A Survey of Applications that use Graph-based Educational Data Mining

Resumo

Graph-based Educational Data Mining can be used to analyze educational scenarios that are best represented by complex networks. To manipulate these networks, several algorithms have been proposed and are implemented in tools that facilitate the development of practical applications. This article presents a survey of applications in the educational domain implemented using graph based data mining, and published from 1990 to 2018. 30 papers were selected. Information extracted from these papers include the research questions they proposed to answer, the adopted graph representation, and the data mining algorithms and tools used. Non-statistical methods were used to evaluate and interpret the findings. The results highlight the domains and types of problems where graph-based education data mining is being used and the graphs/networks used to represent these contexts, as well as the dominant data mining approaches being adopted to extract information from these structures