Turn a 30-Day Teaching Experiment into an Actionable Debrief

Reflect on a month of skill implementation through capabilities, confidence, student impact, and process learning. This mini-course is built around the Reflective Practice Debrief Assistant, a guided AI assistant that asks focused questions one at a time before creating a structured debrief with I-can statements, a justified confidence score, observable impact evidence, and clear changes for the next cycle.

You will learn how to prepare the professional skill practiced, a 30-day journey summary, one highlight, one challenge, evidence of student impact, and confidence reflections. The course shows you how to respond to the assistant’s guided workflow, keep the conversation focused, and shape the output around your real educational context.

By the end, you will be able to use ChatGPT to produce a structured debrief with I-can statements, a justified confidence score, observable impact evidence, and clear changes for the next cycle, then evaluate it for specific reflection, evidence-based impact, honest confidence calibration, actionable learning, and fidelity to the four-part framework. You will leave with a repeatable process that can be adapted to future tasks while keeping professional judgment in the loop.