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Technologies are needed enabling more cost-effective military aviation training. Automated performance assessment has been advanced as one approach to enable instructors to make more effective use of simulation-based training systems. Recent experimental research will be reviewed illustrating that automated techniques produce student assessments comparable to human appraisals of student performance and employed within an after-action debrief, resulted in more effective training, as compared to a baseline after-action debrief capability. These studies used the E-2 Enhanced Deployable Readiness Trainer (EDRT), a medium-fidelity simulation trainer employed for training E-2 Hawkeye Naval Flight Officers (NFOs). This paper will summarize further developments to combine behavioral with biometric measures as a basis for automated performance assessment. In particular, speech communications and EEG were assessed as two-person teams of E-2 NFOs completed relatively complex mission scenarios on the EDRT. Using biometric measures, it was possible to distinguish the performance of expert and novice teams, providing a proof-of-principle of feasibility.