The structure of adult thinking: A network approach to (meta)cognitive processing

IF 3.8 1区 心理学 Q1 PSYCHOLOGY, EDUCATIONAL Learning and Individual Differences Pub Date : 2024-11-30 DOI:10.1016/j.lindif.2024.102584
Gabe Avakian Orona , Jacquelynne S. Eccles , Sabrina Solanki , David A. Copp , Quoc-Viet Dang , Richard Arum
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Abstract

Complex cognitive processes have been broadly categorized into three general domains: first-order cognition (i.e., thinking directed to solve problems), metacognition (i.e., thinking about one's thinking during problem-solving), and epistemic cognition (i.e., thinking about the epistemic nature of problems and beliefs about criteria for knowledge justification). Few, if any studies, have empirically examined the conditional dependencies between a large inventory of components simultaneously. This paper aims to contribute the first set of preliminary explorations into the interrelationships between different thinking and reasoning components that represent key aspects of emerging adult cognitive processing using a psychological network approach. In two cross-sectional studies (combined N = 1496), data was collected from undergraduate students enrolled at a large public university. Scrutiny of the networks suggests that thinking dispositions and competency with probability are key bridges between metacognitive abilities and epistemic beliefs. Implications for instruction are discussed.

Educational relevance statement

It remains a perennial aim of all education systems to improve the thinking and reasoning of students. But which complex cognitive processes are worthwhile targets, and how do they fit among the plethora of metacognitive, self-regulatory, and epistemological belief aspects of students? The present set of studies is the first to apply a network approach to a broad array of cognitive components to uncover the central student-level variables that can be targeted with instruction. Based on the findings of the two studies presented, instruction aimed at epistemic dispositions could potentially assist in the development of complex cognition because of their centrality to networks of effective reasoning processes.
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成人思维结构:一种(元)认知加工的网络方法
复杂的认知过程大致分为三个一般领域:一阶认知(即,针对解决问题的思维),元认知(即,在解决问题的过程中思考自己的思维)和认识论认知(即,思考问题的认识论性质和对知识证明标准的信念)。很少(如果有的话)有实证研究同时检查大量组件之间的条件依赖关系。本文旨在利用心理网络方法对不同思维和推理成分之间的相互关系进行初步探索,这些成分代表了新兴成人认知加工的关键方面。在两项横断面研究(合并N = 1496)中,数据收集自一所大型公立大学的本科生。对这些网络的仔细研究表明,思维倾向和概率能力是元认知能力和认知信念之间的关键桥梁。讨论了对教学的启示。提高学生的思维和推理能力仍然是所有教育系统的长期目标。但是,哪些复杂的认知过程是有价值的目标,它们如何适应学生的过多的元认知、自我调节和认识论信仰方面?本研究首次将网络方法应用于广泛的认知组成部分,以揭示可以通过教学针对的核心学生水平变量。根据这两项研究的结果,针对认知倾向的教学可能有助于复杂认知的发展,因为它们是有效推理过程网络的中心。
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来源期刊
Learning and Individual Differences
Learning and Individual Differences PSYCHOLOGY, EDUCATIONAL-
CiteScore
6.60
自引率
2.80%
发文量
86
期刊介绍: Learning and Individual Differences is a research journal devoted to publishing articles of individual differences as they relate to learning within an educational context. The Journal focuses on original empirical studies of high theoretical and methodological rigor that that make a substantial scientific contribution. Learning and Individual Differences publishes original research. Manuscripts should be no longer than 7500 words of primary text (not including tables, figures, references).
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