Tag Archives: future

Looking at AI and the future of schools

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There is no doubt that Artificial Intelligence (AI) is going to influence the way we do school in the very near future. I have been pondering what that influence will look like. What are the implications now and what will they be in just a few short years.

Now: AI is going to get messy. Unlike when Google and Wikipedia came out and we were dealing with plagiarism issues, AI writing is not Google-able, and there are two key issues with this: First, you can create assignments that are not Google-able, but you are much more limited in what you can create that is un-AI-able. That is to say, you can ask a question that isn’t easily answerable by Google search, but AI is quite imaginative and creative and can postulate things that a Google search can’t answer, and then share a coherent response. The second issue is that AI detectors are not evidence of cheating. If I find the exact source that was plagiarized, it’s easy to say that a student copied it, but if a detector says that something is 90% likely to be written by AI that doesn’t mean that it’s only 10% likely to be written by a person. For example, I could write that last sentence in 3 different ways and an AI detector would come up with 3 different percentages of likeliness that it is AI. Same sentence, different percentage of likelihood to be AI written, and all written by me.

So we are entering a messy stage of students choosing to use AI to do the work for them, or to help them do the work, or even to discuss that topic and argue with them so that they can come up with their own, better responses. We can all agree that the three uses I shared above are progressively ‘better’ use of AI, but again, all are using AI in some way. The question is, are we going to try to police this, or try to teach appropriate use at the appropriate time? And even when we do this, what do we do when we suspect misuse, but can’t prove it? Do we give full marks and move on? Do we challenge the student? What’s the best approach?

So we are in an era where it is more and more challenging to figure out when a student is misusing AI and we are further challenged with the burden of proof. Do we now start only marking things we see students do in supervised environments? That seems less than ideal. The obvious choice is to be explicit about expectations and to teach good use of AI, and not pretend like we can continue on and expect students not to use it.

The near future: I find the possible direction of use of AI in schools quite exciting to consider. Watch this short video of Sal Hahn and his son, Imran, working with an Open AI tool to solve a Math question without the AI giving away the answer.

When I see something like this video, made almost 6 month ago, I wonder, what’s going to be possible in another couple years? How much will an AI ‘know’ about a student’s approach to learning, about their challenges? About how best to entice learning specifically for each student? And then what is the teacher’s role?

I’m not worried about teachers being redundant, on the contrary, I’m excited about what’s possible in this now era. When 80% of the class is getting exactly the instruction they need to progress to a grade standard in a class on the required content, how much time does a teacher having during class time to meet with and support the other 20% of students who struggle? When a large part part of the curriculum is covered by AI, meeting and challenging students at their ideal points of challenge, and not a whole class moving at the class targeted needs, how much ‘extra’ time is available to do some really interesting experiments or projects? What can be done to take ideas from a course across multiple disciplines and to teach students how to make real-world connections with the work they are studying?

Students generally spend between 5 and 6 hours a day in class at school. If we are ‘covering’ what we need to with AI assistance in less than 3 hours, what does the rest of the time at school look like? Student directed inquiries based on their passions and interests? Real world community connections? Authentic leadership opportunities? Challenges and competitions that force them to be imaginative and creative? The options seem both exciting and endless.

The path from ‘now’ to ‘the near future’ is going to be messy. That said, I’m quite excited about seeing how the journey unfolds. While it won’t be a smooth ride, it will definitely be one that is both a great adventure and one that is headed to a pretty fantastic destination.

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Update: Inspired by my podcast conversation with Dean Shareski, here.

Ability and Agility

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I love this quote, shared in a video on LinkedIn:

“It used to be about ability. And now, in a changing world, I think what we should be looking for is agility. I want to know how quickly do you change your mind? How fast are you to admit you’re wrong? Because what that means is you’re not just going to be reacting to a pandemic or to AI, you’re actually going to be anticipating those problems and seeing around corners, and then leading change as opposed to being a victim of it.” ~Adam Grant

It’s more than just anticipating problems, it’s about being agile, understanding challenges, and addressing them while they are small. It’s about understanding your strengths, and the strengths of your team… as well as weaknesses.

It’s about Agile Ability, which is why I titled this ‘Ability AND Agility’, rather than ‘Ability VERSUS Agility’. We need to embrace our failures and learn from them, recognize problems early, even predict them and be preemptive. This is so different than a culture of accountability and blame.

The desired student, employee, partner, colleague of the future will learn what they need to on the job. They’ll be exceptional because of their agility and willingness to learn, not just because of what they came to the table already knowing.

