scholarly journals Survey on examining the student’s cognizance on usage of Cloud Computing in Higher Education

Author(s):  
Mrs. Sowmya Jyothi

Due to the advent of technology classroom teaching is adopting changes in the modern education system. Today, students have become more tech savvy as teaching and learning uses more advance technology day in, day out. The economic growth of any country is usually maintained and enhanced by education in terms of quality and level. Cloud computing is an exciting development in modern education system. Understanding the role of higher education institutions in Cloud Computing adoption is a necessary research area. Higher education institutions must consider opportunities afforded by cloud computing. The main purpose of this paper is to examine the student’s awareness on usage of Cloud Computing in Education. This study emphasizes the need for the relevance of improvising education by creating awareness among the students of Mangalore city. These researches encourage higher education institutions to adopt cloud computing technology.

2018 ◽  
Vol 14 (4) ◽  
pp. 64-77 ◽  
Author(s):  
Mohammed Banu Ali ◽  
Trevor Wood-Harper ◽  
Mostafa Mohamad

The aim of this article was to provide evidence pertaining to cloud computing (CC) adoption in education, namely higher education institutions (HEIs) or Universities. A systematic literature review (SLR) of empirical studies exploring the current CC adoption levels in HEIs and the benefits and challenges for using CC in HEIs was performed. A total of 20 papers were included in the SLR. It was discovered that a number of universities have a keen interest in using CC in their institution, and the evidence indicates a high level of successful CC adoption in the HEIs reviewed in the SLR. In conclusion, the SLR identified a clear literature gap in this research area: there exists limited empirical studies focusing on CC utilisation in HEIs.


Author(s):  
Mohammed Banu Ali ◽  
Trevor Wood-Harper ◽  
Mostafa Mohamad

The aim of this article was to provide evidence pertaining to cloud computing (CC) adoption in education, namely higher education institutions (HEIs) or Universities. A systematic literature review (SLR) of empirical studies exploring the current CC adoption levels in HEIs and the benefits and challenges for using CC in HEIs was performed. A total of 20 papers were included in the SLR. It was discovered that a number of universities have a keen interest in using CC in their institution, and the evidence indicates a high level of successful CC adoption in the HEIs reviewed in the SLR. In conclusion, the SLR identified a clear literature gap in this research area: there exists limited empirical studies focusing on CC utilisation in HEIs.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 63722-63744 ◽  
Author(s):  
Yousef A. M. Qasem ◽  
Rusli Abdullah ◽  
Yusmadi Yah Jusoh ◽  
Rodziah Atan ◽  
Shahla Asadi

2020 ◽  
Vol 10 (14) ◽  
pp. 4905 ◽  
Author(s):  
Yousef A. M. Qasem ◽  
Shahla Asadi ◽  
Rusli Abdullah ◽  
Yusmadi Yah ◽  
Rodziah Atan ◽  
...  

Cloud computing (CC) delivers services for organizations, particularly for higher education institutions (HEIs) anywhere and anytime, based on scalability and pay-per-use approach. Examining the factors influencing the decision-makers’ intention towards adopting CC plays an essential role in HEIs. Therefore, this study aimed to understand and predict the key determinants that drive managerial decision-makers’ perspectives for adopting this technology. The data were gathered from 134 institutional managers, involved in the decision making of the institutions. This study applied two analytical approaches, namely variance-based structural equation modeling (i.e., PLS-SEM) and artificial neural network (ANN). First, the PLS-SEM approach has been used for analyzing the proposed model and extracting the significant relationships among the identified factors. The obtained result from PLS-SEM analysis revealed that seven factors were identified as significant in influencing decision-makers’ intention towards adopting CC. Second, the normalized importance among those seven significant predictors was ranked utilizing the ANN. The results of the ANN approach showed that technology readiness is the most important predictor for CC adoption, followed by security and competitive pressure. Finally, this study presented a new and innovative approach for comprehending CC adoption, and the results can be used by decision-makers to develop strategies for adopting CC services in their institutions.


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