The Application of Artificial Neural Networks in Learning Analytics
| Autor: | Valiev Rustam, Mohammed Mahyoub, Mustafina Jamila, Galiullin Lenar |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Artificial neural network
business.industry Computer science Deep learning Learning analytics Volume (computing) 020206 networking & telecommunications 02 engineering and technology 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Statistical analysis Artificial intelligence Time series business |
| Zdroj: | DeSE |
| DOI: | 10.1109/dese51703.2020.9450779 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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