Tag: artificial intelligence

Must-Read Books to Unlock the Secrets of AI and Large Language Models

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Artificial intelligence has rapidly evolved from a futuristic concept to an integral part of our daily lives. Large Language Models (LLMs) like ChatGPT, Bard, and Claude are revolutionizing how we interact with technology, but how do they work? If you want to understand the technology behind AI, deep learning, and LLMs, this post highlights essential books that provide the foundational knowledge you need.

Artificial Intelligence: A Guide for Thinking Humans – Melanie Mitchell

A fantastic starting point, this book provides an accessible introduction to AI’s fundamental concepts. Melanie Mitchell explains key ideas in machine learning, neural networks, and AI’s current limitations, offering a balanced perspective on what AI can and cannot do. Through clear explanations and engaging storytelling, Mitchell demystifies AI and presents real-world examples to illustrate how these technologies function.

What sets this book apart is its focus on making complex AI topics understandable for general readers. Whether you’re an AI enthusiast or just curious about how artificial intelligence impacts our world, this book is an excellent resource. Mitchell also delves into the history of AI. He explores why human-like intelligence remains a challenge for machines, making this a compelling read for anyone interested in the future of AI.

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Artificial Intelligence
Artificial Intelligence
  • Mitchell, Melanie (Author)
  • English (Publication Language)
  • 336 Pages – 11/17/2020 (Publication Date) – Picador Paper (Publisher)
$11.49 Amazon Prime
Buy on Amazon

The Alignment Problem: Machine Learning and Human Values – Brian Christian

This book tackles one of AI’s most pressing issues: how do we ensure machine learning models align with human values? Brian Christian explores the ethical and technical challenges in training AI systems, making this a must-read for anyone interested in AI safety and ethics. He takes readers through a journey of how AI learns, the biases it inherits, and the moral dilemmas that arise when machines make decisions on behalf of humans.

Christian does an excellent job of breaking down complex topics while maintaining an engaging narrative. By incorporating real-world case studies and interviews with AI researchers, he thoroughly examines how we might shape AI to be more ethical and beneficial for society. The book raises critical questions about responsibility, bias, and the future of AI regulation, making it a thought-provoking read.

The Alignment Problem: Machine Learning and Human Values
The Alignment Problem: Machine Learning and Human Values
  • Amazon Kindle Edition
  • Christian, Brian (Author)
  • English (Publication Language)
  • 496 Pages – 10/06/2020 (Publication Date) – W. W. Norton & Company (Publisher)
$9.99
Buy on Amazon

Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World – Cade Metz

For those curious about the history and key players behind AI’s explosion, Genius Makers provides an engaging narrative about the pioneers of deep learning, including Geoffrey Hinton, Yann LeCun, and Demis Hassabis. It’s a fascinating look at the competitive race to develop AI, covering breakthroughs in neural networks and the intense competition between tech giants to dominate the AI space.

Metz tells the story through the lens of individual researchers and innovators who made AI what it is today. He captures the excitement, the scientific rivalries, and the ethical dilemmas involved in AI’s development. The book offers an insider’s view of how AI became one of the most sought-after technologies and what that means for the future.

Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World
Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World
  • Amazon Kindle Edition
  • Metz, Cade (Author)
  • English (Publication Language)
  • 382 Pages – 03/16/2021 (Publication Date) – Dutton (Publisher)
$8.99
Buy on Amazon

Rebooting AI: Building Artificial Intelligence We Can Trust – Gary Marcus & Ernest Davis

Rebooting AI critically examines AI’s limitations and argues that current machine-learning approaches fall short of true intelligence. The authors propose alternative strategies for developing AI systems that are more reliable, transparent, and capable of real-world reasoning. They highlight the pitfalls of deep learning and emphasize the need for hybrid models that integrate traditional AI techniques with modern advancements.

What makes this book particularly valuable is its practical approach to AI criticism. Instead of merely pointing out flaws, Marcus and Davis suggest ways to improve AI to work more effectively in real-world applications. Their insights are crucial for developers, researchers, and anyone interested in AI’s long-term impact on society.

