware, and YouTube, among others, that help educate billions of people around the world.

A learning ecosystem includes all the elements that contribute to a learner’s overall learning experience. The components of a learning ecosystem are numerous, including people, technology platforms, knowledge bases, culture, governance, strategy, and other internal and external elements that have an impact on learning. Therefore, moving forward, it is crucial to integrate learning across formal, nonformal, and informal learning processes and activities in a more strategic way.

Learning ecosystems -- formal, informal, and nonformal sources of learning will become more tightly integrated in the future

 

From DSC:
Let’s put together a nationwide campaign that would provide a website — or a series of websites if an agreement can’t be reached amongst the individual states — about learning how to learn. In business, there’s a “direct-to-consumer” approach. Well, we could provide a “direct-to-learner” approach — from cradle to grave. Seeing as how everyone is now required to be a lifelong learner, such a campaign would have enormous benefits to all of the United States. This campaign would be located in airports, subway stations, train stations, on billboards along major highways, in libraries, and in many more locations.

We could focus on things such as:

  • Quizzing yourself / retrieval practice
  • Spaced retrieval
  • Interleaving
  • Elaboration
  • Chunking
  • Cognitive load
  • Learning by doing (active learning)
  • Journaling
  • The growth mindset
  • Metacognition (thinking about one’s thinking)
  • Highlighting doesn’t equal learning
  • There is deeper learning in the struggle
  • …and more.

A learn how to learn campaign covering airports, billboards, subways, train stations, highways, and more

 

A learn how to learn campaign covering airports, billboards, subways, train stations, highways, and more

 

A learn how to learn campaign covering airports, billboards, subways, train stations, highways, and more

 

A learn how to learn campaign covering airports, billboards, subways, train stations, highways, and more


NOTE:
The URL I’m using above doesn’t exist, at least not at the time of this posting.
But I’m proposing that it should exist.


A group of institutions, organizations, and individuals could contribute to this. For example The Learning Scientists, Daniel Willingham, Donald Clark, James Lang, Derek Bruff, The Learning Agency Lab, Robert Talbert, Pooja Agarwal and Patrice Bain, Eva Keffenheim, Benedict Carey, Ken Bain, and many others.

Perhaps there could be:

  • discussion forums to provide for social interaction/learning
  • scheduled/upcoming webinars
  • how to apply the latest evidence-based research in the classroom
  • link(s) to learning-related platforms and/or resources
 

Some example components of a learning ecosystem [Christian]

A learning ecosystem is composed of people, tools, technologies, content, processes, culture, strategies, and any other resource that helps one learn. Learning ecosystems can be at an individual level as well as at an organizational level.

Some example components:

  • Subject Matter Experts (SMEs) such as faculty, staff, teachers, trainers, parents, coaches, directors, and others
  • Fellow employees
  • L&D/Training professionals
  • Managers
  • Instructional Designers
  • Librarians
  • Consultants
  • Types of learning
    • Active learning
    • Adult learning
    • PreK-12 education
    • Training/corporate learning
    • Vocational learning
    • Experiential learning
    • Competency-based learning
    • Self-directed learning (i.e., heutagogy)
    • Mobile learning
    • Online learning
    • Face-to-face-based learning
    • Hybrid/blended learning
    • Hyflex-based learning
    • Game-based learning
    • XR-based learning (AR, MR, and VR)
    • Informal learning
    • Formal learning
    • Lifelong learning
    • Microlearning
    • Personalized/customized learning
    • Play-based learning
  • Cloud-based learning apps
  • Coaching & mentoring
  • Peer feedback
  • Job aids/performance tools and other on-demand content
  • Websites
  • Conferences
  • Professional development
  • Professional organizations
  • Social networking
  • Social media – Twitter, LinkedIn, Facebook/Meta, other
  • Communities of practice
  • Artificial Intelligence (AI) — including ChatGPT, learning agents, learner profiles, 
  • LMS/CMS/Learning Experience Platforms
  • Tutorials
  • Videos — including on YouTube, Vimeo, other
  • Job-aids
  • E-learning-based resources
  • Books, digital textbooks, journals, and manuals
  • Enterprise social networks/tools
  • RSS feeds and blogging
  • Podcasts/vodcasts
  • Videoconferencing/audio-conferencing/virtual meetings
  • Capturing and sharing content
  • Tagging/rating/curating content
  • Decision support tools
  • Getting feedback
  • Webinars
  • In-person workshops
  • Discussion boards/forums
  • Chat/IM
  • VOIP
  • Online-based resources (periodicals, journals, magazines, newspapers, and others)
  • Learning spaces
  • Learning hubs
  • Learning preferences
  • Learning theories
  • Microschools
  • MOOCs
  • Open courseware
  • Portals
  • Wikis
  • Wikipedia
  • Slideshare
  • TED talks
  • …and many more components.

