Pizzie Rachel G, Kraemer David J M
Educational Neuroscience Program, Gallaudet University, Washington, DC, United States.
Department of Education, Dartmouth College, Hanover, NH, United States.
Front Psychol. 2021 May 11;12:639448. doi: 10.3389/fpsyg.2021.639448. eCollection 2021.
Emotion regulation (ER) strategies may reduce the negative relationship between math anxiety and mathematics accuracy, but different strategies may differ in their effectiveness. We recorded electrodermal activity (EDA) to examine the effect of physiological arousal on performance during different applied ER strategies. We explored how ER strategies might affect the decreases in accuracy attributed to physiological arousal in high math anxious (HMA) individuals. Participants were instructed to use cognitive reappraisal (CR), expressive suppression (ES), or a "business as usual" strategy. During the ES condition, HMA individuals showed decreases in math accuracy associated with increased EDA, compared to low math anxious (LMA) individuals. For both HMA and LMA groups, CR reduced the association between physiological arousal and math accuracy, such that even elevated physiological arousal levels no longer had a negative association with math accuracy. These results show that CR provides a promising technique for ameliorating the negative relationship between math anxiety and math accuracy.
情绪调节（ER）策略可能会减少数学焦虑与数学准确性之间的负相关关系，但不同策略的效果可能存在差异。我们记录了皮肤电活动（EDA），以检验在不同应用的ER策略过程中生理唤醒对表现的影响。我们探究了ER策略如何可能影响高数学焦虑（HMA）个体中因生理唤醒导致的准确性下降。参与者被指示使用认知重评（CR）、表达抑制（ES）或“照常行事”策略。在ES条件下，与低数学焦虑（LMA）个体相比，HMA个体的数学准确性下降且EDA增加。对于HMA和LMA组，CR均降低了生理唤醒与数学准确性之间的关联，以至于即使生理唤醒水平升高也不再与数学准确性呈负相关。这些结果表明，CR为改善数学焦虑与数学准确性之间的负相关关系提供了一种有前景的技术。
