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Diffusion of Pedagogical Innovations as a Complex Adaptive Process - Agent-Based Modeling as Research Method

机译:教学创新的扩散作为一种复杂的自适应过程 - 基于代理的研究方法

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This paper is interested in both the sustainability and scalability of diffusion of pedagogical innovations in educational contexts. We argue that the diffusion of pedagogical innovations is a complex adaptive process. Current research methods, while informative, have limitations insofar as the non-linear, adaptive, and emergent properties of complex diffusion processes are concerned. To this end, this paper proposes the use of Agent-Based Modeling (ABM) as a complementary method. Following a review of existing methodologies, we set up an imperative for ABM, describe what ABM entails, and examine its affordances and limitations in emerging the diffusion patterns by simulating the decision making processes of boundedly-rational individuals in socio-organizational networks. We further argue that ABM is particularly helpful for exploring diffusion patterns in "what if" scenarios, and for making policies that foster sustainable and scalable innovation diffusion.
机译:本文对教育背景下的教学创新扩散的可持续性和可扩展性感兴趣。我们认为教学创新的扩散是一种复杂的自适应过程。目前的研究方法虽然提供了信息,但有局限性,因为涉及复杂扩散过程的非线性,自适应和紧急特性。为此,本文提出了使用基于代理的建模(ABM)作为互补方法。在审查现有方法后,我们为ABM设置了一个必要的,描述了ABM所需的,并通过模拟社会组织网络中的有限合理的决策过程来检查其在新兴模式中实现扩散模式的可行性和限制。我们进一步争辩说,ABM在“如果”情景中的“何时何时何时何时何时何时探索扩散模式,以及制定促进可持续和可扩展的创新扩散的政策特别有助于。

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