认知表现的动态:科学教育实证研究的启示

D. Stamovlasis
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引用次数: 2

摘要

本文讨论了针对非线性动力学假设的科学教育研究。学习科学是一个适合应用跨学科研究的领域,主要用于检验心理学理论。研究表明,在这一领域,复杂性范式和非线性动力学提供了理论进步和对经验数据的更好解释。研究表明,除了线性行为模式外,认知表现也会发生突然转变,这对基本的理论和认识论假设提出了质疑。新皮亚杰框架和动机理论为各种模型提供了作为预测因子的结构,是CDS元理论所包含的局部理论。用突变理论(CT)对突变进行了建模,并对突变进行了分析,揭示了某些变量,即分岔因素的关键作用。当分岔因子超过临界值时,状态变量分裂为两个吸引子区域,成为双峰。分岔效应引起系统的不确定性和不可预测性,系统在两种状态之间振荡,进入混沌状态。然后,在学习成果和成就等状态变量中,预期会出现从成功到失败的突然转变。突变理论解释了与学业失败、辍学、非法行为、突然的态度转变和创造力有关的意外现象。此外,CT还有助于阐明理论争论和相互矛盾的经验证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Dynamics of Cognitive Performance: What Has Been Learnt from Empirical Research in Science Education
This paper discusses investigations in science education addressing the nonlinear dynamical hypothesis. Learning science is a suitable field for applying interdisciplinary research and predominately for testing psychological theories. It was demonstrated that in this area the paradigm of complexity and nonlinear dynamics have offered theoretical advances and better interpretations of empirical data. Research showed that besides linear modes of behavior, sudden transitions occur in cognitive performance and this has questioned basic theoretical and epistemological assumptions. The neo-Piagetian framework and motivational theories offering constructs for serving as predictors in various model are the local theories which are embraced by the CDS meta-theory. Sudden transitions are modeled by catastrophe theory (CT) the analyses of which reveal the crucial role of certain variables, namely the bifurcation factors. Beyond a critical value of the bifurcation factor, the state variable splits into two-attractor regions and becomes bimodal. The bifurcation effect induces uncertainty and unpredictability in the system, which oscillates between two states entering the regime of chaos. Then in state variables such as learning outcomes and achievement, sudden transitions from success to failure are expected. Catastrophe theory explains unexpected phenomena associated with school failure, dropouts, illicit behaviors, sudden attitude change, and creativity. Moreover CT could contribute in elucidating theoretical debates and conflicting empirical evidences.
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