Category Archives: John Mikton

Dear September

Some thoughts and reflections from a year of learning, sharing, and leading workshops, keynotes, and coaching for school leaders and educators, and, more importantly, teaching children ages 3 to 11. This year that thinking became a letter, written to September. 


Dear September,

Morning light study by KiloBlimp

I was thinking of you as an opportunity to begin, even though it’s the fall and it seems like the end of a season. For many educators, September feels different after a summer of rest. You come back with hope, with excitement, ready for what’s ahead.

As I write to you in June, after a full year, I have some thoughts, and maybe some anxieties, about what you’re going to bring to me, to my world, to the work I do supporting educators in schools. How this accelerated change surrounds us, mainly shaped by geopolitics and technology. What can we expect? I’m both excited and apprehensive.

Two things really stuck out this past year. One, doing the podcast I co-host International Schools Podcast, a guest, Warren Apel, Director of Technology, mentioned this idea, “the AI tool you are using today will be the worst tool you will ever use.” Part of this change is AI moving from answering to doing. That resonated, because it connects to how fast things have changed. I think there have been three or four moments this year where suddenly I felt a jump, in capacity, capability, in just how powerful this is becoming.

And then, facilitating workshops, I noticed participants are often bold in the breakout rooms, really willing to reframe school, to challenge what the value-added benefit of a human is in a world more and more run by AI. Another guest on the International Schools PodcastAdam Morris, Product Director: Integrations, Faria Education Group, shared the idea not engaging with AI is pedagogic malpractice. That got me thinking, part of what we’re doing wrong is thinking of AI as a tool, when actually it’s an ecosystem woven into everyday life, and keeps growing, often faster than we can keep up with.

And that pattern, bold ideas in the room, turns into caution once people return to their own context, I think it’s partly because we’re not aligned in our boldness, not all willing to start over, to think of the moment and the future rather than letting the past dictate. The hesitancy to be bold in a school setting has a lot to do with timetables, exams, the busyness, the organisational trappings, getting caught up in being human, in the feelings and emotions and seasons of how much capacity you actually have. What does it mean to change, not just enhancing what we already do, but really thinking from a blank slate. Whatever we did before, we’re not doing again, we’re thinking of something completely new.

I do this myself, in my own workshops and keynotes. I’m aware that if you provoke people, push them outside their comfort zone, there’s uncertainty, and uncertainty brings an emotion that can be defensive, a discomfort. Often the response is to push back, another is to ignore it, run from it. So I’m mindful of how important it is to stay relevant, and true with what people are actually dealing with, even though accelerated change often feels distant until it hits us personally or professionally.

But maybe we should be more uncomfortable, more often. Maybe if we got used to discomfort, we’d build greater resilience, greater capacity to adapt with agility. Not that people aren’t already adaptable, but the kind of adaptation this moment asks for, with AI ecosystems accelerating the way they are, is different. You take the hype with a pinch of salt, but there’s a sense that something is taking place, and it’s bigger than us at times.

This is why I want to get bored this summer. You know those rainy days as a child, nothing to do, sitting in your room a little annoyed, your parents telling you to keep busy, and then suddenly you start making something out of nothing. A toy off the shelf, a piece of paper, moving the furniture around to build a house, something imaginary. Just that capacity to sit there with nothing in your head and create anyway.

There’s no doubt the seamlessness of these AI tools is addictive. What’s easier than being able to quickly subcontract out our thinking and get something else to do it, maybe more efficiently, with greater depth than we are? This idea of cognitive offloading is something Tim Cook, who writes on cognitive privacy and AI in education, a guest on the International Schools Podcast describes well and shares in his writing, the difference between adults, who can lose a skill and still get it back, and children, who never built it and have nothing to get back to.

Think of what children have growing up around them, Alexa at home, watching parents talk to a chatbot, the sense that the answer is just there, that the process, the heavy lifting, doesn’t need to happen. Just the transaction, and the dependence on it. That might be fine for us adults, who’ve had practice with the grit of learning. But if we don’t protect that for children, if we don’t make sure they still engage with the struggle, they’re going to lose something they never had the chance to build. And for ourselves, we have to keep reminding ourselves, critical thinking, the heavy lifting, the resistance, the adaptability, these are essential. We have to be the guardians of that, however exhausting, however efficient the shortcuts on offer.

In my teaching context, I often observe this with the students I work with. They want the immediate answer, struggle to focus for long, avoid having to problem solve, and default to the teacher, for help or the answer. They want it now. And that need for instant answers comes at the cost of creativity, because if we can’t sit with something on our own, push through the difficulty, the effort of getting to a new idea, what are we losing? We need to teach this as a skill and a way of thinking to support a change in mindset against just wanting a quick answer and letting someone else do the thinking. We as educators need this too.

September. We want to change. But good grades, what parents and students expect, and schools still built for another time, all hold us back. How do we get comfortable with discomfort? How do we learn a new adaptability, completely different from our past?

And in the many conversations with school leaders, I notice we really want rules, a policy we can carve in stone and live by. We want artificial intelligence to be a set of tools we control, this one’s appropriate, this one isn’t. I understand why consistency, certainty, and rules matter. But are we willing to be flexible? The policy might need to shift every few months, even every few weeks. It’s really guidelines, not policy, knowing tomorrow it could change again. We need to model that with children too. Whatever tool we tie ourselves to today, ten more powerful ones are already coming, ones we don’t even know about yet. Our policy will already be behind.

This is a systemic change. It’s about a system, not a tool. The way we usually work isn’t built for this kind of accelerated change, systems that suddenly show up at home, in the car, online, everywhere around us. What can we do as leaders to keep remembering, the tool is not the focus. It’s the value-added proposition of us, of being human. How do we adapt and stay open to change, so that the value of being human is timeless whatever the latest AI tool release or upgrade ? Humans need to stay at the centre of this story, and we have to keep checking that what we think is right today might not hold tomorrow.

