The Application of Artificial Neural Networks in Learning Analytics

被引：2

作者：

Jamila, Mustafina ^{[1
]}

Lenar, Galiullin ^{[1
]}

Rustam, Valiev ^{[1
]}

Mahyoub, Mohammed ^{[2
]}

机构：

[1] Kazan Fed Univ, Naberezhnye Chelny, Russia

[2] Liverpool John Moores Univ, Liverpool, Merseyside, England

来源：

2020 13TH INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2020) | 2020年

关键词：

learning analytics; ANNS; education; data analysis;

D O I：

10.1109/DeSE51703.2020.9450779

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The article covers the methods of Deep Learning for education data mining (EDM) and learning analytics (LA). The authors have reviewed the researches on EDM and LA that have employed the classical approaches of artificial neural networks (ANNS). The authors come to conclusion that LA and EDM present insufficient volume of research on the application of a new and more profound technology of artificial neural networks - Deep Learning. The new methods are described and the research on LA and EDM that employs Deep Learning is studied

引用

页码：384 / 389

页数：6

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