元认知
任务(项目管理)
心理学
构造(python库)
认知
透视图(图形)
情感(语言学)
认知心理学
过程(计算)
思维过程
数学教育
计算机科学
管理
沟通
神经科学
人工智能
经济
统计思维
程序设计语言
操作系统
作者
Ayanna K. Thomas,Alia N. Wulff,Dominique Landinez,John B. Bulevich
摘要
Metacognition, or thinking about thinking, is a phenomenon that has received much attention across the numerous fields of Psychological Science. The overarching goal has centered on understanding how humans monitor their internal mental processes and exert control over these processes. However, discipline-focused approaches with little generalized discussion across the field have yielded an incomplete understanding of the construct of metacognition. Consider, for example, the cognitive approach: from this perspective, researchers have developed predictive models and useful frameworks. Further, the field has produced sophisticated techniques to measure monitoring accuracy and define attributes that contribute to monitoring assessments and control process selection. However, the impact of this research has been relatively limited and isolated from metacognitive investigations that consider other important constructs such as motivation and affect. The approaches taken in subfields, such as educational psychology, emotion, and neuropsychology when combined with the cognitive approach, may result in a more complete picture and thorough understanding of metacognition. In this article, we present an argument that the study of metacognition should bridge the various subfields of psychological inquiry. We present a framework toward an integrative approach to understanding metacognition as a complementary process to meta-affect and encourage researchers to consider the study of metacognition from a broader perspective. This article is categorized under: Psychology > Memory Psychology > Emotion and Motivation.
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