A Systematic Review of Deep Learning Approaches to Educational Data Mining
Joint Authors
Hernández-Blanco, Antonio
Herrera-Flores, Boris
Tomás, David
Navarro-Colorado, Borja
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-12
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Abstract EN
Educational Data Mining (EDM) is a research field that focuses on the application of data mining, machine learning, and statistical methods to detect patterns in large collections of educational data.
Different machine learning techniques have been applied in this field over the years, but it has been recently that Deep Learning has gained increasing attention in the educational domain.
Deep Learning is a machine learning method based on neural network architectures with multiple layers of processing units, which has been successfully applied to a broad set of problems in the areas of image recognition and natural language processing.
This paper surveys the research carried out in Deep Learning techniques applied to EDM, from its origins to the present day.
The main goals of this study are to identify the EDM tasks that have benefited from Deep Learning and those that are pending to be explored, to describe the main datasets used, to provide an overview of the key concepts, main architectures, and configurations of Deep Learning and its applications to EDM, and to discuss current state-of-the-art and future directions on this area of research.
American Psychological Association (APA)
Hernández-Blanco, Antonio& Herrera-Flores, Boris& Tomás, David& Navarro-Colorado, Borja. 2019. A Systematic Review of Deep Learning Approaches to Educational Data Mining. Complexity،Vol. 2019, no. 2019, pp.1-22.
https://search.emarefa.net/detail/BIM-1130994
Modern Language Association (MLA)
Hernández-Blanco, Antonio…[et al.]. A Systematic Review of Deep Learning Approaches to Educational Data Mining. Complexity No. 2019 (2019), pp.1-22.
https://search.emarefa.net/detail/BIM-1130994
American Medical Association (AMA)
Hernández-Blanco, Antonio& Herrera-Flores, Boris& Tomás, David& Navarro-Colorado, Borja. A Systematic Review of Deep Learning Approaches to Educational Data Mining. Complexity. 2019. Vol. 2019, no. 2019, pp.1-22.
https://search.emarefa.net/detail/BIM-1130994
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130994