Course Description

In this micro-credential, learners explore how AI uses data patterns to offer suggestions (what to watch, buy, read); consider how recommendations support learning/decision-making and reinforce narrow viewpoints/biases. 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, the educator helps students analyze AI-driven recommendation systems—personalization, reinforcement, bias—using inquiry, real-world examples, and reflective discussion; models critical engagement with AI recommendations to build digital awareness and empower independent navigation.