Teacher Training

Professional Development for the AI Era

Teachers are being asked to manage AI use before many have been trained to use it themselves. Room 312 Press PD starts with practical experience, then moves into classroom implementation.

The goal is not AI enthusiasm. The goal is teacher confidence, clear boundaries, and assignments that keep student thinking at the center.

Core principle

Teachers learn by doing, then teaching.

Workshops ask teachers to use AI on real teaching work first, then translate that experience into student guidance, policy language, and classroom routines.

PD arc

From first use to classroom practice

Training can be delivered as a single workshop, a pilot launch, or a sequenced professional learning arc.

AI 101 for Educators

What generative AI does, what it cannot do, and why confident output still needs verification.

Teachers practice useful prompts on lesson planning, rubrics, examples, and explanations.

Classroom Integration

Assignments that assume AI access and make acceptable help visible.

Practical routines for prompts, disclosure, student reflection, and transcript review.

Ethics and Policy

How to discuss cheating, privacy, bias, misinformation, and cognitive surrender with students.

Teachers leave with language they can use the next day.

Workshop topics

Practical, calm, and classroom-ready

The training avoids hype and focuses on the decisions teachers actually have to make with students in front of them.

AI fundamentals in plain language
Classroom integration and assignment design
Policy, privacy, safety, and disclosure discussions
Prompting for educators without turning PD into a tool tutorial
Grading and feedback when students have AI access
Ethical use, verification, and cognitive independence

Give teachers a shared AI playbook

A strong AI rollout starts with teachers who know what to allow, what to question, and how to keep learning visible.

Schedule a PD Conversation