Analysis the Effect of Social Media on University Education Through COVID-19 Pandemic Using the Naive Bayes Algorithm

Authors

  • Amal Fadhil Mohammed Al-Qasim Green University, Babylon, Iraq.
  • Akmam Majed Mosa Al-Qasim Green University, Babylon, Iraq.
  • Inas Kadhim Jebur Al-Qasim Green University, Babylon, Iraq.

DOI:

https://doi.org/10.5281/zenodo.7270790

Abstract

The spread of the COVID-19 around the world has led to changes in social practices and how institutions operate. The education sector was not immune to these changes, as the epidemic imposed unprecedented measures that led to the suspension of work in many government institutions, and the application of social distancing. It should be noted that the educational process is based on interaction between individuals, which contradicts the principles of social distancing, and threatens the educational process and exposes it to collapse. As a result, educational institutions have sought to find alternatives to traditional education, which is embodied in the adoption of the e-learning style through various electronic platforms that support the educational process. In this paper, we will discuss the extent of the impact of social media on university education by taking a sample of Al-Qasim Green University teachers using the Naive Bayes algorithm. Through this study, it was concluded that the social media greatly influences university education, with an accuracy of about 95%.

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Published

2022-11-01

How to Cite

Amal Fadhil Mohammed, Akmam Majed Mosa, & Jebur, I. K. (2022). Analysis the Effect of Social Media on University Education Through COVID-19 Pandemic Using the Naive Bayes Algorithm. LC International Journal of STEM (ISSN: 2708-7123), 3(3), 1-11. https://doi.org/10.5281/zenodo.7270790