They Were Never "Low-Performing"- They Just Needed a Different Stage

AI literacy is not just about teaching students how AI works. It is about helping them trust themselves enough to judge it. Ethical AI use requires more than technical knowledge; it requires students to trust their own thinking. This session reframes AI literacy as both a cognitive and an emotional practice. Drawing on classroom experience, game-based learning with Minecraft Education and personal reflection, it explores how students are conditioned to prioritize correctness, comparison and external validation, and how, in those environments, tools can quietly replace thinking out of fear of being wrong rather than misconduct. Discover why psychological safety is a prerequisite for ethical AI use and how classroom culture, whether it values speed and compliance or genuine reasoning, shapes the way students use AI. Explore how authentic AI literacy begins before any tool is introduced, in classrooms where voice, uncertainty and failure are valued. Leave with practical strategies for positioning students as the final decision-makers so technology supports learning rather than replacing it.