One small example of what that looks like in practice: I have a framework called CRITIC, built out of a lot of reading, a lot of other people’s work, nothing original really, just my own adaptation of what I’d learned. In one workshop, I gave it to a group of teachers as something to take and try between sessions. When we came back together, two of them shared what they’d done.

They’d used it with their own students, treating whatever the AI gave them not as the answer, but as something to question. What is it actually saying? What reasons does it give? What’s missing, a number, a source, an example. What other view could there be. What happens if we believed this and it was wrong. What would we actually go and check? And the teachers said their students started noticing the AI’s answer had a kind of curated voice to it, a perspective, even something like empathy that wasn’t quite real, and the only way to catch that was to slow down and really interrogate it, almost like being a detective.

That, I think, is the deviation worth having. Not using AI less, not using it more, being intentional, willing to plan and think deeply about how we put it in front of students, as a critical friend, a challenger, something cross-examined rather than copied. Because if we do that, it can only grow a student’s ability to think independently, instead of repeating back whatever was generated for them.

But I want to be honest about something that unsettled me more than I expected. I was working with a powerful AI tool for a short time in June. With it, you could give it complex tasks and it would generate artefacts, feedback, analysis, multiple engagements, as a critical friend or even as a challenger, and the quality of what it delivered was, for me, quite something. But then suddenly it got shut down, I won’t go into the details, by the time anyone reads this, something will likely have changed again. What I suddenly realised, and I’m guessing many others felt the same reading the articles afterwards, was that these systems we depend on are a bit like nectar. You taste it and realise how good it is, you want to use it, put it to work, and then you suddenly realise what happens when it is turned off. A government can order something this powerful to be shut down overnight, and the company has no real choice but to pull it from millions of users. And it becomes a bargaining chip. Maybe only a certain profile of people get to use it. Only certain companies. Only certain countries.

And suddenly the geopolitics of it, how technology companies and the power they’re generating through these AI systems, the infrastructure required, the impact on the environment, and then when these things become autonomous and powerful enough, how a government, or even an organisation, if they have the authority and the capacity, can shut everything down, and suddenly you’re left with nothing. It’s a bit like being an addict, and suddenly you don’t get to have it, and you go through the withdrawal. This made me think about how powerful these AI ecosystems, companies and technologies are. And how governments and organisations can really control our access to them, whenever they want

So maybe, September, what I’m really asking of you is for that renewal, the idea that yes, it’s the fall, it’s the end of a season, but I want to take that as a chance to think of it completely differently. Maybe September is the new spring. However uncertain things are, however much these systems will continue to reshape the world around us, I’m still excited by the fact that I’m human, that I have this capacity, if I give myself permission, if I plan for it, stay disciplined, and don’t reach for the shortcut, to go and get bored. Really bored. And then see what comes. 

John

Thanks to Warren Apel, Adam Morris, and Timothy Cook for the conversations that shaped this letter. And thanks to all the educators, workshop participants, articles, and podcasts I learned from this year

Is It Ever Too Early to Learn?

“She is always there. She never says no. She always has a nice voice.”
A Year 3 student, when asked why she likes her home voice assistant

This moment in the classroom, with students sharing what they liked about their home voice assistants, highlighted for me why it’s never too early to start teaching digital and AI literacy in schools.

In many classrooms, conversations about AI can tend to happen more in middle or secondary school. Educators often feel the tools are too complex, or the ethical discussions are too advanced for younger learners. Over the past two years, I’ve had the privilege to lead and facilitate many workshops with international school leaders and educators, and in many cases, the conversations seem to focus on ages 12 and up. But in my experience working with students aged 3 -11, this is a misconception.

Children are already surrounded by the digital world long before we introduce it formally at school. They see their parents on their phones, talking to Alexa while cooking dinner, asking Siri for directions in the car, or using AI-powered chatbots on social apps. These situations are more common than we often realize, and are their first interactions with artificial intelligence. And they’re happening at home, often with little guidance and few conversations explaining what’s really going on.

Even the  youngest students can begin to explore some of the key ideas behind AI. In early years classes, I start with pretend play and simple cause-and-effect activities using tools like the Sphero Indi robot. I use colored tiles to predict what the robot will do, opening conversations about instructions, sequences, and how machines “learn” from information they are given.

With students in Years 3, 4, and 5, I explore concepts like algorithms and personalization. Many are already using YouTube or even TikTok and can easily relate to how one video leads to another. I ask: Why do you think that video showed up next? Who decides what you see? These questions open up conversations about algorithmic predictions, bias, and the importance of pausing and asking questions.

I’m seeing more upper primary students, ages 10, and 11, using AI apps that simulate conversation or even friendship. Apps like My AI on Snapchat are often mentioned when we talk about what’s behind a chatbot. I create activities that help students reflect: Is this a real friendship? How is it different from talking to a friend at school?

Helping students understand that machines don’t have feelings, even if they sound like they do, is an important step in their learning. I explain that AI tools are run by algorithms, step-by-step instructions written by people. These tools might sound kind or caring, but they don’t think, feel, or care. Research shows that young children often believe voice assistants like Alexa or Siri can feel or understand. That’s why, in age-appropriate ways, I explain how AI systems are trained, how they collect data, and how they can sometimes get things wrong. I help students make the connection that, just like them, machines also make mistakes, but for very different reasons.

I then connect these ideas to hands-on experiences. Students code and create using tools like Indi SpheroBee-BotLEGO Spike Essential, and Ozobot. These activities help children see how giving clear steps to a robot is similar to how smart tools at home follow instructions, helping them understand that behind the “smart” behavior is a set of human-written rules, not real emotions.

