Gen AI in Education
Gen AI in education is most useful when educators pair practical experimentation with critical judgment, privacy awareness, and clear learning goals.
Gen AI in education is not just a tool-choice question. It is a teaching, learning, privacy, leadership, and judgment question. Miguel writes about Gen AI from the practical side: what educators can try, what leaders should ask, and where the claims need evidence before they become policy or practice.
This collection gathers posts about AI literacy, classroom use, prompting, professional learning, and responsible adoption. The focus is not on treating every new model as a revolution. The focus is on what changes when students, teachers, coaches, and school leaders can generate text, images, code, summaries, and plans in seconds.
Miguel’s perspective is that Gen AI belongs in education conversations, but not as a shortcut around thinking. The better question is how educators can use these tools while still protecting student privacy, preserving human judgment, and asking students to explain, connect, and extend their own understanding.
Important terms include Gen AI, AI literacy, prompting, cognitive offloading, workflow automation, and responsible adoption. Those terms matter because they separate classroom learning decisions from vendor hype.
A practical path through AI literacy
Start with the learning or workflow problem. Build the skills to use an AI tool, then decide how you will check its output and protect the information involved.
- AI Literacy With PRISM: Use five lenses to question generated answers and consider classroom context.
- Roadmaps to AI Literacy: Connect individual practice with organizational support.
- The Prompt Library: Adapt a prompt to a real task and review the result.
Original Frameworks
- SHINE: A reflection on responsible AI adoption and educational innovation.
Related Projects
- BoodleBox AI: Notes and resources related to practical AI platform use.
Start Here
- AI Literacy With PRISM: Use five lenses to question generated answers and consider classroom context.
- Roadmaps to AI Literacy: Connect individual practice with organizational support.
- The Prompt Library: Adapt a prompt to a real task and review the result.
Recent Writing
- Part Two: Back Up Your Claude Projects Before You Need To
- Gemini Notebook Case Study: Copyright Violation or Innovative Use?
- AI As Your Instructional Design Partner: Revisiting a June 2026 Preso (Video Included)
- ChatGPT: Computer Use Agent to Create an Email Subscribe Option
- Digging into ChatGPT's Dot
- Create AI-powered Publications and Dashboards: Revisiting a June 2026 Preso for Updates
- Infographic: Personal AI Agents Toolbox
- Deleting Unwanted Images from Your ChatGPT Image Library
- Infographics: Updated Toolboxes for ChatGPT, Claude, Gemini, and Lumo AI
- Exploring Lumo AI
- ACE in Math: Three Questions That Show Real Understanding
- Hands-On: Student Learning in the AI era
Questions People Ask
Should schools ban Gen AI?
Blanket bans rarely build judgment. Students and educators need protected time to learn when Gen AI helps, when it weakens thinking, and what privacy limits apply.
What should come before tool choice?
Start with the learning purpose, the people affected, the data involved, and the evidence needed to know whether the work improved.
Where should I start with AI literacy?
Start with a real task, define what a useful result looks like, and practice checking the output. Use PRISM to examine your reasoning and the roadmap to plan individual and team learning.
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