This project will plan, implement, and evaluate the outcomes of an invitational conference on the role of equity in whole-school STEM education models, particularly Inclusive STEM Schools (ISS), at the high school level.
While simulations are powerful tools for scientific inquiry, most students need scaffolding to engage productively in simulation-based inquiry. This project will develop and study an automated feedback system designed to support middle school students' simulation-based inquiry into wildfires, floods, and hurricanes. The system, called Hazbot, will leverage advanced artificial intelligence (AI) technologies—including machine learning and large language models (LLMs)—to provide timely, personalized feedback as students investigate the three different natural hazards.
