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- W2809770246 abstract "Tools for adaptive learning are on the rise, resulting in the creation and implementation of increasingly intelligent tutoring systems. These systems can be applied in a variety of contexts, including civilian, military, and emergency operations. Such systems may also include the capability to adapt to learner needs based on performance or behavioral input. However, the use of such adaptation may vary in its success depending on the domain it is applied to. This paper examines the potential utility of adaptive tutoring for educating Emergency Medical Service (EMS) workers. We examine two complementary approaches that can be used to drive adaptation: performance-based and behavior-based adaptive learning models in intelligent tutoring. We then discuss implications of implementing such learning models for intelligent tutoring in EMS. Next, we outline ongoing research as a use case for the validation of different adaptive learning models. Finally, we discuss expected impacts of this line of research, including the expansion of adaptive tutoring to other domains related to EMS." @default.
- W2809770246 created "2018-07-10" @default.
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- W2809770246 date "2018-06-28" @default.
- W2809770246 modified "2023-09-26" @default.
- W2809770246 title "Assessing the Role of Behavioral Markers in Adaptive Learning for Emergency Medical Services" @default.
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- W2809770246 doi "https://doi.org/10.1007/978-3-319-93882-0_19" @default.
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