A Systematic Review of Deep Learning Approaches to Educational Data Mining
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 be...
Main Authors: | Antonio Hernández-Blanco, Boris Herrera-Flores, David Tomás, Borja Navarro-Colorado |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2019-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2019/1306039 |
Similar Items
-
A Systematic Review on Educational Data Mining
by: Ashish Dutt, et al.
Published: (2017-01-01) -
Active Methodology, Educational Data Mining and Learning Analytics: A Systematic Mapping Study
by: Tiago Luís de ANDRADE, et al.
Published: (2021-05-01) -
Deep-Learning Approach to Educational Text Mining and Application to the Analysis of Topics’ Difficulty
by: Lourdes Araujo, et al.
Published: (2020-01-01) -
Applying Educational Data Mining to Explore Students’ Learning Patterns in the Flipped Learning Approach for Coding Education
by: Hui-Chun Hung, et al.
Published: (2020-02-01) -
Metodología, construcción y explotación de corpus anotados semántica y anafóricamente
by: Navarro Colorado, Borja
Published: (2008)