| Activity | Square | Discipline |
|---|
| Students build a functioning low-code AI prototype using tools like Peltarion, Zapier, or Scratch + Teachable Machine. | Design | STEM |
| Build a slide deck or infographic explaining how an AI system like ChatGPT works, using both AI and peer-reviewed info. | Generate | STEM |
| Analyze own AI usage patterns across tools (text, image, audio) and explain when and why they shift strategy. | Deconstruct | Arts |
| Compare model structures (decision tree vs. neural net) by visualizing workflows and dissecting their logic. | Differentiate | STEM |
| Students create a personalized "AI Toolbox" listing tools best suited to their learning or research style and explain their rationale. | Use | STEM |
| Build a basic predictive model using Google AutoML or a no-code AI tool and test it with a small data set. | Carry Out | STEM |
| Students identify AI tools suited for specific data sets and justify their tool choice by referencing AI technical documentation. | Respond | STEM |
| Students annotate a diagram of a machine learning workflow generated by an AI diagramming tool (like diagrams.net + ChatGPT). | Summarize | STEM |
| Students fill in a digital journal after exploring 3 AI tools for creativity (e.g., Midjourney, ChatGPT, Lumen5), noting personal ease/difficulty. | Identify | Arts |
| Students complete a step-by-step walkthrough of uploading audio into an AI music tool (like Amper Music), then explain each step to a partner. | Recall | Arts |
| Students create a mind map in Canva with AI tool integrations, classifying AI tools into categories like generative, assistive, or curatorial. | Recognize | Arts |
| Use an AI art platform and list all features available in the tool; then match them to their creative applications in a worksheet. | List | Arts |