I also explore:

  • Misinformation: We talk about what happens when someone shares a lie. What does it feel like? What’s the problem when this happens? Why do people lie? How does it make others feel?
  • Bias: We look at image searches on search engines and AI image generators. We ask: What do we notice when we search for “teacher” or “doctor”? Who’s missing? How might this be different from your own experience?
  • Media Literacy: Students create their own fake headlines or altered images, learning firsthand how easy it is to mislead others, and how important it is to ask questions.

Digital and AI literacy isn’t just about understanding how technology works. It’s about building habits of critical thinking, empathy, and responsibility.

In a Primary Years Programme setting, and the same applies in other curriculum contexts, we already emphasize critical thinking, empathy, and action. These values align well with conversations about AI ethics. When students understand why it’s important to check sources, think before they share, get more than one perspective, and reflect on how algorithms shape what they see, we start to provide them with a toolkit to navigate the digital world with care.

This is especially important as AI becomes more present in their daily lives, often in quiet, seamless ways. The child who turns to Alexa because it’s always “available” may not yet realize that real relationships are built on kindness between people, not just what’s easy. But for that kind of learning to develop, a teacher is essential.

Some of the learning I engage with:

  • EY, Y1, Y2: Explore pretend play, altered photos, or “real vs. not real” objects. Use simple language like “true” and “trick” to start conversations about misinformation.
  • Y3, Y4: Introduce recommendation systems through YouTube or Netflix patterns. Encourage questions like: Why does this keep showing up? Who decides what I see?
  • Y5, Y6: Dive into algorithms, AI-generated text or images, and ethical questions around chatbot use. Use inquiry units to explore bias, authorship, and media influence.

This is a shared responsibility that all educators need to support one another in. And as school leaders, we need to create the time, space, and understanding that respects that every learner, child or adult, connects with learning in a different way.

In a world where AI is becoming part of students’ daily experiences, our responsibility is to design purposeful activities, building the students’ capacity to ask helpful questions, notice things, connect ideas, and make careful choices

On a recent episode of the podcast I host, one guest, an AI EdTech entrepreneur, was candid: “Not teaching and engaging with AI literacy in schools is pedagogic malpractice.” A strong statement. I see it more as an invitation, a reminder of the opportunity we have to be present in this moment. Amongst all the demands teachers manage each day, we can still find meaningful ways to ensure primary school students build the knowledge, skills, and values to engage with a world that is only becoming more complex and nuanced.

I am grateful to my PLN for all the sharing, resources and ideas I get to learn from. A special shout out to Cora Yang and Dalton Flanagan, Tim Evans Heather Barnard, Tricia Friedman and Jeff Utecht who continually share generously resources and strategies targeted to Primary age students.

Resources Referenced

a letter to AI

2025, this will be the year whatever I write—you will have your imprint and input on it. Be it for grammar, syntax, spelling, brainstorming, or just checking if something makes sense, questions, the sentence flow, etc. All communication, writing… mine and around me you will be there. So this one I am doing alone, my spelling, sentences and ideas might be fragmented with errors, but for this time I am fine with that.

I get it, things are changing very fast and I should get used to it. I do try to keep up, read, search, connect, and even teach about you, but there’s so much.

You have changed my day… Okay, I will also give credit to the nine technology companies—four in China, five in the United States of America— choreographing who controls: your power, your capacity, when and where you show up. I get the sense they are all in a race  – control, power, profits… and leave the ethics and regulation for others to guess and deal with. 

I’m not against you. I appreciate all your tools and capacities that I use; they’re amazing. I so appreciate the positives in science, medicine— again reminding me of your benefits. I hear this year you get to help me even more as an agent, an autonomous synthetic personal assistant that can do tasks for me, that is clever – and I am curious. You continue to seduce and fool me at the same time. Just yesterday you showed up on my feed as an AI influencer, with millions following you. I will be honest, I thought you were real. I tell you it’s just becoming more difficult to know who is who, or who is what?

I get it; harvesting my life  is the cost for using you. Oh I wanted to tell you that someone who really likes you are my students. They tell me you are reliable, do not get angry, have immense patience…always happy to answer their questions whatever they may be. They have been seduced.

I keep noticing that daily you show up somewhere new. Sometimes it‘s obvious and at times I have no idea… it’s not clear who is checking up on you. So many models and versions of you. This claim about alignment and guardrails, but I’m not convinced they always work. I get the sense that to thrive you need an open unregulated space, only answerable to yourself and the companies creating you…. They say there is no manual, and no one is really sure how you work. Really?

I need to pinch myself to make sure I understand my reliance on you? The fact that you struggle and do a terrible job of being unbiased and non-racist. This sucks. Then your whole deepfake -cyber crime and helping bad actors thrive. You need to know people are getting hurt…your dark side is so dark. 

I try to tell myself you are another innovation, like the web, search, smartphone, or social media. Sorry to tell you, you are quite different. You understand me, our interactions feel frictionless. Okay you do say odd things, at times, it is like if you were hallucinating. Fact: you are not 100% accurate. That said, when it is me and you interacting…I forget a lot of this…. even if you keep everything I say or do for yourself.

I have said this before,  I do appreciate you — so helpful. I get it; for all this to happen you need a huge diet of algorithms. The whole nuclear energy thing your companies are into just feels wrong. 

You have had my attention for a long time already…. scrolling, reels, notifications, binge watching, you tell me this is not enough. Now you need my intentions… that feels more intrusive and unsettling. You want to know me better than myself. 

—do I have a choice?.

Thank you

John

Reference: 

C​​oming AI-driven economy will sell your decisions before you take them, researchers warn

https://www.cam.ac.uk/research/news/coming-ai-driven-economy-will-sell-your-decisions-before-you-take-them-researchers-warn

Co-Intelligence: AI in the Classroom with Ethan Mollick | ASU+GSV 2024

Unmasking Racial & Gender Bias in AI Educational Platforms

https://www.aiforeducation.io/blog/ai-racial-bias-uncovered

AI automated discrimination. Here’s how to spot it.

https://www.vox.com/technology/23738987/racism-ai-automated-bias-discrimination-algorithm

Deep fake Lab: Unraveling the mystery around deepfakes.

https://deepfakelab.theglassroom.org/#!

