Understanding and Predicting Academic Performance Through Cloud Computing Adoption

Muzaffar, Tooba and Hussain, Hamza and Ali, Hamza and Ibrahim, Moona and Daniya, Daniya (2020): Understanding and Predicting Academic Performance Through Cloud Computing Adoption.

Abstract

The purpose of this study is to investigate the impact of cloud computing adaptation on academic performance and how cloud computing technology directly and indirectly impacting or facilitating the learning environment for students. The research supports the TAM (Technology Acceptance Model) Theory. Data was collected by using an electronic web-based questionnaire completed by 500 online respondents. For data collection, we have to use Partial Least Square (PLS), and Statistical Package examined data for Social Science (SPSS). In which three tests that are Reliability Test, Factor Analysis, and Regression Analyses method were used to analyze the priorities of explanation. A quantitative approach questionnaire has been used to collect the data from online respondents of Karachi. The research shows that cloud computing technology plays a crucial role in the e-learning field. Not only it increases efficiency in academic activities, but it also helps to work effectively. Within no time, students can share, store, and transfer their data information through various electronic devices. This study is initiated to investigate the cloud computing effects on academic activities or e-learning environment. The limitations of this research are sample size, which we have received is 500, which is limited for our study. In the present study, it was unable to approach to all the students of the university as the recent research is conducted only in Karachi city. The survey was undertaken solely by concentrating on how cloud computing affects academic performance. Still, the analysis can also be performed on how cloud computing technology can change the business sector or the corporate sector. We can focus on other variables as well in future researches.

• Item Type: MPRA Paper
• Language: English
• Keywords: Cloud Computing, Academic Performance, E-learning, Higher education.
• Subjects: I - Health, Education, and Welfare > I0 - General; I - Health, Education, and Welfare > I2 - Education and Research Institutions

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