Rebooting AI: Building Artificial Intelligence We Can Trust
Rebooting AI: Building Artificial Intelligence We Can Trust
  • Marcus, Gary (Author)
  • English (Publication Language)
  • 288 Pages – 08/25/2020 (Publication Date) – Vintage (Publisher)
$18.00 Amazon Prime
Buy on Amazon

AI 2041: Ten Visions for Our Future – Kai-Fu Lee & Chen Qiufan

Blending fiction with expert analysis, this book envisions how AI will shape various aspects of society by 2041. Kai-Fu Lee, a leading AI researcher, and Chen Qiufan, a science fiction writer, craft ten compelling narratives illustrating AI’s potential future. Each story is followed by an analysis explaining the technological principles behind it, bridging the gap between imagination and reality.

This unique format makes AI 2041 both an entertaining and educational read. The authors explore AI-driven healthcare, automation, and geopolitical challenges, providing a well-rounded view of AI’s possibilities. Whether you enjoy science fiction or want to glimpse what AI could mean for our world, this book offers a fascinating perspective.

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AI 2041: Ten Visions for Our Future
AI 2041: Ten Visions for Our Future
  • Lee, Kai-Fu (Author)
  • English (Publication Language)
  • 496 Pages – 03/05/2024 (Publication Date) – Crown Currency (Publisher)
$18.69 Amazon Prime
Buy on Amazon

Deep Learning – Ian Goodfellow, Yoshua Bengio, & Aaron Courville

This textbook is considered the bible of deep learning for readers who want a deep technical dive. It covers neural networks’ mathematical and theoretical underpinnings and is widely used in AI research and academia. This book provides an extensive foundation in deep learning algorithms, optimization techniques, and model architectures, making it an essential reference for those who want to understand AI at an advanced level

While this book is more technical, it remains one of the most comprehensive resources available for deep learning. It’s ideal for students, engineers, and researchers who want to master the principles that drive AI today. This book is a must-have if you’re serious about AI and ready to tackle the mathematical aspects.

Sale
Deep Learning (Adaptive Computation and Machine Learning series)
Deep Learning (Adaptive Computation and Machine Learning series)
  • Language Published: English
  • Binding: hardcover
  • It ensures you get the best usage for a longer period
  • Hardcover Book
  • Goodfellow, Ian (Author)
$55.56 Amazon Prime
Buy on Amazon

Why These Books Matter

Understanding AI isn’t just for computer scientists—it’s essential for anyone interested in technology’s impact on society. These books provide a comprehensive view of how AI models are built, how they learn, and what challenges they present. Whether you’re a beginner or someone with technical expertise, these reads will deepen your knowledge of AI and LLMs.

What are your thoughts on these books? Have you read any of them, or do you have other recommendations? Let’s discuss in the comments!

Leveraging ChatGPT for Customized Learning

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Recently, on the Easy EdTech podcast, Dr. Monica Burns spoke with Sarah Wysocki on the use of ChatGPT in education.

Wysocki, an English language learner teacher, discusses using ChatGPT to create personalized, culturally relevant learning materials, and adapting lesson plans to student needs. She emphasizes the importance of specificity in prompts and the need for educators to review and adjust AI-generated content. The discussion highlights the potential of ChatGPT to enhance education through tailored learning experiences.


The Eclectic Educator is a free resource for everyone passionate about education and creativity. If you enjoy the content and want to support the newsletter, consider becoming a paid subscriber. Your support helps keep the insights and inspiration coming!

Scraft – An AI Writing Tutor for Language Learners

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In a recent study conducted by researchers at Columbia University, a prototype AI writing-support tool named Scraft has been developed. This tool is designed to aid writing education by using recursive feedback mechanisms to encourage critical thinking.

Scraft is not just a simple text-generating AI; it’s a sophisticated tool that asks Socratic questions to users and provides personalized feedback throughout the writing process. This approach is designed to stimulate critical thinking and improve writing skills by engaging the writer in a recursive process of reflection and revision.

The researchers conducted a preliminary study with 15 students to evaluate the effectiveness of Scraft. The results indicated that the recursive feedback provided by Scraft was helpful in improving the students’ writing skills. However, the participants also noted that the feedback was sometimes factually incorrect and lacked context. This highlights the challenges of developing AI tools that can provide accurate and contextually appropriate feedback.

