Course Description

In this micro-credential, learners analyze AI-generated feedback using the Five EdTech Quality Indicators and determine whether to accept, revise, or reject the output in order to provide accurate, inclusive, and actionable feedback to students. This micro-credential meets the STEM certificate renewal requirement. To earn clock hours for this micro-credential: (1) Complete WEA micro-credential orientation to learn about the process. Complete orientation ONCE. Register for orientation on https://wea-win.org/. (2) Register for an NEA micro-credential https://nea.certificationbank.com/Washington AND register for WEA clock hours for the specific NEA micro-credential you selected on https://wea-win.org/. (3) Complete the WEA micro-credential workshop EVERY TIME you are working on a new micro-credential. For more information, see: https://www.washingtonea.org/events-training/pd/micro-credentials/

Course Objectives

In this micro-credential, educators review AI-generated feedback using a structured, evidence-based lens (Five EdTech Quality Indicators: safety, evidence-based, inclusivity, usability, interoperability) to decide if it should be accepted, revised, or rejected before reaching students; compare original AI feedback with professionally revised versions to see how adjustments impact student understanding; strengthen human-AI collaboration by ensuring AI serves as a support tool, not a replacement for professional judgment.