TY  - CHAP
AB  - Abstract Technology for training military teams has evolved through a convergence of advances in simulation technology for individual and collective training, methods for analyzing teamwork and designing training solutions, and intelligent tutoring technologies that adapt training to the student, to accelerate learning. A number of factors have slowed this evolution toward intelligent team tutoring systems (ITTS), including the challenges of processing communications data, which are the currency of teamwork, and the paucity of automated and generalizable measures of team work. Several systems fulfill a subset of the features required of an ITTS, namely the use of team training objectives, teamwork models, measures of teamwork, diagnostic capability, instructional strategies, and adaptation of training to team needs. We describe these systems: the Advanced Embedded Training System (AETS), Synthetic Cognition for Operational Team Training (SCOTT), the AWO Trainer, the Benchmarked Experiential System for Training (BEST), and the Cross-Platform Mission Visualization Tool. We close this chapter with recommendations for future research.
VL  - 19
SN  - 978-1-78754-474-1, 978-1-78754-473-4/1534-0856
DO  - 10.1108/S1534-085620180000019013
UR  - https://doi.org/10.1108/S1534-085620180000019013
AU  - Freeman Jared
AU  - Zachary Wayne
PY  - 2018
Y1  - 2018/01/01
TI  - Intelligent Tutoring for Team Training: Lessons Learned from US Military Research
T2  - Building Intelligent Tutoring Systems for Teams
T3  - Research on Managing Groups and Teams
PB  - Emerald Publishing Limited
SP  - 215
EP  - 245
Y2  - 2024/09/20
ER  -