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Data science for analyzing and improving educational processes.
Aljawarneh, Shadi; Lara, Juan A.
Afiliação
  • Aljawarneh S; Software Engineering Department, Jordan University of Science and Technology, Irbid, Jordan.
  • Lara JA; Escuela de Ciencias Técnicas e Ingeniería, Madrid Open University, UDIMA, Ctra. de la Coruña, km 38.500 - Vía de Servicio, 15 - 28400, Collado Villalba, Madrid Spain.
J Comput High Educ ; 33(3): 545-550, 2021.
Article em En | MEDLINE | ID: mdl-34729004
ABSTRACT
In this full review paper, the recent emerging trends in Educational Data Science have been reviewed and explored to address the recent topics and contributions in the era of Smart Education. This includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art, frameworks and techniques research projects in the area of Data Science applied to Education, using different approaches such as Information Fusion, Soft Computing, Machine Learning, and Internet of Things, among others. Based on this systematic review, we have put some recommendations and suggestions for researchers, practitioners and scholars to improve their research quality in this area.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article