Not all voices are equal

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I love the Bill Nye analogy about the climate debate. He says that if the debate were authentic, rather than having two talking heads debating, it would be hundreds of scientists on one side versus one climate denier on the other.

I saw a social media clip yesterday where a microbiologist was debunking a self declared holistic practitioner on the consumption of unpasteurized milk. The microbiologist wrote his master’s thesis on bacterial infections in cow’s mammary glands.

The self-declared expert espousing unscientific and incorrect information on social media is not an equal voice to an expert. Do they have a right to share their views? Sure. Do they deserve an audience? No.

I wish that I knew how to make the situation better but I don’t have answers. I’m extremely pro ‘free speech’. I think people are entitled to share their views. However, when I see misinformation and disinformation being shared by people with large audiences, I shudder. I worry about how their messages are consumed, by how many people they lead down a bad path.

In 2024 no one, and I mean NO ONE, should believe the earth is flat and yet the group of flat earth believers is getting larger. Imagine being able to own a telescope and see images from the James Webb telescope and still believing something that societies 5,000+ years ago already knew was wrong.

Not all voices are equal, and some voices deserve a larger voice than others. Who decides? Who polices? I don’t know, but I do know that we are entering (have entered) an era where false information gets shared significantly faster than correct information. Corrected information and updated facts don’t get the same play time on social media. So we are essentially living in an era of disinformation.

This doesn’t feel like progress, and as AI models continue to learn from the inputs we are providing, this scares me. I saw a stat that as much as 80% of the internet could be AI generated by the end of 2026. How much of that generated information will be based on incorrect assumptions and conclusions? How much of it will be intentionally misguided? Who is deciding which voices the AI models listen to?

We can’t continue to let ill-informed people have equal voices to those that have more informed perspectives… But I’m not informed enough to know how to change this.

Information abundance requires pattern recognition

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What a fantastic quote by Adam Grant,

“The hallmark of expertise is no longer how much you know. It’s how well you synthesize.

Information scarcity rewarded knowledge acquisition. Information abundance requires pattern recognition.

It’s not enough to collect facts. The future belongs to those who connect dots.”

Pattern recognition and synthesis are the path to innovation, ingenuity, and invention. The collection of knowledge is not enough. Wisdom comes from recognizing how to make connections across different fields, how to make meaning out of relationships that not everyone sees.

Artificial Intelligence can give us the knowledge we seek. It can dumb down the ideas to our level of understanding, and even teach us with relevant examples when we are stuck. More information won’t be what we seek. Instead we will seek new connections, patterns, and relationships.

The desired experts of tomorrow are probably not the siloed experts we once sought. Instead they will be information generalists who understand how to take information from different fields, identify relationships others don’t see, and synthesize information such that they can tell a story others won’t know to tell.

How are we preparing the next generation of learners for this new future? How will schools need to change to help students prepare for the future in a world of abundant and easily accessible information? It certainly won’t be by feeding them content. Instead, the future of education lies in creating challenges where students need to synthesize information and recognize connections and patterns across different fields of study.

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Related: My ‘Transforming Our Learning Metaphors’ Ignite Presentation from almost a decade ago.

How good, how soon?

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I am still a little freaked out by how good the Google NotebookLM’s AI ‘Deep dive conversations’ are. The conversations are so convincing. The little touches it adds, like extended pauses after words like ‘and’ are an excellent example of this.

In the one created for my blog, the male voice asked, “It actually reminds me, you ever read Atomic Habits by James Clear?” And the female voice’s response is, “I haven’t. No.”

Think about what’s happening here in order to continue the conversation in a genuine way. The male voice can now make a point and provide the female voice ‘new’, previously unknown information. But this whole conversation is actually developed by a single AI.

How soon before you have an entire conversation with a customer service representative oblivious to the fact that you are actually talking to an AI? Watch a newscast or a movie unaware that the people you are watching are not really people?

I shared close to 2,000 blog posts I’ve written into the notebook, if I shared my podcasts too and it replicated my voice, I wonder how long it will be before a digital me could be set to write my posts then simultaneously do live readings of them on my blog? Writing and sounding just like me… without me having to do it!

As a scary extension of this, could I learn something from the new content that it produces? Could I gain insights from the digital me that I would struggle to come up with myself?

This is just the beginning. How much of the internet is going to end up being AI generated and filled with AI reactions and responses to other AI’s? And how much longer after that before we notice?

Now and the Future – iHub Grad Address 2024

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I can’t describe the joy of participating in grad at Inquiry Hub. These students are amazing. Our student focused show, with performances and videos that highlight the whole school are such a community building and community honouring event. The night warmed my heart, and I teared up more than once.

