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Computational Literacy and The Big Picture Concerning Computers in Mathematics Education

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MATHEMATICAL THINKING AND LEARNING
卷 20, 期 1, 页码 3-31

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ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/10986065.2018.1403544

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  1. National Science Foundation
  2. Spencer Foundation

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This article develops some ideas concerning the big picture of how using computers might fundamentally change learning, with an emphasis on mathematics (and, more generally, STEM education). I develop the big-picture model of computation as a new literacy in some detail and with concrete examples of sixth grade students learning the mathematics of motion. The principles that define computational literacy also serve as an analytical framework to examine competitive big pictures, and I use them to consider the plausibility, power, and limitations of other important contemporary trends in computationally centered education, notably computational thinking and coding as a social movement. While both of these trends have much to recommend them, my analysis uncovers some implausible assumptions and counterproductive elements of those trends. I close my essay with some more practical and action-oriented advice to mathematics educators on how best to orient to the long-term trajectory (big picture) of improving mathematics education with computation.

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