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Announcing the 2024 GSV 150: The Top Growth Companies in Digital Learning & Workforce Skills

On 02/19/2024, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, Canada, career development, colleges, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, entrepreneurship, Europe, higher education, human-computer interaction (HCI), ideas, India, innovation, intelligent systems, K-12 related, learning ecosystem, lifelong learning, skills, training / L&D, UK, United States, universities, vendors, workplace, by Daniel Christian

Announcing the 2024 GSV 150: The Top Growth Companies in Digital Learning & Workforce Skills — from prnewswire.com with information provided by ASU+GSV Summit

“The world is adapting to seismic shifts from generative AI,” says Luben Pampoulov, Partner at GSV Ventures. “AI co-pilots, AI tutors, AI content generators—AI is ubiquitous, and differentiation is increasingly critical. This is an impressive group of EdTech companies that are leveraging AI and driving positive outcomes for learners and society.”

Workforce Learning comprises 34% of the list, K-12 29%, Higher Education 24%, Adult Consumer Learning 10%, and Early Childhood 3%. Additionally, 21% of the companies stretch across two or more “Pre-K to Gray” categories. A broader move towards profitability is also evident: the collective gross and EBITDA margin score of the 2024 cohort increased 5% compared to 2023.

See the list at https://www.asugsvsummit.com/gsv-150

Selected from 2,000+ companies around the world based on revenue scale, revenue growth, user reach, geographic diversification, and margin profile, this impressive group is reaching an estimated 3 billion people and generating an estimated $23 billion in revenue.

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“AI native” Gen Zers are comfortable on the cutting edge [Kingson]

On 02/13/2024, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, emerging technologies, entrepreneurship, generational differences, United States, youth, by Daniel Christian

“AI native” Gen Zers are comfortable on the cutting edge — from axios.com by Jennifer A. Kingson; via The Rundown AI

When it comes to generative AI at school and work, Gen Z says: Bring it on.

Why it matters: While some workers are fearful or ambivalent about how ChatGPT, DALL-E and their ilk will affect their jobs, many college students and newly minted grads think it can give them a career edge.

  • So-called “AI natives” who are studying the technology in school may have a leg up on older “digital natives” — the same way that “digital native” millennials smugly bested their “digital immigrant” elders.

 

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Introducing the GPT Store from OpenAI + other AI in general items

On 01/14/2024, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, emerging technologies, entrepreneurship, experimentation, innovation, intelligent systems, marketplaces, Open AI, platforms, by Daniel Christian

Introducing the GPT Store

Introducing the GPT Store — from OpenAI
We’re launching the GPT Store to help you find useful and popular custom versions of ChatGPT.

It’s been two months since we announced GPTs, and users have already created over 3 million custom versions of ChatGPT. Many builders have shared their GPTs for others to use. Today, we’re starting to roll out the GPT Store to ChatGPT Plus, Team and Enterprise users so you can find useful and popular GPTs. Visit chat.openai.com/gpts to explore.

Introducing ChatGPT Team — from openai.com
We’re launching a new ChatGPT plan for teams of all sizes, which provides a secure, collaborative workspace to get the most out of ChatGPT at work.

ChatGPT Team offers access to our advanced models like GPT-4 and DALL·E 3, and tools like Advanced Data Analysis. It additionally includes a dedicated collaborative workspace for your team and admin tools for team management. As with ChatGPT Enterprise, you own and control your business data—we do not train on your business data or conversations, and our models don’t learn from your usage. More details on our data privacy practices can be found on our privacy page and Trust Portal.

GPT Store — from theneurondaily.com by Noah Edelman & Pete Huang

The App Store for ChatGPTs is here.

OpenAI finally launched its GPT Store—a hub offering access to over 3 million GPTs, for paid users (#sorrynotsorry).
If you missed pt. 1, pt. 2, and pt. 3 of our GPTs analysis, here’s the TLDR: GPTs are customized versions of ChatGPT pre-loaded with prompts or context, each designed to be good at specific tasks.

There’s a GPT for everything, like one for lesson plans, one that crunches numbers, and one that recommends books you’ll buy but never read.