Nine companies are steering the future of artificial intelligence

How School Leaders Can Pave the Way for Productive Use of AI

https://www.edutopia.org/article/setting-school-policies-ai-use

Generative AI: A whole school approach to safeguarding children

https://www.cois.org/about-cis/perspectives-blog/blog-post/~board/perspectives-blog/post/generative-ai-a-whole-school-approach-to-safeguarding-children

Recalibration of Truth

Photo John Mikton

In our rapidly changing digital age, the idea of truth is undergoing a significant change. In the past, truth was often taken from shared experiences and clear agreements. Today, truth often is manipulated by social media, algorithmic biases, polarization, organizations, companies, and in more instances governments,  fueling the algorithms that influence what we see, hear, and believe.

I refer to this as a recalibration of truth. This new landscape requires us to navigate the complexities of deep fakes: video and voice, misinformation, and the algorithmically curated digital environments that condition our understanding of what is real and true.

Aldous Huxley’s “Brave New World” reminds us, ” Each one of us, of course, is now being trained, deliberately, not to act independently.”  Written in 1932, this quote resonates for me, in a world where we are tethered to our devices, influencing and amplifying our wishes and perceptions, often unconsciously. The world we live in has become a digital ecosystem that curates 24/7 our understanding of the world around us, guiding not just our hopes and dreams but also our understanding of truth.

Throughout history, the concept of truth has always been complex, with each era having its own unique ways of curating information. There was a time, not too long ago when agreements and truths were often established through a handshake or verbal agreement. Nowadays, our point of reference is formal contracts and notarized documents. This in many ways is a natural shift of our time in how we understand and evaluate truth. The digital age has only accelerated this shift, flooding us with a constant stream of feeds and push notifications. The overabundance of information and our ability to process it has led to what Maryanne Wolf, author of Reader Come Home: The Reading Brain in the Digital Age, calls ‘skim reading.’ The act of ‘skim reading” dilutes our attention span and reduces our capacity to fully engage with information, affecting our ability to pause, analyze, and read critically and deeply.

The recalibration of truth today involves more than just the weakening of the traditional concept of truth; it involves understanding truth’s new tools and architecture. The accelerated presence of artificial intelligence and the widespread influence of algorithmic curation challenge us to engage with information in entirely new ways. The emergence of synthetic media, such as deep fakes, further complicates our ability to trust what we see, hear, and feel, causing us to question the reliability of our senses.

Schools and educators play a critical role in addressing this recalibration of truth. The abundance of information available to us and our students is seamless and frictionless, yet its accuracy is often questionable, highlighting the vital importance of teaching digital and information literacy. These skills are and will continue to be, essential for evaluating information, cross-referencing sources, and understanding the mechanics and algorithms of the digital content we interact with.

As we navigate this new landscape, we need to be open to reevaluating our priorities, focusing on the development of critical thinking, ethics, and empathy. It’s about being willing to break away from the past and being comfortable to explore new resources, professional learning, and dispositions to navigate the challenges brought about by a recalibrated notion of truth. This underlines the importance of developing learning pathways focused on digital and information literacy, ensuring that our students have the skills and critical thinking agility to live in a world where truths are continually recalibrated.

I believe that as educators and schools, we have a responsibility to ensure our students are not merely passive consumers of edutainment but rather critical thinkers skilled at navigating the complexities of this recalibrated truth in the digital age

“But I don’t want comfort. I want God, I want poetry, I want real danger, I want freedom, I want goodness. I want sin.”  Aldous Huxley’s “Brave New World”

Sources and Resources to further explore: 

“Brave New World by Aldous Huxley.” Goodreads, https://www.goodreads.com/book/show/5129.Brave_New_World

Wolf, Maryanne. “Reader, Come Home – HarperCollins.” HarperCollins Publishers, https://www.harpercollins.com/products/reader-come-home-maryanne-wolf?variant=32128334594082

Reading behavior in the digital environment: Changes in reading behavior over the past ten years: https://litmedmod.ca/sites/default/files/pdf/liu_2005_lecture_numerique_competences_comportements.pdf

Updates ‹ AI + Ethics Curriculum for Middle School — MIT Media Lab
https://www.media.mit.edu/projects/ai-ethics-for-middle-school/updates 

Carlsson, Ulla. “Understanding Media and Information Literacy (MIL) in the Digital Age.” UNESCO, https://en.unesco.org/sites/default/files/gmw2019_understanding_mil_ulla_carlsson.pdf

How deep fakes may shape the future
https://theglassroom.org/en/misinformation-edition/exhibits/how-deepfake-may-shape-the-future

FAKE or REAL? Misinformation Edition
https://fake-or-real.theglassroom.org/#/ 

John Spencer: Rethinking Information Literacy in an Age of AI. https://spencerauthor.com/ai-infoliteracy/.

AI Digital Literacy: Strategies for Educators in the Age of Artificial Intelligence https://blog.profjim.com/ai-digital-literacy-citizenship-best-practices/ 

Artificial Intelligence for Educators: Essential Podcasts

Understanding and navigating the complex layers of the rapid changes AI introduces can be overwhelming. These accelerated changes, brought on by AI, impact numerous aspects of our lives: from our professional and social spheres to culture, politics, technology, and ethics.

For educators, staying updated and engaged with this topic, amid our many other responsibilities and tasks, is a challenge. However, the influence of AI in education is undeniable and will undoubtedly play a crucial role in our students’ futures. Living alongside AI has become a reality of our time. It’s vital to craft learning experiences that not only offer the skills and knowledge to leverage AI’s potential benefits in the classroom but also address the necessary precautions these technologies demand.

