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Deep Learning: The Impact on Future eLearning

机译:深入学习:对未来电子的影响

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eLearning as technology becomes more affordable in higher education but having a big barrier in the cost of developing its resources. Deep learning using artificial intelligence continues to become more and more popular and having impacts on many areas of eLearning. It offers online learners of the future with intuitive algorithms and automated delivery of eLearning content through modern LMS platforms. This paper aims to survey various applications of deep learning approaches for developing the resources of the eLearning platform, in which predictions, algorithms, and analytics come together to create more personalized future eLearning experiences. In addition, deep learning models for developing the contents of the eLearning platform, deep learning framework that enable deep learn-ing systems into eLearning and its development, benefits & future trends of deep learning in eLearning, the relevant deep learning-based artificial intelligence tools and a platform enabling the developer and learners to quickly reuse resources are clearly summarized. Thus, deep learning has evolved into developing ways to re-purpose existing resources can mitigate the expense of content development of future eLearning.
机译:作为技术在高等教育中变得更加实惠,但在开发资源的成本中具有大障碍。使用人工智能的深度学习仍然变得越来越受欢迎,并对许多电子教育领域产生影响。它提供了未来的在线学习者,通过现代LMS平台提供直观的算法和自动交付电子学习内容。本文旨在调查深入学习方法的各种应用,以开发电子学习平台的资源,其中预测,算法和分析集中在一起,创造更加个性化的未来电子教学体验。此外,为开发电子学习平台内容的深度学习模式,深入学习框架,使深入学习系统进入电子学习的发展,益处和未来趋势,对电子学习的深度学习,基于相关的深度学习的人工智能工具和一个平台,使开发人员和学习者能够快速重复使用资源。因此,深入学习已经发展成为开发的重新用途,现有资源可以减轻未来电子的内容开发的牺牲。

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