Capturing Primary School Students’ Emotional Responses with a Sensor Wristband

H. Sasse, M. Leuchter
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引用次数: 1

Abstract

The emotions experienced by primary school students have both positive and negative effects on learning processes. Thus, to better understand learning processes, research should consider emotions during class. Standard survey-based methods, such as self-reports, are limited in terms of capturing the detailed trajectories of primary school  children’s emotions, as their abilities of self-reporting are developing and still limited. Emotions can also be tracked by capturing emotional responses as they occur e.g. from physiological reaction measured with sensor wristbands. This technology generates an emotional responsestypology based on continuously captured physiological data, such as skin conductivity and skin temperature. However, such measurement methods need to be validated before being used. The present study thus attempted to validate this instrument with primary school students. We used the BM Sensor Wristband technology, as its emotional response typology is based on the categorical emotion and homeostasis approach. In our research, we focus on the emotional responses that can be distinguished by the BM Typology and that can influence learning processes. These emotional responses are: “joy”, “curiosity”, “attention”, “fear”, “anger” and “passivity”. Therefore, we induced emotional responses in primary school children through specifically developed audio-visual stimuli. Using logistic mixed effects modelling, we investigated the occurrence of opposing reactions. We observed that primary school children’s reactions to audio-visual stimuli could be differentiated. We conclude that primary school children’s emotional responses, such as “joy”, “curiosity”, “attention”, “fear”, “anger” and “passivity”, can be accurately measured by evaluating physiological data.
用传感器腕带捕捉小学生的情绪反应
小学生的情绪体验对学习过程有积极和消极的影响。因此,为了更好地理解学习过程,研究应该考虑课堂上的情绪。标准的基于调查的方法,如自我报告,在捕捉小学生情绪的详细轨迹方面是有限的,因为他们的自我报告能力还在发展中,仍然有限。情绪也可以通过捕捉情绪反应来追踪,比如用传感器腕带测量生理反应。这项技术基于持续捕获的生理数据,如皮肤电导率和皮肤温度,产生一种情绪反应类型。然而,这种测量方法在使用前需要进行验证。因此,本研究试图在小学生中验证这一工具。我们使用了BM传感器腕带技术,因为它的情绪反应类型是基于分类情绪和体内平衡的方法。在我们的研究中,我们将重点放在可以通过BM类型学区分的情绪反应上,这些情绪反应可以影响学习过程。这些情绪反应是:“高兴”、“好奇”、“注意”、“恐惧”、“愤怒”和“被动”。因此,我们通过专门开发的视听刺激来诱导小学生的情绪反应。使用逻辑混合效应模型,我们调查了相反反应的发生。我们观察到小学生对视听刺激的反应是有区别的。我们的结论是,小学生的“喜悦”、“好奇”、“注意”、“恐惧”、“愤怒”和“被动”等情绪反应可以通过评估生理数据来准确测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontline Learning Research
Frontline Learning Research Social Sciences-Education
CiteScore
5.50
自引率
0.00%
发文量
6
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