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Using Machine Learning Algorithms to Predict People's Intention to Use Mobile Learning Platforms During the COVID-19 Pandemic: Machine Learning Approach.

Iman AkourMuhammad Turki AlshuridehBarween Al KurdiAmel Al AliSaid A Salloum
Published in: JMIR medical education (2021)
Our study revealed that teaching and learning could considerably benefit from adopting remote learning systems as educational tools during the COVID-19 pandemic. However, the value of such systems could be lessened because of the emotions that students experience, including a fear of poor grades, stress resulting from family circumstances, and sadness resulting from a loss of friends. Accordingly, these issues can only be resolved by evaluating the emotions of students during the pandemic.
Keyphrases
  • machine learning
  • sars cov
  • high school
  • coronavirus disease
  • deep learning
  • artificial intelligence
  • big data
  • single cell
  • stress induced