数学焦虑与数学决策的元认知洞察力呈正相关。

Psychological Research Pub Date : 2022-04-01 Epub Date: 2021-05-18 DOI:10.1007/s00426-021-01511-8
Kobe Desender, Delphine Sasanguie
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引用次数: 8

摘要

本研究对数学焦虑、元认知和数学决策之间的相互关系进行了预登记调查。虽然这个问题在以前的工作中已经得到了一些关注,但依赖元认知的自我报告测量阻碍了它的解释。在这里,一个新颖的实验数学决策任务被使用,参与者解决不同难度的数学任务,并表达他们对他们的决策准确性的信心水平,无论是前瞻性的还是回顾性的。数学焦虑使用标准化问卷进行测量。前瞻性和回顾性信心判断都预测了准确性的独特变化;然而,考虑任务难度后,预期信心的解释作用消失。这表明,前瞻性而非回顾性的信心在很大程度上是基于容易获得的暗示表现的线索。多元回归分析结果表明,数学焦虑的个体差异与整体自信水平呈负相关(前瞻性和回顾性),与元认知效率呈正相关(仅前瞻性)。在解决数学焦虑的背景下,洞察这些相互关系是很重要的,这反过来又可能有助于满足全球对更多拥有科学、技术、工程或数学(STEM)学位的工人的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Math anxiety relates positively to metacognitive insight into mathematical decision making.

The current study reports a pre-registered investigation into the interrelations between mathematics anxiety, metacognition and mathematical decision-making. Although this question has already received some attention in previous work, reliance on self-report measures of metacognition has hindered its interpretation. Here, a novel experimental mathematical decision-making task was used in which participants solved mathematical assignments of varying difficulty, and expressed their level of confidence in the accuracy of their decision both prospectively and retrospectively. Mathematics anxiety was measured using a standardized questionnaire. Both prospective and retrospective confidence judgments predicted unique variation in accuracy; however, the explanatory effect of prospective confidence disappeared after taking task difficulty into account. This suggests that prospective, but not retrospective, confidence is largely based on easily available cues indicative of performance. Results of a multiple regression analysis indicated that individual differences in mathematics anxiety were negatively related to the overall level of confidence (both prospectively and retrospectively), and positively related to metacognitive efficiency (only prospectively). Having insight in these interrelationships is important in the context of remediating mathematics anxiety, which might in turn be useful with regard to the worldwide need for more workers with degrees in science, technology, engineering, or mathematics (STEM).

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