Here’s a list of podcasts focusing on Generative AI, ChatGPT, and Large Language Models. This list serves as a comprehensive set of references on the subject, offering an overview and clarifying technical nuances. Moreover, from various voices and perspectives, it delves into the ethics and dynamics of these emerging technologies. Often, these discussions raise more questions than they provide answers.

Prompting Strategies for Educators Using ChatGPT and LLMs

As more educators and students begin to use Large Language Models (LLMs) such as, ChatGPT, Bard, Claude, and others, one of the key challenges is understanding how to use prompts effectively to refine and build upon responses. 

A prompt refers to a question, statement, query, or task that is entered into the text box of a Large Language Model (LLM) such as ChatGPT, Bard, or Claude. It assists the Large Language Model in understanding the intent of the person who is typing, whether it be a question, statement, or task, and then generating appropriate responses to address the question, statement, or task. Teachers can try various prompts in order to generate specific information or explore different subjects. When working with prompts, it is important to take the time to review the response and seek additional clarification, definition, or specificity through further prompts. The information can be at times incorrect, or inaccurate, hence double-checking is a key step in learning how to prompt. 

Using prompts can help both students and educators access more targeted and accurate information, facilitate deeper learning, and promote critical thinking skills. It is important to understand prompting requires patience and practice. To develop proficiency in prompting, there are several resources and strategies worth exploring shared below. One example of an effective approach is to start by writing thoughtful and targeted prompts that align with specific learning objectives. For example, if the objective is to learn more about a historical event, a prompt could be written to ask about the causes, consequences, and key players involved.

Another strategy is to provide students with examples of well-crafted prompts and encourage them to analyze and evaluate them. By examining successful prompts, students can develop a deeper understanding of what makes a prompt effective and apply these to their own work.

Educators can use technology tools such as chatbots and interactive dialogue models to help students practice and refine their prompting skills in a safe and controlled environment. 

In our respective school settings, it is important to ensure that our curriculums of digital literacy integrate Large Language Models (LLMs). This skill is becoming essential as these AI tools seamlessly integrate into the digital ecosystems we engage with, both in school and in our personal lives. Developing proficiency in prompting is important for educators and students alike, as it represents a new essential skill of digital literacy. Taking the time to learn the strategies, approaches, language, and questioning techniques for effective prompting is very much like the early days when we were learning how to use search engines and terms. Acquiring solid prompting skills not only supports the development of critical thinking but also equips us to navigate the complexities of the information age. Mastering the skill of digital and information literacy to harness the potential of natural language models provides students and educators with the necessary tools to be critical thinkers with all the information and data that surrounds us.

Here are a few resources every educator must have in their toolkit, check it out!

A Teacher’s Prompt Guide to ChatGPT
Short instructional teachers guide to using ChatGPT pdf download

50 ChatGPT Prompts for Teachers:
https://classtechtips.com/2023/03/15/chatgpt-prompts-for-teachers/

Seven Suggestions for Saving Time With ChatGPT by shiftingschools.com
https://www.shiftingschools.com/free-pdfs 

100 Prompts for Teachers to Ask ChatGPT
https://youtu.be/mxC6QA_KYX8?t=2

From @herfteducator A Teacher’s Prompt Guide to ChatGPT https://usergeneratededucation.files.wordpress.com/2023/01/a-teachers-prompt-guide-to-chatgpt-aligned-with-what-works-best.pdf

From Ted Pickett @Mr.Pickett
https://www.youtube.com/watch?v=viLLY1EyAx0&ab_channel=TedPickett

Dr. Phillipa Hardman from Cambridge University ChatGPT Edu-Mega-Prompts
https://drphilippahardman.substack.com/p/introducing-chatgpt-edu-mega-prompts?utm_source=profile&utm_medium=reader2

How to write an effective GPT-3 prompt  https://zapier.com/blog/gpt-3-prompt/

3 Principles for prompt engineering with ChatGPT
https://www.linkedin.com/pulse/3-principles-prompt-engineering-gpt-3-ben-whately/

ChatGPT Guide: Six basic prompt strategies
https://the-decoder.com/chatgpt-guide-five-basic-prompt-strategies-for-better-results/

Advanced ChatGPT Prompt Tutorial 

Strategies for ChatGPT prompting
https://community.openai.com/t/strategies-for-chatgpt-prompting/25311/1 

Terms Definitions: Artificial Intelligence and Natural Language Processing Models

In recent years, there has been a remarkable surge of attention and resources focused on artificial intelligence (AI). This topic has been further amplified by the sudden appearance of ChatGPT and the development of Large Language Models (LLMs) models. While these changes hold immense promise, the constantly evolving terminology, acronyms, nouns, and labels associated with AI can feel challenging to unpack and understand.  

As educators, it is vital for us to have a good grasp of AI definitions and terminology, particularly when it comes to integrating these technologies into the classroom. Not only does this knowledge support our capacity to effectively communicate with our students and colleagues, but it also empowers us to integrate these tools into our lessons and units.

A good understanding of AI terminology supports educators with the tools to navigate ethical considerations associated with AI implementation, such as bias and privacy concerns. By delving deeper into these concepts, educators can support their students in developing critical thinking skills and preparing them to tackle the ethical dilemmas they may encounter as they navigate the digital world.

While the abundance of AI resources available can be overwhelming, it is important for educators to find time to become familiar with AI terminology and concepts. This is an important step for those seeking to integrate AI into their classrooms.

By taking the time to understand AI terminology, educators can navigate the complex landscape of AI with greater confidence and integrate it into their classrooms .

