Educational Data Mining to Improve E-learning Management: a Systematic Literature Review 2019

Since the mining of educational data helps to analyze the large amount of data generated by e-learning systems, improving the teaching-learning systems,the present study seeks, through a sys-tematic literature review, to check how the topic has been, in recent years, researched. Approach:Once this context is new, emerging and dynamic and that needs analysis of its structure to understand its dynamics, difficulties and potential, this study was developed to analyze the existing structures of e-learning systems, as well as to identify how the educational data mining process can be applied in e-learning. Results: The results are divided into two parts: (i) descriptive analysis, in which the articles are presented from a bibliometric analysis, and (ii) semantic analysis, in which the articles are analyzed Teoria e Prática em Administração, ahead of print ,p. 42-5743using the four-step model of the educational data mining process. Contributions:The results contrib-ute with practical and academic recommendations, as they present as much as the process of data min-ing interferes in the management of e-learning, as well as an overview of the existing researches, in order to know the current research of the analyzed theme.

Autores	Marques, HR; Gomes, LG; Zambalde, AL; Grutzmann, A
Título	Educational Data Mining to Improve E-learning Management: a Systematic Literature Review
Afiliaciones	Universidade Federal de Lavras
Año	2020
DOI	10.21714/2238-104X2020v10i2-48085
Tipo de acceso abierto	gold
Referencia	WOS:000559369400005
Artículo obtenido de:	WOS

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Educational Data Mining to Improve E-learning Management: a Systematic Literature Review

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