The researchers argue that AI writing-support tools should focus on preserving the recursive and thought-provoking nature of writing. This means that the AI should not just correct grammar and spelling errors, but also engage the writer in a dialogue that encourages reflection and revision.

Scraft could be particularly beneficial for multilingual learners. It can provide immediate, personalized feedback, which can be especially helpful for those who are learning English as a second language and may not have access to a human tutor. The Socratic questioning approach used by Scraft can also help multilingual learners to think critically in English, which is an important skill for academic writing.

However, it’s important to note that Scraft is still a prototype and further research is needed to improve its accuracy and contextual understanding. Despite these challenges, the development of Scraft represents an exciting step forward in the use of AI in education.


The Eclectic Educator is a free resource for everyone passionate about education and creativity. If you enjoy the content and want to support the newsletter, consider becoming a paid subscriber. Your support helps keep the insights and inspiration coming!

Revolutionizing K-12 Education: The Role of Generative AI Tools

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The world of education, specifically K-12, is on the brink of a significant transformation. The catalyst? Generative AI tools. These tools, such as Large Language Models (LLMs) and ChatGPT, are heralding a new era of automation, promising to reshape how we approach administrative and teaching tasks in schools.

Generative AI tools are a generational leap in what we can automate with software. They are not just about replacing human effort but also about creating entirely new kinds of automation. The potential impact on jobs and people is profound, and the pace of change is rapid. For instance, ChatGPT has already amassed over 100 million users in just six months.

The world of education is no stranger to automation. Over the past two centuries, we’ve seen waves of automation that have eliminated certain jobs while creating new ones. This process, while sometimes disruptive, has ultimately led to increased prosperity and efficiency.

For school administrators and teachers, generative AI tools could automate many tasks, freeing up time for more strategic and student-focused activities. For example, these tools could automate administrative tasks such as scheduling, record-keeping, and communication with parents. They could also assist teachers with tasks such as grading, lesson planning, and even providing personalized learning support for students.

However, the adoption of these tools is not without challenges. The tools that people use to do their jobs are complicated and very specialized, embodying a lot of work and institutional knowledge. Replacing or automating any of these tools and tasks is not trivial. There’s a huge difference between an amazing demo of a transformative technology and something that a big complicated organization can use.

Moreover, while generative AI tools can answer ‘anything’, the answer might be wrong. They are not databases but pattern matchers. They can produce answers that fit the pattern of the question but may not be factually correct. This means that while they can automate many tasks, their outputs still need to be checked.

Despite these challenges, the potential benefits of generative AI tools in K-12 education are immense. They could lead to more efficient administration, more personalized learning, and ultimately, better educational outcomes for students. However, it’s important to remember that these tools are not a magic bullet. They are just another wave of automation, and their successful implementation will require careful planning, training, and adjustment.

In conclusion, generative AI tools hold great promise for automating tasks in K-12 education. However, their adoption will require careful planning and a clear understanding of their capabilities and limitations. As with any new technology, the key to success will be in how well we integrate these tools into our existing systems and processes, and how well we adapt to the new ways of working they enable.

