Scalable and Interpretable Learning Tool Development within Game-based Learning Environment: A Case Study of Mission HydroSci

This research develops scalable and interpretable learning tools—stealth assessment and a teacher dashboard—using a sophisticated logging system within the Mission HydroSci game-based learning environment. By integrating existing frameworks with customized approaches, the system captures in-game behaviors critical to understanding learning processes. A stealth assessment pipeline, combined with advanced machine learning, and a data-enriched dashboard, is being developed to enhance teacher-student communication. This study contributes a scalable framework for learning tools across diverse game contexts, offering valuable insights for educators, researchers, and game designers to improve both learning and educational game design in classroom settings.