These people, tools, technologies, etc. are constantly morphing — as well as coming and going in and out of our lives.

 

 

From DSC:
I’m very proud of our sister Sue Ellen — who worked hard to bring this idea/vision/exhibit to reality.

Sue Ellen Christian


Kalamazoo Valley Museum explores media & its messages — from woodtv.com by Jessica Jurczak

Excerpt:

GRAND RAPIDS, Mich. (WOOD) – We are constantly on the lookout for fun ideas that also involve learning and one of our go-to spots is the Kalamazoo Valley Museum! There’s a big exhibition there now called “Wonder Media: Ask the Questions!” As we all know, we’re bombarded everyday with messages from all types of media: TV, movies, social media and this exhibit encourages us to stop and evaluate some of those messages. The Kalamazoo Valley Museum also has a planetarium, and vast science and history galleries and today, we’re taking you inside!

 

A New Initiative to Tackle Education’s Big Problems — from the74millioin.org by Andrew J. Rotherham
Rotherham: For all the rhetoric around ‘reimagining’ and ‘reinventing’ schooling, there’s precious little to show for it. There’s another way

Excerpt:

Instead, experts operate in silos to find solutions, reform and pandemic fatigue abound, and dysfunctional reactionary politics define various debates.

Beta by Bellwether, [which launched on 8/31/22], is a new initiative bringing viewpoint- and background-diverse experts together to tackle big problems and develop blueprints, strategies and tools that can help communities address structural educational problems. We’re building on our 12 years of work at Bellwether bridging policy and practice with a perspective that should be mundane but in this climate seems radical: the belief that the best ideas often lie between different perspectives and are strengthened through serious debate. No faction owns solutions, good ideas or virtue.

Bellwether Beta -- A New Initiative to Tackle Education’s Big Problems

Bellwether.org 

From DSC:
This is something to keep on your K-12 learning ecosystems radar.

Bellwether dot org -- something to keep on your K-12 learning ecosystems radar


Also see:

National Microschooling Center launches, proving ‘modern one-room schoolhouse’ is no flash-in-the-pandemic phenomenon — from reimaginedonline.org by Tom Jackson

Excerpt:

Writing for the Manhattan Institute, researcher Michael McShane lays out the framework and the appeal of microschools:

Neither homeschooling nor traditional schooling, [microschools] exist in a hard-to-classify space between formal and informal learning environments. They rose in popularity during the pandemic as families sought alternative educational options that could meet social-distancing recommendations.

But what they offer in terms of personalization, community building, schedules, calendars, and the delivery of instruction will have appeal long after Covid recedes.

Long-time education choice advocate Don Soifer concurs.

“For whatever reason, families are just rethinking the public education system,” he says. “The research is telling us now that microschooling serves 2-1/2 to 3-1/2 million learners as their primary form of education.”


Also see:


Learning Pods Are Here, Are You In? — from schoolchoiceweek.com by National School Choice Week Team

Excerpt:

If you’ve stumbled into an education conversation or joined a parent discussion group recently, you’ve surely heard of pods or micro-schools. As families grapple with a changing education environment, some hope to find the flexibility, safety, and community they desire in small, local learning arrangements called learning pods. Whether you have your heart set on joining a pod or just want to better understand education choices for your child, we’ve broken down all types of pandemic pods here.

 

From DSC:
An AI-backed platform will constantly search all job postings and present the most desired skills in the marketplace and then how to get those skills. The providers will be individuals, organizations, training providers, traditional institutions of higher education, vendors and more.

