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Measurement of high-school students’ trait math anxiety using neurophysiological recordings during math exam
IEEE Access ( IF 3.9 ) Pub Date : 2020-01-01 , DOI: 10.1109/access.2020.2982198
Zhilin Qu , Jingjing Chen , Baosong Li , Jinxuan Tan , Dan Zhang , Yu Zhang

Math anxiety (MA), i.e. a trait factor describing the feelings of tension, apprehension, and fear during mathematics-related situations, has attracted increasing interest in recent years, due to its importance in people’s daily life and career development, especially in our modern digital world. Although the measurement of individuals’ trait MA has mostly relied on self-reported psychological scales, emerging studies are seeking for objective measurement by using behavioral or neurophysiological data. The present study, for the first time, investigated the neurophysiological signatures of trait MA in a cohort of high school students during their 90-minute real final-term math exam. Wrist-worn wearable devices were used for recording their autonomic nervous system activities, including skin conductance (SC) and heart rate (HR). The calculation of pairwise correlation revealed that both SC and HR could reflect the individual’s math evaluation anxiety (MEA) score, which is one of the two sub-components of trait MA. Specifically, the tonic level of SC was negatively correlated with MEA during the 5-minute pre-exam period when the students were anticipating the exam, whereas HR was positively correlated with MEA at two later time windows during the exam (63–65 minutes and 82–85 minutes, after the start of the exam). A leave-one-out regression analysis revealed a correlation ( $r =.349$ , $p =.094$ ) between the self-reported MEA scores and the scores predicted by these neurophysiological signatures. Our findings provide neurophysiological evidence of trait MA in a real-life context and demonstrate the potential of implementing an objective measurement of trait MA based on neurophysiological signals.

中文翻译:

使用神经生理记录测量高中生数学考试中的特质数学焦虑

数学焦虑 (MA),即描述数学相关情境中的紧张、忧虑和恐惧感的特征因素,近年来引起了越来越多的关注,因为它在人们日常生活和职业发展中的重要性,尤其是在我们现代数字世界。尽管个人特质 MA 的测量主要依赖于自我报告的心理量表,但新兴研究正在寻求使用行为或神经生理学数据进行客观测量。本研究首次调查了一群高中生在 90 分钟的真实期末数学考试中 MA 特质的神经生理学特征。腕戴式可穿戴设备用于记录他们的自主神经系统活动,包括皮肤电导 (SC) 和心率 (HR)。成对相关的计算表明,SC 和 HR 都可以反映个人的数学评估焦虑 (MEA) 分数,这是特质 MA 的两个子成分之一。具体而言,在学生期待考试的 5 分钟预考期间,SC 的强直水平与 MEA 呈负相关,而 HR 在考试期间的两个后期时间窗口(63-65 分钟和82–85 分钟,考试开始后)。留一法回归分析揭示了自我报告的 MEA 分数与这些神经生理学特征预测的分数之间存在相关性($r =.349$,$p =.094$)。
更新日期:2020-01-01
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