Create Your First Project
Start adding your projects to your portfolio. Click on "Manage Projects" to get started
AI Prompt Engineering
Example Physics Chatbots
Many students come to physics with anxiety or misconceptions. They might think “heavier objects fall faster” or “current gets used up as it moves through a circuit.” Traditional lecture formats often don’t give students enough space to confront those ideas, test their thinking, or make connections at their own pace.
Using PlayLab.ai, I can create interactive AI tutors—what I like to call “concept coaches”—that guide students step-by-step through reasoning and reflection.
Each chatbot is built with a specific learning goal in mind. For example:
“ID Motion Master” helps students practice applying Newton’s Laws to everyday situations.
By leveraging AI prompt engineering, I can fine-tune each bot’s responses to scaffold thinking rather than simply give answers. The AI acts as a patient tutor—asking guiding questions, correcting gently, and offering explanations tailored to the learner’s level.
Link
RICCE Prompt Framework Faculty Guide
As an educator, I’ve always been fascinated by the moment when a difficult concept finally clicks for a student. In physics—where abstract equations and invisible forces can feel overwhelming—those moments of understanding are hard-won. That’s why I began exploring PlayLab.ai, a platform that allows me to design custom AI chatbots to help students practice and internalize challenging ideas in physics.
Prompt writing is essential when using AI because it shapes how the model interprets your request and determines the accuracy, depth, and tone of its response. Clear, structured prompts reduce bias, save time, and lead to more relevant outcomes. I use and promote the RICCE Prompt Framework—Role, Instructions, Context, Constraints, and Examples—to guide AI interactions, ensuring responses are purposeful, transparent, and aligned with learning or design goals.