人工神经网络在学习分析中的应用

J. Mustafina, L. Galiullin, R. Valiev, M. Mahyoub
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引用次数: 2

摘要

本文涵盖了深度学习用于教育数据挖掘(EDM)和学习分析(LA)的方法。本文综述了近年来应用人工神经网络(ANNS)的经典方法对电火花加工和人工神经网络的研究进展。作者得出的结论是,LA和EDM在应用一种新的、更深刻的人工神经网络技术——深度学习方面的研究不足。介绍了这些新方法,并研究了采用深度学习的LA和EDM方法
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Application of Artificial Neural Networks in Learning Analytics
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
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