Adaptive training systems tailor training to address knowledge and skill deficiencies in response to trainee performance. While research on adaptive training concepts has indicated a strong potential for training effectiveness (Goldberg, Holden, Brawner, & Sottilare, 2011), it may also benefit instructors through the reduction of workload during and after training events. The purpose of this study was to investigate the effectiveness of adaptive training technologies at reducing workload for instructors executing individual level tactical scenario based training (SBT) exercises. Adaptive features on an Instructor Operating System (IOS) were developed to support instructors tasked with monitoring trainees real-time and in preparing for After Action Review (AAR). Instructors from Surface Warfare Officers School (SWOS) Department Head courses were asked to monitor two Tactical Action Officer (TAO) students using one of two systems (either an IOS equipped with adaptive features or one without adaptive features). Performance was assessed by instructors' accuracy in recalling critical student errors; workload was assessed through subjective ratings and task loading (e.g., time required to complete tasks versus time available to complete). Findings indicated that instructors using the adaptive IOS showed a significant improvement in detecting high and medium priority student errors when compared to instructors using a traditional IOS. In addition, instructors reported significantly lower workload in the adaptive IOS condition when compared with the traditional IOS. In fact, instructors estimated 33% time savings for each training exercise if an adaptive system was used versus the traditional IOS.