Expert anti-submarine-warfare (ASW) operators employ mental models to understand environmental conditions and target properties and select acoustic-sensor settings to optimize probability of detection (Pd) in target-specific missions. The Environment for Surface ASW Interactive Learning (ESAIL) helps sonar operators develop and maintain mental models that enable analysis and employment providing the highest Pd. ESAIL employs video-game interfaces to establish mission-relevant training environments from which operators draw connections between physical scenarios and corresponding AN/SQQ-89A(V)15 ASW Combat System displays. Leveraging ARiA’s expertise in game-based learning and simulation-based training, ESAIL uses recorded tape data and real-time simulation to accelerate expertise acquisition. ESAIL implementation has been targeted for the AN/SQQ-89A(V)15 and employs a platform-agnostic build environment suitable for all Navy sonar-system variants. ESAIL is easily tailored to work across platforms and sensor types.