Statistical analysis of online learning through cloud environment in higher education institutions using R Programming during COVID-19

• Published in: AIP conference proceedings Vol. 2516; no. 1
• Main Authors: Mary T., Ananthi Claral, Rose P. J., Arul Leena, Doss D., Armstrong
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Melville American Institute of Physics 30.11.2022
• Subjects: CAI; Cloud computing; Computer assisted instruction; Distance learning; Electronic devices; Higher education; Higher education institutions; Smartphones; Statistical analysis; Students
• ISSN: 0094-243X; 1935-0465; 1551-7616; 1551-7616
• DOI: 10.1063/5.0108559

Online learning through cloud platforms takes place on the cloud – a virtual space that is not tied to any computer. The cloud-based learning management systems bring vast benefits at all educational levels. These systems provide a powerful teaching tool. More educators are adopting them as their main learning management system, and students find them very intuitive to use. An online learning system based on cloud computing infrastructure is possible and it can significantly progress the effectiveness of investment that can make this system into a righteous path and accomplish a win-win situation for students and teachers. This online study comprises of several segments, namely, demographic details of the students, their usage of smart devices, device ownership, device connectivity and number of hours the device is connected in online. It consists of approximately 360 respondents. The statistical analysis was performed using R programming. The results indicated that most of the respondents utilize smartphones to access online classes through cloud platform. During pandemic circumstances the smart devices facilitated faculties and students of higher education sectors to teach and learn their subjects.