FAQ

  1. What is generative AI? Generative AI, including Large Language Models (LLMs) and ChatGPT, represents a significant change in what we can automate with software. It’s not just about replacing human effort but also about creating entirely new kinds of automation.
  2. How fast is the adoption of generative AI tools like ChatGPT? The adoption is happening very rapidly. For instance, ChatGPT has amassed over 100 million users in just six months.
  3. What is the potential impact of generative AI on jobs? Generative AI tools have the potential to automate many tasks, which could lead to job displacement. However, similar to previous waves of automation, they could also create new types of jobs.
  4. What challenges are associated with the adoption of generative AI tools? The tools people use to do their jobs are complicated and very specialized, embodying much work and institutional knowledge. Replacing or automating any of these tools and tasks is not trivial. Additionally, while generative AI tools can answer ‘anything,’ the answer might be wrong as they are not databases but pattern matchers.
  5. What is the potential of generative AI tools in the education sector? In the education sector, generative AI tools could automate many administrative tasks and assist teachers with tasks such as grading, lesson planning, and even providing personalized learning support for students.
  6. What is the future of generative AI tools? The future of generative AI tools is likely to involve more automation, but also more integration with existing systems and processes. Their successful implementation will require careful planning, training, and adjustment.
  7. What is the ‘Lump of Labour’ fallacy? The ‘Lump of Labour’ fallacy is the misconception that there is a fixed amount of work to be done and that if a machine takes some work, there will be less work for people. However, if it becomes cheaper to use a machine to make, say, a pair of shoes, then the shoes are cheaper, more people can buy shoes, and they have more money to spend on other things besides, and we discover new things we need or want, and new jobs.
  8. What is the Jevons Paradox? The Jevons Paradox suggests that as technological progress increases the efficiency with which a resource is used, the total consumption of that resource may increase rather than decrease. This paradox has been applied to white-collar work for 150 years.
  9. What is AGI (Artificial General Intelligence)? AGI refers to a type of artificial intelligence that is as capable as a human at any intellectual task. If we had AGI, it could potentially change everything, including overriding all the complexity of real people, real companies, and the real economy. However, as of now, we do not have AGI, and without that, we have only another wave of automation.
  10. How can generative AI tools help in personalized learning? Generative AI tools can provide personalized learning support for students by adapting to each student’s learning style and pace. They can provide additional explanations, practice problems, and feedback, making learning more effective and engaging.
  11. Can generative AI tools replace teachers? While generative AI tools can assist with tasks such as grading and lesson planning, they are not a replacement for teachers. Teachers play a crucial role in motivating students, managing the classroom, and providing emotional support, among other things. These are aspects that cannot be automated.
  12. What is the role of generative AI tools in administrative tasks? Generative AI tools can automate administrative tasks such as scheduling, record-keeping, and communication with parents. This can free up time for school administrators to focus on more strategic tasks.
  13. What is the difference between a database and a pattern matcher in the context of generative AI tools? While databases store and retrieve factual information, pattern matchers, like generative AI tools, generate responses based on patterns they’ve learned from data. This means they can produce answers that fit the pattern of the question but may not be factually correct.
  14. What is the importance of careful planning and training in adopting generative AI tools? The successful implementation of generative AI tools requires careful planning and training. This is because these tools must be integrated into existing systems and processes, and users need to understand their capabilities and limitations.
  15. What does it mean that generative AI tools are not a magic bullet? This means that while generative AI tools hold great promise, they are not a solution to all problems. Their successful implementation will require careful planning, training, and adjustment. They are just another wave of automation, and their impact will depend on how well we adapt to the new ways of working they enable.
  16. What is the potential impact of generative AI tools on educational outcomes? By automating administrative tasks and assisting with teaching tasks, generative AI tools could lead to more efficient administration, more personalized learning, and, ultimately, better educational outcomes for students.


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Innovating Pedagogy 2023: Exploring New Forms of Teaching, Learning and Assessment

The Innovating Pedagogy 2023 report, published by The Open University, explores ten innovations that have the potential to provoke major shifts in educational practice. The report is designed to guide teachers, policymakers, and educational technologists in making informed decisions about new forms of teaching, learning, and assessment.

  1. Learning through Open Data: Open data is publicly available information that can be freely used, modified, and shared. The report suggests that open data can be used as a teaching tool to develop students’ data literacy skills, critical thinking, and understanding of complex issues.
  2. Student-led Analytics: This innovation involves students in the process of collecting, analyzing, and using their own educational data to support their learning. It empowers students to take control of their learning and make informed decisions.
  3. AI Teaching Assistants: AI teaching assistants can provide personalized learning experiences, answer students’ questions, and give feedback on assignments. They can support teachers by taking over routine tasks, allowing teachers to focus on more complex aspects of teaching.
  4. Micro-credentials: Micro-credentials are digital certificates that recognize small amounts of learning or skills. They offer flexible pathways for lifelong learning and can be stacked to form a larger qualification.
  5. Learning through Multisensory Experiences: This approach uses technologies such as virtual and augmented reality to provide immersive learning experiences. It can help students understand complex concepts and develop skills in a safe and controlled environment.
  6. Humanistic Knowledge-Building Communities: These are online communities where learners and teachers collaboratively create knowledge. They foster a sense of belonging and support the development of critical thinking and problem-solving skills.
  7. Learning from Robots: Robots can be used in education to support learning in various ways, such as teaching coding or providing social and emotional support to students.
  8. Blockchain for Learning: Blockchain technology can be used to create secure, transparent, and tamper-proof educational records. It can also support the recognition of micro-credentials and facilitate the sharing of learning records across institutions.
  9. Decolonizing Learning: This involves challenging the dominant Eurocentric perspective in education and incorporating diverse knowledge, cultures, and ways of knowing into the curriculum.
  10. Action-Oriented Learning: This approach involves students in real-world problem-solving and social action. It develops skills such as collaboration, critical thinking, and civic engagement.

