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Courses-Concepts-Graphs as a Tool to Measure the Importance of Concepts in University Programmes

机译:课程概念图作为衡量大学课程中概念重要性的工具

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This paper investigates methods for quantitatively assessing the importance and relative importance of concepts taught in a university program. This assessment has many uses, e.g., to aid program design and inventory, and for communicating what concepts a course may rely on at a given point in the program. We propose to perform this quantitative assessment in two steps: first, representing the university program as an opportune graph with courses and concepts as nodes and connections between courses and concepts as edges; second, by quantitatively defining each concept's importance as its centrality as a node within the network. We thus perform two investigations, both leveraging a practical case - data collected from two engineering programs at two Swedish university: a) how to represent university programs in terms of graphs (here called Courses-Concepts Graph (CCG)), and b) how to reinterpret the most classical graph-theoretical node centrality indexes in the pedagogical term of concept centrality index.
机译:本文研究了定量评估大学课程中所教授概念的重要性和相对重要性的方法。该评估具有许多用途,例如,用于辅助程序设计和清单编制,以及用于传达课程在程序中给定点可能依赖的概念。我们建议分两个步骤进行定量评估:首先,将大学课程表示为一个以课程和概念为节点,以课程和概念之间的连接为边缘的机会图。第二,通过量化定义每个概念的重要性,将其作为网络中节点的中心性。因此,我们进行了两次调查,均利用了一个实际案例-从瑞典两所大学的两个工程计划中收集的数据:a)如何用图形表示大学课程(此处称为课程概念图(CCG)),b)如何用图形表示以概念集中度指标的教学术语重新解释最经典的图论节点集中度指标。

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