The GPT Store is a game-changer.

OpenAI Just Released The GPT Store. Here’s How To Use It And Make Money With Your GPT — from artificialcorner.com by The Pycoach
Learn how to publish your GPT to the store and monetize it.

How to stand out on the GPT Store
The low barrier to entry for making GPTs will make earning money on the GPT store difficult. Not everyone will make tons of money off their GPT, but I think those with more chances of success will:

  • Use custom actions: This is a feature that allows your GPT to connect to an API. Connecting to APIs gives your GPT new functionalities that others won’t be able to replicate unless they have access to the API (here you can see my tutorial on how to add custom action to your GPT)
  • Use knowledge: Knowledge is a feature that allows you to add files to your GPT. Adding exclusive information could enrich your GPT and help it stand out from the pack. Just remember that files can be downloaded when the code interpreter is enabled.

OpenAI releases the app store of AI — from superhuman.ai by Zain Kahn

App stores are ginormous businesses. According to CNBC’s estimates, Apple’s App Store grossed north of $70 Billion in 2022. That’s more revenue than Spotify, Shopify and Airbnb generated in the same year — combined.

When you look at the size of the opportunity that app stores built on top of popular platforms unlock, OpenAI’s latest move to launch a GPT Store is another bold bet by the startup that’s already leading the LLM and chatbot markets with GPT-4 and ChatGPT.

Announced [on 1/10/24], the GPT Store is a place for ChatGPT users to find custom versions of the chatbot that are designed for specific use cases.

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“ChatGPT Gold Rush Of 2024” [thedailybite.co] + “Are We All In On OpenAI’s GPT Store?” [The AI Exchange]

On 01/09/2024, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, entrepreneurship, experimentation, game-changing environment, NVIDIA, by Daniel Christian

ChatGPT Gold Rush Of 2024 — from newsletter.thedailybite.co
GPT marketplace, McAfee’s anti-deepfake tech, and more…

Forget pickaxes and panning for nuggets; the new frontier of wealth lies in lines of code.

OpenAI just announced that their GPT Store is launching this week, and it allows ChatGPT Plus and Enterprise customers to create and sell their own custom AI models – no coding required. ?

Translation for those sleeping in the back:

This is the beginning of the GPT Gold Rush.

Opens AI’s move allows users to create a GPT for essentially any need. Imagine a specific GPT for anything from a fitness coach to a master chef recipe generator AND you get paid when people use it.

Are We All In On OpenAI’s GPT Store? — from news.theaiexchange.com
Custom GPTs: A new revenue stream?; DIY AI sales development rep

Excerpt from OpenAI’s GPT Store: A Game-Changer or a Gamble? section:

But before you dive in to Custom GPTs, there are a few things you should know.

  1. Access to these custom GPTs is exclusive to ChatGPT Plus paid accounts. This could be a strategic move by OpenAI to increase Plus account adoption, and it could deter potential users.
  2. OpenAI hasn’t been forthcoming about the revenue sharing model. This lack of transparency could definitely discourage creators from sharing their custom GPTs.
  3. Some of the data uploaded to and chat transcripts in custom GPTs are shared back with OpenAI for future AI model training.

 

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Our AI predictions for 2024 [Kahn]; Morgan Stanley predicts that AI will affect 40% of the workforce in the next 3 years.

On 01/06/2024, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, career development, change, corporate / business world, corporate universities / corporate training, digital video, emerging technologies, entrepreneurship, experimentation, future, game-changing environment, multimedia, skills, society, training / L&D, trends, United States, vendors, workplace, by Daniel Christian

Our AI predictions for 2024 — from superhuman.ai by Zain Kahn
ALSO: How to create videos with ChatGPT

  1. AI-generated video becomes a reality
  2. AI will become an essential skill for job seekers, as employers rush to adopt AI
  3. AI will unlock new use cases for smartphones, as more efficient models enable AI features on smaller devices
  4. AI models will become smaller, cheaper and multimodal
  5. Expect drama — a lot more drama

Morgan Stanley predicts that AI will affect 40% of the workforce in the next 3 years.