AI terms + education: A glossary of what you need to know
https://www.turnitin.com/blog/ai-terms-education-a-glossary-of-what-you-need-to-know

Glossary of Artificial Intelligence Terms for Educators
https://sites.google.com/ncsu.edu/ai-engage/nexus-conversations/nexus-blog/glossary-of-artificial-intelligence-terms-for-educators

A glossary of AI terms for education
https://nationalcentreforai.jiscinvolve.org/wp/2022/08/31/a-glossary-of-ai-terms-for-education/

Seven top AI acronyms explained
https://www.theguardian.com/technology/2023/feb/28/techscape-black-box-neural-networks-ai-acronyms?CMP=Share_iOSApp_Other

AI and IA terms explained
https://aibusiness.com/ml/every-rpa-ai-and-ia-term-explained

Machine learning acronyms and abbreviations
https://github.com/AgaMiko/machine-learning-acronyms

The Spaghetti Soup of Artificial Intelligence (AI) Definitions https://servisbot.com/ai-definitions/
ns/

17 AI Terms and Acronyms You Need to Know
https://medium.datadriveninvestor.com/17-ai-terms-and-acronyms-you-need-to-know-1e22e09c8bd5

Lesson Planning With Chat GPT Large Language models (LLMs)

There is understandably a level of apprehension around the sudden arrival of AI and Large Language Models like ChatGPT, Bard, and Claude in the education space. The various narratives often highlight the issues of plagiarism, students using these models to answer exam questions, and conducting research with AI, completing lesson tasks with AI. These situations, at first glance, bring about valid concerns and issues that all educators, at some level, have to engage with or will in the near future. There are definitely many aspects related to large language models (LLMs) that can often generate an alarmist response or raise valid concerns regarding the ethics of using them in an educational setting. These concerns are very important to address and support educators with professional development and open, honest conversations. Ignoring these conversations will only create a greater sense of disconnect between the rapid technological changes in our lives and the role and importance of educators in the learning journey of schools.

For all of us, it boils down to a disposition and mindset where we understand that we are in an age of cohabitation with AI and Large Language Models (LLMs). With this coexistence, there are numerous interesting opportunities to leverage these models in order to support educators, as well as cautions and reflections to discuss and share within schools. Once again, using the lens of “what is the added value of our role in the education landscape in an age of LLMs,” one of the ways to leverage large language models (LLMs) like ChatGPT, Bard, and Claude is to support teachers in creating differentiated lesson plans and activities.

In this post we look at Lesson Planning. (LLMs) can assist teachers in breaking down the lesson planning process and clarifying learning objectives efficiently. With access to vast data and information, these models provide a comprehensive overview of the subject matter and generate novel ideas. They can support teachers in catering to students’ diverse learning styles and needs by offering personalized activities and differentiated instruction.

To leverage large language models (LLMs) effectively, understanding and utilizing prompts is crucial. Well-designed prompts guide LLMs to align their responses with desired outcomes, ensuring content generation that matches learning objectives. Prompts are a new skill for teachers to explore when working with LLMs, but they streamline the lesson-planning process. Specific prompts save time by eliminating resource searching, enabling the creation of quality, differentiated lesson plans that cater to diverse student needs. This highlights how cohabitation with large language models (LLMs) can be an asset to a teachers workflow.

Articles
Lesson Plan: Teaching and Learning in the Era of ChatGPT
In this article students explore the  design of both ethical guidelines and curriculum projects that use the tool for learning.

With ChatGPT, Teachers Can Plan Lessons, Write Emails, and More. What’s the Catch?
In  the article the author explores some strategies and feedback from teachers leveraging ChatGPT for lesson design and planning.

How To Use ChatGPT for Teaching: 5 Ways Teachers Can Utilize ChatGPT
The author shares five examples of how ChatGPT can support teachers in their daily tasks.

6 Ways to Use ChatGPT to Save Time Teachers can use the artificial intelligence tool to effectively automate some routine tasks.
Edutopia shares a variety of strategies on leveraging LLMs to support and take on routine tasks in an educators day.

Jackie Gerstein, Ed.D. ChatGPT with My Students|
Jackie Gerstein provides a series of approaches and strategies on how to leverage ChatGPT with a variety of activities and lessons strategies.

Leveraging ChatGPT: Practical Ideas for Educators
ASCD shares strategies to explore to have ChtaGPT support teachers with  inquiry-based instruction.

Lesson Planning

Let ChatGPT Be Your Teaching Assistant In this article a variety of strategies explore sing AI to lighten an educators workload.

Using AI to Help Organize Lesson Plans
In this Edutopia article the author explore how AI tools like ChatGPT can help educators find activities that are set up to teach designated skills.

ChatGPT for Teachers – Doing an hour of work in 6 minutes!
Ted Pickett @Mr.Pickett shares some concrete examples of how he leveraged C hatGPT3 to develop a lesson plan with a series of activities, and engagement around an English class he teaches. Partial tips highlighting the power of these tools for lesson planning 

Lessons with ChatGPT: A Step-by-Step Guide
New EdTech Classroom @NewEdTechClassroom shares a detailed step-by-step guide on how to potentially use ChatGPT 3 to develop lessons, this focused more on the strategies that can be leveraged for different lesson subjects and age groups

Using ChatGPT to Create a Lesson Plan
Learning and Technology @LearningandTechnology here demonstrates ways to consider using ChatGPT for the different steps of a lesson plan using the BOPPPS  model which is an acronym for the 6 components of a lesson. The components are Bridge-In, Outcomes, Pre-assessment, Participatory Learning, Post-assessment, and Summary.

AI Deep Fakes Media Literacy

In today’s digital landscape, we are constantly bombarded with an overwhelming amount of information and media through various channels, such as smartphones, laptops, and social media. While this has certainly transformed the way we consume news and information, it has also raised concerns about the authenticity of the content we encounter. The advent of deep fake technology is exacerbating this issue, where manipulated images and videos can be created to appear real and spread rapidly across online news feeds.

