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Monitoring brain waves in an effort to investigate student's cognitive load during a variety of problem solving scenarios

机译:在各种问题解决方案期间监测脑波努力调查学生的认知负荷

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This paper focuses on understanding cognitive load, cognitive flexibility, cognitive efficiency, and their implications for learning. Cognitive load is commonly defined to be the total amount of mental effort that is being used by the working memory at a given time. Recently, researchers have shown that an Electroencephalograph (EEG) can be a reliable tool to measure the cognitive load that one may experience while performing various tasks. We used this knowledge as the basis for a two-phase study, the goal of which is to establish a mapping of cognitive load throughout the engineering design process, so that we may highlight the key differences between novice engineering students and advanced engineering students. During the first phase of this study we evaluated the B-Alert EEG system's ability to measure cognitive load in problem solving situations. Sophomore and senior engineering students solved engineering problems of varying complexity while connected to the B-Alert system. From the collected data, we are able to see a relationship between problem difficulty and cognitive load experienced. Further analysis of the collected data is needed to identify metrics that may be used to evaluate one's cognitive flexibility and cognitive efficiency. The second phase of this study will focus on analyzing the same cognitive functions as both novice and advanced engineering students solve design problems, which tend to be complex and open-ended in nature.
机译:本文重点介绍了解认知负荷,认知灵活性,认知效率及其对学习的影响。认知负荷通常被定义为在给定时间在工作存储器中使用的心理努力总量。最近,研究人员表明,脑电图(EEG)可以是可靠的工具来测量人们在执行各种任务时可能经历的认知负荷。我们将这些知识作为两相研究的基础,其目标是在整个工程设计过程中建立认知负荷的映射,从而突出新手工程学生和先进工程学生之间的关键差异。在本研究的第一阶段,我们评估了B-Alert EEG系统测量问题解决情况下的认知负荷的能力。二年级学生和高级工程学生在连接到B-Alert系统时解决了不同复杂性的工程问题。从收集的数据来看,我们能够看到问题难度与认知负荷之间的关系。需要进一步分析所收集的数据,以识别可用于评估一个人的认知灵活性和认知效率的指标。本研究的第二阶段将侧重于分析与新手和先进的工程学生解决设计问题相同的认知功能,这往往是复杂和开放的本质上。

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