Deep Learning: The Impact on Future eLearning

Authors

  • Anandhavalli Muniasamy KING KHALID UNIVERSITY
  • Areej Alasiry KING KHALID UNIVERSITY

DOI:

https://doi.org/10.3991/ijet.v15i01.11435

Keywords:

Machine Learning, e-Learning

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 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.

Author Biographies

Anandhavalli Muniasamy, KING KHALID UNIVERSITY

ASSOCIATE PROFESSOR

Areej Alasiry, KING KHALID UNIVERSITY

ASSISTANT PROFESSOR

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Published

2020-01-15

How to Cite

Muniasamy, A., & Alasiry, A. (2020). Deep Learning: The Impact on Future eLearning. International Journal of Emerging Technologies in Learning (iJET), 15(01), pp. 188–199. https://doi.org/10.3991/ijet.v15i01.11435

Issue

Section

Papers