What the Science of Learning Teaches Us About Arithmetic Fluency.

IF 18.2 1区 心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Nicole M McNeil,Nancy C Jordan,Alexandria A Viegut,Daniel Ansari
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Abstract

High-quality mathematics education not only improves life outcomes for individuals but also drives innovation and progress across society. But what exactly constitutes high-quality mathematics education? In this article, we contribute to this discussion by focusing on arithmetic fluency. The debate over how best to teach arithmetic has been long and fierce. Should we emphasize memorization techniques such as flashcards and timed drills or promote "thinking strategies" via play and authentic problem solving? Too often, recommendations for a "balanced" approach lack the depth and specificity needed to effectively guide educators or inform public understanding. Here, we draw on developmental cognitive science, particularly Sfard's process-object duality and Karmiloff-Smith's implicit-explicit knowledge continuum, to present memorization and thinking strategies not as opposing methods but as complementary forces. This framework enables us to offer specific recommendations for fostering arithmetic fluency based on the science of learning. We define arithmetic fluency, provide evidence on its importance, describe the cognitive structures and processes supporting it, and share evidence-based guidance for promoting it. Our recommendations include progress monitoring for early numeracy, providing explicit instruction to teach important strategies and concepts, implementing well-structured retrieval practice, introducing time-limited practice only after students demonstrate accuracy, and allocating sufficient time for discussion and cognitive reflection. By blending theory, evidence, and practical advice, we equip educators and policymakers with the knowledge needed to ensure all children have access to the opportunities needed to achieve arithmetic fluency.
学习的科学教给我们的算术流畅性。
高质量的数学教育不仅能改善个人的生活成果,还能推动整个社会的创新和进步。但究竟是什么构成了高质量的数学教育?在本文中,我们通过关注算术流畅性来促进这一讨论。关于如何最好地教授算术的争论已经持续了很长时间。我们应该强调记忆技巧,如抽认卡和定时练习,还是通过游戏和真实的问题解决来促进“思考策略”?关于“平衡”方法的建议往往缺乏有效指导教育工作者或促进公众理解所需的深度和具体内容。在这里,我们利用发展认知科学,特别是sard的过程-客体二元性和Karmiloff-Smith的内隐-外显知识连续体,来展示记忆和思维策略不是对立的方法,而是互补的力量。这个框架使我们能够在学习科学的基础上为培养算术流畅性提供具体的建议。我们定义了算术流畅性,提供了其重要性的证据,描述了支持它的认知结构和过程,并分享了促进它的循证指导。我们的建议包括监测早期计算的进度,提供明确的指导来教授重要的策略和概念,实施结构良好的检索练习,只有在学生证明准确性后才引入有时间限制的练习,并分配足够的时间进行讨论和认知反思。通过将理论、证据和实际建议相结合,我们为教育工作者和政策制定者提供了必要的知识,以确保所有儿童都有机会实现算术流畅。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Psychological Science in the Public Interest
Psychological Science in the Public Interest PSYCHOLOGY, MULTIDISCIPLINARY-
CiteScore
44.80
自引率
0.40%
发文量
7
期刊介绍: Psychological Science in the Public Interest (PSPI) is a distinctive journal that provides in-depth and compelling reviews on issues directly relevant to the general public. Authored by expert teams with diverse perspectives, these reviews aim to evaluate the current state-of-the-science on various topics. PSPI reports have addressed issues such as questioning the validity of the Rorschach and other projective tests, examining strategies to maintain cognitive sharpness in aging brains, and highlighting concerns within the field of clinical psychology. Notably, PSPI reports are frequently featured in Scientific American Mind and covered by various major media outlets.
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