Gorrindo Tristan, Chevalier Lydia, Goldfarb Elizabeth, Hoeppner Bettina B, Birnbaum Robert J
J Contin Educ Health Prof. 2014 Spring;34 Suppl 1:S17-22. doi: 10.1002/chp.21234.
Autonomic arousal is an important component of understanding learning as it is related to cognitive effort, attention, and emotional arousal. Currently, however, little is known about its relationship to online education. We conducted a study to determine the feasibility of measuring autonomic arousal and engagement in online continuing medical education (CME).
Using the Computer Simulation Assessment Tool (CSAT) platform, health care providers were randomly assigned to either high- or low-valence versions of a Web-based simulation on risk assessment for a returning veteran. Data were collected on participants' actions within the simulation, self-reported cognitive engagement, knowledge retention, and autonomic arousal measured using galvanic skin response (GSR).
Participants in the high-valence condition (n = 7) chose a lower percentage of critical actions (M = 79.2, SD = 4.2) than participants in the low valence (n = 8) condition (M = 83.9, SD = 3.6, t(1,14) = 2.44, p = .03). While not statistically significant, high-valence participants reported higher cognitive engagement. Participants in the high-valence condition showed a larger increase in physiologic arousal when comparing mean tonic GSR during the orientation simulation to the study simulation (high-valence mean difference = 4.21 μS, SD = 1.23 vs low-valence mean difference = 1.64 μS, SD = 2.32, t(1,13) = -2.62, p = .01).
In addition to being consistent with previous engagement research, this experiment functioned as a feasibility study for measuring autonomic arousal in online CME. The current study provides a framework for future studies, which may use neurophysiology to identify the critical autonomic and engagement components associated with effective online learning.
自主唤醒是理解学习的一个重要组成部分，因为它与认知努力、注意力和情绪唤醒有关。然而，目前对于其与在线教育的关系知之甚少。我们进行了一项研究，以确定测量自主唤醒和参与在线继续医学教育（CME）的可行性。
使用计算机模拟评估工具（CSAT）平台，将医疗保健提供者随机分配到基于网络的关于退伍军人风险评估模拟的高效价或低效价版本中。收集了参与者在模拟中的行为、自我报告的认知参与度、知识保留情况以及使用皮肤电反应（GSR）测量的自主唤醒数据。
高效价组（n = 7）的参与者选择关键行动的百分比（M = 79.2，SD = 4.2）低于低效价组（n = 8）的参与者（M = 83.9，SD = 3.6，t(1,14) = 2.44，p = .03）。虽然无统计学意义，但高效价组参与者报告的认知参与度更高。将定向模拟期间的平均静息GSR与研究模拟期间进行比较时，高效价组参与者的生理唤醒增加幅度更大（高效价组平均差异 = 4.21 μS，SD = 1.23；低效价组平均差异 = 1.64 μS，SD = 2.32，t(1,13) = -2.62，p = .01）。
除了与先前的参与度研究一致外，该实验还作为测量在线CME中自主唤醒的可行性研究。本研究为未来的研究提供了一个框架，未来研究可能会利用神经生理学来确定与有效在线学习相关的关键自主和参与成分。