As AI continues to advance at an unprecedented rate, the potential misuse of deep fakes to spread misinformation and propaganda poses a growing challenge to democratic processes. Election campaigns and public opinion are often targeted by malicious actors seeking to sway outcomes through the sharing of fake news and manipulated images and videos. This, in turn, erodes public trust in many organizations and institutions and the capacity for communities to find shared consensus on many issues.

To address this, developing the skills and dispositions necessary to identify and discern deep fakes from genuine sources is an essential skill. This includes the ability to evaluate information sources critically, identify any biases, and understand the technical aspects of digital media manipulation. Without these essential skills, students and educators are at risk of not being able to identify deep fakes and other forms of disinformation.

As educators, we have a responsibility to prepare students for the digital world and equip them with skills to navigate the ever-changing media landscape. Media and information literacy skills foster an informed and engaged school community, empowering students to make informed decisions based on accurate and reliable information.

However, the rapid changes in information consumption and media communication tools have created a new and unfamiliar landscape for many educators. The rise of AI and deep fakes has amplified the need for providing professional development opportunities for educators to support effective teaching of media and information literacy.

Schools can ensure educators have the necessary skills by offering professional development, allowing them to equip students with the skills needed to navigate the evolving media landscape and become responsible consumers of media, active participants in civic life.

Strategies to support educators to identify deep fake pictures or videos

(source: https://elearningindustry.com/teaching-children-about-deepfake-technologies https://www.media.mit.edu/projects/detect-fakes/overview/

  • Teach to evaluate the source of the picture or video. Look for reputable sources and consider the context in which the picture or video was taken.
  • Be aware of any alterations in the picture or video. This can include identifying inconsistencies in the lighting, colors, or shadows.
  • Listen carefully to the audio in a video. Deep fake videos may have audio that is not synchronized with the visuals.
  • Look for signs of manipulation. This can include identifying glitches in the video or noticing any unnatural movements of objects or people in the video.
  • Cross-check the information in the picture or video with other sources. This can help verify the authenticity of the picture or video.
  • Become familiar with the technical aspects of digital media manipulation. Understanding the use of facial mapping and other techniques used to create deep fake videos.

Further approaches to explore with students

  1. Teach critical thinking skills by asking questions about the content they consume. Analyzing sources for accuracy, objectivity, and bias is a key part of this process. Guide students to approach information with a critical eye.
  2. Use real-life examples of deep fakes and misinformation, and challenge students to identify them. Recent news articles and examples from social media can be useful in illustrating the concept. This approach helps understand the real-world impact of deep fakes and misinformation.
  3. Create hands-on activities where students create their own content, such as short videos or social media posts. This gives students experience firsthand of the technical aspects of digital media manipulation and the impact it can have on the authenticity of the content. Creating their own content also helps students develop the skills to evaluate information critically.
  4. Collaborate with other teachers to integrate media and information literacy skills across different subjects. Include deep-fakes. Explore the technical aspects of deep fakes, and through critical thinking skills & activities analyze news articles and sources. These cross-disciplinary approaches support students to better understand the complex multifaceted nature of media and information literacy in the age of A.I. cohabitation.

Articles framing the context

What are deep fakes – and how can you spot them? 
Deep Fakes Explained MIT Sloane School of Management

Resources to support educators and students

Teaching Children About Deepfake Technologies
https://elearningindustry.com/teaching-children-about-deepfake-technologies
Overview of some strategies to explore and use in the classroom to support children
Media Literacy in the Age of Deep Fakes
https://deepfakes.virtuality.mit.edu/
A in depth look at Media Literacy in the context of Deep Fames by MIT educator literacy project
Deepfakes: When you can’t believe your own eyes
https://newslit.org/tips-tools/deepfakes-when-you-cant-believe-your-own-eyes
Explaining how deep fakes are.
Deep Fake Literacy: Creating, using , misusing and detecting Synthetic Media
ttps://www.youtube.com/watch?v=9DLxLY-KY4I
Webinar walking through the steps of detecting deep fakes.
Fakeout
https://www.timeforkids.com/g56/fakeout-2/
From Time Magazine an article to support students understanding deep fakes
Deep Dive into Deep Fakes: Media Literacy in a World Where Seeing Is no Longer Believing
https://www.slj.com/story/Deep-Dive-into-Deep-Fakes-Media-Literacy-in-a-World-Where-Seeing-Is-no-Longer-Believing
The School Library Journal in-depth look at Deep Fakes through the lens of information literacy
Lesson plan; Detecting deepfakes — don’t be fooled by disinformation
https://annmichaelsen.com/2022/12/15/lesson-plan-detecting-deepfakes-dont-be-fooled-by-disinformation/
A lesson plan to support this topic for MS and HS students
Deepfakes: Resources for All Age
https://programminglibrarian.org/blog/deepfakes-part-2-resources-all-ages
American Library Association Public Programs Office share a portal of resources on the topic of Deep Fakes
Skin Deep: Deep Fakes and Misinformation
https://tacticaltech.org/news/skin-deep-deepfakes/
An in-depth look and resources to build lessons witgh students and/or activities for educators PD on the topic of deep fakes
Media Literacy: Deepfakes
https://guides.lib.lsu.edu/medialiteracy/deepfakes
Louisiana State University Library resource page to better understand Deep Fakes and information literacy

Digital Citizenship to Digital Fluency

Alzette Luxembourg Photo J.Mikton

2020 is an opportunity for schools to re-explore their relationship to digital citizenship. The growing erosion of our privacy as well as our amplified cohabitation with Artificial Intelligence (AI) present us with new challenges.

