论文标题
使用复杂网络分析课程计划
Analyzing course programmes using complex networks
论文作者
论文摘要
我们使用复杂网络的统计物理学工具分析了研究所中工程早期的课程。自然，课程课程是以网络形式（时间依赖性和先决条件）结构的。在这种方法中，每个程序中的每个主题都与一个节点相关联，而该节点又通过表示主题的依赖性来理解另一个学科的链接。作为课程程序是一个与时间有关的结构，我们提出了一个简单的模型来分配节点之间的链接，仅考虑到教学过程的两种要素：递归性和知识的积累。由于我们已经知道该程序，因此我们的目标是验证所提出的模型是否能够捕获其特殊性，并确定不同测序对工程学位早期学生学习的含义。我们的模型可以用作系统的工具，有助于构建更跨学科的课程，并在本科早年学科的精确科学学科之间表达。
We analyze the curriculum of the early common-years of engineering in our institute using tools of statistical physics of complex networks. Naturally, a course programme is structured in a networked form (temporal dependency and prerequisites). In this approach, each topic within each programme is associated with a node, which in turn is joined by links representing the dependence of a topic for the understanding of another in a different discipline. As a course programme is a time-dependent structure, we propose a simple model to assign links between nodes, taking into account only two ingredients of the teaching-learning process: recursiveness and accumulation of knowledge. Since we already know the programmes, our objective is to verify if the proposed model is able to capture their particularities and to identify implications of different sequencing on the student learning in the early years of engineering degrees. Our model can be used as a systematic tool assisting the construction of a more interdisciplinary curriculum, articulating between disciplines of the undergraduate early-years in exact sciences.
