Area de Estadistica e Investigacion Operativa, ETSII, URJC, Mostoles, Spain.
Instituto Universitario de Evaluacion Sanitaria, UCM, Madrid, Spain.
PLoS One. 2021 Mar 11;16(3):e0248208. doi: 10.1371/journal.pone.0248208. eCollection 2021.
Content addition to courses and its subsequent correct sequencing in a study plan or curricula design context determine the success (and, in some cases, the failure) of such study plan in the acquisition of knowledge by students. In this work, we propose a decision model to guide curricular design committees in the tasks of course selection and sequencing in higher education contexts using a novel methodology based on network analysis. In this work, the local and global properties stemming from complex network analysis tools are studied in detail to facilitate the design of the study plan and to ensure its coherence by detecting the communities within a graph, and the local and global centrality of the courses and their dependencies are analyzed, as well as the overlapping subgroups and the functions and different positions among them. The proposed methodology is applied to the study of a real case at the Universidad Rey Juan Carlos.
在课程内容的添加及其在学习计划或课程设计中的正确排序方面,决定了该学习计划在学生获取知识方面的成败(在某些情况下,甚至是成败)。在这项工作中,我们提出了一种决策模型,该模型使用基于网络分析的新方法,为课程选择和排序任务提供指导,以帮助课程设计委员会进行决策。在这项工作中,详细研究了源自复杂网络分析工具的局部和全局属性,以通过检测图中的社区来设计学习计划,并通过分析课程及其依赖关系的局部和全局中心性、重叠子组及其功能和不同位置,来确保其连贯性。所提出的方法应用于在雷尔胡安卡洛斯大学的一个实际案例研究。