Here is my grad address. I really don’t have more to say, other than it was an evening that recharged my battery. It reminded me of why I love my job.

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Now and the Future – iHub Grad Address 2024

Greetings Honoured Guests, Parents, Family Members, Teachers, and Students including our very special Grads of 2024.

In your yearbooks, I wrote this as part of my message to you:

Asking questions is key to learning and I think at Inquiry Hub we do a pretty good job of getting students to ask good questions… and then answer them. There is a lot of conversations, dialogue, and debate that happen inside our school walls, and from that students learn not just about things, but they also learn the skills to discuss and negotiate and support their ideas in meaningful ways… and sometimes even to change their minds. A growth mindset is so much better to navigate life with, compared to a fixed mindset.

In a civil society, dialogue is the one problem-solving strategy that should be sacred. To do this, free speech is essential. But right now, outside the walls of our schools, there is a culture of ‘attack the opposition’ that is very scary. We need to be resilient when hearing opposing views, and understand that, we must be tolerant and accepting of opposing views, unaccepting of hateful and hurtful acts, and smart enough to understand the difference. When we can’t have conversations with people that have different views, we don’t grow as a culture or as a society.

That was a message for right now. There is so much conflict and strife in the world, and it can sometimes feel a little bleak.

But here’s the thing, I’m really excited about the future our grads have before them. It’s a future that is beyond my ability to predict, but I’m going to try anyway.

Our grads understand how to see the world from multiple perspectives.

You understand the challenges but you are also solution oriented. And you are going to have tools and strategies that no other generation has had. 

Here are four predictions:

  1. You will have better AI than we can imagine. What we think is amazing now will look like child’s play in the future. I didn’t have Google growing up, I had paper encyclopedias. In a few short years the Artificial Intelligence available will look to us now like what an iPhone would be to someone living in the 1920’s. (Oh, and by the way, I did not use AI to wrote this.)
  2. You will not live in a world that has an energy crisis, or one that harvests natural resources to create energy. Energy will be almost free if not completely free.
  3. You will live longer. Longevity research is reaching a point where more and more healthy years will be added to your life faster than you age.
  4. You will retire sooner. More of your life will be filled by doing want you want to do, rather than what you need to do to work and make an income.

All this to say that while it seems like us old folks have left you a pretty messed up world, we are less than a decade away from some key turning points where you have more freedom and choice, more access to cheap energy, and more free time than we could ever have imagined as recently as when you were in Grade 9.

It’s an exciting time to think about what the future holds, and when I think about you all as creators, artists, thinkers, dreamers, and leaders, I’m excited about your generation building the future I get to grow old in. 

Inquiry Hub isn’t perfect, but it is a very special school. It is a place where our students feel they belong. A place where you get to be courageous learners and leaders, and a place that I hope you carry fond memories from. 

To the class of 2024, I can’t wait to see what the future holds for you… and for what you will do to help shape that future. Be brave, be strong, and help build a community where everyone feels they have a place, and a way to contribute. 

Thank you.

With a Discerning Eye

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Yesterday, when I wrote ‘The inverted political bell curve’ about how politically many people have moved to the extremes. I ended by saying, “The bell curve is gone, only warring tribes remain, and the fighting is just going to get uglier.”

There are many reasons why I think this is true, and I think we are headed into a period before the US election where truth will be hard to discern, and extremist views will go viral. But I also think that many people can see it coming and will be ready. They will question, they will fact check, they will doubt the accuracy of what’s being spewed their way.

Will the extremes be loud, and will their messages be filled with personal attacks and un-researched facts that are actually fiction and propaganda? Yes.

But not everyone is going to listen. There are some savvy people who will be watching with a discerning eye. They will be the voices of reason. They will be as interested in determining the intent of the message as they will be in listening to it. They will hear something bad about a candidate they dislike, and still question the validity of what’s being said.

I don’t think this group will be a majority, but they will be present. And while yesterday I sounded like I saw a future of doom and gloom ahead of us, I also see some promise that not everyone is polarized and sitting on the extremes. And that keeps me hopeful that things might not get as messy as they could.

Watch the news and messaging on social media with a discerning eye in the coming months… question, fact check, and take the time to understand the context of things being quoted. We need common sense to prevail.

The Nvidia omniverse

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The future is here. In this quick video Nvideo CEO Breaks Down Omniverse, Jensen Huang discusses a virtual space where robots and Artificial Intelligence (AI) practice and rehearse their actions in a virtual space before trying things out in the real world. Specifically, he discusses car manufacturing and trying out designs of both machines and factories before physically building them, reducing rebuilding and redesigning time.