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Susskind: “The main social benefit of legal AI will…be in empowering people who are not lawyers to handle their own legal affairs”

On 12/16/2023, in Africa, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, collaboration, emerging technologies, entrepreneurship, innovation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, platforms, programming, society, UK, United States, vendors, vision/possibilities, by Daniel Christian

Regarding this Tweet on X/Twitter:

To Unleash Legal Tech, Lawyers And Engineers Need To Talk — from forbes.com by Tanguy Chau

Here, I’ll explore some ways that engineers and lawyers see the world differently based on their strengths and experiences, and I’ll explain how they can better communicate to build better software products, especially in AI, for attorneys. Ideally, this will lead to happier lawyers and more satisfied clients.

Zuputo: Africa’s first women-led legal tech startup launches — from myjoyonline.com

A groundbreaking legal tech startup, Zuputo, is set to reshape the legal landscape across Africa by making legal services more accessible, affordable, and user-friendly.

Founded by Jessie Abugre and Nana Adwoa Amponsah-Mensah, this women-led venture has become synonymous with simplicity and efficiency in legal solutions.

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Big Ideas in Tech for 2024 | Andreessen Horowitz

On 12/13/2023, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, change, corporate / business world, emerging technologies, entrepreneurship, experimentation, future, health, ideas, innovation, intelligent systems, technologies for your home, technology (general), United States, voice recognition / voice enabled interfaces, by Daniel Christian

Smart energy grids. Voice-first companion apps.
Programmable medicines. AI tools for kids. We asked
over 40 partners across a16z to preview one big idea
they believe will drive innovation in 2024.

Narrowly Tailored, Purpose-Built AI
In 2024, I predict we’ll see narrower AI solutions. While ChatGPT may be a great general AI assistant, it’s unlikely to “win” for every task. I expect we’ll see an AI platform purpose-built for researchers, a writing generation tool targeted for journalists, and a rendering platform specifically for designers, to give just a few examples.

Over the longer term, I think the products people use on an everyday basis will be tailored to their use cases — whether this is a proprietary underlying model or a special workflow built around it. These companies will have the chance to “own” the data and workflow for a new era of technology; they’ll do this by nailing one category, then expanding. For the initial product, the narrower the better.

— via Olivia Moore, who focuses on marketplace startups

 

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34 Big Ideas that will change our world in 2024 [LinkedIn]

On 12/06/2023, in 21st century, Africa, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, Australia, bots, business, Canada, career development, change, corporate / business world, emerging technologies, entrepreneurship, Europe, experimentation, future, game-changing environment, generational differences, health, higher education, human-computer interaction (HCI), ideas, India, innovation, intelligent systems, political science, society, teachers, technology (general), trends, UK, United States, universities, vendors, vision/possibilities, workplace, by Daniel Christian

34 Big Ideas that will change our world in 2024 — from linkedin.com

34 Big Ideas that will change our world in 2024 -- from linkedin.com 

Excerpts:

6. ChatGPT’s hype will fade, as a new generation of tailor-made bots rises up
11. We’ll finally turn the corner on teacher pay in 2024
21. Employers will combat job applicants’ use of AI with…more AI
31. Universities will view the creator economy as a viable career path

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“Our comprehensive, all-in, research-based look at the design of effective learning spaces” [Terada & Merrill] + other K12-related items

On 11/27/2023, in Alternatives, business, career development, creativity, curriculum, education, engagement / engaging students, entrepreneurship, experimentation, ideas, instructional design, K-12 related, learning, learning ecosystem, Learning Experience Design, learning hubs & pods & microschooling, learning spaces, student-related, teachers, UK, United States, youth, by Daniel Christian

Why Entrepreneurship Might Save Our Kids—and the Rest of Us. — from gettingsmart.com by Katie Kimbrell

Key Points (emphasis DSC):

  • We need to be asking our students “How did you put your ideas into the world today?”.
  • To be human is to be entrepreneurial.

One of my favorite mom friends asks her young school-aged kids every day, “What did you make today?”

