Suchergebnisse

To plan for future mobile learning two military educational schools conducted a study of current mobile device ownership and use by their students. Survey results show that a majority of students say they would use mobile learning if it were available, with a higher fraction of students interested in mobile learning the younger the student body, which suggests demand for mobile learning will continue to grow in the future. The results seem to align with general higher education institutions, with younger students showing increasing use of mobile devices and interest in accessing online learning materials. Besides e-mail and web browsing on their mobile devices, students want to be able to access course management systems; sync course calendars across their devices; access course reading materials; and use mobile applications that support class work and provide remote access to class lectures.

The article of record as published may be found at http://dx.doi.org/10.1037/mil0000080 ; One key component of optimal military decision making is that the decision maker demonstrates reinforcement learning. The modification of psychological tasks gives insight into understanding how to effectively train military decision makers and how experienced decision makers arrive at optimal or near optimal decisions. We developed a task modeled after the Iowa Gambling Task (IGT) to measure military decision making performance. This new task focuses on high stakes and uncertain environments particular to military decision making conditions. Thirty-four U.S. military officers from all branches of service completed the tasks yielding decision data for validation. The new task retains essential characteristics of the founda- tional task and gives insight into reinforcement learning of military decision makers. Results indicate that the additional metric of regret defines higher perfor- mance at a trial-by-trial level, and clustering by multiple metrics defines high performance groups.

This research aims to gain insight into optimal wargaming decision-making mechanisms using neurophysiological measures by investigating whether brain activation and visual scan patterns predict attention, perception, and/or decision-making errors through human-in-the-loop wargaming simulation experiments. We investigate whether brain activity and visual scan patterns can explain optimal wargaming decision making and its development with a within-person design; i.e., the transition from exploring the environment to exploiting the environment. We describe ongoing research that uses neurophysiological predictors in two military decision making tasks that tap reinforcement learning and cognitive flexibility. ; Army Research Office (ARO), PO Box 1221, Research ; Approved for public release; distribution is unlimited.