CRAFT PD Series — Unlocking AI & IoT for K-12 STEM
About This Series
Co-hosted by the UCF DRACO Lab (Dept. of Electrical & Computer Engineering) and the UCF School of Teacher Education (College of Community Innovation & Education), this series equips STEM teachers with practical skills for bringing AI and IoT into their classrooms.
Each standalone, virtual session follows the CRAFT pedagogical cycle — a five-phase instructional framework where participants experience each phase firsthand and learn to apply it in their own teaching:
- Contextualize — Why it matters: real-world application, career, and societal framing
- Reframe — Surface the wrong mental model, install the correct one
- Assemble — I Do → We Do → You Do scaffolded practice
- Fortify — Verify with tools and AI; errors are features, not failures
- Transfer — Connect forward to the next concept or your own classroom
Facilitators: Dr. Mike Borowczak & Dr. Andrea Borowczak + DRACO Lab graduate TAs
Format: Virtual (Zoom) · 8:30 AM – 12:00 PM PST · Standalone sessions
Standards: NGSS-aligned throughout
Workshops
| Date | Workshop | Resources |
|---|---|---|
| April 11 | Using AI for STEM: Lessons & More | … |
| April 18 | Verifying STEM AI Outputs | … |
| April 25 | Programming Edge/IoT Systems with AI | … |
What Every Participant Receives
- Shared Google Drive folder — Templates, prompt libraries, lesson starters (all editable)
- Curated resource website — Bookmarkable page with links, guides, and updates
- Digital toolkit PDF — One downloadable document per session
- Customized lesson — NGSS-aligned template personalized during the session
- Workshop 3 bonus: BBC micro:bit V2 hardware kit (yours to keep!)
Workshops
Workshop 1: Using AI for STEM — Lessons & More
Turn LLMs into your STEM curriculum co-pilot through hands-on prompt engineering across ChatGPT, Claude, and Gemini.
Workshop 2: Verifying STEM AI Outputs
The Check the Machine protocol and error-hunting skills for AI-generated code and STEM content.
Workshop 3: Programming Edge/IoT Systems with AI
BBC micro:bit + LLM-assisted coding to bridge abstract programming and physical science standards.
What Every Participant Receives
- Shared Google Drive folder — Templates, prompt libraries, lesson starters (all editable)
- Curated resource website — Bookmarkable page with links, guides, and updates
- Digital toolkit PDF — One downloadable document per session
- Customized lesson — NGSS-aligned template personalized during the session