Description
Ready to teach artificial intelligence literacy in a way that builds real student judgment, not just rule following? Looking for practical routines that help students think critically about what artificial intelligence produces across grade levels? Responsible artificial intelligence use requires explicit instruction in how to evaluate artificial intelligence generated content and decide when and how to use tools. Instructional moves like think alouds, guided questioning, and response analysis make student thinking visible and repeatable in everyday lessons. In this course, Lauren Boucher shows educators classroom strategies, examples, and ready-to-use routines that support critical thinking, digital awareness, and responsible artificial intelligence use across grade spans, with access to a curated website where all resources are housed. Participants will walk away with simple, repeatable routines and a resource hub they can plug into existing lessons the very next day.
Objectives
Identify instructional strategies for teaching artificial intelligence literacy, including think alouds, guided questioning, and response analysis.
Explain why students need explicit instruction to evaluate artificial intelligence generated content and make responsible choices.
Implement a routine that guides students to analyze an artificial intelligence generated response against clear success criteria.
Analyze student responses to identify misconceptions, overreliance, or missing evaluation steps.
Evaluate current classroom practices and Select targeted adjustments that strengthen responsible artificial intelligence use.
Create an artificial intelligence literacy routine or lesson that integrates into an existing unit and includes student-friendly evaluation prompts.