I love how subtly subversive this question is. Not, “How was school today?” “Were you good today?” or, “How’s [insert school subject] going?” But, “How did you put your ideas out into the world today?” 

That simple question understands this fundamental truth: to be human is to create, to employ our imaginations and partake in forming the world we want to live in.

Microschool in a Box: Programs Enabling the Microschool Movement — from gettingsmart.com by Nate McClennen

Key Points

  • Microschools are not new. In fact, they are as old as learning itself.
  • Funding and operations can be difficult within a microschool model. Programs and other organizations can support planning, design and implementation.

Microschools are meeting strong market demand for more personalized, more contextualized and more relevant learning for every student. Programs like ASU Prep’s Microschool in a Box make it possible for more learners to become future-ready with access to affordable, relational microschool learning.

Nate McClennen

The Science of Classroom Design — from edutopia.org by Youki Terada and Stephen Merrill
Our comprehensive, all-in, research-based look at the design of effective learning spaces.

Topics include:

  • Light
  • Ventilation and air quality
  • Complexity and color
  • Data walls
  • Nature, plants, and greenery
  • Representation
    • Students can experience representation in classrooms by seeing their own or peers’ artifacts on walls and in shared virtual spaces, or by being exposed to images and references that mirror their interests, passions, and backgrounds.
  • Flexibility
  • Learning differences and neurodivergence
  • Heat
  • Acoustics/noise
  • Seating arrangements
  • Learning Zones

Addendum on 12/1/23:

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“Why Shaquille O’Neal led edtech startup Edsoma’s $2.5M seed round” + other AI-related items in our learning ecosystems

On 09/20/2023, in business, digital learning, education technology, emerging technologies, entrepreneurship, experimentation, reading, tools, vendors, by Daniel Christian

Why Shaquille O’Neal led edtech startup Edsoma’s $2.5M seed round — from techcrunch.com by Kirsten Korosec; via GSV

Edsoma is an app that uses an AI reading assistant to help people learn or improve their reading and communication.
…
For now, the company is targeting users in grades kindergarten to fourth grade based on the content that it has today. Wallgren noted that the Edsoma’s technology will work right through into university and he has ambitions to become the No. 1 literacy resource in the United States.

Outschool launches an AI-powered tool to help teachers write progress reports — from techcrunch.com by Lauren Forristal; via GSV

Outschool, the online learning platform that offers kid-friendly academic and interest-based classes, announced today the launch of its AI Teaching Assistant, a tool for tutors to generate progress reports for their students. The platform — mainly popular for its small group class offerings — also revealed that it’s venturing into one-on-one tutoring, putting it in direct competition with companies like Varsity Tutors, Tutor.com and Preply.

 

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Reflections on “Next, The Future of Work is… Intersections” [Bolles]

On 09/18/2023, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, career development, colleges, communities of practice, community colleges, corporate / business world, Daniel S. Christian, entrepreneurship, experimentation, future, future of higher education, higher education, ideas, innovation, liberal arts, motivation, passions, productivity / tips and tricks, real-world assignments, society, student-related, universities, workplace, by Daniel Christian

Next, The Future of Work is… Intersections — from linkedin.com by Gary A. Bolles; via Roberto Ferraro

So much of the way that we think about education and work is organized into silos. Sure, that’s one way to ensure a depth of knowledge in a field and to encourage learners to develop mastery. But it also leads to domains with strict boundaries. Colleges are typically organized into school sub-domains, managed like fiefdoms, with strict rules for professors who can teach in different schools.

Yet it’s at the intersections of seemingly-disparate domains where breakthrough innovation can occur.

Maybe intersections bring a greater chance of future work opportunity, because that young person can increase their focus in one arena or another as they discover new options for work — and because this is what meaningful work in the future is going to look like.

From DSC:
This posting strikes me as an endorsement for interdisciplinary degrees. I agree with much of this. It’s just hard to find the right combination of disciplines. But I supposed that depends upon the individual student and what he/she is passionate or curious about.