Depending upon what happens with blockchain — and if a much more energy-efficient/environmentally-friendly solution can be implemented — blockchain may be a part of that equation.

 

New Pathways: Experiencing Success In What’s Next — from Getting Smart

Excerpt:

Some of you were able to attend our official kick-off event yesterday (on 6/21/22), but for those who weren’t able to make it we wanted to let you know that our new campaign, New Pathways, has officially begun!. Over the next few years, and in partnership with ASA, the Bill & Melinda Gates Foundation, Stand Together and the Walton Foundation, we will be dedicated to tracking innovations in the following six pillars:

  1. Unbundled Learning
  2. Credentialed Learning
  3. Accelerated Pathways
  4. New Learning Models
  5. Support & Guidance
  6. Policies & Systems
We believe that when combined, these pillars enable learners to find success in what’s next in their professional lives, their personal lives and in their communities.

 

 


 

Reflections on “Do We Really Want Academic Permanent Records to Live Forever on Blockchain?” [Bohnke]

From DSC:
Christin Bohnke raises a great and timely question out at edsurge.com in her article entitled:
Do We Really Want Academic Permanent Records to Live Forever on Blockchain?

Christin does a wonderful job of addressing the possibilities — but also the challenges — of using blockchain for educational/learning-related applications. She makes a great point that the time to look at this carefully is now:

Yet as much as unchangeable education records offer new chances, they also create new challenges. Setting personal and academic information in stone may actually counter the mission of education to help people evolve over time. The time to assess the benefits and drawbacks of blockchain technology is right now, before adoption in schools and universities is widespread.

As Christin mentions, blockchain technology can be used to store more than formal certification data. It could also store such informal certification data such as “research experience, individual projects and skills, mentoring or online learning.”

The keeping of extensive records via blockchain certainly raises numerous questions. Below are a few that come to my mind:

  • Will this type of record-keeping help or hurt in terms of career development and moving to a different job?
  • Will — or should — CMS/LMS vendors enable this type of feature/service in their products?
  • Should credentials from the following sources be considered relevant?
    • Microlearning-based streams of content
    • Data from open courseware/courses
    • Learning that we do via our Personal Learning Networks (PLNs) and social networks
    • Learning that we get from alternatives such as bootcamps, coding schools, etc.
  • Will the keeping of records impact the enjoyment of learning — or vice versa? Or will it depend upon the person?
  • Will there be more choice, more control — or less so?
  • To what (granular) level of competency-based education should we go? Or from project-based learning?
  • Could instructional designers access learners’ profiles to provide more personalized learning experiences?
  • …and I’m certain there are more questions than these.

All that said…

To me, the answers to these questions — and likely other questions as well — lie in:

  1. Giving a person a chance to learn, practice, and then demonstrate the required skills (regardless of the data the potential employer has access to)
    .
  2. Giving each user the right to own their own data — and to release it as they see fit. Each person should have the capability of managing their own information/data without having to have the skills of a software engineer or a database administrator. When something is written to a blockchain, there would be a field for who owns — and can administer — the data.

In the case of finding a good fit/job, a person could use a standardized interface to generate a URL that is sent out to a potential employer. That URL would be good for X days. The URL gives the potential employer the right to access whatever data has been made available to them. It could be full access, in which case the employer is able to run their own queries/searches on the data. Or the learner could restrict the potential employer’s reach to a more limited subset of data.

Visually, speaking:


Each learner can say who can access what data from their learner's profile


I still have a lot more thinking to do about this, but that’s where I’m at as of today. Have a good one all!


 

The Push-Pull of Leading Motivation Using Microlearning — from learningsolutionsmag.com by Robyn Defelice

Excerpt:

So, let’s pick up from there: You’re a learning leader in an organization that has aligned all these elements and is ready to see microlearning put to good use. So, what’s the obstacle in your path?

Maybe you’re stuck on using microlearning as a motivational tool for performance growth but are not sure if a formal or informal approach will have more appeal. Should you push or pull, as they ask. Let’s get you out of this tug-of-war and address how your L&D team can lead the way in motivating the learning audience for new performance gains by implementing a microlearning campaign (or two or three)!

Push (formal) vs pull (informal)

 
© 2024 | Daniel Christian