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Assessing the Role of Behavioral Markers in Adaptive Learning for Emergency Medical Services

机译:评估行为标志在紧急医疗服务自适应学习中的作用

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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.
机译:自适应学习的工具正在增加,导致创造和实施越来越聪明的辅导系统。这些系统可以应用于各种背景,包括民用,军事和紧急操作。这种系统还可以包括基于性能或行为输入来适应学习者需求的能力。然而,这种适应的使用可以取决于它应用于它的域的成功。本文介绍了适应性辅导,用于教育紧急医疗服务(EMS)工人的潜在效用。我们研究了两个可用于推动适应的互补方法:智能辅导中基于性能的基于行为的自适应学习模型。然后,我们讨论实施EMS中智能辅导的这种学习模式的影响。接下来,我们将持续研究概述为用于验证不同自适应学习模型的用例。最后,我们讨论了这一研究线的预期影响,包括扩展与EMS相关的其他领域的自适应辅导。

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