Speaking of the future of work, also see:

Centaurs and Cyborgs on the Jagged Frontier — from oneusefulthing.org by Ethan Mollick
I think we have an answer on whether AIs will reshape work…

A lot of people have been asking if AI is really a big deal for the future of work. We have a new paper that strongly suggests the answer is YES.
.

Consultants using AI finished 12.2% more tasks on average, completed tasks 25.1% more quickly, and produced 40% higher quality results than those without. Those are some very big impacts. Now, let’s add in the nuance.

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“Why we don’t intuitively get how fast the world is changing.” [Misha]

On 08/05/2023, in 21st century, Africa, Asia, Australia, business, career development, change, changing business models, corporate / business world, education, entrepreneurship, Europe, future, game-changing environment, generational differences, global / globalization, India, innovation, legislatures / government / legal, pace of change, parents/guardians, reinvent, society, staying relevant, surviving, technology (general), trends, UK, United States, user experience (UX), vision/possibilities, visualizing information, workplace, youth, by Daniel Christian

From DSC:
Which reminds me of some graphics:

The pace has changed -- don't come onto the track in a Model T

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“Disconnect grows between law firm service and client expectation” [Hill] + other legaltech-related items

On 07/29/2023, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, entrepreneurship, expectations, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, United States, universities, vendors, by Daniel Christian

Disconnect grows between law firm service and client expectation, survey finds — from legaltechnology.com by Caroline Hill

Over 90% of in-house counsel and three quarters of private practice lawyers said that the legal sector is slow to embrace data, technology and new delivery models – a significant increase on the 64% who felt the same way last year.

In terms of the disconnect, 96% of in-house counsel agreed with the statement that what law firms provide is out of kilter with what clients expect. The majority (78%) of private practice lawyers also largely agreed.

ndaOK Unleashes Next-Level Efficiency in Legal Tech with GPT-4 Powered NDA Review — from legaldive.com by Christina Pennell
AI-driven legal tool promises to reduce NDA review times by over 90%

AUSTIN, Tex. —  ndaOK, an innovator in AI-powered legal technology, today announces the launch of its next-generation non-disclosure agreement (NDA) review system. This advanced solution leverages OpenAI’s GPT-4 large multimodal model, a first among legal technology companies, offering unprecedented performance and efficiency in reviewing NDAs.

Capitalizing on the computational power and versatility of GPT-4, ndaOK accurately reviews and edits documents based on a user’s pre-determined requirements without the need for human assistance or input. This unique capability makes ndaOK faster and easier to deploy than any other AI-based contract review solution.

And here are two relevant postings that I missed a while back:

ANALYSIS: Meet the Law Schools Leading the Way in Innovation — from news.bloomberglaw.com by Francis Boustany

As law firms, businesses, and their clients adapt to the new realities of the legal and business worlds, law schools must prepare students in new ways—beyond traditional law school curricula and teaching methods—to give students an experience and education that better prepares them for their post-graduation careers.

Bloomberg Law launched its inaugural Law School Innovation Program as a means of promoting, acknowledging, and connecting the law schools that are innovating in the legal education space and providing their students with new ways of learning the law.

In this reimagined version of law school, students are taught to have ‘an entrepreneur’s mind’ — from fastcompany.com by Grace Buono
The University of Richmond program asks students not only to think like lawyers, but as entrepreneurs.

The demand for good lawyers is nothing new and, each year, law schools churn out graduates equipped with virtually the same skills as decades of law students before them. But one school is trying to change that.

The University of Richmond’s Legal Business Design Hub has students focus on the strategy, design, and operations of legal services in addition to their regular coursework, applying what the program calls “an entrepreneur’s mind” to their studies.

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101 creative ideas to use AI in education, a crowdsourced collection [Nerantzi, Abegglen, Karatsiori, & Martínez-Arboleda (Eds.)]