The report (available here) emphasizes that these innovations are not standalone solutions but should be integrated into a broader pedagogical strategy. It also highlights the importance of considering ethical issues, such as data privacy and the risk of AI bias, when implementing these innovations.


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Comparing and Testing AI for Education

AI robots becoming the new rulers, a grand throne room filled with robots in regal attire, adorned with glowing symbols and intricate metalwork, human ambassadors kneel in submission, the mood is one of awe and submissiveness, Artwork, a detailed Renaissance-style oil painting with the use of dramatic chiaroscuro to highlight the metallic sheen and grandeur of the robots

Professor and friend John Nash co-hosts a podcast on all things online learning. In a recent episode, he shared his work on coaching ChatGPT to write more “human” and the results are… interesting…

While generative AI tools are very cool right now, they are a long way from being truly disruptive and overtaking the world.

Here’s what’s interesting. Scaffolding the prompts, defining perplexity and burstiness, and then prompting an explicit increase of those measures made the text “human” to GPTZero. Still, it also made the text ridiculously flowery and inflated. Kind of like when a master’s student thinks they are supposed to “sound academic.” It was so bad that the ChatGPT output was immediately suspect to my human eyes, even though GPTZero said it was likely written entirely by a human.

– John Nash, PhD

Engaging Students with AI

While some parts of the education world are well on their way to banning everything related to AI, some of us are excited about the potential of showing students a tool that can drastically increase productivity and expand options for students to express their creativity and demonstrate learning.

One of the teachers in my teacher fellowship asked me about introducing the process of developing and marketing a mobile app to her third-grade students. They are working on a unit about economics.

I’m a fan of the 5E lesson planning framework. If you’re unfamiliar, The 5E lesson plan is a widely used instruction model consisting of five phases: Engage, Explore, Explain, Elaborate, and Evaluate.

During the engage phase, teachers can use various strategies to encourage students to discover more about the topic, such as an attention-grabbing hook, a thought-provoking question, or a hands-on activity. The engage phase’s goal is to create an atmosphere of curiosity and excitement, as well as to set the tone for the rest of the lesson.

I thought about creating something for the first part of this 5E framework to get the students interested in the topic of mobile app development. Perhaps a little video of a mobile app developer giving students an overview of the process?

I know access to mobile app developers is easy to come by for schools in large cities, but my schools aren’t in a large city. And I don’t have any contacts immediately available to speak to a class, whether in-person or remotely.

Which, if you weren’t aware, is the situation that so very many schools deal with every day. Access to experts in some fields isn’t readily available.

But there’s a solution.

With a little help from a few AI tools, here’s what I did…

Writing a Video Script with AI

I began by using a tool I had just learned about called TeacherBot. The folks at TeacherBot aim to “build the tool every teacher deserves.” You enter an idea into the prompt space, and TeacherBot gives you a useful output.

The TeacherBot user interface
The TeacherBot user interface

I aimed to create a script for an overview video of the mobile app development process. Here’s the prompt I gave TeacherBot to begin:

You are a software programmer. You need to introduce the concepts of coding an app for Apple’s iOS to a group of third-grade students in the United States. Create a story talking about the different phases of mobile app design and development.

I asked for a “story” and specified third-grade students to hopefully keep the response at an appropriate grade level for the students

Here’s what TeacherBot gave me in return:

TeacherBot response to prompt
TeacherBot response to prompt

Is it rudimentary? Yes. But, it is designed for a 3rd-grade audience. And it’s just an overview. If I had the learning objectives for the lesson or the unit, I might have been able to craft a better prompt or tweaked the response myself. I wanted a female speaker, so I should have indicated that in the prompt. However, that was an easy fix.

