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Summative EEG-based Assessment of the Relations between Learning Styles and Personality Traits of Openness

机译:基于总结性脑电图的学习风格与开放性格特征之间关系的评估

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Learning styles (LS), being one of the important attributes of a learner's profile, are relevant to different aspects of teaching and learning such as the learner's achievement and motivation. Equally important is the personality traits of ‘Openness’, which relate positively to knowledge and skill acquisition, thus making them relevant to learning and learners differences. Recognizing the importance of LS and Openness in profiling learners, the researchers carried out this study to examine the relationship between these two factors using a novel method based on Electroencephalogram (EEG) technology. In this research, Kolb's Learning Style Inventory (KLSI) was used to determine 131 participants’ LS: Diverger, Assimilator, Converger or Accommodator . The EEG technology was used to record the participants’ brain signals (with their eyes closed) to generate the dataset of EEG Beta band of baseline condition. Later, the dataset was processed and classified based on the LS using the 2-Step Cluster Analysis . The result showed that the brain signals could be processed effectively to classify the participants’ LS. More importantly, among the LS studied, convergers and assimilators were observed to have positive and strong relation with Openness. Between the two learning styles, assimilators were found to have stronger relation with Openness than convergers.
机译:学习风格(LS)是学习者档案的重要属性之一,它与教学的不同方面有关,例如学习者的成就和动机。同样重要的是,“开放性”的人格特质与知识和技能的获取成正比,因此使它们与学习和学习者的差异有关。认识到LS和开放性对学习者的重要性,研究人员使用基于脑电图(EEG)技术的新方法进行了这项研究,以研究这两个因素之间的关系。在这项研究中,Kolb的学习风格量表(KLSI)用于确定131位参与者的LS:Diverger,Assimilator,Converger或Adcommodator。脑电图技术用于记录参与者的大脑信号(闭眼)以生成基线状况的脑电图Beta数据集。之后,使用两步聚类分析基于LS对数据集进行处理和分类。结果表明,可以有效地处理脑信号以对参与者的LS进行分类。更重要的是,在所研究的LS中,观察到收敛器和同化器与开放度具有正向和密切的关系。在这两种学习方式之间,发现同化器与开放性的关系要强于收敛性。

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