On 06/28/2023, in Africa, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, assessment, Australia, Canada, creativity, digital learning, education, education technology, educational games / serious games, emerging technologies, engagement / engaging students, entrepreneurship, Europe, experimentation, graphics, human-computer interaction (HCI), ideas, India, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learning, learning ecosystem, Learning Experience Design, participation, platforms, presentations, productivity / tips and tricks, professional development, project-based learning, skills, student-related, teachers, tools, UK, United States, vendors, vision/possibilities, visualizing information, writing, youth, by Daniel Christian

101 creative ideas to use AI in education, A crowdsourced collection — from zenodo.org by Chrissi Nerantzi, Sandra Abegglen, Marianna Karatsiori, & Antonio Martínez-Arboleda (Eds.); with thanks to George Veletsianos for this resource

101 creative ideas to use AI in education, A crowdsourced collection

As an example, here’s one of the ideas from the crowdsourced collection:

Chat with anyone in the past

Chatting with Napoleon Bonaparte

 

On a somewhat related note, also see:

Merlyn Mind launches education-focused LLMs for classroom integration of generative AI — from venturebeat.com by Victor Dey

Excerpt:

Merlyn Mind, an AI-powered digital assistant platform, announced the launch of a suite of large language models (LLMs) specifically tailored for the education sector under an open-source license.

Designing courses in an age of AI — from teachinginhighered.com by Maria Andersen
Maria Andersen shares about designing courses in an age of artificial intelligence (AI) on episode 469 of the Teaching in Higher Ed podcast.

With generative AI, we have an incredible acceleration of change happening.

Maria Andersen

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Teacher shortages: Some ways being used to address this issue

On 05/22/2023, in dangers of the status quo, Daniel S. Christian, education, education reform, engagement / engaging students, entrepreneurship, experimentation, homeschooling/homeschoolers, ideas, innovation, K-12 related, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, love of learning, maker movement, more voice more choice more control, new business models, parents/guardians, participation, personalized/customized learning, reinvent, society, student-related, teachers, traditional / tradition, United States, vision/possibilities, youth, by Daniel Christian

Being a new teacher is hard. Having a good mentor can help — from npr.org by Cory Turner

Excerpt:

[Besides this article’s focus on mentorship]

In March, I reported a pair of stories from Jackson, Miss., where the school district is paying for unlicensed classroom aides to go back to school and get their master’s degrees.

In April, I told the story of a remarkable idea: A new high school in San Antonio dedicated entirely to training high-schoolers in the art and science of good teaching.

From DSC:
I would add a few more items:

  • Significantly reduce the impact of legislators on K-12. If they do vote on something that would impact schools, each legislator that votes on such legislation must first spend at least ___ week(s) observing in some of the schools that would be impacted before even starting to draft legislation and/or debate on the topic(s).
  • Instead, turn over more control and power to the students, teachers, K12 administrators, parents, and school boards.
  • Provide more choice, more control as each student can handle it.
  • Stop the one-size fits all system. Instead use AI-based systems to provide more personalized learning.
  • Develop more hybrid programs — but this time I’m talking mixing what we’ve known as public education with homeschooling and smaller learning pods. Let’s expand what’s included when we discuss “learning spaces.”
  • Strive for a love of learning — vs. competition and developing gameplayers
  • Support makerspaces, entrepreneurship, and experiments
  • Speaking of experiments, I would recommend developing more bold experiments outside of the current systems.

Along the lines of potential solutions/visions, see:

Why ‘System Transformation’ Is Likely A Pipe Dream — from michaelbhorn.substack.com by Michael Horn
But I’m for System Replacement

Excerpt:

Foremost among them is this: Despite all the fancy models and white papers around what are all the levers to pull in order to transform a system, system transformation almost never happens by changing the fundamental tenets of the system itself. Instead, it comes from replacing the system with a brand-new system.

To start to understand why, consider the complicated system in which public schools find themselves. As Thomas Arnett explained, they are one part of a vast value network of federal, state, and local regulators, voters and taxpayers, parents and students, teachers, administrators, unions, curriculum providers, school vendors, public infrastructure, higher education institutions, and more.

New ideas, programs, or entities that don’t fit into these processes, priorities, and cost structures are simply not plug-compatible into that value network. They consequently get rejected, tossed to the fringe, or altered to meet the needs of the existing actors in the value network.

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