My Little AI Agent
Designed for preschool learners, this course transforms complex computer science concepts—such as Agents, evolutionary learning, prompting, and even negative entropy—into concrete, playful, and age-appropriate experiences. Across five lessons, children build foundational AI literacy: understanding what AI is and how it helps people, learning to give clear instructions (prompting), exploring specialized AI "helpers" (agents) and teamwork, discovering how AI learns from data and mistakes, and finally engaging in a guided human–AI co-creation project that promotes creativity, responsibility, and technology-for-good values.
Lessons
Lesson
This lesson introduces students to the concept of AI as a helpful, digital "Pixie" that lives inside smart devices and uses code to turn messy information into organized solutions. Students learn to distinguish between living things and AI by understanding that while AI lacks feelings and biological needs, it uses sensors and instructions to act as a tireless, intelligent assistant.
This lesson teaches students how to communicate effectively with AI by using the Golden Spell Formula, which requires combining a subject, specific details, and a scene. By understanding the GIGO (Garbage In, Garbage Out) principle, students learn that clear, descriptive language is essential for guiding AI to produce accurate and creative results.
This lesson introduces students to AI agents as specialized digital helpers that rely on clear, detailed instructions—known as "Magic Spells"—to perform tasks. By learning the "GIGO" (Garbage In, Garbage Out) rule and how to provide specific subjects and actions, students discover how to act as the "conductor" who guides these tools to create art, stories, and information.
This lesson introduces students to AI "Pixies," explaining how they function as invisible helpers within smart devices by organizing data and solving problems. Students learn the importance of clear, detailed instructions—or "magic spells"—and how feeding AI high-quality data helps these digital agents grow and learn effectively.
This lesson teaches students how to identify AI-powered tools and effectively guide them by acting as a human "Conductor." By mastering the "Prompting Sandwich" technique—combining subjects, details, and scenes—students learn how to turn their creative imagination into organized, tangible results.
Course Overview
📚 Content Summary
This syllabus is designed for preschoolers, transforming hardcore computer science concepts like Agents, Evolutionary Computing, Prompting, and Negentropy into concrete, experiential knowledge points. The course focuses on "Cognitive Enlightenment" and "Instructional Expression," helping children master the key logic of the AI era through the theme of "My Little AI Agent."
By breaking down complex AI logic into cognitive modules suitable for young children, the curriculum moves students from being passive technology consumers to becoming "Conductors" of intelligent systems. This approach ensures children understand that technology is a tool to help others, resolve chaos, and turn imagination into reality through precise communication and ethical collaboration.
Empowering little conductors to shape the future with their magic AI friends.
🎯 Learning Objectives
- Distinguish between human intelligence and artificial intelligence by identifying the unique characteristics and roles of "Invisible Helpers" in daily life.
- Master the "Magic Spell" formula of prompting (Subject + Detail + Action) to effectively direct specialized AI agents toward creative and altruistic goals.
Lessons
Overview: This lesson introduces children to the basic concept of AI by personifying it as "Invisible Elves" or "Super Brains" that live inside our technology. Students will learn to distinguish between biological beings with feelings and digital tools designed to turn "messy situations" into orderly ones.
Learning Outcomes:
- Identify and name at least three everyday objects that contain AI applications, such as smart speakers or automated gates.
- Compare the needs and capabilities of humans versus AI, focusing on the lack of feelings and the requirement for human instructions.
Overview: Students will explore the power of "Prompting" by learning that explaining an idea clearly is more important than manual labor. The lesson uses the "Magic Spell" metaphor to teach children how to describe tasks vividly to achieve high-quality AI outputs.
Learning Outcomes:
- Construct a clear instruction using the three-element "Golden Spell" formula: Subject + Detail + Scene/Action.
- Explain the "Garbage In, Garbage Out" (GIGO) principle, acknowledging that the person giving the instruction is responsible for the AI's result.
Overview: This session breaks the myth that a single AI does everything, introducing the concept of "Specialized Agents." Children learn to act as "Grand Conductors," delegating specific tasks to different "Little Experts" such as painters, storytellers, or musicians.
Learning Outcomes:
- Categorize different AI agents based on their "professions" and specialized skills.
- Demonstrate how to choose the correct AI tool to solve a specific part of a larger, multi-step project.
Overview: This lesson explains the logic of machine learning and evolution by framing data as "food" for AI. Children discover that AI starts with no knowledge and "grows up" by learning from mistakes and human corrections.
Learning Outcomes:
- Describe the process of AI evolution through trial, error, and adjustment based on human feedback.
- Identify "Data" as the essential information (images, sounds, words) that AI requires to learn and recognize the world.
Overview: The final lesson synthesizes previous knowledge through a full human-AI co-creation project. Children will use their skills to create a unique piece of work, like a class song, while learning to use technology for spreading kindness and love.
Learning Outcomes:
- Execute a complete collaborative workflow: developing an idea, breaking down tasks, prompting agents, and integrating outputs.
- Apply "Tech for Good" values by designing AI-driven solutions that help classmates, family members, or the community.