{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/eda3ae4652b84bc0a731c5fbc0ee6ca6\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/eda3ae4652b84bc0a731c5fbc0ee6ca6-5aab3bab482d98ca.gif","duration":3142.233,"title":"Ethical AI Prompting for Better Lessons 🎯","description":"I shared why AI prompt engineering fails in education most often as a clarity and generic output problem, not a language problem. I emphasized that ethics is not optional, covering transparency, data stewardship, and the risk of fluent but inaccurate outputs, and I cited the UNESCO 2024 AI teacher framework and a 2025 survey on teacher workload. I taught five prompting methods, including zero shot, role assignment, chain of thought, critic prompting, and constraints, with a suggested stacking order and live demos for persuasive writing. I requested that you try one method this week. I also invited you to join the AI literacy lab circle or book a consultation for the May cohort."}