Orly Friedman on Red Bridge School and Educating for Agency — from gettingsmart.com

Key Points

  • Grouping is based on autonomy levels rather than grade levels and students move forward based on their own decision. This autonomy level is decoupled from academics.
  • Compliance vs Agency – Agency is what young people really need for the future.

Nobody ever washed a rented car. If you’re going to care of something, you need to feel a sense of ownership of it.

Orly Friedman

 

 

Below comments/notes are from DSC (with thanks to Roberto Ferraro for this resource):
according to Dan Pink, intrinsic motivation is very powerful — much more powerful for many types of “messy/unclear” cognitive work (vs. clear, more mechanical types of work). What’s involved here according to Pink? Autonomy, mastery, and purpose. 

Dan Pink makes his case in the video below. My question is:

  • If this is true, how might this be applied to education/training/lifelong learning?

From DSC (cont’d):

As Dan mentions, we each know this to be true. For example, for each of our kids, my wife and I introduced them to a variety of things — music, sports, art, etc. We kept waiting for them to discover which thing(s) that THEY wanted to pursue. Perhaps we’ll find out that this was the wrong thing to do. but according to Pink, it’s aligned with the type of energy and productivity that gets released when we pursue something that we want to pursue. Plus creativity flows in this type of setting. 

Again, my thanks to Roberto Ferraro for resurfacing this item as his “One ‘must read’ for this week” item of his newsletter.


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

 

Trend No. 3: The business model faces a full-scale transformation — from www2.deloitte.com by Cole Clark, Megan Cluver, and Jeffrey J. Selingo
The traditional business model of higher education is broken as institutions can no longer rely on rising tuition among traditional students as the primary driver of revenue.

Excerpt:

Yet the opportunities for colleges and universities that shift their business model to a more student-centric one, serving the needs of a wider diversity of learners at different stages of their lives and careers, are immense. Politicians and policymakers are looking for solutions to the demographic cliff facing the workforce and the need to upskill and reskill generations of workers in an economy where the half-life of skills is shrinking. This intersection of needs—higher education needs students; the economy needs skilled workers—means that colleges and universities, if they execute on the right set of strategies, could play a critical role in developing the workforce of the future. For many colleges, this shift will require a significant rethinking of mission and structure as many institutions weren’t designed for workforce development and many faculty don’t believe it’s their job to get students a job. But if a set of institutions prove successful on this front, they could in the process improve the public perception of higher education, potentially leading to more political and financial support for growing this evolving business model in the future.

Also see:

Trend No. 2: The value of the degree undergoes further questioning — from www2.deloitte.com by Cole Clark, Megan Cluver, and Jeffrey J. Selingo
The perceived value of higher education has fallen as the skills needed to keep up in a job constantly change and learners have better consumer information on outcomes.

Excerpt:

Higher education has yet to come to grips with the trade-offs that students and their families are increasingly weighing with regard to obtaining a four-year degree.

But the problem facing the vast majority of colleges and universities is that they are no longer perceived to be the best source for the skills employers are seeking. This is especially the case as traditional degrees are increasingly competing with a rising tide of microcredentials, industry-based certificates, and well-paying jobs that don’t require a four-year degree.

Trend No. 1: College enrollment reaches its peak — from www2.deloitte.com by Cole Clark, Megan Cluver, and Jeffrey J. Selingo
Enrollment rates in higher education have been declining in the United States over the years as other countries catch up.

Excerpt:

Higher education in the United States has only known growth for generations. But enrollment of traditional students has been falling for more than a decade, especially among men, putting pressure both on the enrollment pipeline and on the work ecosystem it feeds. Now the sector faces increased headwinds as other countries catch up with the aggregate number of college-educated adults, with China and India expected to surpass the United States as the front runners in educated populations within the next decade or so.

Plus the other trends listed here >>


Also related to higher education, see the following items:


Number of Colleges in Distress Is Up 70% From 2012 — from bloomberg.com by Nic Querolo (behind firewall)
More schools see falling enrollement and tuition revenue | Small private, public colleges most at risk, report show

About 75% of students want to attend college — but far fewer expect to actually go — from highereddive.com by Jeremy Bauer-Wolf

There Is No Going Back: College Students Want a Live, Remote Option for In-Person Classes — from campustechnology.com by Eric Paljug

Excerpt:

Based on a survey of college students over the last three semesters, students understand that remotely attending a lecture via remote synchronous technology is less effective for them than attending in person, but they highly value the flexibility of this option of attending when they need it.

Future Prospects and Considerations for AR and VR in Higher Education Academic Technology — from er.educause.edu by Owen McGrath, Chris Hoffman and Shawna Dark
Imagining how the future might unfold, especially for emerging technologies like AR and VR, can help prepare for what does end up happening.

Black Community College Enrollment is Plummeting. How to Get Those Students Back — from the74million.org by Karen A. Stout & Francesca I. Carpenter
Stout & Carpenter: Schools need a new strategy to bolster access for learners of color who no longer see higher education as a viable pathway

As the Level Up coalition reports ,“the vast majority — 80% — of Black Americans believe that college is unaffordable.” This is not surprising given that Black families have fewer assets to pay for college and, as a result, incur significantly more student loan debt than their white or Latino peers. This is true even at the community college level. Only one-third of Black students are able to earn an associate degree without incurring debt. 

Repairing Gen Ed | Colleges struggle to help students answer the question, ‘Why am I taking this class?’ — from chronicle.com by Beth McMurtrie
Students Are Disoriented by Gen Ed. So Colleges Are Trying to Fix It.

Excerpts:

Less than 30 percent of college graduates are working in a career closely related to their major, and the average worker has 12 jobs in their lifetime. That means, he says, that undergraduates must learn to be nimble and must build transferable skills. Why can’t those skills and ways of thinking be built into general education?

