Beyond the Prompt: AI Literacy Workshop

The Challenge: Hype Without a Framework

Most educators, parents, and community leaders had already used ChatGPT or something like it — but few had a shared vocabulary for what AI actually is, and fewer had a repeatable way to use it well. Teaching With Purpose asked for a session that could serve a mixed room: teachers, administrators, parents, and community organizers, all in the same seats.

The brief was to move people past "magic or scary" reactions into something usable — practical AI literacy grounded in equity, clarity, and purpose — and to do it twice in one day, back to back, with no repeat material for anyone attending both.

The Solution: "Beyond the Prompt"

I built a 90-minute curriculum — Cutting Through the AI Hype, AI Tools in Our Lives, Prompting With Purpose, Limits & Bias, and Reflection — and delivered it as two full live sessions back to back, giving each room the same complete arc.

Core Teaching Framework

• The AI Continuum: Walked the room from AI to Machine Learning to Generative AI to LLMs, and drew the line between an AI model and an AI product ("the engine vs. the car") so the terminology finally stuck.
• The 3-Tool Starter Kit: Taught attendees to fight tool paralysis with one tool to think (ChatGPT/Claude/Gemini), one to create (Canva, Diffit, MagicSchool), and one to organize (Notion, Google Workspace) — three tools covering 80% of daily needs.
• Prompting With Purpose: Live demoed the difference between a vague prompt and a context-rich one, then taught implied context, zero/one/few-shot examples, and chain-of-thought using a Role–Task–Context–Output–Tone framework attendees could reuse immediately.
• The Prompt Pantry: Introduced a simple system for capturing, naming, and reusing prompts so the learning didn't evaporate the day after the session.

Facilitation at the Conference

Running two full 90-minute sessions in one day meant designing for energy, not just information. Each session opened with a quick poll on roles and goals to read the room, moved through live prompt demos attendees could follow on their own devices, and closed with reflection questions tied back to equity and community impact — not just productivity.

Bias and representation got dedicated space in every session: comparing tools like ChatGPT and Perplexity, unpacking why "AI isn't neutral, it mirrors its data," and giving attendees language to spot gaps before they trust an output.

The Results

Two full sessions, two different rooms, one consistent takeaway: AI literacy isn't about knowing everything — it's about asking better questions, checking for gaps, and pacing your own growth. Attendees left with a starter prompt library, a habit plan, and a framework they could apply the same week, whether that meant a lesson plan, a parent email, or a community flyer.

Key Takeaways Delivered

• Map: Where AI already touches classrooms, communities, and daily life
• Method: Clear prompting frameworks that align AI output with culture and purpose
• System: Habits and a "Prompt Pantry" that keep learning sustainable and bias-aware