A bird's-eye view of research practices in mathematical cognition, learning, and instruction: Reimagining the status quo

被引:0
作者
Alibali, Martha W. [1 ]
Matthews, Percival G. [2 ]
Rodrigues, Jessica [3 ]
Meng, Rui [2 ]
Vest, Nicholas A. [1 ]
Jay, Victoria [1 ]
Menendez, David [4 ]
Murray, Jennifer O. [1 ]
Donovan, Andrea Marquardt [1 ]
Anthony, Lauren E. [1 ]
Mcneil, Nicole M. [5 ]
机构
[1] Univ Wisconsin Madison, Dept Psychol, Madison, WI 53706 USA
[2] Univ Wisconsin Madison, Dept Educ Psychol, Madison, WI 53706 USA
[3] Univ Missouri, Dept Special Educ, Columbia, MO 65211 USA
[4] Univ Calif Santa Cruz, Dept Psychol, Santa Cruz, CA 95064 USA
[5] Univ Notre Dame, Dept Psychol, Notre Dame, IN 46556 USA
关键词
Mathematical cognition; Learning; Instruction; Education; Research communication; Research practices; LANGUAGE SUPPORTS; NUMBER; KNOWLEDGE; INTERVENTION; RETHINKING; CONCRETE; FRACTION; ORIGINS; SKILLS; US;
D O I
10.1016/j.jecp.2024.106056
中图分类号
B844 [发展心理学(人类心理学)];
学科分类号
040202 ;
摘要
Research on mathematical cognition, learning, and instruction (MCLI) often takes cognition as its point of departure and considers instruction at a later point in the research cycle. In this article, we call for psychologists who study MCLI to reflect on the "status quo" of their research practices and to consider making instruction an earlier and more central aspect of their work. We encourage scholars of MCLI (a) to consider the needs of educators and schools when selecting research questions and developing interventions; (b) to compose research teams that are diverse in the personal, disciplinary, and occupational backgrounds of team members; (c) to make efforts to broaden participation in research and to conduct research in authentic settings; and (d) to communicate research in ways that are accessible to practitioners and to the general public. We argue that a more central consideration of instruction will lead to shifts that make research on MCLI more theoretically valuable, more actionable for educators, and more relevant to pressing societal challenges. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
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页数:26
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