Thinking With AI: The Teacher Workshop Series (Complete Release)

Key Takeaways

• Two teacher workshops: 1.5‑hour intro, 3‑hour deep dive
• Six cross‑disciplinary sample lessons cover grades 6‑12
• Lessons start with student work before AI interaction
• Teachers receive one actionable move for immediate implementation
• Framework focuses on visible, assessable student thinking, not AI mastery

Summary

Nick Potkalitsky released the teacher‑focused complement to his AI literacy series, offering two workshop designs—a 1.5‑hour introductory session and a 3‑hour deep‑dive—for mixed‑subject faculty. The release also includes six cross‑disciplinary sample lessons spanning grades 6‑12 in ELA, social studies, science and math. Each lesson follows a five‑principle framework that foregrounds student thinking before AI tools are introduced and ends with reflective assessment of AI’s impact. The series will close next week with a parent‑guardian workshop, completing the community‑wide rollout.

Pulse Analysis

AI is no longer a futuristic concept for schools; it is a daily classroom reality. Potkalitsky’s teacher workshop series acknowledges this shift by moving the conversation from abstract policy to hands‑on instructional design. By framing the workshops around a shared five‑principle model, educators from disparate subjects can align their curricula, ensuring that AI serves as a catalyst rather than a crutch. This approach mirrors broader industry trends where cross‑functional collaboration is essential for integrating emerging technologies without diluting core learning objectives.

The core of the release lies in its six sample lessons, each meticulously crafted for grades six through twelve. Every lesson begins with students writing, reading, framing, or arguing before any AI input, establishing cognitive ownership. After students have articulated their initial ideas, AI tools are introduced to augment, not replace, their reasoning. The lesson concludes with a reflective segment where learners evaluate which AI suggestions they accepted or rejected, turning the technology into a transparent learning partner. This scaffolded methodology aligns with research on metacognition, reinforcing students’ ability to monitor and regulate their own thinking.

For school leaders, the series offers a scalable blueprint for systemic AI integration. The 1.5‑hour introductory workshop equips faculty with a single, actionable strategy they can embed in upcoming units, while the 3‑hour deep dive empowers teachers to design bespoke lessons and identify coordination gaps across departments. By completing the suite with a parent‑guardian session, the program also addresses community buy‑in, a critical factor for sustainable adoption. Institutions that adopt these resources can expect more intentional AI use, clearer assessment metrics, and ultimately, stronger student outcomes in an AI‑rich educational landscape.