Artículo

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

Resumen

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.
He, Xiaona (58653364300); Chen, Huiting (58753097200); Zhu, Xinyu (58753327700); Gao, Wei (37052008600)
Non-pharmaceutical interventions in containing COVID-19 pandemic after the roll-out of coronavirus vaccines: a systematic review
2024
10.1186/s12889-024-18980-2
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195438657&doi=10.1186%2fs12889-024-18980-2&partnerID=40&md5=ebc1c69bc6884a90e4758fc81966bfd7
Department of Epidemiology and Health Statistics, School of Public Health, Jiangxi Medical College, Nanchang University, Nanchang, China; Jiangxi Provincial Key Laboratory of Preventive Medicine and Public Health, Nanchang University, No. 461, Bayi Ave,, Nanchang, 330006, China
All Open Access; Gold Open Access
Scopus
Artículo obtenido de:
Scopus
Fuente
0 0 votos
Califica el artículo
Subscribirse
Notificación de
Campus Samborondón
Vía Samborondón Km. 13.5
Call Center: 5150400
metricas@ecotec.edu.ec
Facebook Instagram Youtube

Mapa del sitio