Lessons Learned from Integrating a Computational Cognitive Model for Personalized Linguist Training

The Department of the Air Force (DAF) is tasked with delivering high-quality warfighter training to develop and sustain warfighter mission-critical skills. To help communities across the DAF avoid common pitfalls in their move toward adopting personalized training methods, the authors present techniques for successfully implementing and using a computational cognitive model for adaptive training in the applied setting of language learning.