Chasing Shadows: Why There Cannot be a “Simple” Science of Literacy

D. Yaden
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Abstract

The rhetoric of the reading wars has become more than just an armchair academic debate, but is encoded now in the very laws, house and senate bills, and legislative policies of the majority of the states. In turn, these policies are powered by staggering sums of money such as the 90-million-dollar investment of Fulton County, Georgia in a revamp of the failed No Child Left Behind initiative of two decades ago since, according to district officials, “Some college programs don’t sufficiently prepare future teachers to teach reading.” And Tennessee plans to spend 100 million dollars on their Reading 360—a program which stresses the development of “strong, phonics-based reading skills.” In this address, I contest the narrow perceptions of what has been called the science of reading movement and focus rather upon another contender for the science throne—that of Developmental Science. Using examples from emergent bilingual children's early writing, I attempt to show that any “simple” model of reading not only wastes useful data about children's literacy performances, but conflates the data with static states of being which, in turn, reduce the conceptual complexity of what is happening in terms of literacy development. Developmentally speaking, my contention is that models based upon the science of reading demand a slavish focus on the alphabet and figural convention. However, Developmental Science challenges the literacy field to embrace the complexity of the developmental processes, and as Vygotsky further argued, “bring the child to an internal understanding of writing” in whatever language that may be.
追逐影子:为什么不可能有一门“简单”的识字科学
阅读战争的修辞已经不仅仅是纸上谈兵的学术辩论,而且已经被写入了法律、参众两院的法案以及大多数州的立法政策中。反过来,这些政策是由数额惊人的资金推动的,比如,乔治亚州富尔顿县投资9000万美元,对20年前失败的“不让一个孩子掉队”(No Child Left Behind)计划进行改造,据当地官员说,“一些大学项目没有为未来的教师教授阅读做好充分的准备。”田纳西州计划在他们的“阅读360”项目上投入1亿美元,该项目强调培养“基于语音的强大阅读技能”。在这篇演讲中,我对所谓阅读运动科学的狭隘看法提出了质疑,并将重点放在另一个科学宝座的竞争者——发展科学上。我以新兴双语儿童的早期写作为例,试图表明任何“简单”的阅读模型不仅浪费了关于儿童读写能力表现的有用数据,而且将数据与静态存在状态混为一谈,从而降低了读写能力发展过程中概念的复杂性。从发展的角度来看,我的观点是,基于阅读科学的模型需要盲目地关注字母和数字惯例。然而,发展科学挑战识字领域,让它接受发展过程的复杂性,正如维果茨基进一步指出的那样,“让孩子对写作有一种内在的理解”,无论这种理解是什么语言。
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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