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Artificial Neural Networks in E-Learning Personalization: A Review

机译:人工神经网络在电子学习个性化中的应用

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Finding the appropriate personalized learning resources is a difficult process for users and learners on the web. Artificial Neural Networks show a great significance in helping users in personalizing their own learning interests from a large number of resources by giving suggestions to users and learners based on their preferences and all of this with less time and effort. This paper discusses the importance of using neural networks in E-Learning personalization and shows some current applications of them with their improvements and limitations.
机译:对于网络上的用户和学习者而言,找到合适的个性化学习资源是一个困难的过程。人工神经网络在帮助用户从大量资源中个性化他们自己的学习兴趣方面显示出极大的意义,它可以根据用户和学习者的偏好向他们提供建议,而这一切都需要花费更少的时间和精力。本文讨论了在神经网络学习个性化中使用神经网络的重要性,并展示了神经网络在改进和局限性方面的一些当前应用。

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