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Looking to spark meaningful discussions about AI with your students but short on time?

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Looking to spark meaningful discussions about AI with your students but short on time?

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These quick prompts and activities, created by MCS Elementary Instructional Technology Specialist Rachel Gibbs, are designed for 1–5 minute conversations that build AI literacy in approachable, age-appropriate ways. Whether it’s a warm-up, brain break, or quick reflection, a small conversation today can lead to big understanding tomorrow. Let’s help students think critically, ask great questions, and navigate the world of AI with confidence!

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This 30-45 minute lesson introduces students to the foundational concepts of artificial intelligence, including the types of AI and the new breakthroughs around generative AI. Students will also explore how AI tools are created and trained, with a focus on large language models and the basics of machine learning. These lessons lay the groundwork for deeper exploration of AI's capabilities and impact.

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This 20-30 minute lesson introduces students to the concept and capabilities of AI chatbots, focusing on their role as a form of generative AI. Students will learn how to write effective prompts to maximize the quality of chatbot responses and evaluate and refine chatbot outputs for accuracy and relevance. These lessons will equip students with practical skills for interacting with AI chatbots effectively.

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This 20-30 minute lesson introduces students to AI image generators, teaching them how these tools are trained and how they create new images. Students will learn to craft effective prompts for generating images and will learn to recognize the characteristics of AI-generated images.

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This 30-45 minute lesson introduces students to the ethical considerations of using AI in content creation, with a focus on copyright and content ownership. Students will learn what copyright is, how it applies to AI-generated content, and strategies for using AI ethically while respecting intellectual property.

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This 30-45 minute lesson explores the concept of algorithmic bias, helping students understand how bias occurs in AI systems and its potential impacts. Students will learn to identify examples of bias in AI outputs and explore strategies for minimizing bias when using AI tools.

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This 30-45 minute lesson focuses on the critical topics of data privacy and AI, teaching students about data collection, storage, and sharing. Students will evaluate what types of personal information are safe to share with AI tools and learn strategies to protect their data, such as adjusting settings and making informed decisions when creating accounts.

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This 30-45 minute lesson encourages students to explore the potential future impacts of AI on education, work, and society. Students will discuss key trends and evaluate the broader societal benefits and challenges of AI.

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Empowering Future-Ready Students: AI Literacy & the ACE Framework

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Empowering Future-Ready Students: AI Literacy & the ACE Framework

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Curious about how to develop AI-fluent students and empower them with the skills they need for an AI-influenced future? Click here to explore resources, strategies, and insights—including the ACE Framework—that help build AI literacy in the classroom. From critical thinking to ethical use, we’re equipping students not just to use AI, but to understand and shape it.

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Teaching Responsible Use of AI Resources

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How to teach AI Concepts & Implementation by Grade Level

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Explore how AI can be used at different levels to enhance teaching and learning. Click on a subject area to see examples of AI prompts that move from simple substitution to transformational learning experiences.

For Core Subjects - https://mvlri.my.canva.site/promptscore

For Electives - https://mvlri.my.canva.site/electiveprompts

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Social Media & Platform Algorithms (PearDeck)

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Social Media & Platform Algorithms (PearDeck)

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Students will explain how social media platforms use AI and machine learning to personalize content, explore potential biases and downsides of algorithmic feeds, and reflect critically on their digital interactions.