Now, I needed to create my speaker.

Creating a Speaker Image to Deliver the Script

To create an image for my speaker, I headed over to Midjourney and entered the following prompt:

minority woman, photography, depth of field f2.8 3.5, 25mm lens, 8k, ultra-realistic — v 4 — q 2 — v 4 — s 750 — uplight

I won’t go into the crafting of prompts for Midjourney here. Linus Ekenstam inspired this particular prompt, and he has a wealth of knowledge on his Twitter feed on crafting prompts.

Here are the initial results from Midjourney:

All of these images would work perfectly for this task. I wanted female minority representation for this project. Why? Because students need to know that jobs in computer programming and software development aren’t just for white men.

I choose this image from the four at random:

Now, I have my script and my speaker. Time for the final step.

Creating a Video with AI

For the final step, I turned to D-ID. After creating an account, I opened the “Create Video” tool and added the image of my speaker, and pasted my script in the script box.

An image capture of the D-ID.com interface for creating a new video.
D-ID interface

I changed the language settings to give the speaker an appropriate accent but still speak in English. Here is the final result:

Now, we have a little something to use to engage our third-grade students.

Is it perfect? Of course not. Do we still have a long way to go in the world of AI? Yes.

Will we ever get to use this tool to its fullest potential if we block it in school because we’re worried about cheating?

No.

AI is a tool, just like anything else. Use it. Be aware of what it can be used for, both for “good” and for “bad” — and keep in mind that what defines those terms is highly subjective.

But always follow Brandon Sanderson‘s Zeroth Law: “Always err on the side of what is awesome.”

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How We Might Use ChatGPT in Education

Yes, there’s more to say about ChatGPT and how we can use it in education. I’m doing my best to develop productive uses of this technology to override all the Negative Ninnys out there in Luddite Land.

I won’t have an answer for everyone, but there’s a decent chance one of the ideas I share here could inspire you to use ChatGPT yourself.

Why Some Teachers May Fear ChatGPT and other AI Tools

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First of all, let’s start here: Anytime a new technology is introduced into the world, people are apprehensive. This phenomenon is not exclusive to the education world.

New technologies can be intimidating and scary because they represent change and the unknown. People may be hesitant to adopt new technologies because they are unsure how they will work or fit into their existing way of life.

Additionally, new technologies can sometimes create uncertainty about the future and its impact on society. This fear of the unknown can lead to resistance to change and skepticism about new technologies.

For instance, bicycles were once thought to cause insanity and something called “bicycle face” that was a danger to a person’s health. Weird, I know, but totally true. Fearing new technology isn’t new.

Technology enthusiasts have to keep things in perspective when talking about new tools. Not everyone gets as excited as we do about disruptive tools, and not everyone immediately sees the potential. Patience, brethren. Change comes slowly.

Teachers might be uncertain of how to effectively incorporate ChatGPT into their classrooms, making them feel uneasy. To ensure successful implementation, teachers should become well acquainted with the tool beforehand and develop a strategy tailored specifically to it.

Another reason could be that they are concerned about the potential for the tool to be misused by students, for example, by using it to cheat on assignments or exams. Also, some teachers may be concerned about the impact of using a tool like ChatGPT on students’ critical thinking skills and ability to engage in deep learning and reasoning.

I should probably also mention that every input is being tracked, especially during this “research” phase of ChatGPT. OpenAI doesn’t hide this at all; they tell you that everything you type and every conversation generated is being tracked when you sign up. They even ask you for feedback when you get a generated response. Be aware of what is going on when using a tool like this.

Finally, there may be concerns about the ethical implications of using a tool like ChatGPT in the classroom, particularly with regard to issues such as privacy and the potential for bias in the tool’s responses. We’ve already seen the impact of widespread disinformation and how social media can influence opinions.

In case you’re curious, ChatGPT has some left-leaning and libertarian political bias.

How Can Teachers Use ChatGPT in the Classroom

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On the other hand, teaching with ChatGPT offers educators many opportunities. The technology can be used to help students outline or organize their papers, and at its best, can serve as a powerful, fun-to-use digital tutor that works like an improved version of Google. 

