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- Title
Deep Learning: The Impact on Future eLearning.
- Authors
Muniasamy, Anandhavalli; Alasiry, Areej
- Abstract
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 learning 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 repurpose existing resources can mitigate the expense of content development of future eLearning.
- Publication
International Journal of Emerging Technologies in Learning, 2020, Vol 15, Issue 1, p188
- ISSN
1863-0383
- Publication type
Academic Journal
- DOI
10.3991/ijet.v15i01.11435