This is a game changer in the design of not just systems but in building physical things. The design phase of new products just got a steroids boost, and the world we know is no longer the world we live in.

We are now in an era of AI assisted design and manufacturing that is going to explode with amazing new products. Robots using AI in a virtual omniverse, trying out new creative ways to build new items faster, and more efficiently. Robots building robots that are tested in a virtual world, tweaked by AI, and retested virtually, tweaking the design of the very robots that will be building the new robots. Let that last sentence sink in… robots and AI redesigning other robots and AI… machines building and designing machines.

But that in itself isn’t the steroid boost. The real power comes from practicing everything first in this virtual omniverse world. Trying out the physics and dynamics of the new tools in an environment where they can be tested thousands and even millions of times before actually being built. This is where the learning is accelerated, and where things will move so much faster than we’ve ever seen before.

Products used to takes years of development to be built, but now a lot of that time is going to happen virtually… and with iterations not happening sequentially but simultaneously. So years of development and production design happen in moments rather than years. With the omniverse we are going to see an acceleration of design and production that will make the next few years unrecognizable.

It makes me wonder what amazing new products await us in the next 5-10 years?

AI and languages

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I just watched a video where the new Chat GPT-4o seamlessly translated a conversation between an Italian and English speaker. I know this isn’t the first tool to do this, but it’s the first time I’ve seen an example where I thought about how useful this is. It gave me the realization that instant language translation will revitalize diversity of language

In my travels, I’ve noticed that English is a language that is becoming more and more widespread. Not everyone knows English, but recently in both France and Spain I had far less challenges communicating compared to my travels to France 12 years earlier. I think this stems from a move towards everyone desiring to speak a common language. Want to be able to talk to people in most parts of the world? Learn English.

But maybe that desire will diminish now. If I get to speak in my mother tongue and someone who speaks English can hear a seamless translation, do I really need to learn English? Maybe in the future people will be less likely to pick up a new language? Will we see a slowdown in the acquisition of the English language?

While I think we’ll see this shift, it won’t be drastic. Yet I can see both positives and benefits to this. A positive is that people will be more likely to hold on to the language of their heritage. A negative could be that in countries with high immigration the effort to learn the country’s home language might be less desirable. While this won’t necessarily cause an issue communicating since these AI tools can help, it can potentially undermine the social fabric of the country.

And maybe that’s not as big a concern as I’m making it out to be?

Still, I’m excited about the ease with which I’ll be able to travel to countries where the primary language isn’t English. I look forward to having conversations I could not have previously had. Tools like this make almost every person in the entire world a possible acquaintance, colleague, and friend. That’s a pretty exciting thing to think about.

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As an aside, a lot of AI image creators still have issues with text, as the image accompanying this post demonstrates. This was my prompt: An English, Spanish, and French person sitting at a table, each saying “Good Morning” in their own language, in a speech bubble.

Dear Grocery Store

It’s time to enter the 21st-century and provide intelligent search in your stores.

Create an App that is a shopping list that automatically sorts products by the aisle that they are in. Have sensors that the app detects so that once in that isle, you can see right where the product can be found.

Yes, I know you make a lot of extra money selling stuff because people are searching, can’t find their products, and see other products to pick up, but here’s a better way to do it!

You have an extreme amount of data about what people buy together. Instead of relying on them accidentally stumbling upon something as they search, use the data you have:

1. Put things together that people have bought together on their past shopping experiences. There are hundreds of millions of orders you have already tracked on every receipt you’ve ever printed and stored. Yes, that might be challenging for someone who doesn’t use the app, however, you’re going to design the app so that it would be stupid not to use it.

Who knew that people who bought tacos also bought mango curry sauce… you do because the data says so. So, why not put them next to each other in the grocery store?

2. Use the bottom 1/4 of the App to a) suggest related items when an item is added to the list, and b) show related items or data-suggested items while looking for the next item on the list.

3. Personalize suggestions based on individualized purchase history. If someone adds taco shells regularly, remind them about taco shells or salsa the next time they buy ground beef.

4. Make the App features great. Make it ideal for other lists too, make it indispensable. Add features that might suggest other items if you are on a diet. Or let a vegetarian know that a sauce has meat products and suggest another one that doesn’t.

5. Don’t game this too much. We aren’t stupid. If we see that every item you suggest is by Kraft, or we see the same items again and again that your App is pushing to us for advertising kickbacks, we’ll know the App is made for you and not for us. Here’s a magical idea, don’t just say you put the customer first, actually put them first!

The days of forcing people down every isle for them to buy more products are over… or they will be for you if you competitor takes this App idea before you do.