"Learning to learn" encompasses a set of essential metacognitive skills that help students become more effective and independent learners. This project aims to help high school students learn to learn through an Artificial Intelligence (AI)-powered interactive learning environment called MetaSim. At the heart of MetaSim are simulated learners--i.e., virtual students who model and explain how they plan, monitor, and reflect during algebra problem-solving. By watching and interacting with these virtual peers as they tackle challenging word problems in algebra, real students can develop the skills to manage their thinking and learning better. These simulated learners provide personalized feedback and guidance, helping real students apply their learning across different subjects. By combining expertise from learning sciences, computer science, and modeling and simulation, this project showcases the power of interdisciplinary collaboration in advancing how STEM problem-solving is taught and empowering students with lifelong learning strategies, making it a meaningful investment in the future of education and workforce readiness. This project addresses the challenge of effectively teaching high school students metacognitive skills--such as planning, monitoring, and reflecting--as they solve complex algebra problems. The interdisciplinary research team aims to design, develop, and test MetaSim, a new interactive learning environment with simulated learners--i.e., virtual agents