“Anyone paying attention to the nonacademic job market,” he writes, “will know that skills, rather than specific majors, are the predominant currency.”

Micro-credentials Survey. 2023 Trends and Insights. — from holoniq.com
HolonIQ’s 2023 global survey on micro-credentials

3 Keys to Making Microcredentials Valid for Learners, Schools, and Employers — from campustechnology.com by Dave McCool
To give credentials value in the workplace, the learning behind them must be sticky, visible, and scalable.

Positive Partnership: Creating Equity in Gateway Course Success — from insidehighered.com by Ashley Mowreader
The Gardner Institute’s Courses and Curricula in Urban Ecosystems initiative works alongside institutions to improve success in general education courses.

American faith in higher education is declining: one poll — from bryanalexander.org by Bryan Alexander

Excerpt:

The main takeaway is that our view of higher education’s value is souring.  Fewer of us see post-secondary learning as worth the cost, and now a majority think college and university degrees are no longer worth it: “56% of Americans think earning a four-year degree is a bad bet compared with 42% who retain faith in the credential.”

Again, this is all about one question in one poll with a small n. But it points to directions higher ed and its national setting are headed in, and we should think hard about how to respond.


 

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.

 

OPINION: Post pandemic, it’s time for a bold overhaul of U.S. public education, starting now — from hechingerreport.org by William Hite and Kirsten Baesler
Personalized learning can restore public faith and meet the diverse needs of our nation’s students

Excerpt:

Across all socioeconomic and racial groups, Americans want an education system that goes beyond college preparation and delivers practical skills for every learner, based on their own needs, goals and vision for the future.

We believe that this can be achieved by making the future of learning more personalized, focused on the needs of individual learners, with success measured by progress and proficiency instead of point-in-time test scores.

Change is hard, but we expect our students to take risks and fail every day. We should ask no less of ourselves.

 

Introducing Teach AI — Empowering educators to teach w/ AI & about AI [ISTE & many others]


Teach AI -- Empowering educators to teach with AI and about AI


Also relevant/see:

 

5 Playful Strategies That Reduce Language Learning Anxiety — from edutopia.org by Paige Tutt
We visited a classroom in Denmark to see how a playful learning philosophy can put students at ease and make language learning joyful and engaging.

Excerpt:

Instead of trying to convince students that their fears aren’t warranted, Belouahi makes a point of creating a positive, mistake-friendly classroom where students feel comfortable experimenting. One of the ways she does this is by incorporating playful learning strategies. “It doesn’t have to be perfect from the beginning,” Belouahi says. “The goal is for them to use their English language as much as possible and as best as they can. Not perfectly.”

Here are five playful learning strategies from Belouahi’s classroom designed to make the act of learning a new language less daunting, and more joyful, social, and engaging.

Also from edutopia.org, see:

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

 

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:

 

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

 


 

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:

 

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

 

Promoting Student Agency in Learning — from rdene915.com by Rachelle Dené Poth

Excerpts (emphasis DSC):

In many conversations, teachers are starting to shift from what has been a focus on “learning loss” and instead focus on reflecting on the skills that students gained by learning in different yet challenging ways. Some skills such as digital citizenship, how to collaborate and build relationships when not in the classroom together, and essential technology skills. Teachers learned a lot about themselves and the importance of reflecting on their practice. We learned in new ways and now, we have to continue to provide more authentic and meaningful learning experiences for all students.

From DSC:
I couldn’t agree more. There was a different type of learning going on during the pandemic. And that type of learning will be very helpful as our students live the rest of their days in an increasingly Volatile, Uncertain, Complex, and Ambiguous (VOCA) world. That kind of learning wasn’t assessed in our normal standardized tests. It may not have shown up in official transcripts. But it will come in handy in the real world.

When students experience learning that is meaningful, purposeful, and relevant to their lives, it boosts student engagement and amplifies their learning potential, to better prepare students for their future careers.

— Rachelle Dené Poth

 

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.

Quizlet's Q-Chat -- choose a study prompt to be quizzed on the material, to deepen your understanding or to learn through a story.

 

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?

 

Unbundled: Designing Personalized Pathways for Every Learner — from gettingsmart.com by Nate McClennen “with contributions from the Getting Smart team and numerous friends and partners in the field”

Excerpts:

In this publication, we articulate the critical steps needed to unbundle the learning ecosystem, build core competencies, design learning experiences, curate new opportunities, and rebundle these experiences into coherent pathways.
.

Building the Unbundled Ecosystem

Vision

Every learner deserves an unlimited number of unbundled opportunities to explore, engage, and define experiences that advance their progress along a co-designed educational pathway. Each pathway provides equitable and personalized access to stacked learning experiences leading to post-secondary credentials and secure family-sustaining employment. Throughout the journey, supportive coaches focus on helping learners build skills to navigate with agency. In parallel, learners develop foundational skills (literacy, math), technical skills, and durable skills and connect these to challenging co-designed experiences. The breadth and depth of experiences increase over time, and, in partnership, learners and coaches map progress towards reaching community-defined goals. This vision is only enabled by an unbundled learning ecosystem.

Recommendations

Solutions already exist in the ecosystem and need to be combined and scaled. Funding models (like My Tech High), badging/credentialing at the competency level (like VLACS), coaching models (like Big Thought), and open ecosystems (like NH Learn Everywhere) provide an excellent foundation. Thus, building unbundled systems has already begun but needs systemic changes to become widely available and accepted.

      1. Build a robust competency-based system.
      2. Create a two-way marketplace for unbundled learning.
      3. Implement policy to support credit for out-of-system experiences.
      4. Invest in technology infrastructure for Learning and Employment Records.
      5. Design interoperable badging systems that connect to credentials.
 
© 2024 | Daniel Christian