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Toward Selection of Trustworthy and Efficient E-Learning Platform

Alojaiman, Bader

Access, IEEE, 2021, Vol.9, p.133889-133901

IEEE

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  • Título:
    Toward Selection of Trustworthy and Efficient E-Learning Platform
  • Autor: Alojaiman, Bader
  • Assuntos: Companies ; Decision making ; E-Learning platforms ; e-learning standards ; Electronic learning ; Engineering profession ; fuzzy logic ; Industries ; system evaluation ; system quality
  • É parte de: Access, IEEE, 2021, Vol.9, p.133889-133901
  • Descrição: The e-learning sector continues to evolve, with a growing number of eLearning resources available to businesses, government agencies, and individual people. With the fastest growth in developing economies attempting to close the educational gap, the scope of eLearning is now stronger than ever. Because of its low cost, comfort, and availability, e-learning is quickly becoming the world's dominant educational force of the twenty-first century. Students, experts, and professors are interacting with the educational setting in new ways due to e-learning platforms. Several academics struggle with deciding which of the numerous available platforms is the most suited for their scenario. Evaluating the benefits and drawbacks of every platform can help learners all over the world in designing personalized learning options that meet their budgets and context. This innovation is resilient and ever-changing in order to suit the needs of learners and educators all over the world. This article gives a brief overview of various popular online learning platforms. The main objective of this article is to shed some light on the effective advancement of e-learning platforms and evaluate them using a hybrid multiple criteria decision making (MCDM) model-oriented analysis amid pandemics and natural calamities, as well as provide recommendations for users about how to interact with the complexities of e-learning platform selection.
  • Editor: IEEE
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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