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Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks

机译:利用脑电图测量来比较特定于任务的神经效率:空间智能任务

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摘要

Spatial intelligence is often linked to success in engineering education and engineering professions. The use of electroencephalography enables comparative calculation of individuals' neural efficiency as they perform successive tasks requiring spatial ability to derive solutions. Neural efficiency here is defined as having less beta activation, and therefore expending fewer neural resources, to perform a task in comparison to other groups or other tasks. For inter-task comparisons of tasks with similar durations, these measurements may enable a comparison of task type difficulty. For intra-participant and inter-participant comparisons, these measurements provide potential insight into the participant's level of spatial ability and different engineering problem solving tasks. Performance on the selected tasks can be analyzed and correlated with beta activities. This work presents a detailed research protocol studying the neural efficiency of students engaged in the solving of typical spatial ability and Statics problems. Students completed problems specific to the Mental Cutting Test (MCT), Purdue Spatial Visualization test of Rotations (PSVT:R), and Statics. While engaged in solving these problems, participants' brain waves were measured with EEG allowing data to be collected regarding alpha and beta brain wave activation and use. The work looks to correlate functional performance on pure spatial tasks with spatially intensive engineering tasks to identify the pathways to successful performance in engineering and the resulting improvements in engineering education that may follow.
机译:空间智能通常与工程教育和工程专业的成功联系在一起。脑电图的使用可以对个人的神经效率进行比较计算,因为他们执行需要空间能力才能得出解决方案的连续任务。与其他组或其他任务相比,此处将神经效率定义为具有较少的beta激活,因此花费较少的神经资源来执行任务。对于具有相似持续时间的任务的任务间比较,这些度量可以实现任务类型难度的比较。对于参与者内部和参与者之间的比较,这些度量提供了潜在的洞察力,可以了解参与者的空间能力水平和不同的工程问题解决任务。可以分析所选任务的绩效并将其与beta活动相关联。这项工作提出了详细的研究方案,研究从事解决典型空间能力和静态问题的学生的神经效率。学生完成了心理切割测试(MCT),旋转的Purdue空间可视化测试(PSVT:R)和静力学的特定问题。在解决这些问题的过程中,参与者的脑电波用EEG进行了测量,从而可以收集有关α和β脑电波激活和使用的数据。该工作旨在将纯空间任务的功能性能与空间密集的工程任务相关联,以识别成功实现工程性能的途径以及随之而来的工程教育方面的改进。

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