Participants will learn how the quality and specificity of their MagicSchool Student Room directions directly shapes what students experience and produce. Teachers often set up rooms with vague prompts and are disappointed by results — this session addresses that gap. Participants will know the components of a high-quality Student Room prompt (persona, constraints, feedback style, guardrails, purpose); understand how to test and iterate their prompts before assigning to students; and be able to revise or build at least one Student Room prompt using a structured framework.
Participants will learn why AI-generated leveled texts can undermine long-term reading growth — and how to use MagicSchool AI to build scaffolds that bring students up to grade-level text rather than bringing the text down to students. This matters because students can't grow into grade-level reading if they're never expected to grapple with it. Participants will know the research distinction between text leveling and scaffolded access; understand how to use MagicSchool tools (Text Leveler vs. scaffolding tools like vocabulary support, annotation guides, and discussion prompts) intentionally; and be able to design at least one scaffold for a current text they use in their classroom.
Participants will learn how to do two things simultaneously — use AI tools to strengthen their own instructional practice and weave AI literacy mindsets and skills into existing content-area lessons. This matters because students need adults who can both model thoughtful AI use and teach them to engage with AI critically and ethically — not as a separate unit, but embedded in the work they're already doing. Participants will know key AI literacy concepts appropriate for secondary students (bias, transparency, human judgment, prompt quality, appropriate vs. inappropriate use); understand how to identify natural entry points for AI literacy within their existing curriculum without adding new content; and be able to draft one lesson moment or discussion hook that builds student AI literacy within their subject area.