We are tracked 24/7 with digital ecosystem grids which have become seamless and frictionless parts of our daily routines. In (The Age of Surveillance Capitalism), Shoshana Zuboff describes this process of tracking. She calls the information that makes up these digital ecosystem grids “behavior surplus“. Behavior surplus is the personal data that we leave on our devices and give away daily based on a mutual agreement (user agreements) between the digital companies and us. These agreements (when is the last time you read a user agreement?) give permission for our behaviors online/offline to be tracked, collected, monitored and analyzed by companies and in some cases governments at will. The purpose of “surveillance capitalism”  is to leverage this “behavior surplus” to mitigate the uncertainty of our desires and to better predict what we will do. This is then turned into a profitable commodity. The value of our “behavior surplus” is unprecedented and the raw material of human data is fueling the engines of innovation, economics, politics and power.

Over the past few years, AI has had a growing impact on our lives, more often than we realise. Daily, it seems we develop a growing dependency on this cohabitation with AI: be it our GPS, HomeAssistant, iRobot vacuum cleaner, Health Device, DatingApps, SmartWatch, or SmartTV.  For our students, this seamless integration of AI into our lives often comes as a frictionless change. Tik Tok is a great example of this – a social media platform with sophisticated AI and unprecedented tracking algorithms, which in a short time added 1 billion users. Overnight, Tik Tok become a teen favorite and serious competition to Snapchat and Instagram.  For many educators, new digital consumables are embraced with hesitancy but somehow often the convenience is enticing enough for us to succumb to the charm of the “smart” and “wifi“ ready products.

I have worked with groups of educators and students to build a series of lessons around ARTE’s Do Not Track  in order to highlight the complexity and intricacies of how we are tracked. The different episodes are thoughtfully constructed with interactive components breaking down the erosion of privacy. I am surprised how often a percentage of students confidently express their indifference with this erosion of privacy and its implications. In some ways this makes sense. If the current privacy landscape is the sole point of reference, the current state of privacy is interpreted as normal. In comparison, educators interacting with ARTE’s Do Not Track respond with far more anxious discomfort as for many this erosion is compared to experiences where individuals felt greater control over their privacy. As we re-explore digital citizenship, we need to take these varying perspectives into consideration.


The fact is that most of our students are highly proficient digital consumers and not digital natives. The same goes for many educators in general. If we think of our own interactions with digital environments, it’s very likely that most of our time is focused on consumption.

We need to consider re-framing how we support educators and students in a school setting away from a sole focus on digital citizenship to a broader focus on digital fluency. This requires us to develop an approach where the focus is on developing purposeful connections to our digital ecosystems with the goal of becoming ethical digital creators of content. 


The concept and idea behind digital fluency is built on the work of the DQ Institute and its well thought out DQ Framework and the 8 digital intelligences. Digital fluency is facilitating an approach where learning opportunities are constructed around the natural connections of our day to day lives with these 8 digital intelligences. The important aspect of this focus is not excluding other essential learning in the curriculum. To make this meaningful, digital fluency needs to have clear connection points to personal experience, ensure these connection points are purposeful, and build on the learning already taking place in a school’s curriculum. 


This image has an empty alt attribute; its file name is uhCWrq6Bi1Q_OelporE3rsrrYFrpPNC1c1RhakRblXTHM7XnQelxVSwZH363goUXCgDd5amRbpH0lUIoDy6wultB3aDg-ZYdCNzdRkQ8yQaS5vORy_ApjE5xKvcx6YwPRQH4Klqh

The above graph is one sample of several surveys done with middle school students asking them what areas of the DQ Framework they would like to learn and focus on. Interestingly, there was a clear pattern across several groups for Digital Safety as the highest priority (from the DQ Competencies.)


An important aspect of this is allowing student voice to actively guide the design of these digital fluency connections. They are identifying valuable needs and ensuring this open communication is key to making this shift meaningful to them.


Here are some examples of what digital fluency could look like, and what some schools are already actively creating. One example is giving high school students a LinkedIn account and spending time supporting what it means to have a public profile and how to curate a positive digital footprint compared to a personal social media footprint. Other schools are creating blended courses for parents on how to understand the difference between the pedagogic use of digital devices in schools and the challenges of a more open ended environment of digital device use outside of school in the home. Another example is having students develop public service announcements regarding malware and then coaching younger students on how to identify phishing emails and how to manage an antivirus app. Another is walking through the architecture of effective password creation and developing sustainable strategies to ensure a solid level of security in the students personal lives as a podcast. Or having students coach their parents through the privacy and security settings of their favorite app and create a how-to help screencast.

It is through these activities that participants build on a set of dispositions, skills and knowledge where they feel a sense of autonomy in addressing the complexities, challenges and opportunities of the digital ecosystems we are so intimately connected to. 

The new decade at our doorstep will be intrinsically connected to cohabitation with AI and a dilution of the autonomy we have with our privacy. Scaffolding digital fluency as an essential part of learning provides a guide for students to shift their energies away from being passive digital consumers. Digital fluency provides a mindset to better understand the importance of the ethical responsibilities of digital creation and the implications of the digital ecosystems which permeate our lives, both visible and invisible. Ignoring this will just amplify a society of passive digital consumers, while eroding our free will.

John Mikton

Sources-References

The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power by Shoshana Zuboff.” Goodreads, Goodreads, 15 Jan. 2019, https://www.goodreads.com/book/show/26195941-the-age-of-surveillance-capitalism
Asthana, Anushka, et al. “The Strange World of TikTok: Viral Videos and Chinese Censorship – Podcast.” The Guardian, Guardian News and Media, 7 Oct. 2019, https://www.theguardian.com/technology/audio/2019/oct/07/strange-world-tiktok-viral-videos-chinese-censorship
Written by Yuhyun Park, Founder and Chief Executive Officer. “8 Digital Skills We Must Teach Our Children.” World Economic Forum, www.weforum.org/agenda/2016/06/8-digital-skills-we-must-teach-our-children/.
DQ Framework: “What Is the DQ Framework?” DQ Institute, http://www.dqinstitute.org/dq-framework/.
“Coalition for Digital Intelligence.” Coalition for Digital Intelligence, www.coalitionfordigitalintelligence