I am a learning scientist whose work explores computational literacy, with special focus on how young people learn about scientific computing, its power, and its limitations. Most recently, I have explored how two varieties of scientific computing in particular, visual data analysis tools and agent-based simulation, can be responsibly introduced as epistemic tools within the precollegiate curriculum. Because my research focuses on the ways in which these tools allow youth to explore large-scale systems with significant social impacts (e.g. climate, health patterns, nutrition, pollution), I...
Joshua Sussman is a researcher at the Berkeley Evaluation and Assessment Research (BEAR) Centerwhere he uses data-driven approaches to improve educational assessment, policy, and practice. He uses generalized latent variable modeling and hierarchical modeling in quantitative studies that aim to translate basic knoweldge about children's learning and development into recommendations for more effective and more just systems of early childhood education.
