作为训练的建设性模型在新情境下解决经典问题:并发进程主动记忆阵列的概念

Milen Loukantchevsky
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摘要

现代训练方法的观点之一是把游戏作为一种文化现象。这种方法目前正在深入研究并日益得到广泛应用。粗略地说,游戏方法可以归结为“让困难的东西变得有趣”。相比之下,当我们谈论与计算机科学和计算机工程密切相关的有经验的学生的教育时,开发人员的观点可能被认为更有成效。开发者的观点(DPV)学习方法可以简单地描述为“问题的解决方案就是游戏”。这种建设性的训练模式植根于建构主义哲学。建构主义认为,学习源于在经验基础上建立心理模型。建构主义意味着让学生参与解决具有挑战性的科学问题。根据美国国家研究委员会(National Research Council)的说法,计算机工程和计算机科学领域有几个这样的问题是公式化的。作为DPV学习方法的一个例子,选取了其中的被动RAM问题。它的解决方案有四个主要阶段:(第一阶段)对所述问题进行精确定义;(第二阶段)解决问题的概念性构想;(第三阶段)将概念思想转化为具体算法;(第四阶段)在合适的框架下编码。描述了前三个,并且从阶段4获得的代码被发布到作者的GitHub存储库中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Solving Classical Problem in New Context as Constructive Model of Training: Active Memory Array of Concurrent Processes Concept
∗One of the perspective modern training methodologies is based on play as cultural phenomenon. This approach currently is deeply investigated and increasingly widely applied. Roughly said, the gaming approach boils down to “make the hard stuff fun”. In contrast, when we talk about education of experienced students closely related to computer science and computer engineering, developer’s point of view could be regarded as more productive. Developer’s point of view (DPV) learning approach could be briefly described as “the very solution to the problem is a game”. Such constructive model of training has its roots in the constructivist philosophy. Constructivism postulates that learning arises from building mental models based on experience. Constructivism implies to engage the students in problem solving of challenging scientific questions. Several such questions in computer engineering and computer science are formulated, according to the US National Research Council. As a sample of the DPV learning approach is selected one of them the Passive RAM Problem. Its solution has four main stages: (Stage 1) a refined definition of the stated problem; (Stage 2) conceptual idea for solving the problem; (Stage 3) transforming the conceptual idea into concrete algorithm; (Stage 4) coding under appropriate framework. The first three are described, and the obtained from Stage 4 code is published into the author’s GitHub repository.
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