Conduct a DuPont analysis of Coca-Cola using real-world data, comparing and contrasting your results with an analysis conducted by Microsoft’s chatbot Copilot.

The Education Hazards of Generative AI provides a basic scientific overview of how largelanguage models (LLMs) work and connects this knowledge to practical implications for educators. This document is intended as a resource for teachers, principals, school district administrators, parents, students, policymakers, and anyone else thinking about using generative AI for educational purposes.

Navigate AI in education by looking at essential AI concepts, techniques, and tools, highlighting practical applications. AI can support personalized learning, automate daily tasks, and provide insights for data-driven decision making.

Explore using Microsoft Copilot in education by learning basic concepts, modes, and features and then applying that knowledge to design effective prompts and analyze results.

This module shows educators how to help learners discover, interact, and create with AI and generative AI. It also covers the responsible use of AI and explains the art of prompt engineering to help learners to explore the possibilities of AI.

Facial recognition is one of the many applications of AI technology. Like other technologies, facial recognition offers both opportunities to improve our lives and potential risks. Use this dilemma and thinking routine to help students consider the benefits and drawbacks of facial recognition.

This presentation for parents is a quick introduction to MagicSchool for Students and classroom usage. While this is not meant to be a training for parents, you can combine these slides with slides from our other trainings to give your parents as much information as you like. We suggest providing parents with a live walkthrough of the student tools by launching a room for them!

Generative AI tools such as ChatGPT are already having a significant impact on education. These tools are posing considerable challenges around assessment and academic integrity, but also present opportunities, such as saving staff time by helping with the creation of learning materials or presenting students with new tools to enhance the way they work.
The impact of generative AI is being felt far beyond education, and it is already starting to change the way we work. This presents more challenges and opportunities, in making sure education prepares students for an AI-augmented workplace, and that assessments are authentic yet robust.

In this course, you’ll learn about generative AI, which is a type of AI that creates new content, such as text, images, or other media. You’ll explore how to use generative AI tools to assist your teaching practice by saving time on everyday tasks, personalizing instruction to meet student needs, and enhancing lessons and activities in creative ways. Gemini and ChatGPT are examples of generative AI tools that are used with conversational prompts; in other words, you ask the AI tool for something, and it responds to your request. Throughout this course, you’ll discover proven strategies for working with AI tools and practice using these tools to plan and update lessons, prepare instructional materials, manage behind-the-scenes administrative tasks, and lots more!

Generative AI can mimic — but not replace — human intelligence. Learn how it can help you take your creativity to new places.

Have you ever thought of using Artificial intelligence (AI) in your classroom? In this video, Matt shows you the benefits of using AI to help support student learning with the help of a few Google tools readily available to you.

In this course, you will discover ways to use Gemini as an assistant in your professional practice to save time and unleash creativity on everyday tasks. You will explore how to use Gemini via a standalone experience and directly in a variety of Google Workspace for Education apps, like Docs, Gmail, and Slides. At the end of the course, you will be prepared to begin using Gemini to boost your productivity and enhance your work.

Microsoft Copilot is an AI tool that can create content like text, images, music, and code. But Copilot isn’t perfect, it can make mistakes – so always check responses and sources carefully.

This guide gives a brief overview of the limitations of large language models and provides strategies for writing effective prompts.

The projects in this guide use a student-driven approach to learning. Instead of simply learning about AI through videos or lectures, the students completing these projects are active participants in their AI exploration. In the process, students work directly with innovative AI technologies, participate in “unplugged” activities that further their understanding of how AI technologies work, and create various authentic products—from machine learning models to video games—to demonstrate their learning.



Project 1: Programming with Machine Learning

Project 2: AI-Powered Players in Video Games

Project 3: Using AI for Robotic Motion Planning

Project 4: Machine Learning as a Service



Visit the ISTE website with all the free practical guides for engaging students in AI creation: https://www.iste.org/areas-of-focus/AI-in-education

This guide provides student-driven projects that can directly teach subject area standards in tandem with foundational understandings of what AI is, how it works, and how it impacts society. Several key approaches were taken into consideration in the design of these projects. Understanding these approaches will support both your understanding and implementation of the projects in this guide, as well as your own work to design further activities that integrate AI education into your curriculum.



Project 1: AI Chatbots

Project 2: Developing a Critical Eye

Project 3: Using AI to Solve Environmental Problems

Project 4: Laws for AI



Visit the ISTE website with all the free practical guides for engaging students in AI creation: https://www.iste.org/areas-of-focus/AI-in-education

In this guide, students’ exploration of AI is framed within the context of ethical considerations and aligned with standards and concepts, and depths of understanding that would be appropriate across various subject areas and grade levels in K–12. Depending on the level of your students and the amount of time you have available, you might complete an entire project, pick and choose from the listed activities, or you might take students’ learning further by taking advantage of the additional extensions and resources provided for you. For students with no previous experience with AI education, exposure to the guided learning activities alone will create an understanding of their world that they likely did not previously have. And for those with some background in computer science or AI, the complete projects and resources will still challenge their thinking and expose them to new AI technologies and applications across various fields of study.



Project 1: Fair's Fair

Project 2: Who is in Control?

Project 3: The Trade-offs of AI Technology

Project 4: AI and the 21st Century Worker



Visit the ISTE website with all the free practical guides for engaging students in AI creation: https://www.iste.org/areas-of-focus/AI-in-education.

Just like people, artificial intelligence tools can make mistakes. That could mean simply mistaking tomatoes for apples. But the impacts of AI bias can often be much more serious. AI tools can end up recirculating harmful stereotypes and inequities within society. In this lesson, students will think critically about AI bias and how it affects the world.

Sal Khan, the founder and CEO of Khan Academy, thinks artificial intelligence could spark the greatest positive transformation education has ever seen. He shares the opportunities he sees for students and educators to collaborate with AI tools -- including the potential of a personal AI tutor for every student and an AI teaching assistant for every teacher -- and demos some exciting new features for their educational chatbot, Khanmigo.