Study the Effect of Using Google Classroom on the Academic Performance Under the Covid19 Pandemic Using Data Mining Technique

Authors

  • Bushra Khraibet Alsaidi Department of Industrial Management., faculty of Computer Science, University of technology
  • Mariam A. Ali University of Baghdad/ College of Administration and Economics/ Department of industrial management
  • Inaam A. Hussain Statistics Department, specializing in applied statistics, a teacher and researcher at the College of Administration and Economics in the University of Baghdad

DOI:

https://doi.org/10.3991/ijim.v17i06.38783

Keywords:

e-learning, learning management system, Google classroom, academic performance, Covid19 pandemic, data mining, deep learning.

Abstract


In light of the pandemic that has swept the world, the use of e-learning in educational institutions has become an urgent necessity for continued knowledge communication with students. Educational institutions can benefit from the free tools that Google provide and from these applications, Google classroom which is characterized by ease of use, but the efficiency of using Google classroom is affected by several variables not studied in previous studies Clearly, this study aimed to identify the use of Google classroom as a system for managing e-learning and the factors affecting the performance of students and lecturer. The data of this study were collected from 219 members of the faculty and students at the College of Administration and Economics at the University of Baghdad in Iraq and have reached Google classroom offers all the technologies wanted by students and lecturer but there is a positive correlation between lack of knowledge of technical matters and decrease in the use of Google classroom and online education and vice versa.

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Published

2023-03-21

How to Cite

Alsaidi, B. K., Ali, . M. A., & Hussain, I. A. (2023). Study the Effect of Using Google Classroom on the Academic Performance Under the Covid19 Pandemic Using Data Mining Technique. International Journal of Interactive Mobile Technologies (iJIM), 17(06), pp. 20–32. https://doi.org/10.3991/ijim.v17i06.38783

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Papers