THE IMPORTANCE OF USING CLOUD COMPUTING IN TRACKING STUDENTS' BEHAVIOR WHILE USING ASYNCHRONOUS E-LEARNING PLATFORMS

Authors

  • Salem Msaoud Adrugi Computer Department Faculty of Education- Elmergib University- Alkhoms -Libya

DOI:

https://doi.org/10.70672/6kwazw19

Keywords:

Asynchronous e-learning, cloud computing, Principal Component Analysis (PCA), Analysis of Variance (ANOVA)

Abstract

The problems that different aspects of teaching and learning provide to the education industry are continuous. Teachers and students together always struggle to increase their knowledge due to ongoing technological breakthroughs in education. In order to remain on track and maintain students’ engagement during the COVID-19 epidemic, several educational institutions were compelled to quickly implement such technologies. Students that participate in asynchronous e-learning are by themselves throughout the process of learning. The main effects of this loneliness are dissatisfaction and lack of motivation, which increase the dropout rate. Monitoring a student's behavior while they are learning enables timely intervention. However, the amount of information offered to teachers in the online courses could be excessive. This study has shown the impact of cloud computing and its function in tracking students' behavior throughout the asynchronous e-learning process. We compile student data and perform a questionnaire survey on the relevance of the cloud in asynchronous e-learning. To simplify the components and improve the outcomes, Principal Component Analysis (PCA) was applied. The findings are analyzed using descriptive statistical analysis and Analysis of Variance (ANOVA). The research demonstrates how technology use and improved internet infrastructure have a significant positive influence on learning, enabling studying at anytime and anyplace.

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Published

16-09-2024

Issue

Section

Articles

How to Cite

Salem Msaoud Adrugi. (2024). THE IMPORTANCE OF USING CLOUD COMPUTING IN TRACKING STUDENTS’ BEHAVIOR WHILE USING ASYNCHRONOUS E-LEARNING PLATFORMS. Malaysian Journal of Industrial Technology , 8(3), 91-105. https://doi.org/10.70672/6kwazw19