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2010, 12, v.39;No.281 3-14
复杂性、复杂性还原及教育探究中的方法论借用
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发布时间: 2010-12-15
出版时间: 2010-12-15
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摘要:

复杂性使我们将这个世界和我们自己理解为是开放的、递归的、有机的、非线性的和突现的,而对那种机械论学说的可预测的和可控制的假设持怀疑的态度。如果我们将教育理解为是一个复杂的系统,那么我们就可以看到(也欢迎)在"输入"和"输出"(即政策、课程、教学法与学习、认同)之间存在着差距,因为我们将他们理解为是突现的现场,而不是需要用明确的知识来填补的空缺。从复杂性的观点来看,知识和理解并不是在教育中预先存在的用来表达或表现的"对象",而是通过教育过程突现出来的。认同也是以不可预测的方法通过或在教育过程中突现出来的。然而,很多教育研究者通过种种复杂性的还原寻求预测和控制,其中包括前期简化初始变量以及后期对特定的发展路径进行选择。在本论文中,我从理论、历史、实践和政治几个维度审视教育中的复杂性还原以及他们对探究和行动的意蕴。我着重要阐述的是一些教育研究者是如何通过借用其他研究活动中的方法来简化他们探究的复杂性,例如借用医学科学中的"基于证据"的研究方法,借用测量学中的"三角论证"的隐喻。

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[1]参见Brian Castellani(2009)的复杂性科学图以及与此相关的社会学研究(Castellani&Hafferty,2009)。请注意,在某些科学专门领域有关复杂性系统的研究似乎早在19世纪70年代就出现了,如Willard Gibbs有关多相化学热力学的开创性研究(参见Weaver,1948)。

[2]20世纪80年代和90年代早期对混沌和复杂性问题进行探究的其他教育学者还包括Daiyo Sawada&Michael Caley(1985),Catherine Ennis(1992),Bill Green&Chris Bigum(1993)和我(Gough,1991)。这些早期的研究有些几乎专门集中于混沌理论,这一理论解释了动态系统中显然是复杂行为的一个原因,即某些系统对初始条件中的变量的敏感性。尽管混沌系统是确定的,但他们并不是可预测的,因为初始条件中的小误差(如在数值计算中由化整而引起的误差)可以产生差异巨大的结果。复杂系统不是可预测的,因为他们不是确定的;自组织(即,我们所理解的模式或秩序)是从多重的交往中突现的。

[1]第二个版本(与Howard Odum合著)于1959年出版,第三个版本(独著)于1971年出版。根据Odum的传记作家,BettyJean Craige(2001)记载,他的教科书《基础生态学》(1983),“实际上是《生态学基本原理》的第四个版本”(p.191)。Odum的思想作为生态学发展中的后沿观念仍继续存在着,他的第五版教科书(Odum&Barrett,2005)在他去世后的第三年面世了。

[2]例如,参见《环境教育研究》,4(4),1999的来稿,这期特刊是关于重要人生经历的研究,特约编辑为Tanner。

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[1]诺尔·高夫,陆晓红.复杂性、复杂性还原及教育探究中的方法论借用[J].全球教育展望,2010,39(12):3-14.

发布时间:

2010-12-15

出版时间:

2010-12-15

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