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Lessons learned from integrating a computational cognitive model for personalized linguist training / Mark Toukan, Jair Aguirre, Sean Mann, Eddie Ro.
- Format:
- Book
- Author/Creator:
- Toukan, Mark, author.
- Aguirre, Jair, author.
- Mann, Sean, author.
- Ro, Eddie, author.
- Language:
- English
- Subjects (All):
- United States. Air Force--Airmen--Training of.
- United States.
- Artificial intelligence--Educational applications--United States.
- Artificial intelligence.
- Language and languages--Study and teaching--United States.
- Language and languages.
- Educational technology--United States.
- Educational technology.
- Military education--United States--Simulation methods.
- Military education.
- Place of Publication:
- RAND Corporation 2024
- Summary:
- The Department of the Air Force (DAF) is tasked with delivering high-quality warfighter training to develop and sustain warfighter mission-critical knowledge, skills, and abilities to maintain technological and human capital advantages over adversaries. It is both challenging and costly to provide the breadth of training required to develop competencies across a wide variety of occupations in a manner that targets the needs of individual warfighters. Adaptive training methods have the potential to provide a scalable and economical means to deliver effective training. To help communities across the DAF avoid common pitfalls in their move toward adopting these 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.
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