– Erik Ofgang

There are several ways that teachers can effectively use tools like ChatGPT in the classroom. One way is to use the tool to provide students with additional support and guidance as they work on assignments or projects.

For example, a teacher could use ChatGPT to help students brainstorm ideas, conduct research, or organize their thoughts. Additionally, the tool could provide personalized feedback to students on their work, helping them identify areas for improvement and providing them with guidance on making progress.

Another way that teachers can use ChatGPT effectively in the classroom is by incorporating it into activities designed to promote critical thinking and problem-solving skills. For example, the tool could be used as part of a debate or discussion activity, where students could use it to generate and evaluate different arguments and perspectives on a given topic.

This can help promote deep learning and reasoning and encourage students to think more critically about the information and ideas they encounter.

Additionally, teachers can use ChatGPT to create engaging and interactive learning experiences for their students. For example, the tool could be used to create interactive quizzes or games where students can ask questions and receive answers in real time. This can help keep students engaged and motivated and provide a more dynamic and interactive learning experience.

Overall, the key to effectively using tools like ChatGPT in the classroom is to be creative and to find ways to integrate the tool into teaching and learning activities in a meaningful and engaging way. This can help to enhance students’ learning experiences and promote critical thinking and problem-solving skills.

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What Will We Do with AI Tools in Education?

The buzz around AI writing tools continues in the education world. Of course, there are several AI tools that we’re already using, whether in the classroom or not. We were using AI tools long before anyone thought about them invading our classrooms, but we didn’t think they had classroom applications.

But none have gotten the coverage that ChatGPT has gotten since its launch on 30 November 2022.

I fear that the first response many educators will have is, “we have to block it right now.”

I understand teachers’ very valid concerns about any new technology tool, but blocking is horribly inefficient and the equivalent of burying our heads in the sand.

As tools proliferate, they become more and more difficult to block School IT departments get enough of these types of requests already, and in most cases, blocking one site only leads to students finding ten more that offer them the same access.

It’s not that I don’t think we need to have good conversations about the responsible usage of tools like ChatGPT. Without rails to guide the path, there is a strong possibility of misuse or poor usage. If there was ever a time when we needed more focus on digital citizenship and media literacy, I can’t think of one.

But we can talk about responsible usage of any tool in the classroom. The concept isn’t new. Before we had Google Docs, kids passed notes in class. The pen was once accused of the oncoming downfall of the education system.

How many times have you had to prevent your classroom from being invaded by ruler helicopters? Abusing tools in the classroom or, perhaps more correctly, using tools to avoid boredom in the classroom is nothing new.

So what do we do with new tools that are certain to disrupt the status quo?

My hope is that more of us have this outlook on new tools available to use in schools:

Obviously, our classroom activities should challenge students to do more than regurgitate information. We should challenge students to create from their imagination.

We must strive for deeper learning in every classroom in every school.

If teachers design student-centered learning experiences that allow students to write with support in class, ChatGPT won’t be nearly as disruptive as some articles claim.

Catlin Tucker

We should provide opportunities that stimulate their brain and make neural pathways come alive with dancing dreams of great design.

When we don’t embrace new technologies, we deny students options. We prevent them from learning about how their world is changing.

I love me some disruptive technology. There’s no point in beating our chest about how technology x has made y obsolete. The business world can not ignore disruptive technology or they will go out of business. As educators we are in the business of preparing students for THEIR future. The future for students includes AI (Artificial Intelligence).

– Alice Keeler

But not only do we prevent students from experiencing new tools that can be very useful in their lives, but we also overlook what we, as teachers, can use these tools for to make our lives easier.

The emergence of AI education disruptors like ChatGPT reveal the need for more diverse teaching models. The COVID-19 pandemic was a catalyst, spurring teachers and administrators into action. We can’t return to “normal school” any more than we can ignore new educational advancements.

We must embrace change. We can’t move forward without it.

How Disruptive Will ChatGPT Be?

I introduced Minecraft: Education Edition to my school district last school year and made the statement in a school board presentation that it was likely the most disruptive tool I’d brought to the district.

But ChatGPT? Oh my. I hope it breaks more barriers and causes more people to rethink daily what they do in classrooms. We already know (or we should know) that students will use AI tools to write papers. I hope educators use it, and many other technologies, to completely redesign education for the future.

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