课程先决条件网络：学术课程可视化和分析工具
The curriculum prerequisite network: a tool for visualizing and analyzing academic curricula
摘要：
本文提出的先决条件网络作为一种手段，可视化隐藏的结构在学术课程。网络技术已经在社会分析中使用了一段时间，最近在基因组学和系统生物学领域也使用了网络技术。在这里，我把课程作为一个复杂的系统，节点代表课程，节点之间的联系，课程的先决条件，很容易从课程目录。由此产生的课程先决条件网络可以呈现为一个有向无环图，它具有某些理想的分析功能。课程被划分为许多孤立的课程组，组的大小差异很大。各个课程在整个组织中扮演着非常不同的角色，例如信息源、枢纽和桥梁。这个网络代表了课程中信息流动的内在的、硬连线的约束，是学习发生的组织背景。
英文摘要：
This article advances the prerequisite network as a means to visualize the hidden structure in an academic curriculum. Network technologies have been used for some time now in social analyses and more recently in biology in the areas of genomics and systems biology. Here I treat the curriculum as a complex system with nodes representing courses and links between nodes the course prerequisites as readily obtained from a course catalogue. The resulting curriculum prerequisite network can be rendered as a directed acyclic graph, which has certain desirable analytical features. The curriculum is seen as partitioned into numerous isolated course groupings, the size of the groups varying considerably. Individual courses are seen serving very different roles in the overall organization, such as information sources, hubs, and bridges. This network represents the intrinsic, hard-wired constraints on the flow of information in a curriculum, and is the organizational context within which learning occurs.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
